Crude Oil: Backwardation Vs ContangoCrude Oil, CL
Plots Futures Curve: Futures contract prices over the next 3.5 years; to easily visualize Backwardation Vs Contango(carrying charge) markets.
Carrying charge (contract prices increasing into the future) = normal, representing the costs of carrying/storage of a commodity. When this is flipped to Backwardation(As the above; contract prices decreasing into the future): it's a bullish sign: Buyers want this commodity, and they want it NOW.
Note: indicator does not map to time axis in the same way as price; it simply plots the progression of contract months out into the future; left to right; so timeframe DOESN'T MATTER for this plot
TO UPDATE (every year or so): in REQUEST CONTRACTS section, delete old contracts (top) and add new ones (bottom). Then in PLOTTING section, Delete old contract labels (bottom); add new contract labels (top); adjust the X in 'bar_index-(X+_historical)' numbers accordingly
This is one of several similar Futures Curve indicators: Meats | Metals | Grains | VIX | Crude Oil
If you want to build from this; to work on other commodities; be aware that Tradingview limits the number of contract calls to 40 (hence the multiple indicators)
Tips:
-Right click and reset chart if you can't see the plot; or if you have trouble with the scaling.
-Right click and add to new scale if you prefer this not to overlay directly on price. Or move to new pane below.
-If this takes too long to load (due to so many security calls); comment out the more distant future half of the contracts; and their respective labels. Or comment out every other contract and every other label if you prefer.
--Added historical input: input days back in time; to see the historical shape of the Futures curve via selecting 'days back' snapshot
updated 20th June 2022
© twingall
在腳本中搜尋"META股价历史数据"
VIX: Backwardation Vs ContangoVIX: Backwardation Vs Contango
Quickly visualize Contango vs Backwardation in the S&P 500 Volatility Index by plotting the prices of the futures contracts over the next 9 months
Note: indicator does not map to time axis in the same way as price; it simply plots the progression of contract months out into the future; left to right; so timeframe DOESN'T MATTER for this plot
TO UPDATE(every few months recommended): in REQUEST CONTRACTS section, delete old contracts (top) and add new ones (bottom). Then in PLOTTING section, Delete old contract labels (bottom); add new contract labels (top); adjust the X in 'bar_index-(X+_historical)' numbers accordingly
This is one of several similar indicators: Meats | Metals | Grains | VIX
Tips:
-Right click and reset chart if you can't see the plot; or if you have trouble with the scaling.
-Right click and pin to Scale A to plot on the same scale as price
--Added historical input: input days back in time; to see the historical shape of the Futures curve via selecting 'days back' snapshot
updated 15th June 2022
© twingall
Grains:Backwardation/ContangoGRAINS: Wheat , Soybeans , Corn (ZW, ZS, ZC )
Quickly visualize carrying charge market vs backwardized market by comparing the price of the next 2 years of futures contracts.
Carrying charge (contract prices increasing into the future) = normal, representing the costs of carrying/storage of a commodity. When this is flipped to Backwardation (contract prices decreasing into the future): its a bullish sign: Buyers want this commodity, and they want it NOW.
The above chart shows a nice example of backwardation.
Note: indicator does not map to time axis in the same way as price; it simply plots the progression of contract months out into the future; left to right; so timeframe DOESN'T MATTER for this plot
There's likely some more efficient way to write this; e.g. when plotting for Wheat (ZW); 15 of the security requests are redundant; but they are still made; and can make this slower to load
TO UPDATE(once a year will do): in REQUEST CONTRACTS section, delete old contracts (top) and add new ones (bottom). Then in PLOTTING section, Delete old contract labels (bottom); add new contract labels (top); adjust the X in 'bar_index-(X+_historical)' numbers accordingly
This is one of three similar indicators: Meats | Metals | Grains
-If you want to build from this; to work on other commodities ; be aware that Tradingview limits the number of contract calls to 40 (hence the 3 seperate indicators)
Tips:
-Right click and reset chart if you can't see the plot; or if you have trouble with the scaling.
-Right click and add to new scale if you prefer this not to overlay directly on price. Or move to new pane below.
--Added historical input: input days back in time; to see the historical shape of the Futures curve via selecting 'days back' snapshot
updated 15th June 2022
© twingall
Meats: Backwardation/CantangoMEATS: Live Cattle , Feeder Cattle, Lean Hogs (LE, GF , HE)
Quickly visualize carrying charge market vs backwardized market by comparing the price of the next 2 years of futures contracts.
Carrying charge (contract prices increasing into the future) = normal, representing the costs of carrying/storage of a commodity. When this is flipped to Backwardation (contract prices decreasing into the future): its a bullish sign: Buyers want this commodity, and they want it NOW.
Note: indicator does NOT map to time axis in the same way as price; it simply plots the progression of contract months out into the future; left to right; so timeframe DOESN'T MATTER for this plot
There's likely some more efficient way to write this; e.g. when plotting for Live Cattle (LE); 8 of the security requests are redundant; but they are still made; and can make this slower to load
TO UPDATE(once a year will do): in REQUEST CONTRACTS section, delete old contracts (top) and add new ones (bottom). Then in PLOTTING section, Delete old contract labels (bottom); add new contract labels (top); adjust the X in 'bar_index-(X+_historical)' numbers accordingly
This is one of three similar indicators: Meats | Metals | Grains
-If you want to build from this; to work on other commodities ; be aware that Tradingview limits the number of contract calls to 40 (hence the 3 seperate indicators)
Tips:
-Right click and reset chart if you can't see the plot; or if you have trouble with the scaling.
