10X Market DirectionMy interpretation of John Carter's popular Simpler Trading 10X Bars indicator. Now you can see directional market strength for a variety of key futures , indices and industry groups for quick comparison with individual stocks.
Momentum is displayed to quickly see the quality and strength of a trend based on a calculation of the Directional Movement Index (DMI). The DMI is an indicator developed by J. Welles Wilder in 1978 that identifies in which direction the price of an asset is moving. The DMI is calculated by comparing prior highs and lows and produces 2 measurements illustrating the strength of the current trend:
-> a positive directional movement line ( +DI ); and
-> a negative directional movement line ( -DI ).
The average directional index ( ADX ) measures the strength of the current trend, either +DI or +DI ; a reading above 20 typically indicates a strong trend.
-> Green bars indicate an uptrend i.e. when +DI is above -DI and ADX is greater than 20 - there is more upward pressure than downward pressure in the price;
-> Red bars indicate a downtrend i.e. when -DI is above +DI and ADX is greater than 20 - there is more downward pressure on the price; and
-> Yellow bars indicate no strong directional trend and potential for a reversal.
This indicator should compliment other popular indicators, as confirmation whether to stay in a position or not.
在腳本中搜尋"Futures"
Combo Backtest 123 Reversal & TEMA1This 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
This study plots the TEMA1 indicator. TEMA1 ia s triple MA (Moving Average),
and is calculated as 3*MA - (3*MA(MA)) + (MA(MA(MA)))
WARNING:
- For purpose educate only
- This script to change bars colors.
Baekdoo compressed multi EMA box and its crossover indicatorHi forks,
I'm trader Baekdoosan who trading Equity from South Korea. This Baekdoo compressed multi EMA box and its crossover indicator tells us good trading time for swing trading.
Here is the idea. As you can see formula, I put ema of 5 days to 100 days.
and draw box when all disparity of the EMAs are less than 5%
I put those value in input variable as 105 (100 means same as max/min disparity ratio, 105 means max is 5% greater than min). This can be used 110 (10% of box) based on your needs.
Once box are drew, I put indicator when it crossover the box with 5 times larger than 60 days' highest volume. Then I put triangle indicator. This will be good trading point for short-mid term trading. you can check historical chart to evaluate this.
Hope this will help your trading on equity as well as crypto. I didn't try it on futures . Best of luck all of you. Gazua~!
EneX SignalEneX is signal that give recommendation signals for entry and exit on spot market. This indicators not suitable for leverage trading in futures market.
EneX signal consider several indicators and has entry and exit rules.
EneX signal is suitable for investors who believe in trend following strategy (disclaimer on).
This script composed by Yohan Naftali for educational purpose only. Reader who will use this signal must do own research.
Indicator and Plot Involved
1. Williams Fractals with default periods = 2
2. William Alligator Indicators with default simple moving average 8, 13, and 21
3. Exponential Moving Averages with default value EMA 50, 100, and 200
4. Relative Strength Index with default overbought level = 80 and oversold level = 20
5. Williams Fractals are joined to create support and resistance line and fill area between support and resistance lines.
Entry signal conditions
1. Entry on Weakness when bullish fractal appear on n/2 period
2. Entry when price break resistance line
All entry condition must above EMA and alligator signal and not in overbought RSI
Exit signal conditions
1. Lowest price is below Exponential Moving Average
2. Lowest price is below William alligator lines
You can easily find entry and exit points by using Entry (E), Exit(X) signals
How to use
1. Monitor chart and wait until E or X signals
2. Entry if Entry Signal (E) appear (green colored label)
3. Exit if Exit Signal (X) appear (red colored label)
4. Change indicators setting when necessary
Best Practice
1. Entry only when entry signal (E) appear
2. Never entry when price below William alligator signal
3. Exit when exit signal (X) appear
4. Not exit when exit signal appear when you believe or you have information that price will be rebound
5. Exit if you believe that current price meet your target price
6. Always wise when use EneX signals
Disclaimer
Do your own research and consider fundamental price of asset.
The indicators provided on this script is for educational purposes only.
Author does not offer advisory or brokerage services, nor does it recommend or advise users to buy or sell particular stocks or securities.
