Ultimate Customizable EMA/SMAI know, not another EMA indicator, but I promise, I will make it worth your while!
About this indicator:
This is an EMA indicator, plain and simple. But its ultimate! And its ultimate in the sense that I have made it vastly customizable.
I made this indicator as a boring, single line indicator that would allow me to toggle to whichever EMA / SMA I wanted on whatever timeframe I wanted, because with the currently available EMAs and SMAs (and there are tons of them), I could never seem to get one with the precise settings I wanted.
Then I realized, if I struggled with this, chances are other people may be struggling with this. And also chances are not everyone is great with coding things quickly and it may be out of reach for those to code something specific to their individual needs and desires.
So this indicator is meant for those who, like me, may have very specific tastes for their EMA indicator and want to be able to tailor it right down to a T of what they want, but maybe don't have the skills to code things specifically the way they would like it.
So what can I do with it?
Well, you can do really whatever you want. I have made absolutely everything possible customizable, right down to the size of the plotted line (you can adjust the width of the line to make it more or less visible). But let me give you a list of the functions permitted for this indicator:
1. Toggle between an EMA or SMA: The indicator will default to show the EMA. However, you can toggle between an EMA or SMA, depending on your preference.
2. Add 2 EMA's or SMAs: The indicator permits up to 2 EMA's to be added. Both of which can be either EMA or SMA and operate independently (you can have one as EMA and the other as SMA, both as SMA or whatever combination thereof).
3. Specify your timeframes: Each EMA/SMA can have an individual timeframe. If you want to plot 2, 200 EMA's on your chart, 1 on the 5 minute chart and the other on the 1 Day chart, you can do it! The indicator will permit you to individually select which timeframe you want for both of the available EMAs/SMAs. They can both be on separate timeframes.
4. Specify your sources: In addition to both being able to be on separate timeframes, both can also be on separate sources. You can have the 200 EMA of the close price as well as the 200 EMA of the high or low price. The indicator will permit you to specify your preferred sources.
5. Plot Standard Deviation bands: You can plot the standard deviation bands of the primary EMA/SMA (this is only available on the primary EMA/SMA and not both). You can also specify the length of the standard deviation bands that can operate independently of the primary EMA/SMA. So if you have the 50 EMA but want the 200 standard deviation bands, you can do so and specify this in the data inputs.
6. Customize your alerts: The indicator provides 6 pre-programmed condition alerts that are applied to both the primary, secondary and both EMAs. This way, you can customize various alerts based on various conditions you want to look for.
7. Plot crossover / crossunder arrows: The indicator will allow you to request it to plot triangles to signal crossovers and crossunders. This can be toggled on and off based on your visual preference.
8. Provides demographic information: The EMA will provide basic demographic information about the stock's behaviour around the EMA/SMA. This is displayed in a table at the top right of the chart. It will tell you the number of touches a stock has with its various EMA/SMAs, how many closes it has had above or below the EMA/SMA (for example, a bullish ticker should have more closes above an EMA than below it and inverse for bearish), how many times the close price has crossed over or crossed under the two EMA/SMAs and how many time the EMA/SMAs have crossed over and crossed under each other. This all gives an idea of the relative strength and sentiment of a stock in a quantitative way. The length of the lookback period is customizable individually for each EMA/SMA. If you want to look back 100, 200, 500 or just 75 candles, you can specify. You can also toggle on and off each or both tables as you desire.
Final thoughts:
The indicator was meant to tailor to my general need to toggle between very specific EMAs and SMAs to gauge averages. I generally will look at various EMAs and SMAs to calculate various things and I never specifically rely on a single EMA and SMA. Its annoying having to switch between multiple indicators and I always ended up opening pinescript and coding in what exactly I wanted to look at. This was meant to stop me from having to constantly code something specifically each time I wanted very specific information and I felt like I should share it with the community, as if I find it helpful and useful, I hope others will, too!
Hopefully you find it helpful and useful and as always leave your suggestions below!
Cerca negli script per "情绪指数板块+约200只股票+选股规则"
SA 2.0The 100/200 EMA crossover strategy is a popular trend-following strategy used in technical analysis. It aims to identify potential buy and sell signals based on the crossover of two exponential moving averages (EMAs), specifically the 100-period EMA and the 200-period EMA. This strategy is designed to capture the momentum of the market and take advantage of sustained trends in the price of US30. This strategy can also work on other instruments, just backtest the winrate.
How it Works:
Timeframe Selection: The strategy is optimized for the US30 index and is implemented on both the 5-minute and 3-minute charts. These shorter timeframes provide more frequent trading opportunities and allow for quicker decision-making.
EMA Crossover: The strategy focuses on the crossover of the 100-period EMA and the 200-period EMA. When the 100 EMA crosses above the 200 EMA, it generates a bullish signal, indicating a potential upward trend. Conversely, when the 100 EMA crosses below the 200 EMA, it generates a bearish signal, suggesting a potential downward trend.
