Parabolic SAR with Early Buy & MA-Based Exit Strategy📝 Strategy Description (Max SEO Impact)
This advanced Parabolic SAR-based trading strategy is designed to capture early trend reversals and exit intelligently using a dynamic moving average filter. It enters long trades when a PSAR reversal occurs, and exits only when the PSAR moves above price and the price falls below the 11-period SMA, helping avoid premature exits during volatile swings.
📌 Features:
• Custom Parabolic SAR calculation for refined trend tracking
• Background highlights during buy zones (SAR below price)
• Exit signals only when trend weakens (PSAR above + price under SMA)
• Red flag plotted on chart at exit bars for clear visual identification
• Works on all timeframes and instruments
Ideal for swing traders, trend followers, and strategy testers looking for smart PSAR-based entries with smoother exits.
Поиск скриптов по запросу "psar"
Asset Rotation System [InvestorUnknown]Overview
This system creates a comprehensive trend "matrix" by analyzing the performance of six assets against both the US Dollar and each other. The objective is to identify and hold the asset that is currently outperforming all others, thereby focusing on maintaining an investment in the most "optimal" asset at any given time.
- - - Key Features - - -
1. Trend Classification:
The system evaluates the trend for each of the six assets, both individually against USD and in pairs (assetX/assetY), to determine which asset is currently outperforming others.
Utilizes five distinct trend indicators: RSI (50 crossover), CCI, SuperTrend, DMI, and Parabolic SAR.
Users can customize the trend analysis by selecting all indicators or choosing a single one via the "Trend Classification Method" input setting.
2. Backtesting:
Calculates an equity curve for each asset and for the system itself, which assumes holding only the asset deemed optimal at any time.
Customizable start date for backtesting; by default, it begins either 5000 bars ago (the maximum in TradingView) or at the inception of the youngest asset included, whichever is shorter. If the youngest asset's history exceeds 5000 bars, the system uses 5000 bars to prevent errors.
The equity curve is dynamically colored based on the asset held at each point, with this coloring also reflected on the chart via barcolor().
Performance metrics like returns, standard deviation of returns, Sharpe, Sortino, and Omega ratios, along with maximum drawdown, are computed for each asset and the system's equity curve.
3 Alerts:
Supports alerts for when a new, confirmed optimal asset is identified. However, due to TradingView limitations, the specific asset cannot be included in the alert message.
- - - Usage - - -
1. Select Assets/Tickers:
Choose which assets or tickers you want to include in the rotation system. Ensure that all selected tickers are denominated in USD to maintain consistency in analysis.
2. Configure Trend Classification:
Decide on the trend classification method from the available options (RSI, CCI, SuperTrend, DMI, or Parabolic SAR, All) and adjust the settings to your preferences. This customization allows you to tailor the system to different market conditions or your specific trading strategy.
3. Utilize Backtesting for Calibration:
Use the backtesting results, including equity curves and performance metrics, to fine-tune your chosen trend indicators.
Be cautious not to overemphasize performance maximization, as this can lead to overfitting. The goal is to achieve a robust system that performs well across various market conditions, rather than just optimizing for past data.
- - - Parameters - - -
Tickers:
Asset 1: Select the symbol for the first asset.
Asset 2: Select the symbol for the second asset.
Asset 3: Select the symbol for the third asset.
Asset 4: Select the symbol for the fourth asset.
Asset 5: Select the symbol for the fifth asset.
Asset 6: Select the symbol for the sixth asset.
General Settings:
Trend Classification Method: Choose from RSI, CCI, SuperTrend, DMI, PSAR, or "All" to determine how trends are analyzed.
Use Custom Starting Date for Backtest: Toggle to use a custom date for beginning the backtest.
Custom Starting Date: Set the custom start date for backtesting.
Plot Perf. Metrics Table: Option to display performance metrics in a table on the chart.
RSI (Relative Strength Index):
RSI Source: Choose the price data source for RSI calculation.
RSI Length: Set the period for the RSI calculation.
CCI (Commodity Channel Index):
CCI Source: Select the price data source for CCI calculation.
CCI Length: Determine the period for the CCI.
SuperTrend:
SuperTrend Factor: Adjust the sensitivity of the SuperTrend indicator.
SuperTrend Length: Set the period for the SuperTrend calculation.
DMI (Directional Movement Index):
DMI Length: Define the period for DMI calculations.
Parabolic SAR:
PSAR Start: Initial acceleration factor for the Parabolic SAR.
PSAR Increment: Increment value for the acceleration factor.
PSAR Max Value: Maximum value the acceleration factor can reach.
Notes/Recommendations:
While this system is operational, it's important to recognize that it relies on "basic" indicators, which may not be ideal for generating trading signals on their own. I strongly suggest that users delve into the code to grasp the underlying logic of the system. Consider customizing it by integrating more sophisticated and higher-quality trend-following indicators to enhance its performance and reliability.
Disclaimer:
This system's backtest results are historical and do not predict future performance. Use for educational purposes only; not investment advice.
Forex bot full strategy with risk managementThis is a full strategy designed for forex major pairs, specially EUR/USD using 1h time frame chart.
Its components are
200 EMA
MACD
OBV
PSAR
RIsk management with tp and sl movements
Rules for entry
For long = Previous histogram from MACD was below 0 and current one is above 0. CLose of a candle is above EMA 200 , OBV oscillator is negative and we have an uptrend from PSAR
For short = Previous histogram from MACD was above 0 and current one is below 0. CLose of a candle is below EMA 200 , OBV oscillator is positive and we have an downtrend from PSAR
Rules for exit
For tp and sl values we calculate the distance from the close of candle until the psar values.
