MTF MACD (PPO) [TANHEF]Mult-Timeframe Moving Average Convergence Divergence (MACD) and Percentage Price Oscillator (PPO) indicator that allows for viewing of 1 to 5 different Timeframes.
Brief Summary
The primary benefit of multi-timeframe indicators is getting better entries and confirmation from viewing multiple time frames at once, which can often get overlooked.
MACD shouldn't be only used by itself, it is a lot more consistent when applied in the same direction as the trend as well as multiple other things including support, resistance, and volume improve the outcomes of the MACD results.
Personally, I look for good entries on higher and lower time frames (multiple timeframes must agree with the buying or selling). For example, if a higher timeframe looks like a good long entry (MACD line is crossing up and below the zero line), then the lower timeframes should be checked to ensure they are not oversold or overextended (the MACD line must be low or below the zero), once the lower and higher timeframes are in agreeance an entry can be made.
What is Moving Average Convergence Divergence (MACD)?
Moving average convergence divergence (MACD) is a trend-following momentum indicator that shows the relationship between two moving averages of the price. The MACD is calculated by subtracting the 26-period exponential moving average (EMA) from the 12-period EMA.
What is the Percentage Price Oscillator (PPO)?
The PPO is identical to the MACD indicator, except the PPO measures percentage difference between two EMAs, while the MACD measures absolute (or dollar) difference. The PPO has the advantage of being comparable to other assets with different prices, whereas MACD readings are not comparable. For example, regardless of the asset's price, a PPO result of 10 means the short-term average is 10% above the long-term average.
A signal line can be displayed on Timeframe, including:
- MACD & Signal Line crosses (Green when MACD above Signal Line and Red when MACD below Signal Line)
- Histogram Direction (fast and slow EMA gap)
- SuperTrend for identifying trend direction (green for uptrend, red for downtrend)
- EMA Trend for identifying trend direction (above EMA = up trend and green, below EMA = down trend and red)
Cross Dots and Potential cross dots
- Green Dot, is displayed when the MACD crosses the Signal Line
- Red Dot, is displayed when the MACD crosses the Signal Line
- Yellow Dot. Potential cross up (green dot) on next bar. Displayed when if the same distance a MACD moves on a bar is applied to the next bar will cause a MACD and Signal Line Cross. This is calculated by checking if the value change of one bar is added to the current MACD value would lead to a cross on the next bar, the it is a potential up dot.
- Purple Dot. Potential cross down (red dot) on next bar. Displayed when if the same distance a MACD moves on a bar is applied to the next bar will cause a MACD and Signal Line Cross. This is calculated by checking if the value change of one bar is added to the current MACD value would lead to a cross on the next bar, the it is a potential down dot.
Best Fit Settings
- Can be applied to the MACD, Signal Line, and Histogram to re-scale (stretch) to fit them within the space of the +2 and -2 range that each timeframe is provided on this indicator.
- The lookback distance value is used to lookback a certain distance to ensure everything scaled to fit well.
Labels are displayed on the right of the indicators, including:
- a label identifying 'line indicator' is currently being displayed
- the Timeframe corresponding to each MACD or PPO indicator
- the MACD or PPO of each Timeframe
Cari dalam skrip untuk "supertrend"
Intraday JXMODI CrossCombination of two strategy.
MA Cross strategy + RSI strategy to decide whether the stock/crypto is currently overbought/oversold.
RSI alert when change from bull to bear, and vice verse.
Useful for quick entry and exit trade.
Whenever RSI Black color line Cross Red color MA line , Trend Changes.
For Bull side Trade on High of that candle & Stoploss Low of that candle in which Cross Occurs.(Green Shadow)
For Bear side Trade on Low of that candle & Stoploss High of that candle in which Cross occurs.(Red Shadow)
For more confirmation use SuperTrend etc indicators.
Compound IndicatorThis is an indicator finds end points of short term market trends. this is a combination of many indicators such as
1. Volume change oscillator
2. Money flow index (MFI)
3. Momentum Oscillator (MOM)
4. Stochastic Indicator
6. Relative Strength Indicator (RSI)
7. Relative volatility index (RVI)
8. Balance of power (BOP)
9. Small moving average (SMA)
10. Exponential moving average (EMA)
11. Parabolic SAR
12. Super trend indicator
this script forms a compound indicator after analysing movements of those indicators through different time frames and measure its co-relation and variance with the price action. buy doing that, indicator in a position to identify short term market reversals and presented.
NazhoThis is a simple scalping strategy that works for all time frames... I have only tested it on FOREX
It works by checking if the price is currently in an uptrend and if it crosses the 20 EMA .
If it crosses the 20 EMA and its in and uptrend it will post a BUY SIGNAL.
If it crosses the 20 EMA and its in and down it will post a SELL SIGNAL.