Rejection Confirmation: To filter out false signals and increase the reliability of the strategy, it incorporates a rejection confirmation. After the initial crossover, the strategy looks for price rejections near the 100 EMA. A rejection occurs when the price briefly moves below the 100 EMA and then quickly bounces back above it, indicating potential support and a possible continuation of the trend. It is during this rejection that the strategy generates the buy or sell signal.
Buy and Sell Signals: When a rejection occurs after the crossover, the strategy generates a buy signal if the rejection is above the 100 EMA. This suggests that the price is likely to continue its upward momentum. On the other hand, a sell signal is generated if the rejection occurs below the 100 EMA, indicating a potential continuation of the downward trend. These signals help traders identify favorable entry points for long or short positions.
Risk Management: As with any trading strategy, proper risk management is crucial. Traders can use stop-loss orders to limit potential losses in case the market moves against their positions. Additionally, setting profit targets or trailing stops can help secure profits as the trend progresses.
It's important to note that no trading strategy guarantees success, and it's recommended to test the strategy on historical data or in a demo trading environment before applying it with real funds. Furthermore, regular monitoring and adjustment may be necessary to adapt to changing market conditions.
Disclaimer: This description is for informational purposes only and should not be considered as financial advice. Trading carries risks, and individuals should exercise caution and consult with a qualified financial professional before making any investment decisions.
S&P500 Sectors Relative Overviewdear fellows,
this indicator is yet another representation of S&P 500 industry sectors.
it is inspired by mr. stanley drukenmiller who in an interview mentioned that he knows no better market forecaster than the inside of the sp500 itself, which are its industry sectors.
thus, we have been for a while thinking on how to represent the performance of these sectors such that one could visually estimated the current stage of the cycle, and grasp the next one.
unfortunatelly, we believe this cannot be achieved by solely looking into SP500 industry sectors. perhaps coupled with a broad market indicator like our MRI, for instance, one can have greater odds of success.
what does it show
it displays colorfully through out time how each sector travels through its 200 period high and lows.
note that an alternative view of the sectors relatively to SPX could be considered, but by now we focused on the relative performance against its recent past (200 period, regardless the timeframe).
over the colored columns we've plotted in white the SPX under the same logic.
how is it calculated
each sector price is converged into a percentage of how near it is to its 200 period low.
so, when the price of the sector index equals the 200 period min, it is valued as 0.
when it equals the 200 period max, it is valued as 100.
same for the white plot of SPX above the colored columns.
thus a flat reading at 100 makes it indistinguishable a continued ATH extension from a pause at the ATH.
how is it colored
when the converted price results in a value lesser or equal 33, its respective bar is colored in red.
when it is between 33 and 66, the bar is colored in yellow.
and when it lies above 66, in green.
on how is it grouped
the specific ordering of the sectors is not yet settled.
we've grouped it visually based on likelihood.
on how to use this indicator
although we believe that it does not suffice for any conclusion on the market, we do not believe that an above chart can improve the resulting insight. so, at least by the time being, we recommend it to be stared alone, although not exclusively, by trader.
we are open to suggestions of any sort.
your feedback is much appreciated.
this is a work we'd have been looking for a while to put it out.
enjoy.
best regards.
rt maax EMA cross strategythis just sample of our strategies we published with open source, to learning our investor the way of trading and analysis, this strategy just for study and learning
in this strategy we use expontial moving avarage 20 , 50 , 200 and the we build this strategy when the price move up ema 200 and ema 20,50 cross up the 200 ema in this conditions the strargey will open long postion
and the oppisit it is true for short postion in this sitation the price should be under ema 200 and the ema 20 , 50 should cross under 200 ema then the strategy will open the short postion
we try this strategy on forex ,crypto and futures and it give us very good result ,, also we try this postion on multi time frame we find the stragey give us good result on 1 hour time frame .
in the end our advice for you before you use any stratgy you should have the knowledg of the indecators how it is work and also you should have information about the market you trade and the last news for this market beacuse it effect so much on the price moving .
so we hope this strategy give you brefing of the way we work and build our strategy
Davin's 10/200MA Pullback on SPY Strategy v2.0Strategy:
Using 10 and 200 Simple moving averages, we capitalize on price pullbacks on a general uptrend to scalp 1 - 5% rebounds. 200 MA is used as a general indicator for bullish sentiment, 10 MA is used to identify pullbacks in the short term for buy entries.
An optional bonus: market crash of 20% from 52 days high is regarded as a buy the dip signal.
An optional bonus: can choose to exit on MA crossovers using 200 MA as reference MA (etc. Hard stop on 50 cross 200)
Recommended Ticker: SPY 1D (I have so far tested on SPY and other big indexes only, other stocks appear to be too volatile to use the same short period SMA parameters effectively) + AAPL 4H
How it works:
Buy condition is when:
- Price closes above 200 SMA
- Price closes below 10 SMA
- Price dumps at least 20% (additional bonus contrarian buy the dip option)
Entry is on the next opening market day the day after the buy condition candle was fulfilled.