If you have any questions, let me know !
Parabolic SAR Heikin Ashi MTF Candle ScalperThis is scalper strategy designed around parabolic sar indicator, where as an input candle value it uses the heikinashi from a higher timeframe.
This example has been adapted to SPY/SPX chart
In this case ,we are using a 5 min chart, but the calculations are made on a 15 min heikin ashi chart for the PSAR and then on 5 min chart we plot the results.
At the same time we are conditioning the entry to be base on a time/session for daytrading/scalper mentality
In this case we only enter within the first 30 min of SPY opening session , and then we exit after 3-4 hours of staying in the position ( unless we hit a reverse condition).
For long condition we enter when the mtf ha candle close is above the mtf psar and for short condition we enter when the mtf ha candle close is below the mtf psar
This script is made with an educational purpose to show the power of multiple time frame approach compared to a single chart.
If you have any questions, let me know !
pandas_taLibrary "pandas_ta"
Level: 3
Background
Today is the first day of 2022 and happy new year every tradingviewers! May health and wealth go along with you all the time. I use this chance to publish my 1st PINE v5 lib : pandas_ta
This is not a piece of cake like thing, which cost me a lot of time and efforts to build this lib. Beyond 300 versions of this script was iterated in draft.
Function
Library "pandas_ta"
PINE v5 Counterpart of Pandas TA - A Technical Analysis Library in Python 3 at github.com
The Original Pandas Technical Analysis (Pandas TA) is an easy to use library that leverages the Pandas package with more than 130 Indicators and Utility functions and more than 60 TA Lib Candlestick Patterns.
I realized most of indicators except Candlestick Patterns because tradingview built-in Candlestick Patterns are even more powerful!
I use this to verify pandas_ta python version indicators for myself, but I realize that maybe many may need similar lib for pine v5 as well.
Function Brief Descriptions (Pls find details in script comments)
bton --> Binary to number
wcp --> Weighted Closing Price (WCP)
counter --> Condition counter
xbt --> Between
ebsw --> Even Better SineWave (EBSW)
ao --> Awesome Oscillator (AO)
apo --> Absolute Price Oscillator (APO)
xrf --> Dynamic shifted values
bias --> Bias (BIAS)
bop --> Balance of Power (BOP)
brar --> BRAR (BRAR)
cci --> Commodity Channel Index (CCI)
cfo --> Chande Forcast Oscillator (CFO)
cg --> Center of Gravity (CG)
cmo --> Chande Momentum Oscillator (CMO)
coppock --> Coppock Curve (COPC)
cti --> Correlation Trend Indicator (CTI)
dmi --> Directional Movement Index(DMI)
er --> Efficiency Ratio (ER)
eri --> Elder Ray Index (ERI)
fisher --> Fisher Transform (FISHT)
inertia --> Inertia (INERTIA)
kdj --> KDJ (KDJ)
kst --> 'Know Sure Thing' (KST)
macd --> Moving Average Convergence Divergence (MACD)
mom --> Momentum (MOM)
pgo --> Pretty Good Oscillator (PGO)
ppo --> Percentage Price Oscillator (PPO)
psl --> Psychological Line (PSL)
pvo --> Percentage Volume Oscillator (PVO)
qqe --> Quantitative Qualitative Estimation (QQE)
roc --> Rate of Change (ROC)
rsi --> Relative Strength Index (RSI)
rsx --> Relative Strength Xtra (rsx)
rvgi --> Relative Vigor Index (RVGI)
slope --> Slope
smi --> SMI Ergodic Indicator (SMI)
sqz* --> Squeeze (SQZ) * NOTE: code sufferred from very strange error, code was commented.
