Dankland Playground Moneymaker - V2“version 2” of my playground bot script. Its essentially a powerhouse suite of strategies. Although it is similar to the previous script, it nets different results as sections have been changed. Such as the somewhat reluctant removal of the Chande Momentum... The RSIs have also been updated, this was one of the main changes. RSIS now include a Moving Average cross of RSI to generate signals above and below the given thresholds instead of simply on crossing a threshold. This should give greater functionality overall. Most functions including Moving Averages have been updated to include a wider range of kinds of moving averages. This includes not just the moving average cross, but MACD and RSIs as well. I tried to perform the same upgrade on the %B, Stochastics and SMI, but hit the unpacked code limit of 60,000 lines... So, more “versions” will have to come for future “upgrades”, with the recognition that there will be cases where the old, “downgraded” versions may perform better and that some people (like myself) may continue to use them on some markets until I/we devise superior settings on the new ones for said markets. For instance, instead of replacing my 1 hr BTCUSD bot (where I used the now deleted Chande to pretty pleasing affect...) I made a new one for LINKUSD 10 min so I can have both running for now and work on replacing the BTCUSD later.
How it works basically is this... you have 16 oscillators which can all be used as independently as you wish. They can be split up into different groups or ran all together.
When in separate groups they should not be able to sell eachothers positions without triggering a full stop loss by turning the Independence/Stop All switches on. Every single oscillator has its own entry and exit position sizing which can be stated as either a percent of balance or a flat amount of contracts (or both combined). Each oscillator has a minimum amount of profit you can tell it to sell it, which is calculated from the average cost of your current position, which does include all groups. This works out to help you average out better entry and exit prices, essentially a method of DCAing.
You can set the minimum sale amount, which is to keep it from placing orders below your exchanges minimum dollar trade cost.
All this functionality combined also ensures more accurate back tests by ensuring that the script simply cannot spend money it doesn't see as in the balance, whereas other scripts will use a percentage of equity, and once 100% of your equity is in BTC for instance, it will keep buying more BTC for free and thus spoof up backtest numbers. If you look through the strategies here, many people claim to have amazing scripts and then you look into it and this is happening and skewing their numbers. These people are either very ignorant or what they made or scam artists and trolls in my opinion.
This version also includes On Bar Close switches for each oscillator. When switched on, signals are only allowed to generate on Bar Close. This helps to prevent retriggering from live signals, which when you are running this many oscillators, will become a problem! However, in most cases, you do not need to generate signals intrabar, as backtests will show, ignoring intrabar buys and sells (intrabar stop losses can still be very important though!) won't exactly keep you from high profitability strategies, but rather, allowing elements of chaos from live indicators moving up and down intrabar will, in fact, drift your actual results further and further from the backtest. You want an accurate backtest though. So choose wisely when you turn these off and you will do better.
The included oscillators are as follows:
NO MORE Chande Momentum cross – REMOVED – I was hitting PINE code limits here so I had to make choices and this one simply had to go. Begone!
Moving Average Cross
MACD cross
%B Bollinger cross
Stochastic cross + region filter
Stochastic RSI cross + region filter
SMII cross and region filter
Three RMIs
Know-Sure-Thing line-cross
Coppock Curve line-cross
TRIX line-cross
RSI of MA w/ MA cross
RSI of MA of KST w/ MA cross
RSI of MA of Coppock Curve w/ MA cross
RSI of MA of Trix w/ MA cross
So the idea is that this is essentially multiple strategies combined into one backtestable house. Balance is calculated for all position sizes in order to try to prevent false entries that plague so many scripts (IE, you set pyramiding to 2, each buy $1000, initial balance $1000, and yet it buys two orders off the bat for $2000 total and nets 400% profit because the second was considered free, happens on 90+% of scripts on Tradingview if you aren't very very careful!)
You tune each indicator and position size them so that they work together as well as you can and in doing so you are able to create a single backtest that is capable of running a bot, essentially, between multiple strategies - you can run a slower Moving Average cross, a faster SMI cross or MACD , or Bollinger that grabs big moves only, all the while having MACD trade small bonuses along the way. This way you can weight the Risk to Reward of each against eachother.