Please examined script and give feedback for further improvement.
Ehlers Stochastic Relative Vigor Index [CC]The Stochastic Relative Vigor Index was created by John Ehlers (Cybernetic Analysis For Stocks And Futures pgs 84-89) and this of course is very similar to the Ehlers Fisher Stochastic Relative Vigor Index I just published. In hindsight I probably should have published this one first but just like with the other script this is a stochastic version of a Relative Vigor Index and I added some smoothing to make buy and sell signals clearer. There are several ways to identify buy and sell signals but generally in the long term it is a buy signal when the indicator is below the oversold line and is moving up and in the short term when the indicator is above it's trigger line which is what I coded the buy and sell signals to follow. Buy when the line is green and sell when it turns red.
Let me know if there are any other scripts you would like to see me publish!
Beakdoo swing trading boxHi forks,
I'm trader Baekdoosan who trading Equity from South Korea. This Baekdoo swing trading box indicate good buying position when it crossover the box.
Here's the ideas
1. It needs to crossover 1 month highest value and higher than 5 ema and 20 ema line
2. It also needs to crossover 1 month volume as well
3. Once 1,2 soaring candle emerge, it needs to correction time
4. 5 ema or 20 ema or center candle's 2/3 point x 0.95 (5% lower) would be the resistant line
5. center candle's 2/3 point line would be the buying point (you may can trade when it cross over
you can check above example chart and take a look what you have interested in.
hope this will help your trading on equity as well as crypto. I didn't try it on futures . Best of luck all of you. Gazua~!
Ehlers Fisher Stochastic Relative Vigor Index [CC]The Fisher Stochastic Relative Vigor Index was created by John Ehlers (Cybernetic Analysis For Stocks And Futures pgs 101-104) and this is a many layered indicator created from his original Relative Vigor Index turned into a stochastic and then performing a Fisher transform on the results. I have included extra smoothing to provide clearer buy and sell signals as well as normal and strong buy and sell signals. As always strong signals are darker in color and normal signals are lighter in color. Buy when the line turns green and sell when it turns red.
Let me know if there are any other scripts you would like to see me publish!
Durango - Mr YenDo you short too soon ? or go long too early ?
Well Durango chart provides traders with direction !
It is best used to guide the trader's decision whether to short or long as the Keltner channels multipliers indicate extreme oversold or overbaught conditions.
The source of this indicator is the trader Brian Watt specialized in trading the S&P500, where he talks about this indicator as the GOAT (greatest of all times) on his youtube channel. So it's well suited for trading index futures, but might as well work for stocks, you have to ajust the parameters and backtest.
The channel multipliers depend on the underlying instrument to trade, you must ajust and fine tune it for every instrument. For NQ for example, 3.1, 9.1 and 18 seems to work fine.
This is the first draft, in the next updates I'll be adding seperate mulipliers for upper and lower channels, to give traders better fine tuning capability.
Trade Safe guys !
FTX Futures Premium % JZFTX (perp - spot)/spot *100. Can change asset in settings. Have drawn in some levels of interest
Confluence CandlesThis indicator looks for confluence among three indicators (RSI, Stochastic, and MACD), a strategy popularized by Markus Heitkoetter in his book, “The PowerX Strategy: How to Trade Stocks and Options in Only 15 Minutes a Day”, and expands it to look for agreement on up to four symbols.
Each indicator is configurable in the settings, as well as the ability to choose which of the indicators are used.
Default Logic
Green Candles
RSI > 50
Stochastic > 50
MACD Histogram > 0
Red Candles
RSI < 50
Stochastic < 50
MACD Histogram < 0
When multiple symbols are selected, the above needs to be true for all selected symbols.
Example Use Cases
- Setting the indicator to the Nasdaq 100 (QQQ or NQ1!) while trading a stock that is part of that index such as AAPL or TSLA
- Setting the indicator to multiple indexes that tend to move together in order to trade one of them since they tend to make stronger moves when moving together (ex. SPY & QQQ, or ES1! & NQ1!)
- Setting the indicator to Bitcoin while trading a smaller crypto pair that moves as a sympathy play.
