3 RSI 6sma/ema ribbon crypto strategyThis is a very efficient swing trading strategy designed for crypto long timeframes like 2h+.
Initially we have 3 RSI .
AFter that we use them as source for 6 SMA/EMA for each RSI, 5, 30, 50, 70, 90, 100. With those we create a ribbon that we are going to use in order to check the direction of the trend.
Rules for entry:
For long : if either all the SMA/EMA's from the 2nd RSI are telling us to go long, or all the all SMA/EMA's from the 3rd rsi are telling us to go long F
For short : if either all the SMA/EMA's from the 2nd RSI are telling us to go short, or all the all SMA/EMA's from the 3rd rsi are telling us to go short
We exit when we get an opposite condition than the entry one.
Caution: this strategy has no risk management inside, so use it with caution. If you have any questions , let me know !
"entry" için komut dosyalarını ara
Linear Regression & RSI Multi-Function Screener with Table-LabelHi fellow traders..
Happy to share a Linear Regression & RSI Multi-Function Custom Screener with Table-Labels...
The Screener scans for Linear Regression 2-SD Breakouts and RSI OB/OS levels for the coded tickers and gives Summary alerts
Uses Tables (dynamica resizing) for the scanner output instead of standard labels!
This Screener cum indicator collection has two distinct objectives..
1. Attempt re-entry into trending trades.
2. Attempt Counter trend trades using linear regression , RSI and Zigzag.
Briefly about the Screener functions..
a. It uses TABLES as Labels a FIRST for any Screener on TV.
b. Tables dynamically resize based on criteria..
c. Alerts for breakouts of the UPPER and the LOWER regression channels.(2 SD)
d. In addition to LinReg it also Screens RSI for OB/OS levels so a multifunction Screener.
e. Of course has the standard summary Alerts and programmable format for Custom functions.
f. Uses only the inbuilt Auto Fib and Lin Reg code for the screener.(No proprietary stuff)
g. The auto Zigzag code is derived(Auto fib).
Question what are all these doing in a single screener ??
ZigZag is very useful in determining Trend Up or Down from one Pivot to another.
So Once you have a firm view of the Current Trend for your chosen timeframe and ticker…
We can consider few possible trading scenarios..
a. Re-entry in an Up Trend - Combination of OS Rsi And a Lower Channel breach followed by a re-entry back into the regression channel CAN be used as an effective re-entry.
b. Similarily one can join a Down Trend on OB Rsi and Upper Channel line breach followed by re-entry into the regression channel.
If ZigZag signals a range-bound market, bound within channel lines then the Upper breakout can be used to Sell and vice-versa!
In short many possibilities for using these functions together with Scanner and Alerts.
This facilitates timely PROFITABLE Trending and Counter trend opportunities across multiple tickers.
You must give a thorough READ to the various available tutorials on ZigZag / Regression and Fib retracements before attempting counter trend trades using these tools!!
A small TIP – Markets are sideways or consolidating 70% of the time!!
Acknowledgements: - Thanks a lot DGTRD for the Auto ZigZag code and also for the eagerness to help wherever possible..Respect!!
Disclaimer: The Alerts and Screener are just few tools among many and not any kind of Buy/Sell recommendations. Unless you have sufficient trading experience please consult a Financial advisor before investing real money.
*The alerts are set for crossovers however for viewing tickers trading above or below the channel use code in line 343 and 344 after setting up the Alerts!
** RSI alerts are disabled by default to avoid clutter, but if needed one can activate code lines 441,442,444 and 445
Wish you all, Happy Profitable Trading!
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.
═════════════════════════════════════════════════════════════════════════
Simple Moving Average Trend Strategiemy own word
so I think my pine is Indicator to find some market entrys or market exits and you can also define fast which trend is possible active.
description of the indicator:
BUY/SELL Signal with Filter based on a simple Moving Average strategie.
The simple Moving Average strategie based on theory that a Trend is made after price cross the Moving Average.
To show a possible Trend simple the Candle bodys change Colors if the close Price is below or above the fast Moving Average.
above the Average =green
below the Average =red
The Indicator shows you a BUY Signal when the Candle is crossover the fast Moving Average but only when the fast Moving Average is above the slow Moving Average.
