Alpha-Numerologia by Alien CrewAlpha-Numerologia is our latest generation of market analytical tools, built completely from the ground up using a new cutting-edge mathematical formula, designed by the Alien Crew team.
The purpose of this tool, is to tap into the mathematics behind the market prices themselves, in order to extrapolate areas where the price is likely to find support or resistance. This indicator does not use Fibonacci or Pivot Points in any way whatsoever. It does however rhyme with them every now and then, as is the systematic nature of markets. The key strength of this indicator is its ability to adapt to ever-evolving market conditions, providing users with a real-time, clear visualization of essential price zones.
There are several aspects to the process that goes on in this algorithm. Firstly, it gathers range data from multiple lookback periods of time to understand the underlying asset volatility and reference points for calculation. Following that, it identifies the numerical structure of all the ranges, and finds their common denominators, which are essentially subsets. These subsets are then scaled in real-time, reacting to the change in volatility. A scaling mechanism occurs when the volatility either increases or decreases, causing the algorithm to recalculate the levels using the identified subsets. Since each subset has the same character as the whole, it is by definition a fractal. From a mathematical standpoint, such subsets have no limits on scale. They can be infinitesimal, or infinitely large.
Such a fractal nature provides the benefit of this algorithm being able to adjust to virtually any asset and any chart timeframe. Furthermore, through the monitoring of several temporal periods it is able to correlate alignments of the subsets, which is denominated as a percentage on the chart. Such confluences give more importance to the detected level.
---
Remember, the world of trading comes with significant risks and unpredictability. While the Alpha-Numerologia Indicator is a highly sophisticated tool, it should be used in combination with other analytical techniques and a sound risk management strategy. Always conduct your own research before making trading decisions. Due to the extended research and work placed into it, the inner workings behind Alpha-Numerologia are proprietary, and shall not be discussed or disclosed in any way by Alien Crew. The source code is not for sale either.
Algorithmic
Murder Algo Stats: last portion of Indices closing hour (S&P)Stats regarding the 'murder algo' (last 10mins of the closing hour). Works on all sub-1hr timeframes. Best used on 5min, 10min 15min timeframe. Ideal use on 10min timeframe.
Can be applied to other user input sessions also
What i'm calling the 'Murder Algo' is the tendency of dynamic lower time frame price action in the final 10minutes of the S&P closing hour (or any of the three major US indices: S&P, Nasdaq, Dow).
If there are un-met liquidity targets (i.e. clean highs or lows) as we come into the last portion of the closing hour, price has a tendency to stretch up or down to reach these targets, swiftly.
These statisitics are somewhat experimental/research; trying to quantify this tendency. Please comment below if you think of some additions / modifications that may prove useful.
//Purpose:
-To get statistics of the tendency to 'reach' of the final bar (10minute bar in the above) of the closing hour in Indices (3pm - 4pm NY time).
-Specifically to see how often price reaches for HH or LL in the final bar of the closing hour (most of the time); and to see how far it reaches one way when it does (Mean, median, mode).
//Notes:
-Two sets of historical stats; one is based on the 'solo reach' of the last bar; the other is based on the reach of the last bar from the average price of the preceding bars of the session (purple line in the above)
-Works on any timeframe below hourly. Ideally used on 10min timeframe, but may be interesting to plot on 15min or 5min timeframe also.
-Should also work on custom user-defined session; though this indicator was explicly designed to investigate the 'murder algo': that final rush and/or whipsaw tendency of price in the last few minutes of Regular trading on Indices.
-For S&P, best used on SPX, which gives the longest history of all the S&P variants due to only showing Regular trading hours bars (500 days of history on 10min timeframe, for premium users)
-For most stats, i've rounded to ES1! mintick (i.e. rounded to nearest quarter dollar) =>> This allows more meaningful values for 'mode' statistical measure.
-I trade S&P; but this 'muder algo' phenomenon also obviously presents in Nasdaq and Dow.
//User Inputs:
-Session time input (defaults to closing hour 3pm - 4pm NY time)
-Average method (for the average of all the input session EXCEPT the final bar)
-Toggle on/off Average line.