Tip
If you have trouble finding the full name for a specific instrument from an exchange such as BTCUSD from Coinbase, you can bring up TradingView’s “Symbol Search” pop-up modal, enter your search term, use the down arrow key on your keyboard to move the focus to the symbol you want, and you will see the full name in the search field such as “COINBASE:BTCUSD”.
Baekdoo golden diamond signalHi forks,
I'm trader Baekdoosan who trading Equity from South Korea. This Baekdoo golden Diamond signal indicate good buying position to trade.
Here's the ideas
1. Soaring volume happen with big white candle.
a. Soaring volume can be measured for highest volume in certain period of time (default value is for 1 year). (blue area)
b. Soaring volume can also be measured by 10% of certain period of time(default value is for 1 year)'s cumulative volume . (green area) => you can adjust this ratio input. the higher value is the more likely to trail of whale
2. Drops under 5 days lowest price without volume . (red area) => I put half of average volume as default but you may can adjust it (the lower value is the more likely to soar again)
3. cross over 5 days highest price after 1, 2 conditions => Golden Diamond
underneath of this idea is, big chunk of the money comes and correction is on going but major whale's amount hold tight.
you can modify input values based on your investigation. It works well on day chart as well as minute chart. for the area with breaks plots are to checking the 1,2 conditions. so for final indicator will only be shown from this indicator but you can select plots if you think that is useful.
hope this will help your trading on equity as well as crypto. I didn't try it on futures . Best of luck all of you. Gazua~!
vol_premiaThis script shows the volatility risk premium for several instruments. The premium is simply "IV30 - RV20". Although Tradingview doesn't provide options prices, CBOE publishes 30-day implied volatilities for many instruments (most of which are VIX variations). CBOE calculates these in a standard way, weighting at- and out-of-the-money IVs for options that expire in 30 days, on average. For realized volatility, I used the standard deviation of log returns. Since there are twenty trading periods in 30 calendar days, IV30 can be compared to RV20. The "premium" is the difference, which reflects market participants' expectation for how much upcoming volatility will over- or under-shoot recent volatility.
The script loads pretty slow since there are lots of symbols, so feel free to delete the ones you don't care about. Hopefully the code is straightforward enough. I won't list the meaning of every symbols here, since I might change them later, but you can type them into tradingview for data, and read about their volatility index on CBOE's website. Some of the more well-known ones are:
ES: S&P futures, which I prefer to the SPX index). Its implied volatility is VIX.
USO: the oil ETF representing WTI future prices. Its IV is OVX.
GDX: the gold miner's ETF, which is usually more volatile than gold. Its IV is VXGDX.
FXI: a china ETF, whose volatility is VXFXI.
And so on. In addition to the premium, the "percentile" column shows where this premium ranks among the previous 252 trading days. 100 = the highest premium, 0 = the lowest premium.
Baekdoo Golden Diamond signalHi forks,
I'm trader Baekdoosan who trading Equity from South Korea. This Baekdoo golden Diamond signal indicate good buying position to trade.
Here's the ideas
1. Soaring volume happen with big white candle.
a. Soaring volume can be measured for highest volume in certain period of time (default value is for 1 year). (blue area)
b. Soaring volume can also be measured by 10% of certain period of time(default value is for 1 year)'s cumulative volume. (green area) => you can adjust this ratio input. the higher value is the more likely to trail of whale
2. Drops under 5 days lowest price without volume. (red area) => I put half of average volume as default but you may can adjust it (the lower value is the more likely to soar again)
3. cross over 5 days highest price after 1, 2 conditions => Golden Diamond
underneath of this idea is, big chunk of the money comes and correction is on going but major whale's amount hold tight.
you can modify input values based on your investigation. It works well on day chart as well as minute chart. for the area with breaks plots are to checking the 1,2 conditions. so for final indicator will only be shown from this indicator but you can select plots if you think that is useful.
hope this will help your trading on equity as well as crypto. I didn't try it on futures . Best of luck all of you. Gazua~!
Baekdoo ANGN for cryptocurrencyHi forks,
I'm trader Baekdoosan who trading Equity from South Korea. This Baekdoo ANGN indicator plot volume when large volume trading happened.
I made this indicator for Korea stock trading. I put bars for large amount of trading happened. Let's say 1% of their market cap, then we can regarded this as very big amount of trading is going on.