I will not try to claim this is something you can open and with no work have the best bot on the planet. This scripts intention is to take a lot of relatively common trading strategies and combine them under on roof with some risk management and the ability to weigh each against eachother.
If you are looking for a super advanced singular algorithm that tries to capture every peak and valley exactly on the dot, this is not for you. If you are looking for a tool with a high level of customizability, with a publisher who intends to update it to the best of his ability in accordance to seeking to make the best product that I personally can make for both myself and the community (because I will be using this myself of course!) that was specifically designed with the intention of performing well in spot markets by averaging low entry costs and high exit costs, this is for you! That is the exact intention here. It can certainly work with margin, but you will have to take extra care in setting your stop losses. I intend to make a version capable of going short which will be included as part of the package. It may take some work to keep all of the risk management working as well for shorts though. There will be more scripts added to the “package” as I hit the limit on this one a few times and have had to keep some ideas out already.
The current backtest shown is hand-optimized by myself for Link /USD 10min market (Binance US – shouldn't need much work to fit to other exchange markets) with multiple stop losses.
M-oscillator
cRSI + Waves Strategy with VWMA overlay + sessions and order qtyThis is a fork of the cRSI + Waves Strategy with VWMA overlay strategy by Dr_Roboto , which adds two additional features, namely:
the ability to limit trade signals to certain defined periods of time ("Sessions") during the trading day and, optionally, to close any open position at the end of either or both "Sessions"
the ability to control the maximum order size suggested by the strategy on the "Inputs" tab of the strategy's "Settings" window
If you are trading on a daily chart (or longer) you must disable the Limit Signals to Trading Sessions? option in order for the strategy to produce signals.
All other features are identical to the original strategy (revision 2.0).
Jaws Mean Reversion [Strategy]This very simple strategy is an implementation of PJ Sutherlands' Jaws Mean reversion algorithm. It simply buys when a small moving average period (e.g. 2) is below
a longer moving average period (e.g. 5) by a certain percentage and closes when the small period average crosses over the longer moving average.
If you are going to use this, you may wish to apply this to a range of investment assets using a screener for setups, as the amount signals are low. Alternatively, you may wish to tweak the settings to provide more signals.
Context can be found here:
LINK
Wave Trend w/ VWMA overlayThis is a trend-following strategy and indicator which combines the Wave Trend Strategy (Lazy Bear) by thomas.gigure with the cRSI + Waves Strategy with VWMA overlay by Dr_Roboto .
You may update the parameters of the Wave Trend oscillator or the VWMA indicator to match your own preferences. You may also adjust the Base Quantity used for determining trade size (as described below) to suit your account size and risk tolerance.
The strategy identifies potential signals based on the on the Wave Trend oscillator, originally ported to TradingView by LazyBear. When a signal is produced by the Wave Trend oscillator, trade size is determined by the VWMA.
When the VWMA is trending against the direction of the Wave Trend signal, Base Quantity x 1 is used
When the VWMA is trending neutral, Base Quantity x 2 is used
When the VWMA is trending with the direction of the Wave Trend signal, Base Quantity x 4 is used
The strategy includes the ability to limit trade signals to certain defined periods of time ("Sessions") during the trading day and, optionally, to close any open position at the end of either or both "Sessions." This may be enabled/disabled via the Limit Signals to Trading Sessions? option on the "Inputs" tab of the strategy's "Settings" window.
If you are trading on a daily chart (or longer) you must disable the Limit Signals to Trading Sessions? in order for the strategy to produce signals.
Sentiment OscillatorPrice moves when there are more market takers than there are market makers at a certain price (i.e. price moves up when there are more market buys than limit sells and vice versa). The idea of this indicator is to show the ratio between market takers and market makers in a way that is intuitive to technical analysis methods, and hopefully revealing the overall sentiment of the market in doing so. You can use it in the same way you would other oscillators (histogram crossing zero, divergences, etc). The main difference between this and most volume-weighted indicators is that the price is divided by volume instead of multiplied by it, thus giving you a rough idea of how much "effort" it took to move the price. My hypothesis is that when more volume is needed to move the price, that means bulls and bears are not in agreement of what the "fair price" should be for an asset (e.g. if the candle closes only a bit higher than its open but there's a huge spike in volume, that tells you that a majority of the market are starting to think the price is too high and they've started selling).