-other formatting options: text color, table position, line color/style/size.
Example usage with annotations on SPX 500 chart 15m timeframe; using closing hour (3pm-4pm NY time) as our session:
DMI + HMA - No Risk ManagementDMI (Directional Movement Index) and HMA (Hull Moving Average)
The DMI and HMA make a great combination, The DMI will gauge the market direction, while the HMA will add confirmation to the trend strength.
What is the DMI?
The DMI is an indicator that was developed by J. Welles Wilder in 1978. The Indicator was designed to identify in which direction the price is moving. This is done by comparing previous highs and lows and drawing 2 lines.
1. A Positive movement line
2. A Negative movement line
A third line can be added, which would be known as the ADX line or Average Directional Index. This can also be used to gauge the strength in which direction the market is moving.
When the Positive movement line (DI+) is above the Negative movement line (DI-) there is more upward pressure. Ofcourse visa versa, when the DI- is above the DI+ that would indicate more downwards pressure.
Want to know more about HMA? Check out one of our other published scripts
What is this strategy doing?
We are first waiting for the DMI to cross in our favoured direction, after that, we wait for the HMA to signal the entry. Without both conditions being true, no trade will be made.
Long Entries
1. DI+ crosses above DI-
2. HMA line 1 is above HMA line 2
Short Entries
1. DI- Crosses above DI+
2. HMA line 1 is below HMA lilne 2
Its as simple as that.
Conclusion
While this strategy does have its downsides, that can be reduced by adding some risk manegment into the script. In general the trade profitability is above average, And the max drawdown is at a minimum.
The settings have been optimised to suite BTCUSDT PERP markets. Though with small adjustments it can be used on many assets!
TrustedSignals™TrustedSignals Indicator includes standard Buy and Sell signals on the chart, Support & Resistance lines, Auto-Trendlines, AutoFibs and an All-in-One Market Dashboard.
(All these signals can be set up as Live Alerts directly in Tradingview)
The 2 main Input options for this algorithm are ' Reactivity ' and ' Depth '. By default, the indicator is added to your chart with the best settings we've found so far.
-The ' Reactivity ' controls how quickly the algorithm reacts to trend changes. The higher the reactivity, the fewer trades on the chart. If the Reactivity input is low, the algorithm will react more quickly, and show more frequent trades.
-The ' Depth ' controls the position of the signals relative to the trend swing. A lower Depth will allow for more frequent and earlier entries, while a higher Depth will give slower entries.
Our third (secondary) input is ' Trend Length ' (the Lookback of the ' Current Trend ' indicator). TrustedSignals™ is coloring the candles based on the current trend direction. The blue color shows an uptrend, while the red color shows a downtrend. Buy and Sell signals alerted while the current trend is showing pink (Sideways Market) should be taken carefully, as the market direction is not decided.
Since we believe in the idea of an ' All-in-One ' Indicator, we have included 3 more extremely useful and powerful trading tools.
-The first optional feature is the ' Support and Resistance ' lines. This feature can be activated to draw the key levels of Support and Resistance, easing your decision making and reinforcing the entry signals. Those levels can also be used as Stop Loss or Take Profit
-The second optional feature is the ' Auto-Trendlines '. This part of our amazing indicator automatically draws Trendlines based on the Lookback period the user inputs.
-The last and most important optional feature is the ' AutoFibs '. TrustedSignals™ will automatically draw Fibonacci Retracement levels from trend swing key points. (the lookback length can be adjusted by the user)
- Market Dashboard -
Within one simple panel on your chart, our Dashboard displays the most relevant data from all of our features in real-time.
Current Trend
(The bar color) is an indicator based on Murrey Math's lines. These lines are based on the idea that according to Gann, price moves in 1/8's that act as points of support and resistance. Given this 1/8 characteristic of price action, we assigned properties to each of the lines in a given octave, obtaining a perfect Trend Indicator shown by the candle color, ranging from red to orange to blue.