sqz_pro --> Squeeze PRO(SQZPRO)
xfl --> Condition filter
stc --> Schaff Trend Cycle (STC)
stoch --> Stochastic (STOCH)
stochrsi --> Stochastic RSI (STOCH RSI)
trix --> Trix (TRIX)
tsi --> True Strength Index (TSI)
uo --> Ultimate Oscillator (UO)
willr --> William's Percent R (WILLR)
alma --> Arnaud Legoux Moving Average (ALMA)
xll --> Dynamic rolling lowest values
dema --> Double Exponential Moving Average (DEMA)
ema --> Exponential Moving Average (EMA)
fwma --> Fibonacci's Weighted Moving Average (FWMA)
hilo --> Gann HiLo Activator(HiLo)
hma --> Hull Moving Average (HMA)
hwma --> HWMA (Holt-Winter Moving Average)
ichimoku --> Ichimoku Kinkō Hyō (ichimoku)
jma --> Jurik Moving Average Average (JMA)
kama --> Kaufman's Adaptive Moving Average (KAMA)
linreg --> Linear Regression Moving Average (linreg)
mgcd --> McGinley Dynamic Indicator
rma --> wildeR's Moving Average (RMA)
sinwma --> Sine Weighted Moving Average (SWMA)
ssf --> Ehler's Super Smoother Filter (SSF) © 2013
supertrend --> Supertrend (supertrend)
xsa --> X simple moving average
swma --> Symmetric Weighted Moving Average (SWMA)
t3 --> Tim Tillson's T3 Moving Average (T3)
tema --> Triple Exponential Moving Average (TEMA)
trima --> Triangular Moving Average (TRIMA)
vidya --> Variable Index Dynamic Average (VIDYA)
vwap --> Volume Weighted Average Price (VWAP)
vwma --> Volume Weighted Moving Average (VWMA)
wma --> Weighted Moving Average (WMA)
zlma --> Zero Lag Moving Average (ZLMA)
entropy --> Entropy (ENTP)
kurtosis --> Rolling Kurtosis
skew --> Rolling Skew
xev --> Condition all
zscore --> Rolling Z Score
adx --> Average Directional Movement (ADX)
aroon --> Aroon & Aroon Oscillator (AROON)
chop --> Choppiness Index (CHOP)
xex --> Condition any
cksp --> Chande Kroll Stop (CKSP)
dpo --> Detrend Price Oscillator (DPO)
long_run --> Long Run
psar --> Parabolic Stop and Reverse (psar)
short_run --> Short Run
vhf --> Vertical Horizontal Filter (VHF)
vortex --> Vortex
accbands --> Acceleration Bands (ACCBANDS)
atr --> Average True Range (ATR)
bbands --> Bollinger Bands (BBANDS)
donchian --> Donchian Channels (DC)
kc --> Keltner Channels (KC)
massi --> Mass Index (MASSI)
natr --> Normalized Average True Range (NATR)
pdist --> Price Distance (PDIST)
rvi --> Relative Volatility Index (RVI)
thermo --> Elders Thermometer (THERMO)
ui --> Ulcer Index (UI)
ad --> Accumulation/Distribution (AD)
cmf --> Chaikin Money Flow (CMF)
efi --> Elder's Force Index (EFI)
ecm --> Ease of Movement (EOM)
kvo --> Klinger Volume Oscillator (KVO)
mfi --> Money Flow Index (MFI)
nvi --> Negative Volume Index (NVI)
obv --> On Balance Volume (OBV)
pvi --> Positive Volume Index (PVI)
dvdi --> Dual Volume Divergence Index (DVDI)
xhh --> Dynamic rolling highest values
pvt --> Price-Volume Trend (PVT)
Remarks
I also incorporated func descriptions and func test script in commented mode, you can test the functino with the embedded test script and modify them as you wish.
This is a Level 3 free and open source indicator library.
Feedbacks are appreciated.
This is not the end of pandas_ta lib publication, but it is start point with pine v5 lib function and I will add more and more funcs into this lib for my own indicators.
Function Name List:
bton()
wcp()
count()
xbt()
ebsw()
ao()
apo()
xrf()
bias()
bop()
brar()
cci()
cfo()
cg()
cmo()
coppock()
cti()
dmi()
er()
eri()
fisher()
inertia()
kdj()
kst()
macd()
mom()
pgo()
ppo()
psl()
pvo()
qqe()
roc()
rsi()
rsx()
rvgi()
slope()
smi()
sqz_pro()
xfl()
stc()
stoch()
stochrsi()
trix()
tsi()
uo()
willr()
alma()
wcx()
xll()
dema()
ema()
fwma()
hilo()
hma()
hwma()
ichimoku()
jma()
kama()
linreg()
mgcd()
rma()
sinwma()
ssf()
supertrend()
xsa()
swma()
t3()
tema()
trima()
vidya()
vwap()
vwma()
wma()
zlma()
entropy()
kurtosis()
skew()
xev()
zscore()
adx()
aroon()
chop()
xex()
cksp()
dpo()
long_run()
psar()
short_run()
vhf()
vortex()
accbands()
atr()
bbands()
donchian()
kc()
massi()
natr()
pdist()
rvi()
thermo()
ui()
ad()
cmf()
efi()
ecm()
kvo()
mfi()
nvi()
obv()
pvi()
dvdi()
xhh()
pvt()
Parabolic SAR Multiple Timeframe levels (TechnoBlooms)The Parabolic SAR (Stop and Reverse) is a valuable tool for traders due to its ability to provide clear signals for trend direction and potential reversal points. One of its primary benefits is the ease of use; it visually indicates whether the market is trending up or down, helping traders decide when to buy or sell. The indicator also aids in setting stop-loss orders as it moves with price, offering a dynamic way to manage risk by suggesting when to exit a position if the trend reverses.
Viewing the Parabolic SAR (PSAR) across multiple timeframes offers traders a comprehensive approach to understanding market trends and making strategic decisions. By analyzing the PSAR on shorter timeframes like 1-minute or 5-minute charts, traders can pinpoint precise entry and exit points for quick trades, capitalizing on immediate market movements.
Settings
> User can select 10 different timeframes according to their wish
> User can change Parabolic SAR settings like Start, Increment and Maximum Value
New_Concepts_in_Technical_Trading_SystemsLibrary "New_Concepts_in_Technical_Trading_Systems"
A library for trading with mathematical indicators as described by J. Welles Wilder Jr. in 1978
psar(highSeries, lowSeries, closeSeries, start, increment, max)
psar calculates the parabolic SAR for the given series. Uses defaults as described by Wilder
Parameters:
highSeries (float) : the series of high price values
lowSeries (float) : the series of low price values
closeSeries (float) : the series of close price values
start (float) : the initial acceleration factor
increment (float) : amount the acceleration factor is incremented each step
max (float) : the maximum acceleration factor
Returns: the value of the stop and reverse price
momentum(closeSeries)
momentum calculates the momentum value, representing an acceleration of the current trend direction. Also calculates the trend balancing point which is a pivot to the momentum increasing or decreasing.