The red line is the highest close of the previous 8 bars --- This is resistance
The green line is the lowest close of the previous 8 bars -- This is support
+SuperTrend
Trailing Stoploss Bottom ActivationThe Basics
The indicator is visible on the chart as circles above and below the bar.
It will trigger an alert when the current price goes below, the low of the previous candle.
Or an alert when current price goes above, the high of the previous candle.
The indicator can be used as a trailing stoploss for (DCA/ TV) bots.
The distance between the circles and candlesticks can be adjusted. If the user prefers to set an alert e.g. a few ticks lower than the candle bottom.
What Makes It Different
The user can preset the price (of the asset e.g. BTC), where it will start looking for the condition: current price is below previous candle low (when in long position). Current price is above previous candle high (when short).
Example
In the chart above MATIC/BUSD the user has drawn a blue line at 1.70. Since there is where he expects resistance.
The user has a long position (bought at the green arrow.) The user wants to start trailing at price 1.70.
The alert will only trigger when the following conditions are met:
Condition 1 - Crossed 1.70
Condition 2 - Current candle price is below previous candle low.
In the chart above price crossed above 1.70 on 26th Oct. Current candle price (at that moment) went below previous candle low on 27th Oct, indicated with a red arrow. Here the alert will go off at 1.659 BUSD (indicated in pink).
It ignores the other two lows, indicated with orange arrows. Because condition 1 is not met.
It is possible to use multiple time frames at the same time. Some time frames might not be available depending on your Tradingview subscription.
Final Words
Disclaimer: Please use it with care and at own risk. The owner of this indicator is not liable for any financial losses.
Past performance is no guarantee of future returns.
GREEN MILE & RED SKY by OnurThis indicator is the upgrated version of "GREEN MILE by Onur". Indicator shows fibonacci buying + selling levels due to the past 3500 (adjustable and 1500 by default) candles. Prices in the dark green area is a strong buying signal. Prices in the dark red areas is strong selling signal
Decreasing period value makes indicator effective from long term to short term.
Works harmoniously with MACD & RSI indicators.
Buy and Sell with Master_in_chart-ind. [V1]This script indicates the Buy and Sell positions on your chart. In addition, it shows entry price , stop loss and possible targets on the chart. The same information are shown in a table where you can find the position type (long/short) in green and red color, entry point, stop-loss (always in red) and targets.
The targets are defined by Risk to Reward ratios 1:1, 1:1.5 and 1:2.
the labels appears when the all conditions are satisfied.
Interesting part of the script is the alert function. Here one can set the script for different
securities and activate alert in TV.
In summary, one can change and tune the setting of the indicator easily by clicking on the gear icon. In the setting, there are four sections. First section sets the slop-loss. Second section activates and shows the super trend indicator. Third section is designed to tune the signals. Finally, you can apply the script on five different symbols at different time-frames. Here you can set alarm to alert you the signals.
I hope you enjoy it!
MTF DPO-RSI IndicatorThis indicator uses the principle of taking the RSI of DPO readings across multiple time frames in order to provide trade signals and an overarching view of market conditions to the trader. My hope with creating this indicator was to present more divergence based signals than your typical indicator, while still keeping those signals at a high quality.
In the settings menu, you may specify:
Indicator Timeframe - the chart resolution that is used to calculate values.
Source DPO Length - the number of bars used to calculate the Detrended Price Oscillator value. The DPO value is the source for the RSI calculations.
DPO Hull Smoothing - how much smoothing is applied to the DPO . Smoothing is accomplished by taking a Hull Moving Average of the closing price, and using this to calculate the DPO value.
RSI Length - the number of bars used to calculate the RSI of the DPO value.
Time Multipliers 1 through 6 - use this to define what resolution each plot will represent. A value of 1 will represent the current Indicator Timeframe. A value of 3 will represent 3 times the current Indicator Timeframe, etc.
Show Plot 1 through 6 - toggles the display of plots.
How I trade with this indicator:
A value of under 30 represents an over sold state for that particular plot. A value of over 70 represents an overbought state for that plot.
Identify divergences on a lower timeframe plot which are apparent in overbought or oversold conditions, and confirm the signal with an overbought or oversold condition, or a divergence on a higher timeframe plot. Divergences which begin in oversold or overbought territory and end inside the 30-70 range tend to be more reliable signals, in my experience. Like all indicators, this is best when used in conjunction with other indicators. Trend indicators, such as double EMA's and Supertrend are my favorite pairing, and a stochastic RSI is a good tool to have as well.
This is my first published indicator! If you find unique ways to use it, drop me a message. I'd love to know what you find. :)
Divergence-Support/ResistenceAnother script based on zigzag, divergence, and to yield support and resistence levels.
This idea started with below two concepts:
▶ Support and resistence are simply levels where price has rejected to go further down or up. Usually, we can derive this based on pivots. But, if we start looking at every pivot, there will be many of them and may be confusing to understand which one to consider.