Market Sentiment
Market Sentiment is a zero lag, 'noise-free', custom improved version of the old 'Relative Strength Indicator ( RSI )' It measures trend velocity and momentum, while it charts the current and historical strength or weakness of the market. It is a much more accurate and vastly superior than the usual RSI.
Trusted Sginals Oscillator
TS Oscillator is our own branded indicator used to measure market momentum and determines whether bullish or bearish trend dominates the market. It measures the market momentum, with the aim to detect potential trend direction. Helping you to identify if the price is high or low in comparison to the recent price behavior.
Outputs: "Strong Bearish ", "Weak Bearish", "Strong Bullish ", "Weak Bullish"
Higher Timeframe Trend is a trend indicator based on our own non-repainting calculation of higher timeframe trend. It is based on a custom method that builds synthetic support and resistance lines from higher time, without repainting, while keeping the output extremely accurate.
Use the link below to obtain access to this indicator
Custom Self-Adjusting Parabolic SARA custom version of the Self-Adjusting Parabolic SAR that can be used as a source for your trading frameworks and indicators.
It is presented on the preview as a -signal line that replicates Self-Adjusting Parabolic SAR state.
Here is an example of how it works with Buy/Sell/TP/SL/TSL Alerts Module :
If you have any questions don't hesitate to ask and contact me either via private messages on TradingView or via Telegram.
Tradespot Quant - Strategy & AlertsTradespot - Quant is an extensive trading algorithm, signal generator and technicals screener packed into one beautifully designed, functional indicator. The script is very customisable to not limit the trader using it but does have some very respectable default settings for BTCUSD on the 4H and 15M charts that we run in an automated fashion here a Tradespot round the clock on Binance Futures.
What does Tradespot Quant do?
Trade following signals generated via our bespoke algorithm
Full customisation to allow a deeper use of the indicator across different assets
Full risk management with take profit and stop loss levels (configurable) built in
Presets for BTCUSD & ETHUSD on the 4H/15M timeframes avaliable instantly for your use.
Innovative trade panel that illustrates key information such as what trade the algorithm is looking for next
More features being added all the time, we have great ideas and our only limitation is how fast we can program it!
Cornix compatible alerts - with the easiest of configurations you can automate this execution of this strategy.
Do you do a free trial?
Yes! Get in touch for a complimentary 48 hour free trial to the indicator, no strings attached.
Who are you?
Tradespot has been creating scripts for years on TradingView that we use to leverage our social trading and signal group offerings. We currently have over $200K in assets trading with our strategies across over 300 users.
You can learn more about us on our website. Please reach out to me or see the link on our profile.
Self-Adjusting Parabolic SARWhat is this tool?
This is an implementation of the well-known Parabolic SAR indicator that can adjust parameters on the fly to achieve a better profitability.
The algorithm was borrowed from Profitable Parabolic SAR and connected to the basic Parabolic SAR implementation. So, now it will switch parameters automatically without any manual work required.
Profitable Parabolic SAR indicator can be found here:
Parabolic SAR indicator can be found here:
CryptoEngineering 🔥Isn’t It Time You Made Your Crypto Portfolio Great Again? 🔥
The falling knives, the heartbreaking crashes, the devastating feeling of watching a missed trade soar all the way to the moon.
The markets aren’t fair, which means you need a tool that gives you an edge. So,It is time to try EngineeringRobo.
The Engineeringrobo is a great ally in a crypto market - when the price moves the algorithm will automatically show Buy and Sell orders when there is a best opportunity to make a profit. It is a just SMART trading system script on TradingView that brings the easiest approach to trading with a high profitability rate.
I created EngineeringRobo to help you on your traders as a robo advisor , It will "not " trade on behalf of you on exchanges via API. It is not an AI robot,It is am ALGO Trading robot. You can use it on any trading markets (BIST, S&P 500,Commodities ,Forex, Crypto ) with any time frame!