Sell Condition is when:
- Prices closes below 10 SMA
- Hard stop at 15% drawdown from entry price (adjustable parameter)
- Hard stop at medium term and long term MA crossovers (adjustable parameters)
So far this strategy has been pretty effective for me, feel free to try it out and let me know in the comments how you found :)
Feel free to suggest new strategy ideas for discussion and indicator building
IS 200EMABB long buy and sellThis script backtested some stocks, it's giving soft buy and strong buy signals,
I am using Bollinger band and 200 EMA,
Strong Buy :- If price is above 200 ema and cross over 10d ema and sma setup with BB,
Buy :- If price is below 200 ema and cross over 10d ema and sma setup with BB,
Strong Sell :- If price is below 200 ema and cross over ema and sma with input setup for BB
Sell :- If price is above 200 ema and cross over ema and sma with input setup for BB
Don't consider it as buy and sell call, do your own research ,i did it according to my experience and learning.
Thank you
LA_Crpyto_Pirate Modifie VuManChu B Script with Scalping FiltersI added the following filters for entry signals to the VuManChu B with divergences for use as a scalping indicator. You will need to load the 50 EMA and this indicator to trade this per the rules below
The rules for trading this are as follows; You can only take a long or short entry when all of these requirements match
The wave cross is under the zero line (long) or over the zero line (short)
The money flow indicator is green (long) or red (short)
The closing price is above the 200 EMA (long) or below the 200 EMA (short)
price has pulled back to the 50 EMA
Here are the filters I employed in the script to help you trade this
Zero Line Filter: Only signal longs under the zero line and shorts over the zero line will fire off a signal
Money Flow Indicator Filter: Only signal longs when money flow is green and only shorts when money flow is red
200 MA filter: Only longs when price is closing above the 200 EMA and only shorts when price is closing below the 200 EMA
When you get an alert, simply check to see that price has pulled back to the 50 EMA before entering. Place long and short orders when the indicator signals and you confirm price has pulled back to the 50 ema before entering the long or short. Set your Stop Loss above or below the pervious pullback and set a reward ratio of your choice. Good luck!
SNL Popular Moving Averages MTFSNL△ Popular Moving Averages MTF
Short title: PopMAs
These are popular moving averages used by various traders and they are multi-timeframe, i.e. you can see
the 200 day SMA on a 15 minute chart.
Four moving averages are also included for the current timeframe (20, 50, 100 and 200 EMA).
Not all moving averages are enabled by default. You can turn individual moving averges on or off in the
"Style" tab of the indicator's settings.
The way I see moving averages is that they do not represent a magic mathematical truth, but are simply the
result of many people agreeing on the same parameters. I guess the origin were five working days in a week
and therefore a month would be four times five, i.e. a 20 day SMA. 200 days are probably an estimate of
the work days in a year and the 50 day SMA represents a quarter year.
There are many indicators on TradingView that offer various adjustable moving averages, including
combinations and multi-timeframe. But my interest was to have an indicator with the most popular moving
averages and it should be multi-timeframe capable. By design I did not want to make the periods adjustable,
but you could add this easily if you like.
Here are some examples of poplular moving averages:
20 unit EMA : support on 4h BTC chart, Carl the Moon
20, 50, 100, 200 day SMA : classic trading all charts, Benjamin Cowen, Tone Vays
20, 50, 100, 200 week SMA: Benjamin Cowen
21 week EMA: well known BTC support, Benjamin Cowen
800 hour EMA: Traders Reality -> not possible in TradingView, represented as 33 day EMA
Known problems:
- I have not found a way to turn off floating labels according to a plot's state chosen in the "Style"
tab. So you will still see the label floating around even if you have turned off the moving average's
line. But you can always turn of all the floating labels in the settings.
- I have observed unexpected differences on multi-timeframe values: For example, looking at the true 20
week SMA on a weekly BTC chart showed a present time value of 43821 USD, but the value was 43908 USD
for the result of this call used in this script: security(syminfo.tickerid, "W", sma(close, 20))
The difference went away when switching my chart to weekly and back to 15 minutes.
Please comment if you know of other moving averages that are often and successfully used or if you find
that one of the included moving averages is irrelevant and should be removed from this script.
And I would very much appreciate any input regarding the mentioned known problems.
CCI BBThis indicator is the idea of giorno_4_16 .
It shows some indicator lines in your main chart as following:
SMA300, EMA200
BB 20 1,2,3sigma and middle
BB 300 1,2,3sigma and middle
You should put CCI (12, 14) into your separated chart to use the idea.
It shows arrows for registance trading when:
CCI(12) crossovers -200 or corssunders 200 in recent 6bars,
and the price crosses indicator line of SMA200, EMA200 and BB300 1,2,3sigma.
When CCI crossovers -200, you can condisider buying.
When CCI crossunders 200, you can condisider selling.
You should use this indicator in 1H or 4H.
When an arrow appears in 1H, change timeframe to 4H and check the slope of BB20.
If the slope is gentle, take-profit target is MA20 of 1H.
If the slope is steep(ex. CCI crossovers -200 and 4H BB20 go up steeply), take-profit target is BB20 2sigma of 1H.