Methods of Calculation
1. Price Change Per Volume
The main method this indicator uses to reveal market sentiment is by comparing price change to the volume of trades in a bar.
You will see this calculation plotted in its most basic form by ticking the "Show Bar per Bar Change/Volume" box in the inputs dialog. I personally found that the plots were too noisy and cannot be used in real time reliably due to the fact that there is not much volume at the open of a new bar. I decided to leave in the option to use this method, in case you'd like to experiment with it or get a better grasp of how the indicator works.
2. Exponential Moving Averages
In my quest to smooth out the plotted data, I experimented with exponential moving averages. Applying an EMA on the change per volume data did smooth it out a bit, but still left in a lot of noise. So I worked around it by applying the EMA to the price change first, and then dividing it by the EMA of the volume. The term I use for the result of this calculation is "Market Sentiment" (do let me know if you have a better-fitting term for it ;-)), and I have kept it as an option that you can use in the way you would use other oscillators like CMF, OBV, etc. This option is unticked by default.
3. MACD
I left "Market Sentiment" unchecked as the default option because I thought an easier way to use this indicator would be as a momentum indicator like the MACD . So that's what I turned it into! I applied another EMA on the Market Sentiment, added a slower EMA to subtract from the first, and now we have a MACD line. I added a signal line to subtract from the MACD , and the result is plotted as a histogram... ish . I used area instead of columns for plot style so you don't get confused when comparing with a regular MACD indicator, but you can always change it if an actual histogram is more your taste.
The "histogram" is the main gauge of sentiment change momentum and it is easiest to use, that is why it is the only calculation plotted by default.
Methods of Use
As I have mentioned before, you can use this as you would other oscillators.
-The easiest way to use this indicator is with the Momentum histogram, where crosses over 0 indicate increasing bullish sentiment, and crosses below 0 indicate increasing bearish sentiment. You may also spot occasional divergences with the histogram.
-For the Market Sentiment option, the easiest way to use it is to look for divergences.
-And if you use the "Price Change per Volume of Each Bar", well... I honestly don't know. I guess divergences would be apparent towards the close of a bar, but in realtime, I don't recommend you use this. Maybe if you'd like to study the market movement, looking at historical data and comparing price, volume , and Change per Volume of each bar would come in handy in a pseudo-tape-reading kind of way.
Anyway, that's my explanation of this indicator. The default values were tested on BTC/USDT (Binance) 4h with decent results. You'll have to adjust the parameters for different markets and timeframes.
I have published this as a strategy so you can test out how the indicator performs as you're tweaking the parameters.
I'm aware that the code might not be the cleanest as I have only started learning pine (and code in general) for about a month, so any suggestions to improve the script would be appreciated!
Good luck and happy trading :-)
Simple way to BEAT the market [STRATEGY]This script has been created to demonstrate the effectiveness of using market regime filters in your trading strategy, and how they can improve your returns and lower your drawdowns
This strategy adds a simple filter (A historical volatility percentile filter, an implementation of which can be found on my trading profile) to a traditional buy and hold strategy of the index SPY.
Note, There are other filters that could also be added including a long-term moving average/percentile rank filter/ADX filter etc, to improve the returns further.
The filter closes our long position during periods of volatility that exceed the 95th percentile (or in the top 5% of volatile days) and buys back when the volatility is below 95% rank of the past 100 days
Have included the backtest results since 1993 which is 28 years of data at the time of writing. Comparison of traditional buy and hold with this modified strategy can be found below:
Traditional buy and hold:
Return per year: 7.95 % (ex Dividends)
Total return: 851.1 %
Max drawdown: 50.79 %
'Modified' buy and hold (this script):
Return per year: 9.92 % (ex Dividends)
Total return: 1412.2 %
Max drawdown: 31.57 %
Feel free to use some of the market filters in my trading profile to improve and refine your strategies further, or make a copy and play around with the code yourself. This is just a simple example for demo purposes.