-Right click and add to new scale if you prefer this not to overlay directly on price. Or move to new pane below.
--Added historical input: input days back in time; to see the historical shape of the Futures curve via selecting 'days back' snapshot
updated 15th June 2022
© twingall
Roof and Floors From Actieve InversionesImagine a Funny and visual way to understand Highest Highs and Lowest Lows. That's the way this indicator was conceived.
The way it Works:
The indicator plots lines in highest highs or lowest lows from a period of "Bars", you only have to set the number of Bars you wanna use and the indicator Makes all the stuff.
This is a Long term Indicator, so it can Show useful Floors or Roofs from higher Timeframes:
Cristal = Five Min Bars
Paper = thirty Min Bars
Plastic = 1 Hour Bars
Wood = 4 hours Bars
Metal = Daily Bars
But wait... There is something better than that...
If The Floor or Roof Brokes, the indicator will plot a dashed line and a label ¨Broken Roof or Floor¨ u can use it to set a Limit Order or Stop Order, and wait for the pullback.
Do you want some useful Advice ? Check the junctions from Floor or Roofs that are overlayed in some level.
Have Fun and good trading!!!
Commitment of Traders: Disaggregated Metrics█ OVERVIEW
This indicator displays the Commitment of Traders (COT) Disaggregated data for futures markets.
█ CONCEPTS
Commitment of Traders (COT) data is tallied by the Commodity Futures Trading Commission (CFTC) , a US federal agency that oversees the trading of derivative markets such as futures in the US. It is weekly data that provides traders with information about open interest for an asset. The CFTC oversees derivative markets traded on different exchanges, so COT data is available for assets that can be traded on CBOT, CME, NYMEX, COMEX, and ICEUS.
A detailed description of the COT report can be found on the CFTC's website .
COT data is separated into three notable reports: Legacy, Disaggregated, and Financial. This indicator presents data from the Disaggregated report. The disaggregated reports are broken down by agriculture, petroleum and products, natural gas and products, electricity and metals and other physical contracts. The Disaggregated reports break down the reportable open interest positions into four classifications: Producer/Merchant/Processor/User, Swap Dealers, Managed Money, and Other Reportables.
Our other COT indicators are:
• Commitment of Traders: Legacy Metrics
• Commitment of Traders: Financial Metrics
• Commitment of Traders: Total
█ HOW TO USE IT
Load the indicator on an active chart (see here if you don't know how).
By default, the indicator uses the chart's symbol to derive the COT data it displays. You can also specify a CFTC code in the "CFTC code" field of the script's inputs to display COT data from a symbol different than the chart's.
The rest of this section documents the script's input fields.
Metric
Each metric represents a different column of the Commitment of Traders report. Details are available in the explanatory notes on the CFTC's website .
Here is a summary of the metrics:
• "Open Interest" is the total of all futures and/or option contracts entered into and not yet offset by a transaction, by delivery, by exercise, etc.
The aggregate of all long open interest is equal to the aggregate of all short open interest.
• "Traders Total" is the quantity of all unique reportable traders, regardless of the trading direction.
• "Traders Producer Merchant" is the number of traders classified as a "producer/merchant/processor/user" reported holding any position with the specified direction.
A "producer/merchant/processor/user" is an entity that predominantly engages in the production, processing, packing or handling of a physical commodity and
uses the futures markets to manage or hedge risks associated with those activities.
• "Traders Swap" is the number of traders classified as "swap dealers" reported holding any position with the specified direction.
A "swap dealer" is an entity that deals primarily in swaps for a commodity and uses the futures markets to manage or hedge the risk associated with those swaps transactions.
The swap dealer’s counterparties may be speculative traders, like hedge funds, or traditional commercial clients that are managing risk arising from their dealings in the physical commodity.
• "Traders Managed Money" is the number of traders classified as "money managers" reported holding any position with the specified direction.
A "money manager" is a registered trader that is engaged in managing and conducting organized futures trading on behalf of clients.
• "Traders Other Reportable" is the number of reportable traders that are not placed in any of the three categories specified above.
• "Traders Total Reportable" is the number of traders reported holding any position with the specified direction.
To determine the total number of reportable traders in a market, a trader is counted only once whether or not the trader appears in more than one category.
As a result, the sum of the numbers of traders in each separate category typically exceeds the total number of reportable traders.
• "Producer Merchant/Swap/Managed Money/Total Reportable/Other Reportable Positions" is all positions held by the traders of the specified category.
• "Nonreportable Positions" is the long and short open interest derived by subtracting the total long and short reportable positions from the total open interest.
Accordingly, the number of traders involved and the classification of each trader are unknown.
• "Concentration Gross/Net LE 4/8 TDR" is the percentage of open interest held by 4/8 of the largest traders (entities), by Gross/Net positions, without regard to how they are classified.
The Net position ratios are computed after offsetting each trader’s equal long and short positions.
A reportable trader with relatively large, balanced long and short positions in a single market,
therefore, may be among the four and eight largest traders in both the gross long and gross short categories,
but will probably not be included among the four and eight largest traders on a net basis.
Direction
Each metric is available for a particular set of directions. Valid directions for each metric are specified with its name in the "Metric" field's dropdown menu.