My unique algorithm find profitable altcoins based on their Ichimoku, McGinley, MA, RSI, MACD, Stochastic, Volumes and Price Changes gives you BUY and SELL signals. The EngineeringRobo indicator displays two different signals for entry and exit on a coin to maximize its profitability on the chart. The signals can appear at any time during an open candle, but once closed the signal is final and wont change in the future.
One of the biggest advantages of algo trading is removing human emotion from the crypto markets,humans trading are susceptible to emotions that lead to irrational decisions.Robo doesn't have to think or feel good to make a trade. If conditions are met, it enters.When the trade goes the wrong way or hits a profit target, It exits. It doesn't get angry at the market or feel invincible after making a few good trades. The two emotions that lead to poor decisions that algo traders aren't susceptible to are fear,and greed.
That's why It makes money but most of you not!
What Are the Advantages of using it as a ROBO Advisor?
🔴Reduce your required screen-time
🔴Reduce anxiety over missing setups when you are busy
🔴Turn existing indicators into alerts (eg. Whenever RSI goes overbought)
🔴Find comfort in knowing that you have me on your side
To get the maximized results from @EngineeringRobo
Open tradingview
Decide the coin/BTC
Pick 1M
Draw the Support & Resistance lines
Change the 1W
Draw the lines - Support & Resistance
Find out Chart Patterns
Change to 3D/1D / 3H
Check Robo' signals
Set your orders
Enjoy your profits💰
***Even the best automated day trading software can trigger false trends.
In August 2012 by Knight Capital group;who lost over $440 million in just half an hour when their trading software went rogue in response to market conditions. That's why it is a Robo advisor not trading bot! Engineeringrobo is not a get-rich-quick scheme as well!
Disclaimer
Information on EngineeringRobo should not be seen as a recommendation to trade BIST, S&P 500,Commodities ,Forex, Crypto.
EngineeringRobo is not licensed nor authorized to provide advice on investing and related matters.
Information on the page is not, nor should it be seen as investment advice.Any trading decisions that you make are solely your responsibility. Clients without sufficient knowledge should seek individual advice from an authorized source.
Crypto and Forex trading entails significant risks and there is a chance that clients lose all of their invested money. Past performance is not a guarantee of future returns. Before trading with any of the Algos, clients should make sure they understand the risks.
EngineeringRobo nor its agents or partners are not registered and do not provide any services on the US territory.
***I have been trading since 2016 . Got my first bitcoin in 2013
Custom Self-Adjusting SuperTrendA custom version of Self Adjusting SuperTrend that can be used as source for your trading frameworks and indicators.
Self-Adjusting SuperTrendWhat is this tool?
This is an implementation of the well-known SuperTrend indicator that can adjust parameters on the fly to achieve a better profitability.
The algorithm was borrowed from Profitable SuperTrend and connected to the basic SuperTrend implementation. So, now it will switch parameters automatically without any manual work required.
Alerts
The same alerts as for the basic SuperTrend + special alert to notify user about parameters switching.
Profitable SuperTrend indicator can be found here:
SuperTrend indicator can be found here:
Good luck!
Profitable MAMA & FAMA CrossoverIntroduction
The MESA Adaptive Moving Average (MAMA) was originally presented by John F. Ehlers. By design, it is a special kind of Exponential Moving Average with self-adjusting alpha. Its adaptation is based on the rate change of phase as measured by the Homodyne Discriminator and the alpha parameter is allowed to range between a maximum and minimum value (Fast Limit and Slow Limit).
Key Point: Ehlers suggested the maximum value to be 0.5 and the minimum to be 0.05 .
The variable alpha is computed as the Fast Limit divided by the phase rate of change. If the phase rate of change is large, the variable alpha is bounded at the SlowLimit. Then, this alpha is used to compute MAMA and FAMA (Following Adaptive Moving Average).
Should we rely on Ehlers' suggestions if we want to achieve the best result with MAMA & FAMA crossover system?
Well, he is a good specialist and widely recognized author, I respect him, but the answer is no and you can see results on the chart.
What is our goal?
We want to find the best configuration for MAMA & FAMA Crossover. To achieve that we need to analyze the MAMA's alpha parameter or, more specific, the bounds for this parameter, Fast and Slow Limits.