Parameters:
closeSeries (float) : the series of close price values
Returns: the value of the momentum and the next trend balance point
2 Moving Averages | Trend FollowingThe trading system is a trend-following strategy based on two moving averages (MA) and Parabolic SAR (PSAR) indicators.
How it works:
The strategy uses two moving averages: a fast MA and a slow MA.
It checks for a bullish trend when the fast MA is above the slow MA and the current price is above the fast MA.
It checks for a bearish trend when the fast MA is below the slow MA and the current price is below the fast MA.
The Parabolic SAR (PSAR) indicator is used for additional trend confirmation.
Long and short positions can be turned on or off based on user input.
The strategy incorporates risk management with stop-loss orders based on the Average True Range (ATR).
Users can filter the backtest date range and display various indicators.
The strategy is designed to work with the date range filter, risk management, and user-defined positions.
Features:
Trend-following strategy.
Two customizable moving averages.
Parabolic SAR for trend confirmation.
User-defined risk management with stop-loss based on ATR.
Backtest date range filter.
Flexibility to enable or disable long and short positions.
This trading system provides a comprehensive approach to trend-following and risk management, making it suitable for traders looking to capture trends with controlled risk.
Any Screener (Multiple)I suppose it's time to publish something relatively useful :). Here's the first try, Any Screener.
This script is an advanced version of the Alphatrend - Screener that I've coded as a humble "thank you" to Kıvanç Özbilgiç (KivancOzbilgic), who always inspired me.
INTRODUCTION
I developed this version with a unique method because I couldn't find an example with the following features:
It presents the valid signal status of multiple indicators for 15 different symbols in the form of a report.
It indicates how many bars have passed after the signal has occurred.
It indicates the signal direction with dynamic colors and chars.
It can also be used for data (just indicator value) that is only intended to be displayed as text. (Default color is grey).
Long and short signals can optionally be ploted on the chart.
It includes advanced configuration settings.
USAGE OF PANEL
The screener panel is simple to use. On the far left, assets are listed. The names of the indicators appear at the top. In the column with the name of each indicator, the signals of that indicator appear as green or red. The green ones represent the long signals (uptrend) and the red ones represent the short signals (down trend). The numbers in square brackets indicate how many bars have passed after the last signal has occurred. (For example: According to the indicator at the top, when the green bullish triangle and 21 appeared on allign of BTCUSDT, Bitcoin switched to buy signal 21 bars ago. A tip : If the signal distance is 0, the signal occurred at the current bar. It is recommended to wait for the bar to close before entering the trade). Signal distance is an essential output for both manual and algorithmic trading. Users often require mentioned data the most during real time trading.
THE SCRIPT
There are two sections in the script; indicators and screener.
SECTION 1 : "INDICATORS"
In the indicator section, you'll find efficient details about switch methods, normalization, avoid pyramyding (in momentum oscillators) etc. On the other hand, I intended to present a "how to example" of a multiple screener, so it has to include more than one indicator.
OTT : Optimized Trend Tracker is developed by dear Anıl Özekşi, known as the "Old Fisherman" :). In my opinion, it is a pretty cool trend-following indicator that offers a mathematical elegance. This indicator aim to detect the current market trend direction, the indicator detect an up-trending market when the support line is superior to the OTT, and a down trending market when the support line is inferior to the OTT. It has three parameters; moving average type, length and percentage. In this version when the percentage parameter is set to 0.0, OTT turns into the selected moving average. And the signals are generated by the crossing of the closing price. It means, this screener is able to compile and present status of moving averages as well. Also VAR (VIDYA) and EVWMA has been re-designed, both moving averages no longer start at zero at the beginning of the chart (That was a big problem for backtests).
PSAR : J. Welles Wilder's Parabolic Stop And Reversal is an important trend following indicator. PSAR detects an up-trending market when below the market price and a down-trend when above. It can work in harmony with OTT according to the parameter combinations.
OSCILLATORS : Also optional three momentum oscillators have been added. MFI (Money Flow Index), RSI (Relative Strength Index) and STOCH (Stochastic %k). All three oscillators are widely used in markets and quite successful in explaining price movements by using different sources. Oscillators generate long and short signals based on oversold and overbought parameters.
VOLATILITY & TREND : There are three optional indicators. ADX (Average Directional Index), BBW-N (Normalized Bollinger Bandwidth) and REG-N (Normalized value of standard error of linear regression). These three indicators don't generate any long or short signals. Instead, they are used to measure the strength of trends and volatility. Therefore, only the numerical results (0-100) are displayed in screener panel and it is grey. (Note : The second length parameter of ADX has the same value with the first one. Bollinger Bandwith's multiplier is 2.0. REG-N is a variable that developed by Paul Kirshenbaum for Kirshenbaum Bands.)
SECTION 2 : "SCREENER"
The second section processes the main idea. This Screener model is based on generating an integer direction variable from boolean signals. The direction value serves multiple purposes: calculating the distance of signal, determining the color based on the direction, and creating "clean" data for the security function. The final step is to present the obtained data as text to the user.
HOW CAN I "SCREEN" MY CONDITIONS?
That's piece a cake, delete the Section 1 in the script :). If you change totally 11 variables according to your own strategy, you can create your new screener! The method is explained at lines 169-171.