The Indicator also show you a Buy Signal when the Candle is crossover two Moving Averages.
The Indicator shows you a Sell Signal when the Candle is crossbelow the fast Moving Average but only when the fast Moving Average is below the slow Moving Average.
The Indicator also show you a Sell Signal when the Candle is crossbelow two Moving Averages.
The Filter is in use to count Bars bevor the Candle Crossover the Moving Average and to count how many Bars bevor the breakout hit Moving Average.
if you want you can use your own Filter
you can also use the Notifications to get a Signal on your Phone whenn a Buy or Sell Signal is activ.
User Manual
to use the indicator there 3 Rules to minimize fail decissions
the Signal is only true when
-Rule#1 Signal has same color like the Candle Bar Body and the slow Moving Average
-Rule#2 Signal is at the crossover the Moving Average maybe when Candle close its to late
-Rule#3 Price must be Analyzed don´t Buy at a Market Top and don´t Sell at the Market bottom
its also a good indicator to have a close view in the trend of a product
you can also find Harmonic Patterns better .
for all of my German friends:
Beschreibung
BUY/SELL Indikator mit Filter basierend auf einer einfachen Gleitenden Durschnitt Strategie.
Die einfache Gleitende Durschnitt Strategie besagt das ein Kurs in ein Trend übergeht nach dem durchbruch eines Gleitenden Durschnittes.
Um einen Trend möglichst einfach zu zeigen färben sich die Kerzen wenn sie unterhalb des schnellem gleitenden Durschnittes laufen.
Rot für einen Abwärtstrend und Grün für einen Aufwärtstrend.
Der Indikator zeigt dir ein Kaufsignal wenn der Preis den schnellen Gleitenden Durchschnitt nach oben durchbricht aber nur wenn der schnelle Durschnitt über dem langsamen verläuft um Fehler zu vermeiden.
Der Indikator zeigt dir ein Verkaufsignal wenn der Preis den schnellen Gleitenden Durchschnitt nach unten durchbricht aber nur wenn der schnelle Durschnitt unter dem langsamen verläuft um Fehler zu vermeiden.
Der Filter Zählt maximalen Betrag der Balken bevor der Preis den Durschnitt durchbricht und ausserdem zählt er wieviele maximal möglichen Balken direkt vor dem Ausbruch den Durschnitt berührt haben.
Anhand dieser Zahlen Filtert er nochmals Signale. (mal die Werte hoch stellen so Werden Gewinnraten bis 80% erzielt)
natürlich kann jeder eigene Filter verwenden.
Abschlusswort
guter Indikator um Signale auf das Handy zu bekommen oder um schnell einen Trend im Markt zu erkennen.
Benutzeranweisung
Um den Indikator im Swing bereich zu nutzen und Fehler zu vermeiden gibt es 3 Hauptregeln.
Regel#1 Signal hat die gleiche Farbe wie der Kerzen Körper und die gleiche Farbe wie der langsame Gleitende Durschnitt.
Regel#2 Signal entsteht bei dem kreuzen des Gleitenden Durschnittes, hier ist auf den Kerzenschlusskurs zu achten weil es dann in dieser Zeit Ansicht im zeitschluss zu fehlern kommt.
Regel#3 Markt Preis sollte vorher immer Analysiert werden um keine Shorts in Allzeittiefs zu kaufen oder Longs in Allzeithochs.
//viel Spaß und lasst einen Daumen da
//mit besten grüßen
//euer Petie
Bollinger Blast Buy Unholy GrailThis strategy copy the Nick Radge's trading ideas for a profitable systems. He mentions a Bollinger Band idea which is also published in his book Unholy Grails. Nick says:
he strategy that we did test and showed very promising results was an entry using a Bollinger band and an exit using the opposite Bollinger band, but we use 3 standard deviations for the entry and 1 standard deviation for the exit, just to keep the trailing stop a little bit tighter.”