Type
Possible values are: All, Old, Other. When commodities have a well-defined marketing season or crop year (e.g. Wheat or Lean Hogs futures), this determines how the data is aggregated. Detailed explanation can be found in the "Old and Other Futures" section of the CTFC Explanatory Notes linked above. The "Major Markets for Which the COT Data Is Shown by Crop Year" table in the Explanatory Notes specifies the commodities that this distinction applies to; selecting "Old" for any of the commodities not in that list will return the same data as in "All", while selecting "Other" will return 0.
Futures/Options
Specifies the type of Commitment of Traders data to display: data concerning only Futures, only Options, or both.
CTFC Code
Instead of letting the script generate the CFTC COT code from the chart and the "COT Selection Mode" input when this field is empty, you can specify an unrelated CFTC COT code here, e.g., 001602 for wheat futures.
Look first. Then leap.
FX TrendFX Trend Indicator by request of S.C. in The Trading Journal Discord.
Original Meta Trader Indicator at www.mql5.com
FXT = K * ((Close-L1) / (D1*Small range)+(Close-L2) / (D2*Middle range)+(Close-L3) / (D3*Big range))
Where:
D1 = H1 - L1
D2 = H2 - L2
D3 = H3 - L3
L1, H1 - the lowest and the highest prices in the Small range
L2, H2 - the lowest and the highest prices in the Middle range
L3, H3 - the lowest and the highest prices in the Big range
K = 100.0 / (1/Small range+1 / Middle range+1 / Big range)
Combo Backtest 123 Reversal & Smart Money Index (SMI) 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
Smart money index (SMI) or smart money flow index is a technical analysis indicator demonstrating investors sentiment.
The index was invented and popularized by money manager Don Hays. The indicator is based on intra-day price patterns.
The main idea is that the majority of traders (emotional, news-driven) overreact at the beginning of the trading day
because of the overnight news and economic data. There is also a lot of buying on market orders and short covering at the opening.
Smart, experienced investors start trading closer to the end of the day having the opportunity to evaluate market performance.
Therefore, the basic strategy is to bet against the morning price trend and bet with the evening price trend. The SMI may be calculated
for many markets and market indices (S&P 500, DJIA, etc.)
The SMI sends no clear signal whether the market is bullish or bearish. There are also no fixed absolute or relative readings signaling
about the trend. Traders need to look at the SMI dynamics relative to that of the market. If, for example, SMI rises sharply when the
market falls, this fact would mean that smart money is buying, and the market is to revert to an uptrend soon. The opposite situation
is also true. A rapidly falling SMI during a bullish market means that smart money is selling and that market is to revert to a downtrend
soon. The SMI is, therefore, a trend-based indicator.
Some analysts use the smart money index to claim that precious metals such as gold will continually maintain value in the future.
WARNING:
- For purpose educate only
- This script to change bars colors.
Financial Astrology Sun SpeedSun speed from geocentric view represents the apparent daily move (in degrees) of the Sun through the Zodiac wheel, we know well that is the Earth which is moving and this Sun dance through the tropical Zodiac is just apparent. The maximum speed 1.02 degrees per day is reached at the perihelion (closest to Sun) which occurs in January at the zodiac sign of Capricorn, the minimum speed is 0.97 at aphelion (further to Sun) and occurs at July at the sign of Cancer. The speed is inversely correlated to the Sun declination so at the maximum value in North declination we get the minimum value in speed and viceversa.
Is interesting to note that at the speed maxima, minima or exact average (that coincide with the start of the different Earth seasons) we can identify some of the most relevant top and bottoms in BTCUSD. Is said that "gold" metal is ruled by the Sun so would be great to analyse if there is a relevant correlation of top and bottoms in GLD market with in speed extreme value, I will leave this as homework to some of the amazing astro traders that do research with Trading View charts.
Note: The Sun speed indicator is based on an ephemeris array that covers years 2010 to 2030, prior or after this years the speed is not available, this daily ephemeris are based on UTC time so in order to align properly with the price bars times you should set UTC as your chart timezone.
Relative Volume at Time█ OVERVIEW
This indicator calculates relative volume, which is the ratio of present volume over an average of past volume.
It offers two calculation modes, both using a time reference as an anchor.
█ CONCEPTS
Calculation modes
The simplest way to calculate relative volume is by using the ratio of a bar's volume over a simple moving average of the last n volume values.
This indicator uses one of two, more subtle ways to calculate both values of the relative volume ratio: current volume:past volume .
The two calculations modes are:
1 — Cumulate from Beginning of TF to Current Bar where:
current volume = the cumulative volume since the beginning of the timeframe unit, and
past volume = the mean of volume during that same relative period of time in the past n timeframe units.
2 — Point-to-Point Bars at Same Offset from Beginning of TF where:
current volume = the volume on a single chart bar, and
past volume = the mean of volume values from that same relative bar in time from the past n timeframe units.
Timeframe units
Timeframe units can be defined in three different ways:
1 — Using Auto-steps, where the timeframe unit automatically adjusts to the timeframe used on the chart:
— A 1 min timeframe unit will be used on 1sec charts,
— 1H will be used for charts at 1min and less,
— 1D will be used for other intraday chart timeframes,
— 1W will be used for 1D charts,
— 1M will be used for charts at less than 1M,
— 1Y will be used for charts at greater or equal than 1M.