▶ Lot of people asked about one of my previous script on divergence detector on how to use it. I believe divergence should be considered as area of support and resistence because, they only amount to temporary weakness in momentum and nothing more. As per my understanding
Trend > Hidden Divergence > Divergence > Oscillator Levels of Overbought and Oversold
⬜ Process
▶ Now combining the above two concepts - what we are trying to do here is draw support resistence lines only on pivots which has observed either divergence or hidden divergence. Continuation and indecision pivots are ignored.
▶ Input requires only few parameters.
Zigzag lengths and oscillator to be used. Oscillator periods are automatically calculated based on zigzag length. Hence no other information required. You can also chose custom oscillator via external source.
▶ Display include horizontal lines of support/resistence which are drawn from the candle from where divergence or hidden divergence is detected.
▶ Support resistence lines are colored based on divergence. Green shades for bullish divergence and bullish hidden divergence whereas red shades for bearish divervence and bearish hidden divergence. Please note, red and green lines does not mean they only provide resistence or support. Any lines which are below the price should be treated as support and any line which are above the price should be treated as resistence.
▶ Divergence symbols are also printed on the bar from where divergence/hidden divergence is detected.
↗ - Bullish Hidden Divergence
↘ - Bearish Hidden Divergence
⤴ - Bullish Divergence
⤵ - Bearish Divergence
▶ Script also demonstrates usage of libraries effectively. I have used following libraries in this code.
import HeWhoMustNotBeNamed/ zigzag /2 as zg
import HeWhoMustNotBeNamed/enhanced_ta/8 as eta
import HeWhoMustNotBeNamed/ supertrend /4 as st
Can be good combination to use it with harmonic patterns.
True BarcolorHeikin Ashi can be useful for understanding trend based on price action but it doesn't take volume in context. Here I have tried to use volume for understanding true bar color and ultimately true trend analysis. It can also help you in not getting trapped in sudden shakeouts. Also, you can use it for averaging of your existing position.
Conditions used:
Relative closing price
Relative volume against previous bar and overall moving average of volume
Volume analysis
Trend analysis
CHAMELEON TRAILA filter combining the built in supertrend function and two SMA's in order to act as a filter for trade ideas put forward by CHAMELEON which can be placed in a separate panel.
This is not accurate enough to use on its own as a signal, but helps filter out more complex ideas. To be most effective it is recommended to set the LENGTH correctly.
Includes ALERT CONDITION's for when the TRAIL is UP, DOWN or MIXED.
Multi-ZigZag Multi-Oscillator Trend DetectorThis table is intended to give you snapshot of how price and oscillators are moving along with zigzag pivots.
This is done in the same lines of Zigzag-Trend-Divergence-Detector
But, here are the differences
Table shows multiple oscillator movements at a same time instead of one selected oscillator
Divergence is not calculated and also supertrend based trend. Trend can be calculated based on zigzag movements. However, lets keep this for future enhancements.
This system also uses multiple zigzags instead of just one.
⬜ Process
▶ Derive multiple zigzags - Code is taken from Multi-ZigZag
▶ Along with zigzags - also calculate different oscillators and attach it to zigzag pivot.
▶ Calculate directions of zigzag pivots and corresponding oscillators.
▶ Plot everything in the table on last bar.
⬜ Table components
Table contains following data:
Directional legends are:
⇈ - Higher High (Green)
⇊ - Lower Low (Red)
⭡- Lower High (Orange)
⭣ - Higher Low (Lime)
⬜ Input Parameters
▶ Source : Default is close. If Unchecked - uses high/low data for calculating pivots. Can also use external input such as OBV
▶ Stats : Gives option to select the depth of output (History) and also lets you chose text size and table position.
▶ Oscillators : Oscillator length is derived by multiplying multiplier to zigzag length. For example, for zigzag 5, with 4 as multiplier, all oscillators are calculated with length 20. But, same for zigzag 8 will be 32 and so on.
▶ Available oscillators :
CCI - Commodity Channel Index
CMO - Chande Momentum Oscillator
COG - Center Of Gravity
MFI - Money Flow Index (Shows only if volume is present)
MOM - Momentum oscillator
ROC - Rate Of Change
RSI - Relative Strength Index
TSI - Total Strength Index
WPR - William Percent R
BB - Bollinger Percent B
KC - Keltner Channel Percent K
DC - Donchian Channel Percent D
ADC - Adoptive Donchian Channel Percent D ( Adoptive-Donchian-Channel )
⬜ Challenges
There are 12 oscillators and each zigzag has different length. Which means, there are 48 combinations of the ocillators.
First challenge was generating these values without creating lots of static initialization. Also, note, if the functions are not called on each bar, then they will not yield correct result. This is achieved through initializer function which runs on every bar and stores the oscillator values in an array which emulates multi dimensional array oscillator X zigzag length.