What is this tool?
This tool is a performance optimizer that uses decision tree-based algorithm under the hood to find the most profitable settings for the MAMA & FAMA Crossover. It analyzes a bunch of different Fast Limits (between 0.01 to 0.8 with step of 0.1 ) and Slow Limits (between 0.01 to 0.6 with step of 0.1 ) and backtests each combination across the entire history of an instrument. If the more profitable parameters were found, the indicator will switch its values to the found ones immediately.
So, instead of manually selecting and testing parameters just apply this indicator to your chart and
relax - the algorithm will find the best parameters for you
Alerts
It has a special alert that notifies when the more profitable settings were detected.
NOTE: It does not change what has already been plotted.
NOTE 2: This is not a strategy, but an algorithmic optimizer.
Reference: www.mesasoftware.com
MAMA & FAMA Crossover can be found here:
Profitable Jurik RSXIntroduction
As you know the Jurik RSX is a "noise free" smoothed version of RSI (Relative Strength Index), with no added lag.
It was originally developed by Mark Jurik and is used the same way as RSI. To learn more about this indicator see www.jurikres.com
The most basic and common strategy is to use the crossovers between Jurik RSX and its overbought/oversold levels as trade signals:
when RSX crosses above 30, go Long
when RSX crosses below 70, go Short
exit when a crossover occurs in the opposite direction
What is this tool?
This tool is a performance scanner that uses a decision tree-based algorithm under the hood to find the most profitable settings for Jurik RSX. It analyzes the range of periods between 2 to 100 and backtests the Jurik RSX for each period (using the strategy mentioned above) across the entire history of an instrument. If the more profitable parameter was found, the indicator will switch its value to the found one immediately.
So, instead of manually selecting parameters just apply it to your chart and relax - the algorithm will do it for you, everywhere you want.
The algorithm can work in two modes: Basic and Early Switch. The Early Switch algorithm makes some assumptions and activates a set of optimizations to find a better setting DURING the trades, not after they were actually closed.
The difference is illustrated on the screenshot below
But two modes can show identical values depending on timeframe
Additionally you can set up a backtest window through indicator's settings (the optimizers which were published before will get this feature soon).
Alerts
It has a special alert that notifies when a more profitable period was detected.
NOTE: It does not change what has already been plotted.
NOTE 2: This is not a strategy, but an algorithmic optimizer.
Profitable RSI (Relative Strength Index)Introduction
As you know the Relative Strength Index (RSI) was originally developed by J. Welles Wilder and was described in his book "New Concepts in Technical Trading Systems" (1978). It is intended to measure the strength or weakness of an instrument for the specified period.
The most basic strategy is to use the crossovers as trade signals:
when RSI crosses above 30, go Long
when RSI crosses below 70, go Short
Exit when a crossover occurs in the opposite direction
What is this tool?
This tool is a performance scanner that uses a decision tree-based algorithm under the hood to find the most profitable settings for RSI. It analyzes the range of periods between 2 to 100 and backtests the RSI for each period using the strategy mentioned above across the entire history of an instrument. If the more profitable parameter was found, the indicator will switch its value to the found one immediately.
So, instead of manually selecting parameters just apply it to your chart and relax - the algorithm will do it for you.
The algorithm can work in two modes: Basic and Advanced "Early Switch" . The Early Switch algorithm makes some assumptions and activates a set of optimizations to find the better setting DURING the trades, not after they were closed.
The difference is illustrated on the screenshot below:
Additionally you can set up a backtest window through indicator's settings (the optimizers which were published before will get this feature soon).
Alerts
It has a special alert that notifies when a more profitable period was detected.
NOTE: It does not change what has already been plotted.
NOTE 2: This is not a strategy, but an algorithmic optimizer.
Day after day. Night after night.
I've been waiting to program again.
Day after day. Night by to night.
Trading is waiting inside your heart.
Strategy Builder Crypto (Single Trend/Plots)Hi everyone
Big program for the daily indicator
This one will be free on trial only for a week because it has an immense value and required quite a lot of work. For more info to use it long-term, please DM me
That out of the way, let's dive right in...