2 — As a fixed timeframe that you define.
3 — By time of day (for intraday chart timeframes only), which you also define. If you use non-intraday chart timeframes in this mode, the indicator will switch to Auto-steps.
Relative Relativity
A relative volume value of 1.0 indicates that current volume is equal to the mean of past volume , but how can we determine what constitutes a high relative volume value?
The traditional way is to settle for an arbitrary threshold, with 2.0 often used to indicate that relative volume is worthy of attention.
We wanted to provide traders with a contextual method of calculating threshold values, so in addition to the conventional fixed threshold value,
this indicator includes two methods of calculating a threshold channel on past relative volume values:
1 — Using the standard deviation of relative volume over a fixed lookback.
2 — Using the highs/lows of relative volume over a variable lookback.
Channels calculated on relative volume provide meta-relativity, if you will, as they are relative values of relative volume.
█ FEATURES
Controls in the "Display" section of inputs determine what is visible in the indicator's pane. The next "Settings" section is where you configure the parameters used in the calculations. The "Column Coloring Conditions" section controls the color of the columns, which you will see in three of the five display modes available. Whether columns are plotted or not, the coloring conditions also determine when markers appear, if you have chosen to show the markers in the "Display" section. The presence of markers is what triggers the alerts configured on this indicator. Finally, the "Colors" section of inputs allows you to control the color of the indicator's visual components.
Display
Five display modes are available:
• Current Volume Columns : shows columns of current volume , with past volume displayed as an outlined column.
• Relative Volume Columns : shows relative volume as a column.
• Relative Volume Columns With Average : shows relative volume as a column, with the average of relative volume.
• Directional Relative Volume Average : shows a line calculated using the average of +/- values of relative volume.
The positive value of relative volume is used on up bars; its negative value on down bars.
• Relative Volume Average : shows the average of relative volume.
A Hull moving average is used to calculate the average used in the three last display modes.
You can also control the display of:
• The value or relative volume, when in the first three display modes. Only the last 500 values will be shown.
• Timeframe transitions, shown in the background.
• A reminder of the active timeframe unit, which appears to the right of the indicator's last bar.
• The threshold used, which can be a fixed value or a channel, as determined in the next "Settings" section of inputs.
• Up/Down markers, which appear on transitions of the color of the volume columns (determined by coloring conditions), which in turn control when alerts are triggered.
• Conditions of high volatility.
Settings
Use this section of inputs to change:
• Calculation mode : this is where you select one of this indicator's two calculation modes for current volume and past volume , as explained in the "Concepts" section.
• Past Volume Lookback in TF units : the quantity of timeframe units used in the calculation of past volume .
• Define Timeframes Units Using : the mode used to determine what one timeframe unit is. Note that when using a fixed timeframe, it must be higher than the chart's timeframe.
Also, note that time of day timeframe units only work on intraday chart timeframes.
• Threshold Mode : Five different modes can be selected:
— Fixed Value : You can define the value using the "Fixed Threshold" field below. The default value is 2.0.
— Standard Deviation Channel From Fixed Lookback : This is a channel calculated using the simple moving average of relative volume
(so not the Hull moving average used elsewhere in the indicator), plus/minus the standard deviation multiplied by a user-defined factor.
The lookback used is the value of the "Channel Lookback" field. Its default is 100.
— High/Low Channel From Beginning of TF : in this mode, the High/Low values reset at the beginning of each timeframe unit.
— High/Low Channel From Beginning of Past Volume Lookback : in this mode, the High/Low values start from the farthest point back where we are calculating past volume ,
which is determined by the combination of timeframe units and the "Past Volume Lookback in TF units" value.
— High/Low Channel From Fixed Lookback : In this mode the lookback is fixed. You can define the value using the "Channel Lookback" field. The default value is 100.
• Period of RelVol Moving Average : the period of the Hull moving average used in the "Directional Relative Volume Average" and the "Relative Volume Average".
• High Volatility is defined using fast and slow ATR periods, so this represents the volatility of price.
Volatility is considered to be high when the fast ATR value is greater than its slow value. Volatility can be used as a filter in the column coloring conditions.
Column Coloring Conditions
• Eight different conditions can be turned on or off to determine the color of the volume columns. All "ON" conditions must be met to determine a high/low state of relative volume,
or, in the case of directional relative volume, a bull/bear state.
• A volatility state can also be used to filter the conditions.
• When the coloring conditions and the filter do not allow for a high/low state to be determined, the neutral color is used.
• Transitions of the color of the volume columns determined by coloring conditions are used to plot the up/down markers, which in turn control when alerts are triggered.
Colors
• You can define your own colors for all of the oscillator's plots.
• The default colors will perform well on light or dark chart backgrounds.
Alerts
• An alert can be defined for the script. The alert will trigger whenever an up/down marker appears in the indicator's display.
The particular combination of coloring conditions and the display settings for up/down markers when you create the alert will determine which conditions trigger the alert.
After alerts are created, subsequent changes to the conditions controlling the display of markers will not affect existing alerts.
• By configuring the script's inputs in different ways before you create your alerts, you can create multiple, functionally distinct alerts from this script.
When creating multiple alerts, it is useful to include in the alert's message a reminder of the particular conditions you used for each alert.
• As is usually the case, alerts triggering "Once Per Bar Close" will prevent repainting.