Entry: Buy on the Open the day after a stock closes above the top Bollinger Band
Exit: Exit on the Open the day after a stock closes below the lower Bollinger Band
Results tested on Nasdaq market are very good and better than simply buy& hold
RSI+PA+DCA StrategyDear Tradingview community,
This RSI based trading strategy is created as a training exercise. I am not a professional trader, but a committed hobbyist. This not a finished trading strategy meant for trading, but more a combination of different trading ideas I liked to explore deeper. The aim with this exercise was to gain more knowledge and understanding about price averaging and dollar cost averaging strategies. Aside that I wanted to learn how to program a pyramiding strategy, how to plot different order entry layers and how to open positions on a specific time interval.
In this script I adapted code from a couple of strategy examples by Coinrule . Who wrote simple and powerful examples of RSI based strategies and pyramiding strategies.
Also the HOWTO scripts shared by vitvlkv were very helpful for this exercise. In the script description you can find all the sources to the code.
A PA strategy could be a helpful addition to ease the 'stress-management to buy when price drops and resolution in selling when the price is rising' (Coinrule).
The idea behind the strategy is fairly simple and is based on an RSI strategy of buying low. A position is entered when the RSI and moving average conditions are met. The position is closed when it reaches a specified take profit percentage. As soon as the first the position is openend multiple PA (price average) layers are setup based on a specified percentage of price drop. When the price crosses the layer another position with somewhat the same amount of assets is entered. This causes the average cost price (the red plot line) to decrease. If the price drops more, another similar amount of assets is bought with another price average decrease as result. When the price starts rising again the different positions are separately closed when each reaches its specified take profit. The positions can be re-openend when the price drops again. And so on. When the price rises more and crosses over the average price and reached the specified take profit on top of it, it closes all the positions at once and cancels all orders. From that moment on it waits for another price dip before it opens a new position.
Another option is to activate a DCA function that opens a position based on a fixed specified amount. It enters a position at the start of every week and only when there are already other positions openend and if the current price is below the average price of the position. Like this buying on a time interval can help lowering the average price in case the market is down.
I read in some articles that price averaging is also called dollar cost averaging as the result is somewhat the same. Although DCA is really based on buying on fixed time intervals. These strategies are both considered long term investment strategies that can be profitable in the long run and are not suitable for short term investment schemes. The downturn is that the postion size increases when the general market trend is going down and that you have to patiently wait until the market start rising again.
Another notable aspect is that the logic in this strategy works the way it does because the entries are exited based on the FIFO (first in first out) close entry rule. This means that the first exit is applied to the first entry position that is openend. In other words that when the third entry reaches its take profit level and exits, it actually exits the first entry. If you take a close look in the 'List of Trades' of your Strategy Tester panel, you can see that some 'Long1' entries are closed by an 'Exit 3' and not by an 'Exit 1'. This means that your trade partly loses, but causes a decrease in average price that is later balanced out by lower or repeated entering and closing other positions. You can change this logic to a real sequential way of closing your entries, but this changes the averaging logic considerably. In case you want to test this you need to change, in this line in the strategy call 'close_entries_rule = "FIFO"', the word FIFO to ANY.
In the settings you can specify the percentage of portfolio to use for each trade to spread the risk and for each order a trading fee of 0.075% is calculated.
2Tier Ichimoku Pyramiding [Takazudo]Ichimoku based pyramiding strategy example that was tested on 4h TF.
makes the first entry when 2Tier Kumo breakout was occurred.
makes the extra entries when higher-low (on long) or lower-high (on short) was occurred.
uses short term MACD reversal + stop entry as a confirmation of the trend.
slack trailing stop loss.
changes entry quantity by the percentage of SL.
prevents the ranged entry.
This is just an example of how to trade using Ichimoku signals.
Text Price to Chart By MercalonaThis script was developed to visualize ideas of trades sent by groups on the internet. For example (Telegram, Whatsapp, Discord).
This is a trade idea:
XAUUSD BUY
Entry: 1766.40
SL: 1757.40
TP1: 1769.40
TP2: 1772.40
TP3: 1776.40
TP4: 1780.40
TP5: 1800
So what needs to be done?
1. Open this script in the "GBPNZD" chart.
2. Click on "configuration"
3. Copy the message.
4. Paste the message in the "Prices" field
5. Click "Ok"
What is the end result?
Then, if everything goes well, all lines compatible with the price informed in the message text will be displayed.
The lines can be green if the word "buy" or "Bought" exists, otherwise it will be red
It is also possible to configure 3 dates to be displayed on the graph.