This is a huge upgrade from that script Ultimate-Algorithm-Builder-Single-Trend
The Tradingview non-pro users will appreciate it because it allows to add the selected subsequent indicators as well. The Pro users too will likely like this feature equally, what the H*** I'm saying :)
This indicator will transform you into what I was in the past... into a quant trader. You'll build your own trading algorithm in a few clicks only
Which timeframe and which assets ?
Short answer : ALL and ALL
You'll have to define the configuration of the tool based on your capital, psychology. For custom configuration of the tool, please DM me directly so that we can discuss further
But a few words of advices anyway :
the bigger the timeframe, the lower the inputs (and vice-versa)
Think about how much $$ you want to make per trade and define your entries from there
Think about how much $$ you can afford to lose per trade and define the supertrend from there
...
Your golden configuration might not work for all assets.
You might have to create some tweaks - for instance you found a great config for BTCUSD but it's not working for ETHUSD, then you can create a copy of your BTCUSD chart and set a new config for ETHUSD
What are the indicators inside :
This fantastic tool that I personally use for my trading detects convergence between the following indicators :
Overlay - meaning if the price close above/below a moving average
Trend Signal - to detect if the the DOW law is broken and predict a possible reversal - en.wikipedia.org/wiki/Dow_theory
In other words, it detects if the higher highs or lower lows sequence is broken
MACD or MACD Zero Lag
MA Cross - Cross of moving averages
Ichimoku - if the price closes below/above the cloud
Supertrend - used to detect polarity zones
TSI Shadow -
Pullback
You'll also have the possibility to define a pullback on a given MA. That means basically that you'll get a convergence and it will only display a signal when it will pullback first
This will reduce your losses in case of invalidation and maximize your gains as it will enter the trade in a better position.
You can define your pullback either based an absolute value or based on a percent distance from the MA
+Example:
Pullback value = 100 means I want a 100 pip/USD distance between the MA pullback and the candle
Pullback percent = 2 means I want a 2% distance between the MA pullback and the candle
The percent option is more generic in my opinion but I let the other available for those who might like it
That's it ?
Almost....You can also setup alerts on the indicator signals so that you won't have to stay days in front of the chart to wait for a signal.
You receive the alert, you check real quick if we're not in front of a support/resistance, if no then take the trade. if yes, I advice waiting for a big pullback - better to be safe than sorry in trading
What If you want a custom version ?
Here are a few custom ideas I could add just for you :
re-enter everytime there is a convergence. So far the indicator is only taking the first convergence. This would give more entries
add the resistances/supports (fibo, pivot)
add the take profit targets and trailing stop loss
..
Please hit me up directly so we can discuss further. Any custom dev will require quite some time so it won't be free
Enjoy that one as I really think it will improve your analyst skills and trading and hopefully make you a few gains (which will make me very happy as I want to help most of you to at least not losing your capital)
Dave
PA Researcher Algorithmic Trading Indicator PA Researcher Algorithmic Trading Indicator v1.
This Indicator is Algorithmic Trading Indicator.
Provide Best Buy/Sell Time & Good to check Long/Short term Trend For Swing/Scalping
Easy Trend Analysis for Beginner
Ability to Turn ON/OFF each Indicators
Ability to Change Colors
#This is not a Auto-Bot, This indicator Provide the Best Enter Time
-----------------------------------------------------------------------------------------------------------
PA Researcher Algorithmic Trading Indicator v1. 입니다.
자동화된 추세 분석을 통해 단/중/장기적인 추세 분석을 나타내주며,
알고리즘 값에 충족할 시 매수/매도 시그널이 나타납니다.
추세분석을 매우 쉽게 나타내며, 원웨이를 잡기에 매우 좋은 진입 시그널이 발생됩니다.
무엇보다, 추세변곡을 엄청나게 잘 잡아냅니다.
그 어떤것보다 시각적인 요소를 중요시 했기 때문에, 사용법을 잘 모르시는 분들도 쉽게 사용하실 수 있습니다.