But those function that drag into the chart of market cap works only on stock. so I put them into hardcoded value.
you can freely change value (since I put the variable into input, you can modify based on your needs).
And adding ANGN (An-Na-Gan-Ni?, means "are you still there? in Korean")
line for upgrade version of On Balance Volume (OBV).
OBV is very good indicator but when it has long tail and short body, it can have wrong indication of buying or selling from big whales. So ANGN with large volume indicator combination would gives you better idea for the big brothers buying or selling tracker.
hope this will help your trading on equity as well as crypto. I didn't try it on futures . Best of luck all of you. Gazua~!
Volume X-ray [LucF]█ OVERVIEW
This tool analyzes the relative size of volume reported on intraday vs EOD (end of day) data feeds on historical bars. If you use volume data to make trading decisions, it can help you improve your understanding of its nature and quality, which is especially important if you trade on intraday timeframes.
I often mention, when discussing volume analysis, how it's important for traders to understand the volume data they are using: where it originates, what it includes and does not include. By helping you spot sizeable differences between volume reported on intraday and EOD data feeds for any given instrument, "Volume X-ray" can point you to instruments where you might want to research the causes of the difference.
█ CONCEPTS
The information used to build a chart's historical bars originates from data providers (exchanges, brokers, etc.) who often maintain distinct historical feeds for intraday and EOD timeframes. How volume data is assembled for intraday and EOD feeds varies with instruments, brokers and exchanges. Variations between the two feeds — or their absence — can be due to how instruments are traded in a particular sector and/or the volume reporting policy for the feeds you are using. Instruments from crypto and forex markets, for example, will often display similar volume on both feeds. Stocks will often display variations because block trades or other types of trades may not be included in their intraday volume data. Futures will also typically display variations. It is even possible that volume from different feeds may not be of the same nature, as you can get trade volume (market volume) on one feed and tick volume (transaction counts) on another. You will sometimes be able to find the details of what different feeds contain from the technical information provided by exchanges/brokers on their feeds. This is an example for the NASDAQ feeds . Once you determine which feeds you are using, you can look for the reporting specs for that feed. This is all research you will need to do on your own; "Volume X-ray" will not help you with that part.
You may elect to forego the deep dive in feed information and simply rely on the figure the indicator will calculate for the instruments you trade. One simple — and unproven — way to interpret "Volume X-ray" values is to infer that instruments with larger percentages of intraday/EOD volume ratios are more "democratic" because at intraday timeframes, you are seeing a greater proportion of the actual traded volume for the instrument. This could conceivably lead one to conclude that such volume data is more reliable than on an instrument where intraday volume accounts for only 3% of EOD volume, let's say.
Note that as intraday vs EOD variations exist for historical bars on some instruments, there will typically also be differences between the realtime feeds used on intraday vs 1D or greater timeframes for those same assets. Realtime reporting rules will often be different from historical feed reporting rules, so variations between realtime feeds will often be different from the variations between historical feeds for the same instrument. A deep dive in reporting rules will quickly reveal what a jungle they are for some instruments, yet it is the only way to really understand the volume information our charts display.
█ HOW TO USE IT
The script is very simple and has no inputs. Just add it to 1D charts and it will calculate the proportion of volume reported on the intraday feed over the EOD volume. The plots show the daily values for both volumes: the teal area is the EOD volume, the orange line is the intraday volume. A value representing the average, cumulative intraday/EOD volume percentage for the chart is displayed in the upper-right corner. Its background color changes with the percentage, with brightness levels proportional to the percentage for both the bull color (% >= 50) or the bear color (% < 50). When abnormal conditions are detected, such as missing volume of one kind or the other, a yellow background is used.
Daily and cumulative values are displayed in indicator values and the Data Window.
The indicator loads in a pane, but you can also use it in overlay mode by moving it on the chart with "Move to" in the script's "More" menu, and disabling the plot display from the "Settings/Style" tab.
█ LIMITATIONS
• The script will not run on timeframes >1D because it cannot produce useful values on them.
• The calculation of the cumulative average will vary on different intraday timeframes because of the varying number of days covered by the dataset.