Error messages
Error messages will appear at the end of the chart upon the following conditions:
• When the combination of the timeframe units used and the "Past Volume Lookback in TF units" value create a lookback that is greater than 5000 bars.
The lookback will then be recalculated to a value such that a runtime error does not occur.
• If the chart's timeframe is higher than the timeframe units. This error cannot occur when using Auto-steps to calculate timeframe units.
• If relative volume cannot be calculated, for example, when no volume data is available for the chart's symbol.
• When the threshold of relative volume is configured to be visible but the indicator's scale does not allow it to be visible (in "Current Volume Columns" display mode).
█ NOTES
For traders
The chart shown here uses the following display modes: "Current Volume Columns", "Relative Volume Columns With Average", "Directional Relative Volume Average" and "Relative Volume Average". The last one also shows the threshold channel in standard deviation mode, and the TF Unit reminder to the right, in red.
Volume, like price, is a value with a market-dependent scale. The only valid reference for volume being its past values, any improvement in the way past volume is calculated thus represents a potential opportunity to traders. Relative volume calculated as it is here can help traders extract useful information from markets in many circumstances, markets with cyclical volume such as Forex being one, obvious case. The relative nature of the values calculated by this indicator also make it a natural fit for cross-market and cross-sector analysis, or to identify behavioral changes in the different futures contracts of the same market. Relative volume can also be put to more exotic uses, such as in evaluating changes in the popularity of exchanges.
Relative volume alone has no directional bias. While higher relative volume values always indicate higher trading activity, that activity does not necessarily translate into significant price movement. In a tightly fought battle between buyers and sellers, you could theoretically have very large volume for many bars, with no change whatsoever in bid/ask prices. This of course, is unlikely to happen in reality, and so traders are justified in considering high relative volume values as indicating periods where more attention is required, because imbalances in the strength of buying/selling power during high-volume trading periods can amplify price variations, providing traders with the generally useful gift of volatility.
Be sure to give the "Directional Relative Volume Average" a try. Contrary to the always-positive ratio widely used in this indicator, the "Directional Relative Volume Average" produces a value able to determine a bullish/bearish bias for relative volume.
Note that realtime bars must be complete for the relative volume value to be confirmed. Values calculated on historical or elapsed realtime bars will not recalculate unless historical volume data changes.
Finally, as with all indicators using volume information, keep in mind that some exchanges/brokers supply different feeds for intraday and daily data, and the volume data on both feeds can sometimes vary quite a bit.
For coders
Our script was written using the PineCoders Coding Conventions for Pine .
The description was formatted using the techniques explained in the How We Write and Format Script Descriptions PineCoders publication.
Bits and pieces of code were lifted from the MTF Selection Framework and the MTF Oscillator Framework , also by PineCoders.
█ THANKS
Thanks to dgtrd for suggesting to add the channel using standard deviation.
Thanks to adolgov for helpful suggestions on calculations and visuals.
Look first. Then leap.
Buy - Take Profit OR Stop Loss % BasedScript looks back for a certain period of time and than enter when price close above that look back period ema. Once enter it does not care for how many times price cross above or below. Once entered, it will either hit percenatage based take profit of stop loss.
CC - Array-meta Consolidated Interval Display (ACID)This script extends my other two Array examples (which I've also provided to you open source):
The Ticker-centric 5m,15m,45m,1h,4h,1d resolution labels using arrays:
And the more Macro VIX,GLD,TLT,QQQ,SPY,IWM 1d resolution labels using arrays:
This script aims to show how to use min/max/avg with Arrays easily. My next example after this will be exploring the usage of variance versus covariance ratios over different periodic interval resolutions. Currently, this is using the following intervals: 5m,15m,45m,1h,4h,1d. It takes these intervals, calculates the values at those resolutions and puts the absolute min and max from the 5 minute to the 1 day resolutions.
It's more of an example of the power that arrays can hold, as all this truly is right now is a min/max bound calculator. The real gem lies in the avg calculators for multiple resoltuions tied into a single label with readable data. Check out the code and let me know what you think. If you need more examples, the other two scripts I mentioned before are also open source.
Using this on intervals of less than 1D sometimes times out, the way I wrote it is memory intensive, may not work for non-pro users.
Thanks!
NONE OF THIS IS FOREWARD LOOKING STATEMENTS, THIS IS NOT A PREDECTIVE ANALYSIS TOOL. THIS IS A RESEARCH ATTEMPT AT A NOVEL INDICATOR. I am not responsible for outcomes using it.
Please use and give criticisms freely. I am experimenting with combining resolutions and comparing covariance values at different levels right now, so let me know your thoughts! The last indicator will likely not be open source, but may be depending on how complex I get.
OHLC_yesterday_and_lastweekBy using this indicator, you can see these points.
1. Yesterday's OHLC + half price, today's limit price
2. Last week's OHLC + half price
3. 5 EMAs
Especially effective for foreign exchange, metals and indices.
ANN GOLD WORLDWIDE This script consists of converting the value of 1 gram and / or 1 ounce of gold according to the national currencies into a system with artificial neural networks.
Why did I feel such a need?
Even though the printed products in the market are digitally circulated, only precious metals are available in full or near full.
Silver is difficult to carry because you have to buy too much because the unit price is low.
Platinum is very difficult to find and used in industry.
Gold is both practical and has less volatile movements, even more balanced than dollars, to preserve the value of money.