FOMO DRIVEN DEVELOPMENT OPTIONS RETICLE Options Reticle caters to degenerate traders and gamblers worldwide, reaching out for long distant contract expiration and just OTM strike placement.
Generate the overlay yourself using the tradingview-options-reticle CLI tool found on GitHub.
The Options Reticle provides a targeting system overlay that will show a horizontal OTM strike price and verticle expiration target. If you're thinking as soon as the expiration date has passed, this overlay will be useless; you're right but, you can use the options-reticle CLI tool to generate a new overlay from a watchlist exported from TradingView.
OVERLAY FEATURES:
Quick Action PUT (QAP) Mode - When you flip the chart by adding a 0- in front of the symbol, you will see the PUT contract target. Strike Price / Expiration Crosshairs.
Fill Mode - Shows a fill between the historical price and the target strike price. It will show green when ITM and red when OTM. Target information panel - Shows the company name, days till expiration, month and day of expiration, strike price, dollars OTM or ITM, and the contract type.
Emotion Indicator - Shows an exact representation of your feelings based on if you were in the trade. It has an accuracy of 99.9 percent.
QUICK ACTION PUT (QAP) MODE :
This style of reticle is not visible until you flip the chart. The advantage of the (QAP) is that it maintains the same appearance as the standard style of reticle, making PUT contract targeting feel the same. When targeting with (QAP) mode, be aware that the chart prices are reversed. Up is down, and down is up; this can be confusing but will feel normal overtime. Activate QAP mode by appending a 0- to the symbol of the chart. If nothing appears, no put option data was found for that symbol.
CALIBRATING YOUR RETICLE :
The overlay is generated using the options-reticle CLI tool found on GitHub. The adjustment script will parse a watchlist exported from TradingView then download options data for each ticker in the watchlist. The max amount of symbols you can add to a single overlay is about 200. Any more than 200 and the overlay will crash. Luckily, If you use a TradingView watchlist with more than 200 ticker symbols to generate overlays, the options-reticle command-line tool will automatically create multiple overlays with 200 tickers each. You can add multiple overlays to your chart to get all the tickers in the watchlist.
RETICLE GENERATION AND MOUNTING :
Add all the tickers you want to track into a watchlist on Tradingview.
Export the watchlist into a txt file using TradingView's watchlist export list button.
Open the terminal and change to the directory with the downloaded watchlist txt file.
Install options-reticle command tool with pipx. pipx install tradingview-options-reticle.
Run the command options-reticle download --watchlist {name of watchlist.txt file}. This will download the options data to an options_data.toml in the same directory as the watchlist txt file.
Run the command options-reticle build --options-data-input-path options_data.toml. This will generate the overlay scripts. If the watch list has more than 200 ticker symbols, it will generate a separate overlay script for every 200 ticker symbol chunk.
Copy and paste each of the generated overlay scripts one at a time into the Pine Editor on TradingView, then click the Add to Chart button. Make sure you copy the entire code.
FUTURE FEATURES :
Give the choice to generate PUT option contracts without using QAP mode. This option will allow you to use the input settings to change the contract type without flipping the chart.
Max OTM target argument - This will allow the option-reticle CLI to generate overlays with deeper OTM contracts. It currently only searches for the first OTM contract.
Add the ability to change the crosshair line type.
Modified Donchian ChannelRelease Note:
This indicator setup highly inspired by Donchian Channel and Hull Moving Average. Big thanks to both Richard Donchian and Alan Hull.
Back test and live test it and come to conclusion of how to use this indicator for live trading.
200 HMA:
200 Hull Moving Average plays major role in deciding the right trades using Donchian Channel. As part of this setup,
If price is below 200 HMA, then the Donchian Channel is highlighted in Red color
If price is above 200 HMA, then the Donchian Channel is highlighted in Green color
Donchian Channel:
Default 20 period is used for the Donchian channel. However, the color highlight as per 200 HMA position. Also, the middle basis color changes to Green and Red based on candle close of above or below.
Additionally, 5 period Donchian basis is used as tight stop loss. This can be used wisely or optionally based on trade decisions
Disclaimer:
//Idea of publishing this script is to identify the strength of the instrument using multiple confirmation.
//Using this indicator, changing inputs, and trading decisions are up to the users/traders.
//Courtesy: Thanks to Richard Donchian and Alan Hull as this indicator/script inspired by Donchian Channels and Hull Moving Average
Correlation Coefficient & Coefficient of DeterminationMeasures the correlation between 2 assets, along with the coefficient of determination of the average of 200 candles. By default, 2 correlations are presented but only 1 with a coefficient of determination (default 200).
Default assets are XBTUSD and SPX
A value of 1 for R(200) gives a strong linear correlation between 2 assets
A value of 0 for R(200) suggests no linear correlation
A value of -1 for R(200) suggests a negative linear correlation between 2 assets
A coefficient of determination (R2) of 1 suggests confidence in the variability of the response data around mean.
A coefficient of determination (R2) of 0 suggests no confidence in the variability of the response data around mean.