Usually the first date is set to know the point that the entry was made in the trade.
Please feedback us.
We hope this helps you!
Equal-Length EMA/SMA Crossover Momentum StrategyOverview:
This momentum and trend-following strategy captures the majority of any trending move, and works well on high timeframes.
It uses an equal-period EMA and SMA crossover to detect trend acceleration/deceleration, since an EMA places a greater weight and significance on the most recent data.
This version is optimized for longs, and designed to cut your losses quickly and let your winners run.
To reduce noise and optimize entries, we combined this with an overall trend bias for further confluence.
How it works:
Signals are determined by the crossover of an EMA and SMA of the same length, e.g. EMA-50 and SMA-50.
The overall trend bias is determined using a slower SMA golden/death cross, e.g. SMA-50 and SMA-100.
The signal is stronger when it occurs in confluence with the overall trend bias, e.g. when EMA-50 crosses over SMA-50, while above the SMA-100. This is analogous to only opening long positions in a bull market.
Signal description:
Trend Buy: EMA crosses above SMA, and overall trend bias is bullish. Buying is in confluence with the overall trend bias.
Risky Buy: EMA crosses above SMA, and overall trend bias is bearish. Buying is early, more risky, and not in confluence with the overall trend bias.
Late Buy: SMA crosses above BIAS_SLOW. This gives further confirmation of bullish trend, but signal comes later.
Sell: EMA crosses under SMA.
Strategy entry and exit conditions:
This version enters a Long when "TREND BUY" is signalled.
This version has Sell/Shorts disabled because UP ONLY.
Long entry: Strategy enters Long when EMA is above SMA, while overall trend bias is bullish.
Long exit: Close long when EMA crosses under SMA.
Dynamic RSIThe standard setting of RSI is 14 periods, with the 30 line being oversold and the 70 line being overbought.
However, it is not effective to use only that number as an entry.
In the long time frame, it shows the momentum of bullish/bearish pressure and does not reverse immediately.
In the short time frame, the reversal appear frequently and it is difficult to make a decision.
This script calculates the zone based on the recent RSI fluctuation.
You will fix your entry direction whether the center line is above or below the RSI(50).
A return to the zone is a sign of entry, which eliminates hesitation.
It may be able to be used even in parallel range or against trend.
The basic idea is based on the following script;
Divergence RSI-OBVDivergence detector on RSI of On Balance Volume. Using a modified script from XaviZ(RSI-VWAP) but instead of VWAP as a source in this script source is OBV, for divergence detector is a script from Libertus. In this version, results are filtered using STOCH oversold or overbought filter from matt_b script MFI Divergence v2.
An indicator for entry in choppy markets, signals for entry in trending market to follow the trend work well. A good way to spot if there is a weakness in a trend but gives too many false positives for spot reversal, so only good for scalping with tight stops if betting against the trend. Multiple divergences in combination with indicator hitting the overbought or oversold should give good places for entry.
GAURs Polynomial Regression ChannelsThanks to The Sweet Lord , here is the Gaur's Polynomial Regression Channel.
Its a Polynomial Regression Channel but applied a little differently. Wont go into technical details much. Overview of options is as follows-
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Channel Options
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
1. Degree of Polynomial: 1/2/3
Default = 3
Defines the degree of polynomials - 1,2,3. Note here, degree 1 will not be a straight line since its applied differently.
Try different degrees for different fits and market conditions.
2. Channel Length:
Default 30 (candles)
You can go beyond 100 or 200 candle lengths but smaller is the usual preference of Poly-Reg-channel traders. It all depends on market conditions and your style of trading. Do your research. I am usually comfortable with a range of 20-50 (in crypto markets).
3. Basis of Channel height/boundries: ATR/Manual
Default: ATR
ATR provides a dynamically adjusted entry/exit bounds of the channels. As ATR changes, the channel bounds also changes its height. It can also be fixed manually. Manual heights wont change automatically.
4. Basis of Y-Value: open/close/ sma / ema / wma /hilow
Default: close
Y- value is the y value of the (x,y) coordinates used while calculating the regression coefficients. Dont worry about it, its nothing serious.
5. Apply channel smoothning using sma?: Yes/No
Default: Yes
Without smoothning, the channel does not "look" good.