Next challenge was getting these values within function when we need it. While doing so I realized that values stored in array also have historical series and calling array.get will actully get you the entire series and not just the value. This is an important takeaway for me and this can be used for further complex implementations.
Thanks to @LonesomeTheBlue and @LucF for some timely suggestions and interesting technical discussions :)
Holy Pro ScalperWhat is Holy Pro Scalper
This is an advanced Indicator comprising of 21 Fuzzy and Quantitative logics running at once, which takes care of a lot of things for a trader, such as:
1> The current Dominant Trend
2> A Good Entry Point
3> A Way to Recover
4> A point to Stop
5> A Method to Book and Trail Profits
The Logics Includes Likes of :
> DonchainChannels, Supertrend, Bollinger Bands, ATR, Volume, RSI, Stoch etc....
The main Aim of this Indicator is to help traders trade with Rules, and make money if they follow it correctly.
Because One of the most important learnings which I have learnt in my professional trading career is creating a solid trading rule, which takes care of you even if the market is against you!
Another Problem the indicator tries to Solve Is What Securities to Trade for Tomorrow, Traders can plan before day trading and make the strategy towards the instrument in an effective way by just following a few rules, which are Easy to learn!
So Getting into how to Use this Indicator, (U can read the text and see the Video, shared below )
The indicator Comprises of 3 Basic UI Parts
1> Trading Signal
2> Recovery Signal
3> Dominant Trend
Trading Signal
This is represented by a triangle (both buy and sell) in (blue and Orange Colors)
There are two types of trading signals
a> Normal Trading Signal
b> Requiring Confirmation Trading Signal (“c” on top/ below of the Candle where signal Came)
The way to trade them is, one can straight away trade a normal Trading Signal, on the High of the Candle,
A “Requiring Confirmation Trading Signal” must be traded on the high of the Closing candle above the respective Signal candle, that is a trader must wait for the confirmation candle closing above the high of the Requiring Confirmation Trading Signal Candle.
Recovery Signal
A Recovery signal is a sign of recovery the system presents to a trader, when he/she have taken position/ trade as per the trading signal,
A recovery Signal helps to identify the time when its good to look for a recovery at breakeven cost or profit, if the recovery is broken,
There are two types of Recovery in the System,
1> Green Recovery
Which should be considered as a recovery when a Short Trade is active, it shows the intent of the market to change direction, so a trader while in short trade if he sees a green recovery anytime after his order is filled, he may plan to recover, if the recovery candle is broken, so he can wait to recover at breakeven cost or plan for a stop or book profit if market permits
2> Red Recovery
Which should be considered as a recovery when a Long Trade is active, it shows the intent of the market to change direction, so a trader while in long trade if he sees a red recovery anytime after his order is filled, he may plan to recover, if the recovery candle is broken, so he can wait to recover at breakeven cost or plan for a stop or book profit if market permits
Stopping Point and Dominant Trend
So Dominant Trend of the market is represented by a trend Following Line and Area
So if Area on Trend Following Line is Red, market’s dominant trend is Bear
And if Area on Trend Following Line is Green, market’s dominant trend is Bull
If a trader is in Trade the dominant trend line is considered as a stopping point, if market closes below it, in Long position, one can straight away take a Stop and May reverse trade according to thought process
Provision For Alerts
All Trading Signals
Bull Trading Signals
Bear Trading Signals
Green Recovery Signals
Red Recovery Signals
Video Examples
What Instruments and Time Frames It Works
Works on Every Liquid Instrument and Standard Timeframe (1m to 1month)
How Can u Get Access
Only do Private Message to me, use Comment Box for Constructive Comments
What If you Want To learn the Trading Setups of Profitability
Only do Private Message to me, use Comment Box for Constructive Comments
Keltner Center Of Gravity Channel ( KeltCOG )I have the ambition to create a ‘landscape’ which enables the user to see the ‘mood’ of the market about the price of an instrument, simply by looking where the candles go. Prices are a simple phenomenon , they go up or down or stay the same. This is represented quite well for the short term by a candle. I recommend to study candle patterns. Prices not only fluctuate but also trend up, down or go sideways. The user should analyze this by determining the COG (Center Of Gravity) and the ‘normal’ current range by using the historical data in a lookback period.
As a COG the center line of a Donchian Channel is often used. I.m.o. a COG should be a zone, in this channel I use the gray zone of my Donchian Fibonacci Channel, The ‘normal’ range is a multiple of Average True Range, as used in a Keltner Channel. Combining the two can give a cumbersome result, as one can see in my Keltner Fibonacci Channel. In this KeltCOG channel I solved this by not using all Fibonacci levels and by making the Keltner lines strictly parallel to the nearest COG line. To do this, I use the fact that the COG lines have horizontal stretches, there I make the Keltner lines horizontal too. Only where the COG lines change value, the Keltner lines are recalculated. This way the channel gets a very regular shape with three clear zones.