Uncertainty and tensions benefit gold.
Obviously this is my own opinion and is not worth the investment advice:
If there is to be an economic crisis, it is obvious that the dollar will rise against the emerging currencies, but I expect a crisis where gold and the dollar will rise together.
The world has been on a mercantilist line more than ever!
Spot gold can be bought from goldsmiths and banks.
I think this command will benefit people everywhere but in economies that are subject to developing currencies.
Now we can look at the details:
All you have to do is load the appropriate chart and select it from the menu.
Thus, the system will adjust itself to that instrument.
MENU and Tickers :
"GOLD" : XAUUSD or GC1! or GOLD (Average error = 0.0128)
"GOLDSILVER" : XAUXAG or GOLDSILVER (Gold Silver Ratio ) ( Average error : 0.01 )
"GOLD CZK " : XAUUSD/USDCZK ( 1 Ounce Gold Czech Koruna) ( Average error = 0.010879 )
"GOLD NZD " : XAUUSD/USDNZD ( 1 Ounce Gold New Zealand Dollar ) (Average error = 0.010736 )
"GOLD EURO" : XAUUSD/USDEUR ( 1 Ounce Gold Euro) ( Average error = 0.010000 )
"GOLD HUF " : XAUUSD/USDHUF ( 1 Ounce Gold Hungarian Forint ) ( Average error = 0.010000 )
"GOLD INR " : XAUUSD/USDINR (1 Ounce Gold Indian Rupee ) (Average error = 0.010458 )
"GOLD DKK" : XAUUSD/USDDKK (1 Ounce Gold Danish Krone) (Average error = 0.010671 )
"GOLD CHF" : XAUUSD/USDCHF (1 Ounce Gold Swiss Franc ) (Average error = 0.010967 )
"GOLD CNH" : XAUUSD/USDCNH(1 Ounce Gold Offshore RMB) (Average error = 0.012017 )
"GOLD MXN" : XAUUSD/USDMXN(1 Ounce Gold Mexican Peso) (Average error = 0.010000 )
"GOLD PLN" : XAUUSD/USDPLN (1 Ounce Gold Polish Zloty ) (Average error = 0.010173 )
"GOLD ZAR" : XAUUSD/USDZAR (1 Ounce Gold South African Rand (Average error = 0.010484 )
"GOLD NOK" : XAUUSD/USDNOK (1 Ounce Gold Norwegian Krone ) (Average error = 0.010842 )
"GOLD TRY" : XAUUSD/USDTRY (1 Ounce Gold Turkish Lira ) (Average error = 0.010000 )
"GOLD THB" : XAUUSD/USDTHB (1 Ounce Gold Thai Baht ) (Average error = 0.011747 )
Important note : XAUUSD/USDCUR = 1 Ounce Gold , XAUUSD/31.1*USDCUR = 1 gram Gold (CUR = Currency )
If you want to physically hold it, look gram value, because as far as I know, all goldsmiths and jewelleries in the world are selling gram gold.
I think that this command is the most useful and the concrete one that I have ever written.
I end my sentences with this anonymous proverb :
"Even if gold falls into the mud, it's still gold ! "
ATR, Kijun-Sen, %R Strategy [No Nonsense FX]A strategy that employs the No Nonsense FX method as described by VP.
1. Risk: ATR
2. Baseline: Kijun-Sen
3. Confirmation #1: Williams % Range
4. Volume: TBD
5. Confirmation #2: TBD
6. Exit: TBD
Give me a follow if you enjoy and please PM me for more info/collabs!
Notes:
The defaults seem to work on all pairs
Please check the "two digit" box if running on JPY or Metals
If you have any ideas for a volume indicator, confirmation, and/or exit leave a comment!
Adaptive Zero Lag EMA [STUDY]A user has asked for the Study/Indicator version of this Strategy .
If you encounter the error "loop....>100ms" simply toggle the eye icon to hide and unhide the indicator
The following is simply quoted from my previous post for your convenience: (obviously there won't be risk, Stop Loss, or Take profit parameters!)
OPERATING PRINCIPLE
The strategy is based on Ehlers idea that any indicator can be turned into a signal-producing trade system through smoothing and other filtering processes.
In fact, I'm using his Zero Lag EMA ( ZLEMA ) as a baseline indicator as well as some code snippets he has made public (1). God bless open source!
Next, I've provided the option to use an Instantaneous Frequency Measurement (IFM) method, which will adaptively choose the best period for the ZLEMA (2)
I've written other studies that use the differential calculus approximations for IFM, so it was only natural to include them in this strategy.
The primary two are Cosine IFM (3) and In-phase Quadrature IFM (4). You can also find an indicator with both plotted and the ability to average them together, as one IFM prefers long periods and the other short. (5)
BEFORE WE BEGIN
1. This strategy only runs on "normal" FX pairs ( EURUSD , GBPJPY , AUDUSD ...) and will fail on Metals or Commodities.
Cryptos are largely untested.
2. Please run it on these time frames: M15 to D.
Anything outside this range will likely fail.
HOW TO USE AND SUCCEED
1. If the Default settings don't produce good results right off the bat, then lower gain limit to 1 or 2 and threshold to 0.01.
2. Test each setting under adaptive method. If you want to leave it Off, then I'd recommend using some kind of IFM (see my links below) to
discover the most efficient period to use.