SINCERELY THANKS
To allanster for patiently answering my primitive questions,
And to KivancOzbilgic for mind blowing suggestions (especially while we're drinking Raki) :)...
DISCLEIMER
This is just an indicator, nothing more. The script is for informational and educational purposes only. The use of the script does not constitute professional and/or financial advice. The responsibility for risks associated with the use of the script is solely owned by the user. Do not forget to manage your risk. And trade as safely as possible. Good luck!
Seth_Signal
This script designed to identify up, down, and sideways trends. 200 HMA , 9 EMA , PSAR, and ATR are used to identify the strength of any instrument.
Candle Colors - Simpler approach to follow:
Green color indicates for up side trade signals
Red color indicates for down side trade signals
Yellow color can be interpreted for stop, sideways, and counter trade trade signals
Multiple Trade Setups:
Green Zone - Trading green candles within green zone has better odds of long trades
Red Zone - Trading red candles within red zone has better odds of short trades
200 HMA - Candles above 200 HMA mostly for long trades. Candles below 200 HMA usually for short trades. But the zone also very important to consider
9 EMA - Cross over above 200 HMA in Green zone, look for long trades. Cross over below 200 HMA in red zone, look for short trades
PSAR - This can be used as potential initial warning sign. Also can be used to exit partial or wait for it goes to opposite side for taking trade decisions
Candle Above all - If Green candle and above all the indicators, then very good sign of long side. If red candle and below all indicators, then very good sign of short side.
Multiple Time Frame:
This works very well with any instrument and on any time frame. Always its better to do analysis on multi time frame before entry, exit, and trade execution. Back test it with this setup and also observe it on live market. That will give edge in taking trade decisions. All the best and happy trading.
Bjorgum AutoTrailOne Time Trade Risk Management
Incorporating the new interactive feature, this script is meant as a one time trailing stop for the active trader to manage positional risk of an ongoing trade. As a crypto trader or Fx trader, many may find themselves in a position late into the evening, or perhaps daily life is calling while a trade progresses in their favor. Adding a trailing stop to a position thats trending can help to keep you in the trade and lock in gains if things turn around when you are unable to react.
To use the trail, the user would add the script to the chart. Once added, a set of crosshairs will appear allowing the user to choose a point to begin. Often choosing to start a trail from a swing high/ low can be an ideal option. This tends to provide some protection for a stop by placing it under support for a long trade or above resistance for a short trade.
Price based trail
The trail will automatically plot and the offset is a factor of the distance from price action selected by the crosshairs. If placed above price action the script will plot a short trail, if placed below it will trail for a long position.
Additionally, there are several other trail types other than price based. There is also percent based, which offsets the trail as a percent from close. A hard stop is placed at the cross hair value, then once the distance is exceeded by the percentage specified, the trail begins.
There are 2 more volatility based trails. There is a PSAR trail which can provide quicker and tighter stops that accelerate with the trend locking in gains faster, and an ATR trail that keeps a distance from price action as a function of volatility. Volatility levels can be adjusted from the menu.
Volatility based trail (ATR)
Volatility based trail (PSAR)
Lastly, within the code for more the more technical savvy, is some starting setups for string alerts to be sent to exchanges via 3rd party or custom API applications. Some string manipulation is required for specific providers to meet their requirements, but there is some building block alerts that will take the ticker symbol, recognize the asset your trading (Fx, Crypto, etc) and take input quantity or exchange names from the settings via inputs.
Complex strings can be built to perform almost any trade related task when to comes to alerts via web hook. A little setup this way with some technology to back your system can mean a semi-automated half man, half machine setup that actually manages your trail stop while you cannot. For those that don’t go this far, there is some basic alert functionality that well trigger when a trail is hit so you can react and make a decision.
Please note that for now, interactive mode is engaged only when the script is added to the chart. Additional stops, or for adjustments to be made it is best to add a new version. Also as real trades could be at play managing an actual position, alerts are designed to go off only once to ensure no duplicate orders are sent meaning alerts are not reoccurring. Once an alert is triggered, a new trail is to be set up.
A modified version of the TradingView built in SAR equation was used in this script. To provide the value of the SAR on the stop candle, it was necessary to alter the equation to extract this value as the regular SAR “flips” at this point. Thank you to TradingView for supplying access to the built in formula so that this SAR could behave the same as the built-in function outside of these alterations
Example of SAR value maintained in trigger candle
Cheers and happy trading.
[francrypto® strategy] 4 EMAs, P.SAR & Vol.Prof. (by kv4coins)(ENG)
This script consists of my own strategy for cryptocurrency (but can be adapted very well for stocks, forex, etc.)
Is a combination of:
- Four Exponentials Moving Average (EMA), configurables: by defect are 10, 21, 55 and 200 periods in yellow, aqua, orange and blue each of them
- Parabolic SAR System (PSAR), configurable
- Volume Profile (that has been developed by kv4coins - he has already authorized me to use it under the same OSS Licence Terms: MPL 2.0), configurable: with another default values and bilingual support for Spanish (SPA)
How it works
1) It is always better to detect specifics candlesticks or patrons: doji , pinbar or inverted pinbar , engulfing bars , morning star or evening star , harami , twizzer bottom or top , etc.
2) The 10 and 21 periods EMA help to identify the short-term behavior
3) The 55 periods EMA can be used like a support or resistance in medium-term, as 200 periods EMA in very long-term
4) It will convenient search for a double cross (10 & 21) or a triple cross (10, 21 & 55) to determine the medium-term change Downtrend to UpTrend (or viceversa)
5) Confirm the change patron with the Parabolic SAR and then identify potencials purchases or sales
6) Use Volume profile to detect potential supports or resistances areas, in order to set stop limit/loss and take profit orders.