Multi SMA EMA WMA HMA BB (4x3 MAs Bollinger Bands) Pro MTF - RRBMulti SMA EMA WMA HMA 4x3 Moving Averages with Bollinger Bands Pro MTF by RagingRocketBull 2018
Version 1.0
This indicator shows multiple MAs of any type SMA EMA WMA HMA etc with BB and MTF support, can show MAs as dynamically moving levels.
There are 4 MA groups + 1 BB group. You can assign any type/timeframe combo to a group, for example:
- EMAs 50,100,200 x H1, H4, D1, W1 (4 TFs x 3 MAs x 1 type)
- EMAs 8,13,21,55,100,200 x M15, H1 (2 TFs x 6 MAs x 1 type)
- D1 EMAs and SMAs 12,26,50,100,200,400 (1 TF x 6 MAs x 2 types)
- H1 WMAs 7,77,231; H4 HMAs 50,100,200; D1 EMAs 144,169,233; W1 SMAs 50,100,200 (4 TFs x 3 MAs x 4 types)
- +1 extra MA type/timeframe for BB
compile time: 25-30 sec
full redraw time after parameter change in UI: 3 sec
There are several versions: Simple, MTF, Pro MTF, Advanced MTF and Ultimate MTF. This is the Pro MTF version. The Differences are listed below. All versions have BB
- Simple: you have 2 groups of MAs that can be assigned any type (5+5)
- MTF: +2 custom Timeframes for each group (2x5 MTF)
- Pro MTF: +4 custom Timeframes for each group (4x3 MTF), MA levels and show max bars back options
- Advanced MTF: +2 extra MAs/group (4x5 MTF), custom Ticker/Symbol, backreferences for type, TF and MA lengths in UI
- Ultimate MTF: +individual settings for each MA, custom Ticker/Symbols
Features:
- 4x3 = 12 MAs of any type including Hull Moving Average (HMA)
- 4x MTF groups with step line smoothing
- BB +1 extra TF/type for BB MAs
- 12 MA levels with adjustable group offsets, indents and shift
- show max bars back
- you can show/hide both groups of MAs/levels and individual MAs
Notes:
1. based on 3EmaBB, uses plot*, barssince and security functions
2. you can't set certain constants from input due to Pinescript limitations - change the code as needed, recompile and use as a private version
3. Levels = trackprice implementation
4. Show Max Bars Back = show_last implementation
5. uses timeframe textbox instead of input resolution to allow for 120 240 and other custom TFs. Also supports TFs in hours: 2H or H2
6. swma has a fixed length = 4, alma and linreg have additional offset and smoothing params
7. Smoothing is applied by default for visual aesthetics on MTF. To use exact ma mtf values (lines with stair stepping) - disable it
MTF Notes:
- uses simple timeframe textbox instead of input resolution dropdown to allow for 120, 240 and other custom TFs, also supports timeframes in H: 2H, H2
- Groups that are not assigned a Custom TF will use Current Timeframe (0).
- MTF will work for any MA type assigned to the group
- MTF works both ways: you can display a higher TF MA/BB on a lower TF or a lower TF MA/BB on a higher TF.
- MTF MA values are normally aligned at the boundary of their native timeframe. This produces stair stepping when a higher TF MA is viewed on a lower TF.
Therefore X Y Point Density/Smoothing is applied by default on MA MTF for visual aesthetics. Set both to 0 to disable and see exact ma mtf values (lines with stair stepping and original mtf alignment).
- Smoothing is disabled for BB MTF bands because fill doesn't work with smoothed MAs after duplicate values are replaced with na.
- MTF MA Value fluctuation is possible on the current bar due to default security lookahead
Smoothing:
- X,Y == 0 - X,Y smoothing disabled (stair stepping on high TFs)
- X == 0, Y > 0 - X,Y smoothing applied to all TFs
- Y == 0, X > 0 - X smoothing applied to all TFs < deltaX_max_tf, Y smoothing disabled
- X > 0, Y > 0 - Y smoothing applied to all TFs, then X smoothing applied to all TFs < deltaX_max_tf
X Smoothing with Y == 0 - shows only every deltaX-th point starting from the first bar.
X Smoothing with Y > 0 - shows only every deltaX-th point starting from the last shown Y point, essentially filling huge gaps remaining after Y Smoothing with points and preserving the curve's general shape
X Smoothing on high TFs with already scarce points produces weird curve shapes, it works best only on high density lower TFs
Y Smoothing reduces points on all TFs, removes adjacent points with prices within deltaY, while preserving the smaller curve details.
A combination of X,Y produces the most accurate smoothing. Higher delta value - larger range, more points removed.
Show Max Bars Back:
- can't set plot show_last from input -> implemented using a timenow based range check
- you can't delete/modify history once plotted, so essentially it just sets a start point for plotting (from num_bars bars back) that works only in realtime mode (not in replay)
Levels:
You can plot current MA value using plot trackprice=true or by checking Show Price Line in Style. Problem is:
- you can only change color (not the dashed line style, width), have both ma + price line (not just the line), and it's full screen wide
- you can't set plot trackprice from input => implemented using plotshape/plotchar with fixed text labels serving as levels
- there's no other way of creating a dynamic level: hline, plot, offset - nothing else works.