Strategy - DMI Indicator with DPO Indicator as a GuardThe Directional Movement Index Indicator is one of my favorite indicators in tradingview's built-in library. It is free to use for all
For more information on what the DMI is, please visit: www.tradingview.com
The only problem I've come across with the DMI is that when it hits a 'trade range zone' it triggers false new trends (this is the case with almost every indicator I've ever tested).
This script modifies the DMI by removing the need for the ADX logic. It only focuses on the +DI and the -DI.
In order to remove the 'noise' generated during a trade range zone I have added another powerful indicator called the Detrended Price Oscillator.
The DPO is also a 'built-in' indicator on tradingview. www.tradingview.com
The DPO is used in conjunction with the DMI to stop trade ranges from wrecking your profits.
This strategy logic simply checks for the DMI indicator to cross itself. If the +DI crosses over the -DI this is a bullish cross and visa versa, if the -DI crosses over the +DI then it could mean bearish sentiment is building.
But then strategy logic uses the DPO to check if the DPO is above 0 or below 0 value
If the +DI crosses over the -DI and the DPO is above 0 value, then it's a Long entry point.
However, if the +DI crosses over the -DI and the DPO is below 0 value, then the Long signal is void.
And visa versa, if the -DI crosses over the +DI and the DPO is below 0 value, then it's a Short entry point (unless the DPO is greater than 0)
With this DPO 'guard' in place, it helps us keep the total trades executed to a minimum.
This is vital to push through trade ranges that can wreck your profit potential.
I wish I could create a better plotting mechanism for this indicator so you can better see the visuals. But combining the DMI to scale with the DPO is not possible.
The best solution is to simply add another DMI indicator to your chart so you can compare the DMI to this script that is dominated by the DPO (yellow line).
Enjoy! Likes are much appreciated!
DRSI DMA Scalping Strategy No RepaintThis strategy compares the slope of a Moving Average (of your choosing) to the slope of a Momentum Indicator (of your choosing). Zero is the center line because 0 slope means sideways movement. When both lines cross your buy threshold, it buys. When both lines cross your Sell threshold, it sells. The lines may look choppy, but that is probably because it is referencing a different timeframe than what the chart is set to. I left as many settings adjustable by the user as possible so you can tune this strategy to the relative behavior of whatever you are trading.
This also includes a No Repaint function so the backtest should be as close to live trading as possible.
Combo Backtest 123 Reversal & Psychological line This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
Psychological line (PSY), as an indicator, is the ratio of the number of
rising periods over the total number of periods. It reflects the buying
power in relation to the selling power.
If PSY is above 50%, it indicates that buyers are in control. Likewise,
if it is below 50%, it indicates the sellers are in control. If the PSY
moves along the 50% area, it indicates balance between the buyers and
sellers and therefore there is no direction movement for the market.
WARNING:
- For purpose educate only
Jigga - Heatmap ComparisionHi All,
I always have a question on how to know which sector is performing. I have created this Heatmap comparison to know strength of sector.
I have used RSI and MACD calculation and put it across 5 different index. Color shows bullishness and Gray shows weakness.
You can select RSI or MACD or Both to have calculation. And you can also compare stocks if you want.
Note: Use it for Medium / Long term investment. Can not be use for Intraday.
Happy investing !!
Multiband - Market TimerThis strategy is made for market timing in the bull markets. Hence, more ideal to use it with index ETFs or high conviction large caps.
This makes use of different custom indicators:
Multi Band Channel - Overbought/Oversold Oscillator
VixFix Linear regression
Regular Linear Regression.
Multi Band Oscillator is used for identifying overbought/oversold state of the instrument. This is used in conjunction with VIXFix Linear Regression to to find market bottoms for entry conditions.
Few parameters are explained below:
CheckBandDistance - If checked checks for narrow bands and ignore signals when crossover happens in narrow bands.