3. Once you have the best adaptive method chosen, begin incrementing gain limit until you find a nice balance between profit factor ( PF ) and drawdown.
4. Now, begin incrementing threshold. The goal is to have PF above 2 and a drawdown as low as possible.
5. Finally, change the source! Typically, close is the best option, but I have run into cases where high
yielded the highest returns and win rate.
6. Sit back, relax, and tweak the risk until you're happy with the return and drawdown amounts.
ADVANCED
You may need to adjust take profit (TP) points and stop loss (SL) points to create the best entry possible. Don't be greedy! You'll likely have poor
results if the TP is set to 300 and SL is 50.
If you are trading a pair that has a long Dominant Cycle Period, then you may increase Max Period to allow the IFM
to accept longer periods. Any period above the Max Period will be rejected. This may increase lag time!
Cheers and good luck trading!
-DasanC
(1)www.mesasoftware.com
(2)www.jamesgoulding.com
(3) Cosine IFM
(4) I-Q IFM
(5) Averaging IFM
IFM stands for Instantaneous frequency measurement
Adaptive Zero Lag EMA v2This is my most successful strategy to date! Please enjoy and join the Open Source movement by sharing your code and ideas online!
OPERATING PRINCIPLE
The strategy is based on Ehlers idea that any indicator can be turned into a signal-producing trade system through smoothing and other filtering processes.
In fact, I'm using his Zero Lag EMA (ZLEMA) as a baseline indicator as well as some code snippets he has made public (1). God bless open source!
Next, I've provided the option to use an Instantaneous Frequency Measurement (IFM) method, which will adaptively choose the best period for the ZLEMA (2)
I've written other studies that use the differential calculus approximations for IFM, so it was only natural to include them in this strategy.
The primary two are Cosine IFM (3) and In-phase Quadrature IFM (4). You can also find an indicator with both plotted and the ability to average them together, as one IFM prefers long periods and the other short. (5)
BEFORE WE BEGIN
1. This strategy only runs on "normal" FX pairs (EURUSD, GBPJPY, AUDUSD ...) and will fail on Metals or Commodities.
Cryptos are largely untested.
2. Please run it on these time frames: M15 to D.
Anything outside this range will likely fail.
HOW TO USE AND SUCCEED
1. If the Default settings don't produce good results right off the bat, then lower gain limit to 1 or 2 and threshold to 0.01.
2. Test each setting under adaptive method . If you want to leave it Off , then I'd recommend using some kind of IFM (see my links below) to
discover the most efficient period to use.
3. Once you have the best adaptive method chosen, begin incrementing gain limit until you find a nice balance between profit factor (PF) and drawdown.
4. Now, begin incrementing threshold . The goal is to have PF above 2 and a drawdown as low as possible.
5. Finally, change the source ! Typically, close is the best option, but I have run into cases where high
yielded the highest returns and win rate.
6. Sit back, relax, and tweak the risk until you're happy with the return and drawdown amounts.
ADVANCED
You may need to adjust take profit (TP) points and stop loss (SL) points to create the best entry possible. Don't be greedy! You'll likely have poor
results if the TP is set to 300 and SL is 50.
If you are trading a pair that has a long Dominant Cycle Period , then you may increase Max Period to allow the IFM
to accept longer periods. Any period above the Max Period will be rejected. This may increase lag time!
Cheers and good luck trading!
-DasanC
PS - This code doesn't repaint or have future-leak, which was present in Pinescript v2.
PPS - Believe me! These returns are typical! Sometimes you must push aside the "if it's too good to be true..." mindset that society has ingrained in you.
Do you really believe the most successful pass up opportunities before investigating them? ;)
(1) Ehlers & Ric Zero Lag EMA
(2) Measuring Cycles by Ehlers
(3) Cosine IFM
(4) Inphase Quadrature IFM
(5) Averaging IFM
Smart Money Index (SMI) Backtest Attention:
If you would to use this indicator on the ES, you should have intraday data 60min in your account.
Smart money index (SMI) or smart money flow index is a technical analysis indicator demonstrating investors sentiment.
The index was invented and popularized by money manager Don Hays. The indicator is based on intra-day price patterns.
The main idea is that the majority of traders (emotional, news-driven) overreact at the beginning of the trading day
because of the overnight news and economic data. There is also a lot of buying on market orders and short covering at the opening.
Smart, experienced investors start trading closer to the end of the day having the opportunity to evaluate market performance.
Therefore, the basic strategy is to bet against the morning price trend and bet with the evening price trend. The SMI may be calculated
for many markets and market indices (S&P 500, DJIA, etc.)
The SMI sends no clear signal whether the market is bullish or bearish. There are also no fixed absolute or relative readings signaling
about the trend. Traders need to look at the SMI dynamics relative to that of the market. If, for example, SMI rises sharply when the
market falls, this fact would mean that smart money is buying, and the market is to revert to an uptrend soon. The opposite situation
is also true. A rapidly falling SMI during a bullish market means that smart money is selling and that market is to revert to a downtrend
soon. The SMI is, therefore, a trend-based indicator.
Some analysts use the smart money index to claim that precious metals such as gold will continually maintain value in the future.
You can change long to short in the Input Settings
WARNING:
- For purpose educate only
- This script to change bars colors.
Smart Money Index (SMI) Strategy Attention:
If you would to use this indicator on the ES, you should have intraday data 60min in your account.