- you can't plot a text var - all text strings must be constants, so you can't change the style, width and text labels without recompiling.
- from input you can only adjust offset, indent and shift for each level group, and change color
- the dot below each level line is the exact MA value. If you want just the line swap plotshape with plotchar, recompile and save as your private version, adjust Y shift.
To speed up redraw times: reduce last_bars to ~2000, recompile and use as your own private version
Pinescript is a rudimentary language (should be called Painscript instead) that can basically only plot data. You can't do much else. Please see the code for tips and hints.
Certain things just can't be done or require shady workarounds and weeks of testing trying to resolve weird node.js compiler errors.
Feel free to learn from/reuse/change the code as needed and use as your own private version. See comments in code. Good Luck!
Alt Season vs USDT Flow DashboardWhat the script tells you (the signals)
It builds four “alt vs stables” lenses and colors the background when they agree.
ALT ex-ETH / STABLES (TOTAL3 / (USDT+USDC+DAI))
Think: “How much alt cap per $1 of dry-powder stables?”
Bullish when price is above its 200-day SMA and rising → risk appetite expanding toward smaller alts.
ALT Share of Risk-On ((TOTAL − STABLES − BTC − ETH) / (TOTAL − STABLES))
Of the non-stable crypto pie, how much is flowing to ex-BTC/ETH alts?
Uptrend = broadening alt participation (late-early to mid alt-season behavior).
Dominance Spread ((TOTAL3 / TOTAL) − (STABLES / TOTAL))
Alts’ share minus stables’ share.
Widening spread means stables are being converted into alts (not just into BTC).
Flow Ratio ROC(TOTAL3, N) / ROC(STABLES, N) (default N=30 days)
Compares alts’ growth rate to stable supply growth.
> 1 and sustained → alts expanding faster than new “dry powder” is appearing.
The background color (“regime”)
Green (ALT-on) when all three conditions align:
ALT/Stable > its SMA
Dominance Spread > its SMA
Flow Ratio > 1
Red (ALT-off) when the opposite holds.
No color = mixed/chop.
How to read it (quick playbook)
Early alt-season tell:
BTC.D starts to slip, total market cap (TOTAL) rising.
ALT/Stable breaks above its 200-SMA and stays there.
Dominance Spread climbs (alts gaining share, stables losing share).
Flow Ratio > 1 for a few weeks.
Maturing phase: ALT Share of Risk-On rises (money broadens from ETH/L1s → mid/small caps).
Exhaustion/false start: Flow Ratio dips < 1 or ALT/Stable loses the 200-SMA while BTC.D stabilizes or rises.
Practical tips
Timeframes: Make calls on 1D. Use 1W to avoid whipsaw; use 4H only for entries once the 1D regime is green.
Smoothing: If you see noisy spikes from market-cap revisions, add a light smoother (e.g., 7D SMA on the plotted lines).
Parameters:
Try ROC length 21–45 days.
Try SMA 150–250 days (200 is a good middle).
Confluence: Keep BTC.D and ETH.D in another pane. Best alt windows: BTC.D trending down, ETH.D flat-to-up initially, then ETH.D flattens as TOTAL3 momentum spreads to mid/small caps.
Risk checks: If USDT.D/USDC.D (stable dominance) spike up while your signals are green, that’s a caution flag (capital retreating to stables).
Gemini Trend Following SystemStrategy Description: The Gemini Trend Following System
Core Philosophy
This is a long-term trend-following system designed for a position trader or a patient swing trader, not a day trader. The fundamental goal is to capture the majority of a stock's major, multi-month or even multi-year uptrend.
The core principle is: "Buy weakness in a confirmed uptrend, and sell only when the uptrend's structure is fundamentally broken."
It operates on the belief that it's more profitable to ride a durable trend than to chase short-term breakouts or worry about daily price fluctuations. It prioritizes staying in a winning trade over frequent trading.
The Three Pillars of the Strategy
The script's logic is built on three distinct pillars, processed in order:
1. The Regime Filter: "Is This Stock in a Healthy Uptrend?"
Before even considering a trade, the script acts as a strict gatekeeper. It will only "watch" a stock if it meets all the criteria of a healthy, long-term uptrend. This is the most important part of the strategy as it filters out weak or speculative stocks.
A stock passes this filter if:
The 50-day Simple Moving Average (SMA) is above the 200-day SMA. This is the classic definition of a "Golden Cross" state, indicating the medium-term trend is stronger than the long-term trend—a hallmark of a bull market for the stock.
The stock's performance over the last year is positive. The Rate of Change (ROC) must be above a minimum threshold (e.g., 15%). This ensures we are only looking at stocks that have already demonstrated significant strength.
The 200-day SMA itself is rising. This is a crucial check to ensure the very foundation of the trend is solid and not flattening out or beginning to decline.