ConsiderOversoldDaysCounter/ConsiderOverboughtDaysCounter - If checked, considers oversold and overbought crossovers only if instrument stays in oversold/overbought state for that many bars.
UseLinearRegressionToOpen/UseLinearRegressionToClose - If checked, combines linear regression along with overbought/oversold condition for entry and exits.
UseVixFixToOpen - Uses VixFixLinear regression to identify market bottom and this condition will be combined with oversold/overbought state. When using VixFixLinearRegression signal, we can allow generating entry signals during non crossover bars. Vix Fix Entry Range sets the max bar for multi band state to be for generating signal. For example, if Vix Fix Entry Range is set to oversold, signal is generated based on VixFix if price is below oversold.
ExitStrategy - This can be trailing/reversal or combined. If set to reversal, exit will happen on state moving out of oversold region. If set to Trailing, stop will be based on trailing stops. Indicator shows what is the present stop value. If set to combined, exit will happen on stages. 30% of the remaining position gets closed upon reversals. State may go into oversold and return back many times before having full exit. If this happens, each time, 30% of the position will be closed. Full position closure happens on hitting training stop.
Candles are colored based on linear regression.
Green -> positive and moving up
Lime -> Positive moving down
Orange -> Negative moving up
Red -> Negative moving down
Purple -> Possible VixFix peak - aka Market bottom
Another snapshot of the script along with Linear regression and VIXFix-LinReg indicators:
Related scripts are found here:
I have not put additional indicators to identify trend. But, can be combined with higher timeframe trend filters to generate better signals. Making this as invite only script as I find it very lucrative to time index ETFs. Please PM me if you want to try this script.
Linear RSIThis is an attempt to create a strategy based on the previous post. The strategy, as before, is based on the RSI, which is calculated using linear regression, but with the addition of EMA. The crossing of EMA and RSI is a buy and sell signal. There are also two functions to buy (because I haven't decided which is really better), so please use checkbox to order which one you would like to use.
High Low Reversal This bot makes use of an algorithm which detects new highs and lows. When doing long trades, the bot will trigger a buy order on a newly made low. When making shorts, the bot will trigger a short trade on new highs.
Currently, the bot is optimized for cryptocurrencies on the M15 time frame. With the right amount of leverage and portfolio optimization this bot can obtain very strong results.
Feel free to optimize it to your own liking on different assets and/or time frames.
This bot performs exceptionally well in trending markets. Currently, it's only making long trades, but you can make it do short trades in the control panel.
The settings of the back test as follows:
starting capital = 100k
leverage = 1
commission = 0.2%
Equity per trade = 50%. Since the bot only makes one trade at a time you can allow it to use a bigger portion of your balance per trade.
I've also made a study-script for easy implementation on the exchange. You get that script once you get access to this bot.
Combo Backtest 123 Reversal & Prime Number Oscillator This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
Determining market trends has become a science even though a high number or people
still believe it’s a gambling game. Mathematicians, technicians, brokers and investors
have worked together in developing quite several indicators to help them better understand
and forecast market movements.
Developed by Modulus Financial Engineering Inc., the prime number oscillator indicates the
nearest prime number, be it at the top or the bottom of the series, and outlines the
difference between that prime number and the respective series.
WARNING:
- For purpose educate only
- This script to change bars colors.
Wolfpack ID Strategy with Multi TimeFrame by KrisWatersThis strategy based on wolfpack id (M) indicator authored by darrellfischer1.
Long Conditions:
Primary trend is bullish (color is green)
Secondary trend is bullish (color is green)
Minor trend (chart interval) crossover the green (bullish)
Short Conditions:
Primary trend is bearish (color is green)
Secondary trend is bearish (color is green)
Minor trend (chart interval) crossover the red (bullish)
I used primary trend interval as a 1 Week, secondary trend interval is 1 Day and chart interval is in 24 Minute.
BB+RSI+OBVI use Bolinger Band and RSI and OBV
when Bolinger band midline cross and rsi is bigger than 50 and obv is going up i wrote this strategy to test this strategy
Combo Backtest 123 Reversal & Prime Number Bands This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
Determining market trends has become a science even though a high number
or people still believe it’s a gambling game. Mathematicians, technicians,
brokers and investors have worked together in developing quite several
indicators to help them better understand and forecast market movements.