Interpretation of a chart by using the KeltCOG channel.
Overbought: If the candles go higher then the blue zone, the market is hyper enthusiast, creating an overbought situation. This is often followed by a reversion to the COG.
Uptrend: If the candles form in the blue zone, the market is enthusiast and willing to pay more.
Hopeful: If the candles form in or near the upper uncolored zone, the market is hopeful and is thinking about paying more. Sometimes prices go a little up.
Content: If the candles form in the gray zone, which represents COG, the market is happy with the current prices, so these move sideways
Disappointed: If the candles form in or near the lower uncolored zone, the market is disappointed and contemplates paying less, sometimes prices go a little down.
Downtrend: If the candles form in red zone, the market doesn’t like the instrument at all, rejects the current price and is only prepared to pay less.
Oversold: If the candles form below the red zone, the market overdoes its disgust, creating an oversold situation, often followed by a reversion to the COG.
CCI 5 LEVELS BY MOADThe Commodity Channel Index ( CCI ) is a momentum oscillator used in technical analysis primarily to identify overbought and oversold levels by measuring an instrument's variations away from its statistical mean. Besides overbought/oversold levels, CCI is often used to find reversals as well as divergences. Originally, the indicator was designed to be used for identifying trends in commodities , however it is now used in a wide range of financial instruments.
There are several steps involved in calculating the CCI . The following example is for a typical 14 Period CCI:
CCI = (Typical Price - 14 Period SMA of TP) / (.015 x Mean Deviation)
Typical Price (TP) = (High + Low + Close)/3
Constant = .015
The Constant is set at .015 for scaling purposes. By including the constant, the majority of CCI values will fall within the 100 to -100 range.
Mean Deviation:
1) Subtract the most recent 14 Period Simple Moving from each typical price (TP) for the Period.
2) Sum these numbers strictly using absolute values.
3) Divide the value generated in step 2 by the total number of Periods (14 in this case).
Overbought and Oversold conditions can be used in their more traditional sense to identify future reversals. Remember true overbought/oversold thresholds values can and often do vary between instruments.
During a Bullish Trend, price crossing above the overbought threshold may indicate strong confidence in the move and price will continue to rise.
During a Bearish Trend, price crossing below the oversold threshold may indicate strong confidence in the move and price will continue to fall.
The first option is a modified CCI indicator that uses the "Arnaud Legoux Moving Average" instead of the SMA , and the source uses the VWAP instead of the HLC3. Added to this version an option to calculate CCI with different types of moving averages:
Green dots mean they are overbought
Orange dots mean they are oversold
Added a "SuperTrend Background" based on the modified CCI indicator:
Bull event = CCI crossing over the 0 line
Bear event = CCI crossing below the 0 line
Added a signal as EMA (modified CCI , signal length)
The second option is a standard CCI indicator that shows a coloured histogram of important levels, giving a good visual of the CCI levels. Added to this version is an extra coloured level +/-200 and an option to use Traditional CCI calculations according to user @JustUncleL
LEVELS:
Aqua: Greater than 200.
Lavender: Greater than 100 and less than 200.
Dark Lavender: Greater than 0 and less than 100.
Dark Coral: Less than 0 and greater than -100.
Coral: Less than -100 and greater than -200.
Light Red: Less than -200.
Zigzag Candles MAWe have the candles here: Zigzag-Candles
Lets create moving average!!
Just simple moving average at the moment. Since, items are in array. Not so easy to use standard functions of pine. Hence, will take that for future enhancements.
ATR and Supertrend next!!
Zigzag CandlesCan't deny that I am obsessed with zigzags. Been doing some crazy experiments with it and have many more in pipeline. I believe zigzag can be used to derive better trend following methods. Here is an attempt to visualize zigzag as candlesticks. Next steps probably to derive moving average, atr (although there was an attempt of AZR made earlier) and probably supertrend too ;)
Input parameters include ZigzagLength (to calculate zigzag) and CandleSize (number of zigzag pivots in each candle)
CandleSize can be 3 or more. Every time we collect pivots which are equal to CandleSize, we derive one candle. And when we derive a candle, we remove all old pivots except the last one. Becauase, the last pivot acts as open to the next bar and is required.
Body of the candle tells the start and end zigzag pivot in the range. And Wicks signify highest and lowest pivots in the range. High and Low wicks are placed at the pivot where high and lows are formed. Hence, you can see them at different positions each time.
Thanks to @RicardoSantos for suggesting boxes for candles - while I was trying to achieve this with plotbar
Super_Macd_Alerts_EMA_publicQuickly find market caps, risk management and predict the timing of contrarian tensions.
By automatically receiving trend changes, we support trend follow, push and return strategies simply and quickly.
Make the most of this all-in-one system and take your trading style one step further.