Variations can also occur because of irregularities in reported volume data. That is the reason I recommend using it on 1D charts.
• The script only calculates on historical bars because in real time there is no distinction between intraday and EOD feeds.
• You will see plenty of special cases if you use the indicator on a variety of instruments:
• Some instruments have no intraday volume, while on others it's the opposite.
• Missing information will sometimes appear here and there on datasets.
• Some instruments have higher intraday than EOD volume.
Please do not ask me the reasons for these anomalies; it's your responsibility to find them. I supply a tool that will spot the anomalies for you — nothing more.
█ FOR PINE CODERS
• This script uses a little-known feature of request.security() , which allows us to specify `"1440"` for the `timeframe` argument.
When you do, data from the 1min intrabars of the historical intraday feed is aggregated over one day, as opposed to the usual EOD feed used with `"D"`.
• I use gaps on my request.security() calls. This is useful because at intraday timeframes I can cumulate non- na values only.
• I use fixnan() on some values. For those who don't know about it yet, it eliminates na values from a series, just like not using gaps will do in a request.security() call.
• I like how the new switch structure makes for more readable code than equivalent if structures.
• I wrote my script using the revised recommendations in the Style Guide from the Pine v5 User Manual.
• I use the new runtime.error() to throw an error when the script user tries to use a timeframe >1D.
Why? Because then, my request.security() calls would be returning values from the last 1D intrabar of the dilation of the, let's say, 1W chart bar.
This of course would be of no use whatsoever — and misleading. I encourage all Pine coders fetching HTF data to protect their script users in the same way.
As tool builders, it is our responsibility to shield unsuspecting users of our scripts from contexts where our calcs produce invalid results.
• While we're on the subject of accessing intrabar timeframes, I will add this to the intention of coders falling victim to what appears to be
a new misconception where the mere fact of using intrabar timeframes with request.security() is believed to provide some sort of edge.
This is a fallacy unless you are sending down functions specifically designed to mine values from request.security() 's intrabar context.
These coders do not seem to realize that:
• They are only retrieving information from the last intrabar of the chart bar.
• The already flawed behavior of their scripts on historical bars will not improve on realtime bars. It will actually worsen because in real time,
intrabars are not yet ordered sequentially as they are on historical bars.
• Alerts or strategy orders using intrabar information acquired through request.security() will be using flawed logic and data most of the time.
The situation reminds me of the mania where using Heikin-Ashi charts to backtest was all the rage because it produced magnificent — and flawed — results.
Trading is difficult enough when doing the right things; I hate to see traders infected by lethal beliefs.
Strive to sharpen your "herd immunity", as Lionel Shriver calls it. She also writes: "Be leery of orthodoxy. Hold back from shared cultural enthusiasms."
Be your own trader.
█ THANKS
This indicator would not exist without the invaluable insights from Tim, a member of the Pine team. Thanks Tim!
neutronix community bot ML + Alerts 4h-daily (mod. capissimo)Gm traders,
i have been a python programmer for some years studying artificial intelligence for general purpose; after some time i finally decided to have a look at some finance related stuff and scripts.
Moved by curiosity i've decided to make some but decisive modifications to a script i tried to use initially but without success: the LVQ machine learning strategy.
So after studying the charts and indicators, i have rewritten this script made by Capissimo and added heavy filtering thanks to vwap and vwma, then fixed repaint and other issues.
I hope you enjoy it and that it could increase your possibilities of success in trading.
HOW TO USE THE SCRIPT
Add the script to 3h+ charts like for example BTC 4h, 6h, 8h, 12h, daily. (In order for it to work on shorter timeframes charts you can try to change to lookback window but i dont advise it).
Change only rsi and volfilter(volume filtering) settings to try to find the best winrate. Leave dataset to open. Fyi the winrate isn't 100% accurate but can give you a raw vision of final results.
Use alerts included for trading and and in options click on 'Once per bar'. If you have checked 'Reverse Signals' in the control panel you have got more 'risky' signals so be advised if trading futures and stocks.
Exit trade signals not provided, so it is recommended the use of take profits and stop loss (1.5:1 ratio)
As always, the script is for study purposes. Do not risk more than you can spend!