The Prime Number Bands indicator was developed by Modulus Financial Engineering
Inc. This indicator is charted by indentifying the highest and lowest prime number
in the neighborhood and plotting the two series as a band.
WARNING:
- For purpose educate only
- This script to change bars colors.
Combo Backtest 123 Reversal & Positive Volume Index This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
The theory behind the indexes is as follows: On days of increasing volume,
you can expect prices to increase, and on days of decreasing volume, you can
expect prices to decrease. This goes with the idea of the market being in-gear
and out-of-gear. Both PVI and NVI work in similar fashions: Both are a running
cumulative of values, which means you either keep adding or subtracting price
rate of change each day to the previous day`s sum. In the case of PVI, if today`s
volume is less than yesterday`s, don`t add anything; if today`s volume is greater,
then add today`s price rate of change. For NVI, add today`s price rate of change
only if today`s volume is less than yesterday`s.
WARNING:
- For purpose educate only
- This script to change bars colors.
Combo Backtest 123 Reversal & Pivot Point V2 This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
Pivot points simply took the high, low, and closing price from the previous period and
divided by 3 to find the pivot. From this pivot, traders would then base their
calculations for three support, and three resistance levels. The calculation for the most
basic flavor of pivot points, known as ‘floor-trader pivots’, along with their support and
resistance levels.
WARNING:
- For purpose educate only
- This script to change bars colors.
Combo Backtest 123 Reversal & Pivot Detector Oscillator Copyright by HPotter v1.0 20/04/2021
This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
The Pivot Detector Oscillator, by Giorgos E. Siligardos
The related article is copyrighted material from Stocks & Commodities 2009 Sep
WARNING:
- For purpose educate only
- This script to change bars colors.
Stochastic TrendDear community,
I've made another simple trading bot for you to use. This bot is based on the Stochastic Oscillator. It only produces long trades currently.
I changed the oscillation period to a much longer one, which in turn creates opportunities to trade long term trends.
The bot goes long when the Entry lines is crossed from below and it will close its long position once the Exit line has been crossed from above.
Combo Backtest 123 Reversal & PFE (Polarized Fractal Efficiency) This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
The Polarized Fractal Efficiency (PFE) indicator measures the efficiency
of price movements by drawing on concepts from fractal geometry and chaos
theory. The more linear and efficient the price movement, the shorter the
distance the prices must travel between two points and thus the more efficient
the price movement.
WARNING:
- For purpose educate only
- This script to change bars colors.
Combo Backtest 123 Reversal & Perfomance indexThis is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
The Performance indicator or a more familiar term, KPI (key performance indicator),
is an industry term that measures the performance. Generally used by organizations,
they determine whether the company is successful or not, and the degree of success.
It is used on a business’ different levels, to quantify the progress or regress of a
department, of an employee or even of a certain program or activity. For a manager
it’s extremely important to determine which KPIs are relevant for his activity, and
what is important almost always depends on which department he wants to measure the
performance for. So the indicators set for the financial team will be different than
the ones for the marketing department and so on.
Similar to the KPIs companies use to measure their performance on a monthly, quarterly
and yearly basis, the stock market makes use of a performance indicator as well, although
on the market, the performance index is calculated on a daily basis. The stock market
performance indicates the direction of the stock market as a whole, or of a specific stock
and gives traders an overall impression over the future security prices, helping them decide
the best move. A change in the indicator gives information about future trends a stock could
adopt, information about a sector or even on the whole economy. The financial sector is the
most relevant department of the economy and the indicators provide information on its overall
health, so when a stock price moves upwards, the indicators are a signal of good news. On the
other hand, if the price of a particular stock decreases, that is because bad news about its
performance are out and they generate negative signals to the market, causing the price to go
downwards. One could state that the movement of the security prices and consequently, the movement
of the indicators are an overall evaluation of a country’s economic trend.
WARNING:
- For purpose educate only
- This script to change bars colors.