・ Main functions
MACD slope change signal (UP / DN)
MACD hidden divergence signal (HL / HS)
Histogram divergence signal (vertical background: blue / pink)
You need to use signals without going against the trend.
·idea
Recommended for use with Elliott Wave, SUPER TREND
・ Chart example
WTI Crude Oil Futures | HS Signal Before Crash
GOLD CFD 1D
2021/7/1
UP signal before returning to the UP trend
2021/8/5
HS signal before the crash
BTCUSD 4H
2021/08/10
Signals to use: UP / HL on uptrend, Histogram divergence (pink)
DCA_PREMIUMOur new indicator tracks trends to create buy and sell alerts, see below how it works.
HOW IT WORKS:
It uses RMA which is the same moving average used by RSI and HMA, they intersect give us an entry signal, be it a buy or sell, as the entry signal the script will color the bars according to the signal.
When a GREEN candle appears, it indicates a large purchase volume and when a PURPLE candle appears, it indicates a large sales volume.
The indicator will alert for entries only according to the trend of the traded asset
FOR EXAMPLE:
I am trading USDJPY in an uptrend, the indicator will only alert me for buy entries, if it applies to downtrend.
DASHBOARD:
Our dashboard indicates the volatility of the traded asset, the short-term trend and the trade signal.
HOW TO USE:
Choose the asset you want to trade and, in the settings, change the time period you want for your trading style, for example: Swing Trade, Day Trade or Position.
See regions with large trading volumes indicating price manipulation or just supports and resistances too strong to break.
Trend ExplorerAre we in a bull or a bear market?
From the technical analysis point of view, the answer is "It depends". It depends from the parameters of your indicator, the timeframe of the pair you are looking and the volatility of that specific market you are looking to.
After I experimented with various trending indicators I decided to develop a framework that potentially could "embed" already existing logic from well known indicators (e.g. Supertrend OTT etc.).
The most important part is that I managed to abstract that logic away and experiment even further to produce some more robust, market and timeframe resolution agnostic results. While at the same time I was able to switch between market and timeframe resolution specific configuration to take some decision.
Finally, I decided to share this code with you folks! Developed this indicator "Trend Explorer" in an effort to make the aforementioned abstraction of all those trending indicators.
The goal is to enable the user to explore and combine different approaches in order to create a more robust and market general/specific, timeframe resolution invariant/fluctuating and volatility auto/manual adjusted indicator according to his needs.
The logic behind the abstraction is fairly simple. The trending indicator consists of two boundary lines the "bull trend low boundary" (green) and the "bear trend high boundary" (red). The indicator also has a control line (orange). Every time the control line crosses a boundary there is a trend reversal! The boundary lines are defined by the thresholds. To be more precise, boundaries are pulled upwards by thresholds (blue) during a bull market and downwards during a bear market. I challenge the user to experiment with the different ways of calculating the thresholds and the control. I am open to suggestions that might improve and extend the possibilities of this indicator. Any feedback, comments, general thoughts or bug reports are welcome.
Why did I chose those defaults?
For threshold calculation I chose MINMAX which calculates the local minimum and maximum using a sliding window. As far as I know it is not used in any existing trending indicator, but it seems reasonable for a trader to search for local min and max to make a decision. The width of the sliding window a.k.a the "period to remember" the local min and max is 30 days by default, just because I believe that for regular people it is a reasonable period of time to forget too.
Also, compared to the SUBADD method MINMAX does not seem to lag behind, especially when using averages in the SUBADD mode. Moreover, I consider MINMAX to be more general than the margins used by the SUBADD since margins should be configured based on the underlying market volatility.
For a source of min and max I chose the low and high values just because they are timeframe resolution invariant, meaning that they have the same (not exactly due to number precision and rounding, but very close) results for a single pair whether you use "4 hour" or "1 day" time interval! Another popular choice might be (close, close) since many traders wait for the daily candle to close in order to discard outliers. However, this approach is not resolution invariant and it depends from the time interval the user has selected.
Do you have any interesting trending indicator you would like to see how it performs in this framework logic? Let me know!
Do you have in mind any variation of Control or Thresholds calculation you would like to test? Please describe it in the comments below so I can add it in my implementation for you!
Did you find any other bug or you experienced any strange behavior? PM me with a description of the bug, the trading pair the timeframe resolution the exact time (candle) and all the necessary configurations for this indicator so I can reproduce it on my machine!
Please enjoy with caution,
Jason
Portfolio Backtester Engine█ OVERVIEW
Portfolio Backtester Engine (PBTE). This tool will allow you to backtest strategies across multiple securities at once. Allowing you to easier understand if your strategy is robust. If you are familiar with the PineCoders backtesting engine , then you will find this indicator pleasant to work with as it is an adaptation based on that work. Much of the functionality has been kept the same, or enhanced, with some minor adjustments I made on the account of creating a more subjectively intuitive tool.