Original LVQ-based strategy made by capissimo
Modified by gravisxv 13/10/2021
Baekdoo multi cumulative disparityHi forks,
I'm trader Baekdoosan who trading Equity from South Korea.
This Baekdoo multi cumulative disparity indicator is using disparity, relative position will be shown in one glimpse.
The idea is this.
1. make disparity function which value is 0 when it is equal to the value.
2. adding multiple disparity in many MA
3. keep track when it crossover 0, check that as buy position
This can be applied to day candle as well as minute candle.
hope this will help your trading on equity as well as crypto. I didn't try it on futures . Best of luck all of you. Gazua~!
Bitcoin - CME Futures Friday Close
This indicator displays the weekly Friday closing price according to the CME trading hours (Friday 4pm CT).
A horizontal line is displayed until the CME opens again on Sunday 5pm CT.
This indicator is based on the thesis, that during the weekend the Bitcoin price tends to mean reverse to the CME closing price of the prior Friday. The level can also act as support/resistance. This indicator gives a visualization of this key level for the relevant time window.
Furthermore the indicator helps to easily identify, if there is an up or down gap in the CME Bitcoin contract.
RSI OBLIVION This is a powerful tool if combined with other parameters. It's an advanced version of an RSI .
It shows OB and OS conditions and price direction or shift of the trend.
This indicator can be used in various ways with all markets.
The current settings are designed to work with futures market.
Combined with our TSI and Price action, RSI OBLIVION is the most reliable KPI out there.
Reached out to us for assistance.
Relative Volume (rVol), Better Volume, Average Volume ComparisonThis is the best version of relative volume you can find a claim which is based on the logical soundness of its calculation.
I have amalgamated various volume analysis into one synergistic script. I wasn't going to opensource it. But, as one of the lucky few winners of TradingClue 2. I felt obligated to give something back to the community.
Relative volume traditionally compares current volume to prior bar volume or SMA of volume. This has drawbacks. The question of relative volume is "Volume relative to what?" In the traditional scripts you'll find it displays current volume relative to the last number of bars. But, is that the best way to compare volume. On a daily chart, possibly. On a daily chart this can work because your units of time are uniform. Each day represents a full cycle of volume. However, on an intraday chart? Not so much.
Example: If you have a lookback of 9 on an hourly chart in a 24 hour market, you are then comparing the average volume from Midnight - 9 AM to the 9 AM volume. What do you think you'll find? Well at 9:30 when NY exchanges open the volume should be consistently and predictably higher. But though rVol is high relative to the lookback period, its actually just average or maybe even below average compared to prior NY session opens. But prior NY session opens are not included in the lookback and thus ignored.
This problem is the most visibly noticed when looking at the volume on a CME futures chart or some equivalent. In a 24 hour market, such as crypto, there are website's like skew can show you the volume disparity from time of day. This led me to believe that the traditional rVol calculation was insufficient. A better way to calculate it would be to compare the 9:30 am 30m bar today to the last week's worth of 9:30 am 30m bars. Then I could know whether today's volume at 9:30 am today is high or low based on prior 9:30 am bars. This seems to be a superior method on an intraday basis and is clearly superior in markets with irregular volume
This led me to other problems, such as markets that are open for less than 24 hours and holiday hours on traditional market exchanges. How can I know that the script is accurately looking at the correct prior relevant bars. I've created and/or adapted solutions to all those problems and these calculations and code snippets thus have value that extend beyond this rVol script for other pinecoders.
The Script
This rVol script looks back at the bars of the same time period on the viewing timeframe. So, as we said, the last 9:30 bars. Averages those, then divides the: . The result is a percentage expressed as x.xxx. Thus 1.0 mean current volume is equal to average volume. Below 1.0 is below the average and above 1.0 is above the average.
This information can be viewed on its own. But there are more levels of analysis added to it.
Above the bars are signals that correlate to the "Better Volume Indicator" developed by, I believe, the folks at emini-watch and originally adapted to pinescript by LazyBear. The interpretation of these symbols are in a table on the right of the indicator.
The volume bars can also be colored. The color is defined by the relationship between the average of the rVol outputs and the current volume. The "Average rVol" so to speak. The color coding is also defined by a legend in the table on the right.