Hope this helps!
Cheers,
FRANCRYPTO®
–––––– 0 ––––––
(ESP)
Este script consiste en mi propia estrategia para criptomonedas (pero puede adaptarse muy bien para acciones, forex, etc.)
Es la combinación de:
1) Cuatro Medias Móviles Exponenciales (EMA), configurables: por defecto son de 10, 21, 55 y 200 períodos en amarillo, turquesa, naranja y azul cada una de ellas
2) Sistema Parabolic SAR (PSAR), configurable
3) Perfil de Volumen (que fuera desarrollado por kv4coins - que ya me ha autorizado a su uso bajo las mismas condiciones de la Licencia OSS: MPL 2.0), configurable: con otros valores por defecto y soporte bilingüe para Español (SPA)
Cómo funciona
1) Siempre va a resultar mejor detectar velas japonesas específicas o patrones: doji , martillos o martillos invertidos , velas envolventes , patrón amanecer o atardecer , harami , velas gemelas , etcétera
2) La EMA de 10 y 21 períodos ayudan a identificar el comportamiento de corto plazo
3) La EMA de 55 períodos puede ser usada como un soporte o resistencia de mediano plazo, como así también, la EMA de 200 períodos en el muy largo plazo
4) Será conveniente buscar un doble cruce (10 & 21) o un triple cruce (10, 21 & 55) para determinar un cambio de la tendencia de mediano plazo de bajista hacia alcista (o viceversa)
5) Confirmá el patrón de cambio con la Parabólica de SAR y entonces identificá potenciales compras o ventas
6) Usá el perfil de volumen para detectar las potenciales zonas de soporte o resistencia, principalmente para establecer ordenes stop limit/loss o take profit.
¡Espero que pueda serles de utilidad!
Saludos,
FRANCRYPTO®
KAMA Strategy - Kaufman's Adaptive Moving AverageThis strategy combines Kaufman's Adaptive Moving Average for entry with optional KAMA, PSAR, and Trailing ATR stops for exits.
Kaufman's Adaptive Moving Average is, in my opinion, a gem among the plethora of indicators. It is underrated considering it offers a solution that intuitively makes a lot of sense. When I first read about it, it was a real 'aha!' moment. Look at the top, pink line. Notice how during trending times it follows the trend quickly and closely, but during choppy, non-trending periods, the KAMA stays absolutely flat? Interesting! To trade with it, we simply follow the direction the KAMA is pointing. Is it up? Go long. Is it down? Go short. Is it flat? Hold on.
How does it manage to quickly follow real trends like a fast EMA but ignore choppy conditions that would whipsaw a fast EMA back and forth? It analyses whether recent price moves are significant relative to recent noise and then adapts the length of the EMA window accordingly. If price movement is big compared to the recent noise, the EMA window gets smaller. If price movement is relatively small or average compared to the recent noise, the EMA window gets bigger. In practice it means:
The KAMA would be flat if a 20 point upwards move occurred during a period that has had, on average, regular 20 point moves BUT
the KAMA would point up if a 20 point move occurred during a period that has, on average, had moves of only around 5 points.
In other words, it's a slow EMA during choppy flat / quiet flat periods, and a fast EMA as soon as significant volatility occurs. Perfect!
-----
The Strategy
The strategy is more than just a KAMA indicator. It contains:
KAMA exit (optional)
ATR trailing stop loss exit (optional)
PSAR stop loss exit (optional)
KAMA filter for entry and exits
All features are adjustable in the strategy settings
The Technical Details:
Check out the strategy's 'Inputs' panel. The buy and sell signals are based on the 'KAMA 1' there.
KAMA 1: Length -- 14 is the default. This is the length of the window the KAMA looks back over. In this instance, it c
KAMA 1: Fast KAMA Length -- 2 is the default. This is the tightest the EMA length is allowed to get. It will tend towards this length when volatility is high.
KAMA 1: Slow KAMA Length -- 20 is the default. This is the biggest the EMA length is allowed to get. It will tend towards this length when volatility is low.
KAMA Filter
The strategy buys when the KAMA begins to point up and sells when the KAMA points down. Generally, the KAMA is very good at filtering out the noise itself - it will go flat during noisy/choppy periods. But to add another layer of safety, its author, Perry Kaufman, proposed a KAMA filter. It works by taking the standard deviation of returns over the length of the the 'KAMA 1: Length' I mentioned above and multiplying it by an 'Entry Filter' (1 by default) and 'Exit Filter' (0.5 by default). The entry condition to go long is that the KAMA is pointing up and and it moved up more than 1 x St. Dev. of Returns. The exit condition is when the KAMA is pointing down and it moved down by more than 0.5 x St. Dev. of Returns.
Thanks
Thanks to ChuckBanger, cheatcountry, millerrh, and racer8 for parts of the code. I was able to build upon their good work.
-----
I hope this strategy is helpful to you.
Do you have any thoughts, ideas, or questions? Let me know in the comments or send me a message! I'd be glad to help you out.
If you need an indicator or strategy to be built or customised for you, let me know! I'll be glad to help and it'll probably be cheaper than you think!