6. Shaded Area Height Percentage:
Its the extra margin for the channel. Its in percentage of the total height (defined 3 above) of channels. The shaded area provides an extra allowance for your entries or exits beyond the ATR or manual heights.
7. Plot RSI?: Yes/No
Default: Yes
Plots RSI (orange line in between the channel - its different from the dotted center line) considering the downbound of channels as 0 (oversold) and upbound of channels as 100 (overbought)
8. Plot 200 sma?: Yes/No
Default: Yes
It plots a 200 period fast (green) and 225 period slow (red) sma . I usually use two MAs. Its visually very easy to understand.
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Sample Strategy
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
You can develop your own strategy with the channels. But following is just one of the ways you can trade.
Best Application: Ranging markets. But can be happily used in volatile conditions, with a little experience.
1. SMA: -- (this condition is optional really)
If green (200) is above red (225) go only long. If red is above green go only short. Defines long term trend of the market.
2. Channel slope: -- (this stuff needs practice/experience)
Depending on the channel slope, like if its tending to go up or down, you can choose to take only short or long trades. It defines short term momentum of the market.
3. ATR based heights:
Since its ATR based, the channel height are our natural entry and exit points.
Long:
When price touches lower shaded area, consider possible long entry. Exit on price entering the upper shaded area.
Short:
Enter on upper bound shaded area, exit on lower.
4. RSI:
For additional conformations. Again note, the RSI considers the lower bound of channel as 0 and upper as 100. But since, the channel moves up and down, the RSI will also move not only as RSI but also with the channel. Meaning, say if the RSI is valued at 50, then it will be near the center of the channel but since the center changes as time and price changes, the RSI valued at 50 at different times will not be at the same horizontal level respect to the graph, although it will be at the same level (center) respect to the channel.
5. PRC Channel Percentage label:
This label is at the lower side a bit ahead of the current candle. Provides you info on what is the channel percentage. This is especially helpful in crypto markets to gauge your possible percentage profit where profits can be much higher than forex or other instruments. It can also helps you select a suitable market/instrument if the channels are based on ATR.
6. Extra indicators:
I usually use stochastic along with this setup for extra conformations.
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Donate
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Use freely and donate generously if you find value. Your help will really help.
I had earlier provided BTC addresses for donations but it seems to violate TV House rules.
Hope they make TV coins redeemable in future.
- Pranav Joshi
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Extra Info
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// © cpranavjoshi
// special thanks to the "Trading View" people for providing this great platform for free
// ------------------------
// MATH
// ------------------------
// special thanks to an article on the web that provided layman friendly explanation of the maths
// unfortunately i wont be able to provide the link to that article owing to TV restrictions, though i sincerely would have liked to credit the author.
// Google search this phrase, and you should be able to get it in one of the first results - "polynomialregression Mathematics of Polynomial Regression"
// my regression math calculation is a further resolution upon the generalized matrix formula given in the that article.
// the generalized matrix looks scary but in fact its much simpler than one may assume
// the summation sign things are just float numbers that can be easily found out
// so we get a matrix with number of equations equal to the number of unknowns.
// e.g. if its a 3rd degree poly, it has 4 unknowns (c0,c1,c2,c3) with 4 equations as in the generalized matrix
// it can be resolved by simple algebra
// Note: the results have been verified with excel using same input data points.
// pine was difficult for me so i coded it in python first to verify
// ------------------------
// WHY
// ------------------------
// this script was coded because Pranav badly needed Polynomial channels (had used them in mt4 earlier)
// and at the time of this coding, i could not find any readily available script in the trading view public library ( tnx public)
// the complex math was probably the hurdle
// i m not good in maths, but by the Will of the Lord, i could resolve the issue with simple algebra and logic
// ------------------------
// PINE
// ------------------------
// i am just an average (even poor probably) programmer and pine script is not my language
// this is a humble attempt to write my first pine with whatever i could do quickly
// experts - feel free to develop if needed. have used some workarounds in drawings/plottings. rectify them if possible
//
//
// - Pranav Joshi
Ichimoku Cloud LONG and SHORT indicatorsThis simple script uses 4 rules from Ichimoku Cloud indicator to marks position entry points.