█ HISTORY
The original purpose of the backtesting engine (`BTE`) was to bridge the gap between strategies and studies . Previously, strategies did not contain the ability to send alerts, but were necessary for backtesting. Studies on the other hand were necessary for sending alerts, but could not provide backtesting results . Often, traders would have to manage two separate Pine scripts to take advantage of each feature, this was less than ideal.
The `BTE` published by PineCoders offered a solution to this issue by generating backtesting results under the context of a study(). This allowed traders to backtest their strategy and simultaneously generate alerts for automated trading, thus eliminating the need for a separate strategy() script (though, even converting the engine to a strategy was made simple by the PineCoders!).
Fast forward a couple years and PineScript evolved beyond these issues and alerts were introduced into strategies. The BTE was not quite as necessary anymore, but is still extremely useful as it contains extra features and data not found under the strategy() context. Below is an excerpt of features contained by the BTE:
"""
More than `40` built-in strategies,
Customizable components,
Coupling with your own external indicator,
Simple conversion from Study to Strategy modes,
Post-Exit analysis to search for alternate trade outcomes,
Use of the Data Window to show detailed bar by bar trade information and global statistics, including some not provided by TV backtesting,
Plotting of reminders and generation of alerts on in-trade events.
"""
Before I go any further, I want to be clear that the BTE is STILL a good tool and it is STILL very useful. The Portfolio Backtesting Engine I am introducing is only a tangental advancement and not to be confused as a replacement, this tool would not have been possible without the `BTE`.
█ THE PROBLEM
Most strategies built in Pine are limited by one thing. Data. Backtesting should be a rigorous process and researchers should examine the performance of their strategy across all market regimes; that includes, bullish and bearish markets, ranging markets, low volatility and high volatility. Depending on your TV subscription The Pine Engine is limited to 5k-20k historical bars available for backtesting, which can often leave the strategy results wanting. As a general rule of thumb, strategies should be tested across a quantity of historical bars which will allow for at least 100 trades. In many cases, the lack of historical bars available for backtesting and frequency of the strategy signals produces less than 100 trades, rendering your strategy results inconclusive.
█ THE SOLUTION
In order to be confident that we have a robust strategy we must test it across all market regimes and we must have over 100 trades. To do this effectively, researchers can use the Portfolio Backtesting Engine (PBTE).
By testing a strategy across a carefully selected portfolio of securities, researchers can now gather 5k-20k historical bars per security! Currently, the PTBE allows up to 5 securities, which amounts to 25k-100k historical bars.
█ HOW TO USE
1 — Add the indicator to your chart.
• Confirm inputs. These will be the most important initial values which you can change later by clicking the gear icon ⚙ and opening up the settings of the indicator.
2 — Select a portfolio.
• You will want to spend some time carefully selecting a portfolio of securities.
• Each security should be uncorrelated.
• The entire portfolio should contain a mix of different market regimes.
You should understand that strategies generally take advantage of one particular type of market regime. (trending, ranging, low/high volatility)
For example, the default RSI strategy is typically advantageous during ranging markets, whereas a typical moving average crossover strategy is advantageous in trending markets.
If you were to use the standard RSI strategy during a trending market, you might be selling when you should be buying.
Similarily, if you use an SMA crossover during a ranging market, you will find that the MA's may produce many false signals.
Even if you build a strategy that is designed to be used only in a trending market, it is still best to select a portfolio of all market regimes
as you will be able to test how your strategy will perform when the market does something unexpected.
3 — Test a built-in strategy or add your own.
• Navigate to gear icon ⚙ (settings) of strategy.
• Choose your options.
• Select a Main Entry Strat and Alternate Entry Strat .
• If you want to add your own strategy, you will need to modify the source code and follow the built-in example.
• You will only need to generate (buy 1 / sell -1/ neutral 0) signals.
• Select a Filter , by default these are all off.
• Select an Entry Stop - This will be your stop loss placed at the trade entry.
• Select Pyamiding - This will allow you to stack positions. By default this is off.
• Select Hard Exits - You can also think of these as Take Profits.
• Let the strategy run and take note of the display tables results.
• Portfolio - Shows each security.
• The strategy runs on each asset in your portfolio.
• The initial capital is equally distributed across each security.
So if you have 5 securities and a starting capital of 100,000$ then each security will run the strategy starting with 20,000$
The total row will aggregate the results on a bar by bar basis showing the total results of your initial capital.
• Net Profit (NP) - Shows profitability.
• Number of Trades (#T) - Shows # of trades taken during backtesting period.
• Typically will want to see this number greater than 100 on the "Total" row.
• Average Trade Length (ATL) - Shows average # of days in a trade.
• Maximum Drawdown (MD ) - Max peak-to-valley equity drawdown during backtesting period.
• This number defines the minimum amount of capital required to trade the system.
• Typically, this shouldn’t be lower than 34% and we will want to allow for at least 50% beyond this number.