If a stock doesn't meet these conditions, the script ignores it completely.
2. The Entry Trigger: "When to Buy the Dip"
Once a stock is confirmed to be in a healthy uptrend, the script does not buy immediately. Instead, it patiently waits for a point of lower risk and higher potential reward—a pullback.
The entry trigger is a specific, two-step sequence:
The stock price first dips and closes below its 50-day SMA. This signifies a period of temporary weakness or profit-taking.
The price then recovers and closes back above the 50-day SMA within a short period (10 bars).
This sequence is a powerful signal. It suggests that institutional buyers view the 50-day SMA as a key support level and have stepped in to defend it, overpowering the sellers. The entry occurs at this point of confirmed support, marking the likely resumption of the uptrend. On the chart, this event is highlighted with a teal background.
3. The Exit Strategy: "When is the Trend Over?"
The exit logic is designed to keep you in the trade as long as possible and only sell when the trend's character has fundamentally changed. It uses a dual-exit system:
Primary Exit (Trend Failure): The main reason to sell is a "Death Cross"—when the 50-day SMA crosses below the 200-day SMA. This is a robust, albeit lagging, signal that the long-term uptrend is over and a bearish market structure is taking hold. This exit condition is designed to ignore normal market corrections and only trigger when the underlying trend has truly broken. On the chart, this is highlighted with a maroon background.
Safety-Net Exit (Catastrophic Stop-Loss): To protect against a sudden market crash or a company-specific disaster, a "safety-net" stop-loss is placed at the time of entry. This stop is set far below the entry price, typically underneath the 200-day SMA. It is a "just-in-case" measure that should only be triggered in a severe and rapid decline, protecting your capital from an unexpected black swan event.
Who is This Strategy For?
Position Traders: Investors who are comfortable holding a stock for many months to over a year.
Patient Swing Traders: Traders who want to capture large price swings over weeks and months, not days.
Investors using a Rules-Based Approach: Anyone looking to apply a disciplined, non-emotional system to their long-term portfolio.
Ideal Market Conditions
This strategy excels in markets with clear, durable trends. It performs best on strong, leading stocks during a sustained bull market. It will underperform significantly or generate losses in choppy, sideways, or range-bound markets, where the moving averages will frequently cross back and forth, leading to "whipsaw" trades.
CCI Turbo Pro [CongTrader]📄 Full Description for Publishing — CCI Turbo Pro
⚡️ CCI Turbo Pro — Advanced CCI with Reversal Zones & Alerts
This advanced CCI (Commodity Channel Index) indicator is built for traders who want enhanced reversal signals, customizable extreme zones, and dynamic alerts. It improves the classic CCI with better visual cues and momentum filtering to help you avoid false signals.
🛠️ How to Use:
CCI Length (default = 20): Adjust based on your trading timeframe.
Overbought/Oversold Zones:
Overbought = 200
Oversold = -200
Extreme OB = 300 (red zone)
Extreme OS = -300 (green zone)
When the CCI crosses from below −200 → BUY signal
When the CCI crosses from above +200 → SELL signal
Background turns green/red in extreme zones
Optional labels show entry signals clearly
This indicator is useful for:
Reversal Trading
Momentum Shifts
Scalping, Swing, or Intraday strategies
Overbought/Oversold Confirmation
Works on:
Any asset (Crypto, Forex, Stocks, Indices)
Any timeframe
🔔 Alerts Included:
📈 CCI Buy Alert → CCI crossed up from oversold
📉 CCI Sell Alert → CCI crossed down from overbought
🚨 Extreme OB/OS Alert → CCI enters extreme reversal zone
Alerts help you stay informed even when away from the screen.
🔎 Keywords (for search discovery):
CCI, CCI Reversal, CCI Alert, Turbo CCI, Advanced CCI, CCI Zones, CCI Overbought, CCI Oversold, Momentum Reversal, CCI Scalping, CongTrader, CCI Buy Sell, Technical Indicator
🙏 Thank You
If this indicator adds value to your trading, please give it a 👍, leave a comment, or follow for more free tools from CongTrader. Your support helps independent creators grow the community.
⚠️ Disclaimer
This indicator is for educational purposes only and does not constitute financial advice. Use this tool with your own judgment and risk management. Past performance does not guarantee future results.
✍️ Created by CongTrader — Free, Open-Source Tools for Smarter Traders...
Smart Price Divergence (MACD Filter) + EMA📌 Purpose
This indicator detects Price Divergences with MACD filtered by a 200 EMA trend condition.
It helps identify high-probability reversal zones aligned with market trend context.
🧠 How It Works
1. MACD Divergence Logic
Bearish Divergence:
Price makes a higher high.
MACD makes a lower high.
Price is above EMA (indicating possible exhaustion in bullish trend).
Bullish Divergence:
Price makes a lower low.
MACD makes a higher low.
Price is below EMA (indicating possible exhaustion in bearish trend).
2. EMA Trend Filter
EMA(200) is used as a directional filter:
Bearish divergences considered above EMA (extended bullish conditions).