Smart money index (SMI) or smart money flow index is a technical analysis indicator demonstrating investors sentiment.
The index was invented and popularized by money manager Don Hays. The indicator is based on intra-day price patterns.
The main idea is that the majority of traders (emotional, news-driven) overreact at the beginning of the trading day
because of the overnight news and economic data. There is also a lot of buying on market orders and short covering at the opening.
Smart, experienced investors start trading closer to the end of the day having the opportunity to evaluate market performance.
Therefore, the basic strategy is to bet against the morning price trend and bet with the evening price trend. The SMI may be calculated
for many markets and market indices (S&P 500, DJIA, etc.)
The SMI sends no clear signal whether the market is bullish or bearish. There are also no fixed absolute or relative readings signaling
about the trend. Traders need to look at the SMI dynamics relative to that of the market. If, for example, SMI rises sharply when the
market falls, this fact would mean that smart money is buying, and the market is to revert to an uptrend soon. The opposite situation
is also true. A rapidly falling SMI during a bullish market means that smart money is selling and that market is to revert to a downtrend
soon. The SMI is, therefore, a trend-based indicator.
Some analysts use the smart money index to claim that precious metals such as gold will continually maintain value in the future.
WARNING:
- This script to change bars colors.
Bollinger Bands + 2 MA (Exponential)Basic Bollinger Bands implementation, with the option to use an exponential moving average and a more accurate stdev function than the builtin. This also includes two extra MA lines which can be tuned as you like, to reduce the number of indicators needed (the bollinger basis is also a moving average, so in total you get 3MA out of this indicator). This draws an inner/outer envelope which can be tuned, by default it is set to 1-2STDEV.
This uses the same same improvement to stdev as my other bollinger indicator:
See more info about the bultin stdev here:
Renko Price Bars Overlay// Shows the price renko bars (or range bars) instead of the PERIOD renko
// bars that are integrated into Trading View. The normal renko bars that
// Trading View offers only consider the drawing of a new brick when the
// price closes above or below the required brick size. This can produce
// misleading charts since depending on the time interval of a chart, new
// bricks may or may not be drawn. True price renko bars will draw a new
// brick immediately upon the price exceeding the next target brick size.
// When running this script in "Traditional" mode, the painting of the
// brick overlay band is INDEPENDENT of the chart interval. If price
// exceeds the required target price for the next brick, the band is
// updated immediately, instead of waiting for the price bar on the chart
// interval to close first. The brick starting anchor point will attempt
// to be a "nice number" at a round interval for the chart ticker. For
// example, if viewing EURUSD with the box size equal to 50 ticks/pips,
// the open and close prices will take the form of 1.2100, 1.2150, 1.2200,
// 1.2250, and so on. This is the same behavior as the normal traditional
// Renko bars in Trading View and other major trading platforms such as
// Meta Trader.
// Use the tick size in traditional mode to specify the block size, in
// ticks. This may give interesting results in FOREX pairs... as the tick
// size in Trading View may be 0.00001 instead of the normal pip size of
// 0.0001, so a 10 pip block size may be '100', and not the expected '10'.
// FOREX futures should work in the manner expected, a 10 pip block size
// will indeed equal 0.0010.
// The "ATR" mode functions differently than the Trading View built in
// version. The block size is updated each time the range is exceeded.
// In Trading View, when using the ATR mode, the ATR is the last ATR
// value calculated on the ENTIRE data interval, and is applied to all
// past data. You can see this when you press the '+' sign of the ticker
// in the top left of the chart window and you will see the brick size
// as a constant, the brick size is not a function of the ever changing
// ATR value of the price action. The block size of this script is not
// updated for each price candle (i.e. each 1HR on a 1HR chart), instead
// it is updated only when the price thresholds are exceeded requiring a
// the band to be updated. At that point the current ATR is considered
// and the brick size is updated.
// Options exist to show the current high and low of the brick, and to
// show the required levels that the price must exceed to draw a new
// brick and update the band.
Please leave comments if you notice any bugs or would like any new features added. I don't find much use for plotting the H/L of the current renko candle, but I have seen some request it in the past.
Cheers.
Smart Money Index (SMI)Smart money index (SMI) or smart money flow index is a technical analysis indicator demonstrating investors sentiment.
The index was invented and popularized by money manager Don Hays. The indicator is based on intra-day price patterns.
The main idea is that the majority of traders (emotional, news-driven) overreact at the beginning of the trading day
because of the overnight news and economic data. There is also a lot of buying on market orders and short covering at the opening.
Smart, experienced investors start trading closer to the end of the day having the opportunity to evaluate market performance.
Therefore, the basic strategy is to bet against the morning price trend and bet with the evening price trend. The SMI may be calculated
for many markets and market indices (S&P 500, DJIA, etc.)
The SMI sends no clear signal whether the market is bullish or bearish. There are also no fixed absolute or relative readings signaling
about the trend. Traders need to look at the SMI dynamics relative to that of the market. If, for example, SMI rises sharply when the
market falls, this fact would mean that smart money is buying, and the market is to revert to an uptrend soon. The opposite situation
is also true. A rapidly falling SMI during a bullish market means that smart money is selling and that market is to revert to a downtrend
soon. The SMI is, therefore, a trend-based indicator.
Some analysts use the smart money index to claim that precious metals such as gold will continually maintain value in the future.