The idea is that by entering a long position just when these 4 criteria are met, you can capture a 2-3% plus move within the next few days:
1. The conversion line is above the base line
2. The price is above the clouds
3. The lagging span is above the clouds
4. The rightmost cloud is green
The same 4 criteria but inverted will indicate a short entry.
In order to avoid 'stale' entries which can lead to chasing, we want the price and conversion line crossovers to be recent, within the past few days. Ideally we want to enter before close on the day the entry signal is given so that we can capture any potential gap up (or down if short). Often the price will make a nice move the next day or day after. If any of the criteria become invalidated, or if after 4-5 days there hasn't been significant movement, then it was a false alarm.
This script will show the basic Ichimoku Cloud indicators, plus labels for bearish and bullish price and conversion line crossovers as well as LONG and SHOT indicators to show when the entry criteria have been met.
Growth Producer
Applicable to FTX:ETHPERP 15 min
Relative volatility index (RVI) that will determine the entry and exit points only when the volatility will start to increase and Money Flow index as an additional point for entry.
IMPORTANT
• Input Partial take profits in your Bot settings
• This is a trend strategy and works better in the trending market
• We added the trend identifier using the EMA and SMA interaction
• We added Take profit and stop loss levels
• We added inputs for the period selection, so you could see how the strategy is performing on a monthly basis.
• RVI for the entry conditions
• MFI was added for the additional entries.
• Partial Take-profits
Percent Calculator OverlayFirst and foremost: I'm inspired to publish my scripts by the other member's who publish quality, detailed scripts -a token of my appreciation and support, Thank You.
The percent calculator overlay is an extension of my Percent Calculator indicator that allows one to visualize the percent metrics they're interested in trading: it''s function is to simply output the target price from either the close or ones trade-entry based on a desired percent return on investment (R.O.I.) then plots it on top of the chart as an area plot and notes anytime in the past the desired conditions were met with a {flag "Success"}.
Say you want to profit 15% from your entry: open the settings and plug in your entry value and the number 15 into the appropriate settings and the indicator displays what the target price should be (rounded to two decimal places) right on the chart with the area as well as the horizontal line which is enabled by the "track price" setting.
The percent calculator overlay also goes one step further by finding the average percent return on investment over a desired interval of time (the default is 20 candles) as well as allows one to adjust the size of the price move the average percent return on investment is being calculated for which is displayed on the chart as circles and also displays a horizontal line for the most current value with the enabled "track price" setting.
NOTE: unlike the Percent Calculator the Percent Calculator Overlay creates a visual record of the number of success' the programmed parameters have achieved (based on the closing prices) which self adjusts when the "size of the move" is changed.
Say you want to find the average percent return on investment for a 3 candle swing over a 200 candle interval of time: open the settings and plug the number 200 into the interval setting and the number 3 into the price-move setting and the indicator displays what the average 3 candle swing returns on investment and plots what the target price would be to achieve the average return given the current close (or entry price) with the gray circles and the horizontal line enabled with the "track price" setting.
Practical Application: comparing ones desired return on investment to the average return on investment can help determine how realistic ones goals are... it's unlikely to achieve 100% return on investment if the average is only around 10% (given the parameters one is working within) but on the other hand achieving 5% return on investment is highly likely. By visualizing roughly how often the given parameters have achieved success on the chart one can become a lot more comfortable, confident, and accurate with their goals.
Forward Looking Statement: I believe in the not too distant future plug and play automated trading systems will be made available to the general public. Over the past 4 years we have seen brokers offer free charting software, commission free trading, and now fractional shares; I don't think it will be much longer before we can simply click a few buttons and tell the computer to enter when the stochastic is overbought/sold and exit with a predefined percent gain (and to repeat that process indefinitely). -Imagine the data moving 2-3-4 times a second, the liquidity flowing like Niagara falls, and 95% of the working population not only starting to invest but gains the extra cash flow they desperately need.
Beta testing: please comment or send me a message if you happen to stumble over any bugs or have any suggestions for improvement.
Percent Calculator (Return On Investment Target Price)First and foremost: I was inspired to publish my first script after reading some of the other member's scripts -a token of my appreciation and support, Thank You.