One-Stop Trading SetupOne-Stop Trading Setup:
This script designed to identify up, down, and sideways trends. 200 HMA, 9 EMA, PSAR, and ATR are used to identify the strength of any instrument.
Candle Colors - Simpler approach to follow:
Green color indicates for up side trade signals
Red color indicates for down side trade signals
Yellow color can be interpreted for stop, sideways, and counter trade trade signals
Multiple Trade Setups:
Green Zone - Trading green candles within green zone has better odds of long trades
Red Zone - Trading red candles within red zone has better odds of short trades
200 HMA - Candles above 200 HMA mostly for long trades. Candles below 200 HMA usually for short trades. But the zone also very important to consider
9 EMA - Cross over above 200 HMA in Green zone, look for long trades. Cross over below 200 HMA in red zone, look for short trades
PSAR - This can be used as potential initial warning sign. Also can be used to exit partial or wait for it goes to opposite side for taking trade decisions
Candle Above all - If Green candle and above all the indicators, then very good sign of long side. If red candle and below all indicators, then very good sign of short side.
Multiple Time Frame:
This works very well with any instrument and on any time frame. Always its better to do analysis on multi time frame before entry, exit, and trade execution. Back test it with this setup and also observe it on live market. That will give edge in taking trade decisions. All the best and happy trading.
Disclaimer:
This script and setup is written with the sole purpose of identifying the strength of any instrument. Interpretation, trade decisions, and changing inputs are up to each individual users/trades.
Nailed BarsNailed bars was introduced by Joy22 in an article "Pip Nailer Trading System" submit on forexstrategiesresources on 06/01/2012
Rule of Nailed Bars is below:
1. Nailed Sell Bar:
* PSAR appears above the bar
* The Awesome Oscillator (AO) turns red
* The Accelerator Oscillator (AC) turns red
2. Nailed Buy Bar:
* PSAR appears below the bar
* The Awesome Oscillator (AO) turns green
* The Accelerator Oscillator (AC) turns green
=== About this indicator: Nailed Bars ===
This indicator is detecting all nailed bars was appeared on chart and display infomations in a panel. So traders who are using "Pip Nailer Trading System" can easily control the trade.
ULTIMATE ICHIMOKU TRADING SUITEThis is an update of "Uncle Mo's Ultimate Ichimoku V1"
Main features:
2 x Ichimoku Cloud
5 x EMA
2 x MA
1 x HullMA
Williams Fractal
Bollinger Bands - ***NEW***
ATR - ***NEW***
PSAR - ***NEW***
Candlestick Patterns - ***NEW***
Price Action Bars- ***NEW***
List of credits:
@br0qn for the Ichimoku
@RicardoSantos for the Bill Williams Fractal
@EmilianoMesa for the EMAs/MAs
@mohamed982 for the HullMA
@ymaheshreddy4u for the Bollinger Bands
@ChrisMoody for the Price Action Bars and PSAR
@HPotter for the ATR
@repo32 for the Candlestick Patterns
The script is open source and free to use. Feel free to change it around to suit your needs.
***If you copy & paste code from other traders to make your own script, please do remember to give them credit for their amazing work.***
Happy trading!
IMPULSE_2PSAR_ST_CMGEmasCurrently under Development.
Designed to easily get the trend using both SuperTrend and CM Guppy Emas, and using 2 PSARs for entry and trend change alert.
intended to trade scalping and options
GarlicBread ( Ger Dunne & Sarah Jane Cruickshank ) 4 Moving Averages and parabolic SARs ...... a cross over of yellow and blue along with red crossing green indicates a reversal , and combined with the PSARs should help with entry on big reversals
Slope Rank ReversalThis tool is designed to solve the fundamental problem of "buying low and selling high" by providing objective entry/exit signals based on momentum extremes and inflection points.
The System employs three core components:
Trend Detection (PSAR): The Parabolic SAR is used as a filter to confirm that a trend reversal or transition is currently underway, isolating actionable trade setups.
Dynamic Momentum Ranking: The indicator continuously measures the slope of the price action. This slope is then ranked against historical data to objectively identify when an asset is in an extreme state (overbought or oversold).
Signal Generation (Inflection Points):
Oversold/Buy: A 🟢 Green X is generated only when the slope ranking indicates the market is steeply negative (oversold), and the slope value begins to tick upwards (the inflection point), signaling potential mean reversion.
Overbought/Sell: A 🔴 Red X is generated only when the slope ranking indicates the market is steeply positive (overbought), and the slope value begins to tick downwards, signaling momentum exhaustion.
The core philosophy is simple: Enter only when the market is exhausted and has started to turn.