Ex_)
Hit ratio example
적중률은 이 사진 한장으로 설명됩니다.
Profitable SuperTrendIntroduction
I was faced with the fact that many authors contradicted each other about the indicator settings. Each trader offers his(her) own settings, without having an evidence base. Therefore, I decided to make an algorithmic optimizer.
What is this tool?
This tool is a performance optimizer that uses a decision tree-based algorithm under the hood to find the most profitable settings for the SuperTrend indicator. It analyzes a bunch of different ATR Periods (between 3 to 45 ) and ATR Multipliers (between 1 to 8 with a decimal step of 0.1 ) and backtests each combination across the entire history of an instrument. If the more profitable parameters were found, the indicator will switch its values to the found ones immediately.
Instead of manually selecting parameters, just relax - the algorithm will do it for you.
Alerts
It has an alert that notifies when the more profitable settings were found.
NOTE: It does not change what has already been plotted before.
NOTE 2: The implementation of the SuperTrend indicator I used can be found here
Double Top Pattern IdentifierI believe the most of users know the Double Top Pattern, so I omit the introduction.
The algorithm uses 10 internal watchers to identify the incomplete M-pattern. If any of the watchers finds the pattern, the signal will be plotted on the chart. You can customize the lookback periods for the watchers as well as you can specify the precision of the difference between two possible tops.
By default, all watchers wait for bar closing to avoid repainting issues. You can switch off this option.
Additionally, you can shift up/down the signal labels to the preferred distance.
NOTE: the orange straight lines are not included.
Double Bottom Pattern IdentifierI think everybody knows the Double Bottom Pattern, so I omit the introduction.
The algorithm uses 8 internal watchers to identify the incomplete W-pattern. If any of the watchers finds the pattern, the signal will be plotted on the chart. You can customize the lookback periods for the watchers as well as you can specify the precision of the difference between two possible bottoms.
By default, all watchers wait for bar closing to avoid repainting issues. You can switch off this option.
Additionally, you can shift down the signal labels to the preferred distance and set an alert for a new pattern found.
NOTE: the blue straight lines are not included.
Profitable AroonIntroduction
The Aroon indicator was developed by well-known technical analyst Tushar Chande in 1995 and is used to identify trend changes in the price of an asset, as well as the strength of that trend. The fact that he named the indicator "Aroon" which is Sanskrit for "Dawn’s Early Light" demonstrates his belief in his indicator's trend discovery capabilities.
It is composed of two lines, Aroon Up and Aroon Down .
The most basic strategy is to use the crossovers as trade signals:
when Aroon Up crosses above Aroon Down , go Long
when Aroon Down crosses above Aroon Up , go Short
Exit when a crossover occurs in the opposite direction
What is this tool?
This tool is a performance scanner that uses a decision tree-based algorithm under the hood to find the most profitable period setting for the Aroon. It analyzes the range of periods between 2 to 100 and backtests the Aroon indicator for each period using the strategy mentioned above across the entire history of an instrument. If a more profitable parameter was found, the indicator will switch its value to the found one immediately.
Alerts
It has an alert that notifies when a more profitable period was found.
NOTE : It does not change what has already been plotted.
Good luck and Happy Trading!
Profitable Parabolic SARIntroduction
As you know, Parabolic Stop and Reverse (SAR, PSAR) was originally developed by J. Welles Wilder and was described in his book "New Concepts in Technical Trading Systems" (1978). It derives its name from the fact that when charted, the pattern formed by the points resembles a parabola.
Mr. Wilder described it as "one of my favorite systems because it squeezes more profit out of an intermediate move than any method I know" .
Interpretation
PSAR follows price and can be considered a trend following indicator. Once a downtrend reverses and starts up, PSAR follows prices like a trailing stop. Same is true for the opposite direction.
Due to its nature, PSAR continuosly protects on long and short positions.