The percent calculator is a very simple and basic indicator to use, it''s function is to simply output the target price from either the close or ones trade-entry based on a desired percent return on investment (R.O.I.).
Say you want to profit 15% from your entry: simply plug in your entry value and the number 15 into the appropriate settings and the indicator displays what the target price should be (rounded to two decimal places).
The percent calculator also goes one step further by finding the average percent return on investment over a desired interval of time (the default is 20 candles) as well as allows one to adjust the size of the price move the average percent return on investment is being calculated for.
Say you want to find the average percent return on investment for a 3 candle swing over a 200 candle interval of time: simply plug the number 200 into the interval setting and the number 3 into the price-move setting and the indicator displays what the average 3 candle swing returns on investment.
Practical Application: comparing ones desired return on investment to the average return on investment can help determine how realistic ones goals are... it's unlikely to achieve 100% return on investment if the average is only around 10% (given the parameters one is working within) but on the other hand achieving 5% return on investment is highly likely.
Short in Bollinger Band Down trend (Weekly and Daily) // © PlanTradePlanMM
// 6/14/2020
// ---------------------------------------------------
// Name: Short in Bollinger Band Down trend (Weekly and Daily)
// ---------------------------------------------------
// Key Points in this study:
// 1. Short in BB Lower band, probability of price going down is more than 50%
// 2. Short at the top 1/4 of Lower band (EMA - Lower line), Stop is EMA, tartget is Lower line; it matches risk:/reward=1:3 naturally
//
// Draw Lines:
// BB Lower : is the Target (Black line)
// BB EMA : is the initial Stop (Black line)
// ShortLine : EMA - 1/4 of (Stop-target), which matches risk:/reward=1:3
// Prepare Zone : between EMA and ShortLine
// shortPrice : Blue dot line only showing when has Short position, Which shows entry price.
// StopPrice : Black dot line only showing when has Short position, Which shows updated stop price.
//
// Add SMA50 to filter the trend. Price <= SMA, allow to short
//
// What (Condition): in BB down trend band
// When (Price action): Price cross below ShortLine;
// How (Trading Plan): Short at ShortLine;
// Initial Stop is EMA;
// Initial Target is BB Lower Line;
// FollowUp: if price moves down first, and EMA is below Short Price. Move stop to EMA, At least "make even" in this trade;
// if Price touched Short Line again and goes down, new EMA will be the updated stop
//
// Exit: 1. Initial stop -- "Stop" when down first, Close above stop
// 2. Target reached -- "TR" when down quickly, Target reached
// 3. make even -- "ME" when small down and up, Exit at Entry Price
// 4. Small Winner -- "SM" when EMA below Entry price, Exit when Close above EMA
//
// --------------
// Because there are too many flags in up trend study already, I created this down trend script separately.
// Uptrend study is good for SPY, QQQ, and strong stocks.
// Downtrend Study is good for weak ETF, stock, and (-2x, -3x) ETFs, such as FAZ, UVXY, USO, XOP, AAL, CCL
// -----------------------------------------------------------------------------------------------------------------
// Back test Weekly and daily chart for SPY, QQQ, XOP, AAL, BA, MMM, FAZ, UVXY
// The best sample is FAZ Weekly chart.
// When SPY and QQQ are good in long term up trend, these (-2x, -3x) ETFs are always going down in long term.
// Some of them are not allowed to short. I used option Put/Put spread for the short entry.
//
SSL Crossover + MA choiceThis indicator builds on the SSL channel code by ErwinBeckers @
I have added options for diff MA's to be used in the SSL channel and crossover indicators for buy/sell signals
default MA is set to Arnaud Legaux, but you can set it to whatever you like - original was a Simple Moving Average by ErwinBeckers
The indicator will not repaint as the signals are drawn after close of crossover candles
Let me know if you have any suggestions - happy to add more functionality
inwCoin Martingale Strategy ( for Bitcoin )** Same as my previous martingale script but this version = opensource **
inwCoin Martingale Strategy is the proof of concept strategy that in the end, anyone who using martingale strategy will kaboom their portfolio.
For those who don't know what is "martingale".. it's a simple double down strategy in the hope to cover the loss in previous entry.
Example
In the game that if you win, you'll get 100% of your bet money back.