DynLenLibLibrary "DynLenLib"
sum_dyn(src, len)
Parameters:
src (float)
len (int)
lag_dyn(src, len)
Parameters:
src (float)
len (int)
highest_dyn(src, len)
Parameters:
src (float)
len (int)
lowest_dyn(src, len)
Parameters:
src (float)
len (int)
var_dyn(src, len)
Parameters:
src (float)
len (int)
stdev_dyn(src, len)
Parameters:
src (float)
len (int)
hl2()
hlc3()
ohlc4()
sma_dyn(src, len)
Parameters:
src (float)
len (int)
ema_dyn(src, len)
Parameters:
src (float)
len (int)
rma_dyn(src, len)
Parameters:
src (float)
len (int)
smma_dyn(src, len)
Parameters:
src (float)
len (int)
wma_dyn(src, len)
Parameters:
src (float)
len (int)
vwma_dyn(price, vol, len)
Parameters:
price (float)
vol (float)
len (int)
hma_dyn(src, len)
Parameters:
src (float)
len (int)
dema_dyn(src, len)
Parameters:
src (float)
len (int)
tema_dyn(src, len)
Parameters:
src (float)
len (int)
kama_dyn(src, erLen, fastLen, slowLen)
Parameters:
src (float)
erLen (int)
fastLen (int)
slowLen (int)
mcginley_dyn(src, len)
Parameters:
src (float)
len (int)
median_price()
true_range()
atr_dyn(len)
Parameters:
len (int)
bbands_dyn(src, len, mult)
Parameters:
src (float)
len (int)
mult (float)
bb_percent_b(src, len, mult)
Parameters:
src (float)
len (int)
mult (float)
bb_bandwidth(src, len, mult)
Parameters:
src (float)
len (int)
mult (float)
keltner_dyn(src, lenEMA, lenATR, multATR)
Parameters:
src (float)
lenEMA (int)
lenATR (int)
multATR (float)
donchian_dyn(len)
Parameters:
len (int)
choppiness_index(len)
Parameters:
len (int)
vol_stop(lenATR, mult)
Parameters:
lenATR (int)
mult (float)
roc_dyn(src, len)
Parameters:
src (float)
len (int)
rsi_dyn(src, len)
Parameters:
src (float)
len (int)
stoch_dyn(kLen, dLen, smoothK)
Parameters:
kLen (int)
dLen (int)
smoothK (int)
stoch_rsi_dyn(rsiLen, stochLen, kSmooth, dLen)
Parameters:
rsiLen (int)
stochLen (int)
kSmooth (int)
dLen (int)
cci_dyn(src, len)
Parameters:
src (float)
len (int)
cmo_dyn(src, len)
Parameters:
src (float)
len (int)
trix_dyn(len)
Parameters:
len (int)
tsi_dyn(shortLen, longLen)
Parameters:
shortLen (int)
longLen (int)
ultimate_osc(len1, len2, len3)
Parameters:
len1 (int)
len2 (int)
len3 (int)
dpo_dyn(src, len)
Parameters:
src (float)
len (int)
willr_dyn(len)
Parameters:
len (int)
macd_dyn(src, fastLen, slowLen, sigLen)
Parameters:
src (float)
fastLen (int)
slowLen (int)
sigLen (int)
ppo_dyn(src, fastLen, slowLen, sigLen)
Parameters:
src (float)
fastLen (int)
slowLen (int)
sigLen (int)
aroon_dyn(len)
Parameters:
len (int)
dmi_adx_dyn(diLen, adxLen)
Parameters:
diLen (int)
adxLen (int)
vortex_dyn(len)
Parameters:
len (int)
coppock_dyn(rocLen1, rocLen2, wmaLen)
Parameters:
rocLen1 (int)
rocLen2 (int)
wmaLen (int)
rvi_dyn(len)
Parameters:
len (int)
price_osc_dyn(src, fastLen, slowLen)
Parameters:
src (float)
fastLen (int)
slowLen (int)
rci_dyn(src, len)
Parameters:
src (float)
len (int)
obv()
pvt()
cmf_dyn(len)
Parameters:
len (int)
adl()
chaikin_osc_dyn(fastLen, slowLen)
Parameters:
fastLen (int)
slowLen (int)
mfi_dyn(len)
Parameters:
len (int)
volume_osc_dyn(fastLen, slowLen)
Parameters:
fastLen (int)
slowLen (int)
up_down_volume()
cvd()
supertrend_dyn(atrLen, mult)
Parameters:
atrLen (int)
mult (float)
envelopes_dyn(src, len, pct)
Parameters:
src (float)
len (int)
pct (float)
linreg_line_slope(src, len)
Parameters:
src (float)
len (int)
lsma_dyn(src, len)
Parameters:
src (float)
len (int)
corrcoef_dyn(a, b, len)
Parameters:
a (float)
b (float)
len (int)
psar(step, maxStep)
Parameters:
step (float)
maxStep (float)
pivots_standard()
williams_alligator(src, jawLen, teethLen, lipsLen)
Parameters:
src (float)
jawLen (int)
teethLen (int)
lipsLen (int)
twap_dyn(src, len)
Parameters:
src (float)
len (int)
vwap_anchored(price, volume, reset)
Parameters:
price (float)
volume (float)
reset (bool)
performance_pct(len)
Parameters:
len (int)
Previous Day Fibonacci + Opening RangePrev Day Fibonacci & Opening Range Levels
This indicator is designed for professional traders who want to combine yesterday’s market structure with today’s intraday levels.
🔹 Features:
Automatic Fibonacci Retracements: Draws customizable Fibonacci retracement/extension levels based on the previous day’s High & Low.
Full Customization: Users can adjust the Fibonacci ratios and colors directly in settings.
Opening Range Levels: Plots today’s first candle High & Low (user-selectable timeframe for OR).
Clear Visuals: Helps identify key reversal zones, breakout levels, and confluence areas between higher timeframe structure and intraday moves.
🔹 Usage Ideas:
Spot potential reversal zones when price reacts to previous-day Fib levels.
Combine Opening Range breakout strategies with daily Fib levels for high-probability setups.
Use as confluence levels with your existing price action or indicator-based strategy.
⚡ Pro Tip: Look for overlaps between the Opening Range and Fibonacci retracements — these zones often act as strong support/resistance areas.