These can be researched by you to determine how to best interpret these signals. I originally got these ideas and solid details on how to use the analysis from a fellow out there, PlanTheTrade.
I hope you find some value in the code and in the information that the indicator presents. And I'd like to thank the TradingView team for producing the most innovative and user friendly charting package on the market.
(p.s. Better Volume is provides better information with a longer lookback value than the default imo)
Credit for certain code sections and ideas is due to:
LazyBear - Better Volume
Grimmolf (From GitHub) - Logic for Loop rVol
R4Rocket - The idea for my rVol 1 calculation
And I can't find the guy who had the idea for the multiples of volume to the average. Tag him if you know him
Final Note: I'd like to leave a couple of clues of my own for fellow seekers of trading infamy.
Indicators: indicators are like anemometers (The things that measure windspeed). People talk bad about them all the time because they're "lagging." Well, you can't tell what the windspeed is unless the wind is blowing. anemometers are lagging indicators of wind. But forecasters still rely on them. You would use an indicator, which I would define as a instrument of measure, to tell you the windspeed of the markets. Conversely, when people talk positively about indicators they say "This one is great and this one is terrible." This is like a farmer saying "Shovels are great, but rakes are horrible." There are certain tools that have certain functions and every good tool has a purpose for a specific job. So the next time someone shares their opinion with you about indicators. Just smile and nod, realizing one day they'll learn... hopefully before they go broke.
How to forecast: Prediction is accomplished by analyzing the behavior of instruments of measure to aggregate data (using your anemometer). The data is then assembled into a predictive model based on the measurements observed (a trading system). That predictive model is tested against reality for it's veracity (backtesting). If the model is predictive, you can optimize your decision making by creating parameter sets around the prediction that are synergistic with the implications of the prediction (risk, stop loss, target, scaling, pyramiding etc).
<3
%-[Guz] Vortex Indicator Custom// Custom Vortex Strategy (backtester)
// Custom version of the Vortex indicators that adds many features:
// -Triggers trades after a threshold is reached instead of the normal vortex lines cross (once the difference between the 2 lines is important enough)
// -Smooths the Vortex lines with an EMA
// -Adds Take Profit and Stop Loss selection
// -Adds the possibility to go Long only, Short only or both of them
// ! notice that it uses 10% position size and 0.04% trade fee, found on some crypto exchanges futures contracts
// Allows testing leverage with position size modification (values above 100% position size, to be done with caution)
// Not an investment advice
Combo Backtest 123 Reversal & T3 Averages 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
This indicator plots the moving average described in the January, 1998 issue
of S&C, p.57, "Smoothing Techniques for More Accurate Signals", by Tim Tillson.
This indicator plots T3 moving average presented in Figure 4 in the article.
T3 indicator is a moving average which is calculated according to formula:
T3(n) = GD(GD(GD(n))),
where GD - generalized DEMA (Double EMA) and calculating according to this:
GD(n,v) = EMA(n) * (1+v)-EMA(EMA(n)) * v,
where "v" is volume factor, which determines how hot the moving average’s response
to linear trends will be. The author advises to use v=0.7.
When v = 0, GD = EMA, and when v = 1, GD = DEMA. In between, GD is a less aggressive
version of DEMA. By using a value for v less than1, trader cure the multiple DEMA
overshoot problem but at the cost of accepting some additional phase delay.
In filter theory terminology, T3 is a six-pole nonlinear Kalman filter. Kalman
filters are ones that use the error — in this case, (time series - EMA(n)) —
to correct themselves. In the realm of technical analysis, these are called adaptive
moving averages; they track the time series more aggres-sively when it is making large
moves. Tim Tillson is a software project manager at Hewlett-Packard, with degrees in
mathematics and computer science. He has privately traded options and equities for 15 years.
WARNING:
- For purpose educate only
- This script to change bars colors.
Combo Backtest 123 Reversal & Stochastic Crossover 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
This back testing strategy generates a long trade at the Open of the following
bar when the %K line crosses below the %D line and both are above the Overbought level.
It generates a short trade at the Open of the following bar when the %K line
crosses above the %D line and both values are below the Oversold level.
WARNING:
- For purpose educate only
- This script to change bars colors.