1st loss = 1$
2nd loss = bet 2$ : if win, get 2$ / real profit = 1$ ( 2-1 )
3rd loss = bet 4$ : if win, get 4$ / real profit = 1$ ( 4 - ( 2+1) )
4th loss = bet 8$ : if win, get 8$ / real profit = 1$ ( 8 - ( 4+2+1 ) )
...
...
10th loss = bet 512$ : if win, get 512$ / real profit = 1$ ( 512 - ( 256+128+64+32+16+8+4+2+1) )
as you can see, the next bet will be first bet x 2^(n-1)
and the profit will equal to your first bet.
==================
In trading and forex EA ( Expert Advisor or bot ) people use this strategy to fool newbies that their martingale system will generate steady income for eternity.
But in reality, this strategy will destroy your whole portfolio eventually some time in the future. Because there will be some "Blackswan event" in market at some point in time. And one who ignore this fact, will lose everything.
But, if you using low risk strategy and generate some profit from your low-risk portfolio. You can take small chunk of that profit and put it in riskier strategy like this martingale, to accerelate your profit snowball.
===================
Parameter Explaination
====================
Price = datasource for indicator calculation
Fixed position size option = if uncheck, the "Start position size" parameter will be % of your initial capital. If checked, it will fixed position size ( like 1 BTC )
Start Position Logic = condition to enter first trade
- MACD singal > 0 : Self explanatory, default macd value
- Stochastic RSI cross up : enter when sto line cross up from bottom ( 20 )
- ATR channel : enter trade if price cross above 2.3 ATR
Take Profit Percent = take profit target % from average entry
Start martingale ..= if price compare to average position entry less than this %, it will start to double down ( martingale )
Martingale Multiplier = you can specific how big you'll double down, default is 2
Trade Direction = long only for now
Use date rang = self explanatory
** make sure to setup your initial capital in properties tab **
On chart
=======
White Line = Average position price
Orange Line = your current equity
If equity less than 0, it will close any remaining positions ( It's mean your position got liquidated )
If price > equity line for "take profit percent" it will close any remaining positions.
=======
As you can see, this strategy survive 2018 drop and pump profit to 1000+% ( Check in the strategy tester tab > list of trades )
But in May 2020 -50% drop in just 3 days, your whole portfolio got liquidated.
Actually, after some digging in profit and backtest result.
This strategy, when it can survive a shape drop, can generate a lot of profit.
So, if you want to use martingale. Make sure to use only small chunk of your profit from "low-risk" strategy to accelerate your profit generation ( aka degen port )
DO NOT greedy and use all of your initial capital or borrowed money to use with this strategy!
QQE signalsConverted the QQE oscillator to in-chart long and short signals with built in alerts. This is multi-timeframe and quite robust.
Mirror MACD by Trader JayThis is my take on the metatrader indicator, the mirror macd. Works pretty good on Forex, haven't tested on anything else
Enter long after the Blue Line Cross Up the Red Line and EXIT after the Green line Cross Up the Red Line (above the Blue Line).
For the opposite position : ENTER SELL after the Red Line Cross Down.
Generalized SSL by Vts// Generalized SSL:
// This is the very first time the SSL indicator, whose acronym I ignore, is on Tradingview.
// It is based on moving averages of the highs and lows.
// Similar channel indicators can be found, whereas
// this one implements the persistency inside the channel, which is rather tricky.
// The green line is the base line which decides entries and exits, possibly with trailing stops.
// With respect to the original version, here one can play with different moving averages.
// The default settings are (10,SMA)
//
// Vitelot/Yanez/Vts March 2019
Waddah Attar Explosion and WaveTrend Oscillator combinedWaddah Attar Explosion by LazyBear and WaveTrend Oscillator by Krypt.
All credits goes to LazyBear and Krypt, i have only done some combining with the two indicators, barcolors and BG colors to clarify entrys and exits.
Combine with CM_Williams Vix_Fix, Super Guppy R1.0 by JustUncleL and you have a powerful tool.
Barcolors to look for
Aggressive Buy 1 = Lime
Agressive Buy 2 = Aqua
Buy = Green
Sell 1 = Orange
Sell 2 = Red
This is my first try, so be nice to me :-)