• Maximum Loss (ML) - Shows largest loss experienced on a per-trade basis.
• Normally, don’t want to exceed more than 1-2 % of equity.
• Maximum Drawdown Duration (MDD) - The longest duration of a drawdown in equity prior to a new equity peak.
• This number is important to help us psychologically understand how long we can expect to wait for a new peak in account equity.
• Maximum Consecutive Losses (MCL) - The max consecutive losses endured throughout the backtesting period.
• Another important metric for trader psychology, this will help you understand how many losses you should be prepared to handle.
• Profit to Maximum Drawdown (P:MD) - A ratio for the average profit to the maximum drawdown.
• The higher the ratio is, the better. Large profits and small losses contribute to a good PMD.
• This metric allows us to examine the profit with respect to risk.
• Profit Loss Ratio (P:L) - Average profit over the average loss.
• Typically this number should be higher in trend following systems.
• Mean reversion systems show lower values, but compensate with a better win %.
• Percent Winners (% W) - The percentage of winning trades.
• Trend systems will usually have lower win percentages, since statistically the market is only trending roughly 30% of the time.
• Mean reversion systems typically should have a high % W.
• Time Percentage (Time %) - The amount of time that the system has an open position.
• The more time you are in the market, the more you are exposed to market risk, not to mention you could be using that money for something else right?
• Return on Investment (ROI) - Your Net Profit over your initial investment, represented as a percentage.
• You want this number to be positive and high.
• Open Profit (OP) - If the strategy has any open positions, the floating value will be represented here.
• Trading Days (TD) - An important metric showing how many days the strategy was active.
• This is good to know and will be valuable in understanding how long you will need to run this strategy in order to achieve results.
█ FEATURES
These are additional features that extend the original `BTE` features.
- Portfolio backtesting.
- Color coded performance results.
- Circuit Breakers that will stop trading.
- Position reversals on exit. (Simulating the function of always in the market. Similar to strategy.entry functionality)
- Whipsaw Filter
- Moving Average Filter
- Minimum Change Filter
- % Gain Equity Exit
- Popular strategies, (MACD, MA cross, supertrend)
Below are features that were excluded from the original `BTE`
- 2 stage in-trade stops with kick-in rules (This was a subjective decision to remove. I found it to be complex and thwarted my use of the `BTE` for some time.)
- Simple conversion from Study to Strategy modes. (Not possible with multiple securities)
- Coupling with your own external indicator (Not really practical to use with multiple securities, but could be used if signals were generated based on some indicator which was not based on the current chart)
- Use of the Data Window to show detailed bar by bar trade information and global statistics.
- Post Exit Analysis.
- Plotting of reminders and generation of alerts on in-trade events.
- Alerts (These may be added in the future by request when I find the time.)
█ THANKS
The whole PineCoders team for all their shared knowledge and original publication of the BTE and Richard Weismann for his ideas on building robust strategies.
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Hopper Trigger - Free Cryptohopper WidgetWelcome to our Tradingview cryptohopper trigger widget.
We designed this script to give Cryptohopper users the possibility to set up an alarm when btc is trending down. Cause of the BTCs behavior as the supertrend coin for the market it is better to turn your hopper off or be extremly careful when BTC is trending down. We implemented to types of alarms, because atm its not possible to automate using them to deactivate your hopper. On Alarm setup could be used to send signals every minute to trigger a push notification on your App or to trigger your Alexa. The other type of alarm only sends one single signal for normal purposes.
We recommend using this indicator in the 30 minute or 1 hour timeframe and to deactivate your hopper and deleting all positions when a alarm is signaling. The risk of a larger drop is very high in this marketphase. Never take an drop again using this approach. Little drawdown in bearish or ranging times but high reward in bullish times.
Smartgrow-Trading is a community project with the aim of developing the best and most successful trading strategies and sharing them with the community.
The basic idea of this script is to calculate how far an coin is away from its ATH , to gave warning signals for deactivating coins after they reached there ATH . So it could also be used for other coins and pairs.
If there are questions, write them into the comments or contact us directly over the direct message or social media. Happy Trading!
All Time High Warning - Free Cryptohopper WidgetWelcome to our Tradingview coin prediction filter.
We designed this script to give Cryptohopper users the possibility to set up an alarm when btc is close to All Time High. Cause of the BTCs behavior as the supertrend coin for the market it is better to turn your hopper off or be extremly careful when BTC is close to ATH.
We recommend deactivating the hopper and deleting all positions. The risk of a larger drop is very high in this marketphase.
Smartgrow-Trading is a community project with the aim of developing the best and most successful trading strategies and sharing them with the community.
The basic idea of this script is to calculate how far an coin is away from its ATH, to gave warning signals for deactivating coins after they reached there ATH. So it could also be used for other coins and pairs.
If there are questions, write them into the comments or contact us directly over the direct message or social media. Happy Trading!