Parameters
One of the key components of PSAR is the Acceleration Factor (AF). The AF is one of a progression of numbers beginning at 0.02 and ending at 0.2 . The AF is increased by the increment of 0.02 each time that a new high is made until a value of 0.2 is reached.
Mr. Wilder used the next parameters
Start: 0.02
Increment: 0.02
Maximum: 0.2
and they are default for the built-in PSAR indicator and its strategy.
But are these params really profitable? Mr. Wilder noticed that "I have tried many different acceleration factors on this system and have found that a consistent increase of 0.02 works best overall...the range for the incremental increase is between 0.018 and 0.021 " .
That was then, in 1978. Other times have come. Is our grandpa still right in his recommendations?
I made this tool to figure it out.
What is this tool?
This tool is a performance scanner that uses a decision tree-based algorithm under the hood to find the most profitable settings for PSAR. It analyzes a bunch of different Start (between 0.001 to 0.02 ) and Increment (between 0.001 to 0.03 ) parameters and backtests each combination across the entire history of an instrument. If the more profitable parameters were found, the indicator will switch its values to the found ones immediately.
Instead of manually selecting parameters, just relax - the algorithm will do it for you.
It doesn't touch the last parameter, Maximum , for two reasons.
First, as Mr. Wilder noticed in his book, "...the number of increases it takes to reach at least 0.2 , but do not exceed 0.22 " . That is, the parameter sits in a very narrow range.
Second, I tested different maximums and I came to the conclusion that this parameter has a minimal impact on net profit, compared with the more significant parameters of start and increment.
Alerts
It has an alert that notifies when the more profitable settings were detected.
NOTE : It does not change what has already been plotted.
Good luck!
Profitable SMA CrossoverWhat is this tool?
This tool is a performance scanner of the crossover trading system that is based on the two simple moving averages (SMA). It uses a decision tree-based algorithm under the hood to find and plot the most profitable periods of the SMA combination.
It analyzes the range of periods between 4 to 45 and backtests each combination across the entire history of an instrument. If the more profitable periods were detected the indicator will switch periods of the moving averages immediately.
This is an add-on for the Ingenious SMA Crossover but can be used standalone.
Alerts
It has an alert that notifies when the more profitable periods were detected.
NOTE : It does not change what has already been plotted.
Good luck!
Ingenious SMA CrossoverIntroduction
A popular use for moving averages is to develop simple trading systems based on moving average crossovers. A trading system using two moving averages would give a buy signal when the shorter (faster) moving average advances above the longer (slower) moving average. A sell signal would be given when the shorter moving average crosses below the longer moving average. The speed of the systems and the number of signals generated will depend on the period of the moving averages.
What is this tool?
This tool is a crossover system of two simple moving averages. I called it "Ingenious" because it uses a decision tree-based algorithm under the hood to find and plot the most profitable SMA combination.
It analyzes the range of periods between 4 to 45 and backtests each combination across the entire history of an instrument. If the more profitable periods were detected the indicator will switch periods of the moving averages to the found ones immediately.
NOTE : It does not change what has already been plotted.
Good luck!
Profitable Vortex Indicator ScannerIntroduction
The Vortex Indicator is a technical indicator invented by Etienne Botes and Douglas Siepman (Technical Analysis of Stocks & Commodities, V.28:1 (January, 2010): "The Vortex Indicator") to identify the start of a new trend or the continuation of an existing trend within financial markets.
It is composed of two lines, +VI and -VI . +VI represents up trending momentum and -VI represents down trending momentum.
The most basic strategy is to use the crossovers as trade signals:
when +VI crosses above -VI , go Long
when -VI crosses above +VI , go Short
Exit when a crossover occurs in the opposite direction
What is this tool?
This tool is a performance scanner that uses a decision tree-based algorithm under the hood to find the most profitable period's setting for the indicator. It analyzes the range of periods between 2 to 100 and backtests the Vortex Indicator for each period using the strategy mentioned above across the entire history of an instrument.
Settings
Net Profit line is optional and can be hidden through settings.
Alerts
It has an alert that notifies when a more profitable period was detected.
NOTE : It does not change what has already been plotted.
Good luck!