Bullish divergences considered below EMA (extended bearish conditions).
3. Visual & Alerts
EMA(200) plotted on chart in orange.
Red triangles for Bearish Divergence.
Green triangles for Bullish Divergence.
Alerts fire for both divergence types.
📈 How to Use
Look for divergence signals as potential reversal alerts.
Combine with support/resistance or price action for confirmation.
EMA ensures signals occur in extended zones, increasing reliability.
Recommended Timeframes: 1h, 4h, D.
Markets: Forex, Crypto, Stocks.
⚙️ Inputs
MACD Fast / Slow / Signal Length
EMA Length (default 200)
⚠️ Disclaimer
This script is for educational purposes only. It does not constitute financial advice.
Always test thoroughly before live trading.
Discord Levels (Label Toggle)This indicator is designed to streamline your multi-asset level tracking by displaying custom price levels directly on your chart for up to eight different stocks. It allows you to define key support, resistance, and moving average levels, enhancing your analysis across various instruments.
Key Features:
Multi-Stock Level Display: Track important levels for up to 8 distinct stock symbols simultaneously.
Customizable Level Inputs: Define all your desired price levels using a simple space-separated string for each stock.
Intelligent Color-Coding: Levels are automatically color-coded for quick identification based on the associated notes in your input string:
White Line: Standard price levels (e.g., 123.45).
Yellow Line: Levels designated as 200 Daily EMA (e.g., 18.70=daily 200 ema).
Blue Line: Levels designated as 50 Daily EMA (e.g., 18.70=daily 50 ema).
Gray Line: Levels designated as 34 Daily EMA (e.g., 18.70=daily 34 ema).
Green Line: Levels designated as 9 Daily EMA (e.g., 18.70=daily 9 ema).
Red Line: Critical or Cautionary levels (e.g., 9.00=cautionary).
Dynamic Label Positioning: Price labels are displayed next to the lines, dynamically positioned to the right of the current bar (30 bars offset) for optimal visibility across different timeframes.
Global Label Toggle: Easily enable or disable all price labels from the indicator's settings.
How to Use:
Input Stock Symbol: For each slot (Stock 1 to Stock 8) you wish to use, enter the exact TradingView symbol (e.g., AAPL, MSFT, TSLA).
Input Levels String: In the corresponding "Levels" input field, enter your desired price levels separated by spaces.
Basic Level: Just enter the number (e.g., 12.34).
Levels with Notes: Use the format PRICE=NOTE for specific annotations (e.g., 18.70=daily 200 ema, 9.00=cautionary).
Supported Notes for Automatic Coloring: daily 200 ema, daily 50 ema, daily 34 ema, daily 9 ema, cautionary, critical. (Case-insensitive)
Manage Slots: If you need to track more than 8 stocks, simply clear the symbol and levels for an old stock and use that slot for your new entry.
This indicator is a powerful tool for traders who rely on fixed price levels and moving averages across multiple securities, providing clear visual cues without cluttering your main chart analysis.
Ultimate JLines & MTF EMA (Configurable, Labels)## Ultimate JLines & MTF EMA (Configurable, Labels) — Script Overview
This Pine Script is a comprehensive, multi-timeframe indicator based on J Trader concepts. It overlays various Exponential Moving Averages (EMAs), VWAP, inside bar highlights, and dynamic labels onto price charts. The script is highly configurable, allowing users to tailor which elements are displayed and how they appear.
### Key Features
#### 1. **Multi-Timeframe JLines**
- **JLines** are pairs of EMAs (default lengths: 72 and 89) calculated on several timeframes:
- 1 minute (1m)
- 3 minutes (3m)
- 5 minutes (5m)
- 1 hour (1h)
- Custom timeframe (user-selectable)
- Each pair can be visualized as individual lines and as a "cloud" (shaded area between the two EMAs).
- Colors and opacity for each timeframe are user-configurable.
#### 2. **200 EMA on Multiple Timeframes**
- Plots the 200-period EMA on selectable timeframes: 1m, 3m, 5m, 15m, and 1h.
- Each can be toggled independently and colored as desired.
#### 3. **9 EMA and VWAP**
- Plots a 9-period EMA, either on the chart’s current timeframe or a user-specified one.
- Plots VWAP (Volume-Weighted Average Price) for additional trend context.
#### 4. **5/15 EMA Cross Cloud (5min)**
- Calculates and optionally displays a shaded "cloud" between the 5-period and 15-period EMAs on the 5-minute chart.
- Highlights bullish (5 EMA above 15 EMA) and bearish (5 EMA below 15 EMA) conditions with different colors.
- Optionally displays the 5 and 15 EMA lines themselves.
#### 5. **Inside Bar Highlighting**
- Highlights bars where the current high is less than or equal to the previous high and the low is greater than or equal to the previous low (inside bars).
- Color is user-configurable.
#### 6. **9 EMA / VWAP Cross Arrows**
- Plots up/down arrows when the 9 EMA crosses above or below the VWAP.
- Arrow colors and visibility are configurable.
#### 7. **Dynamic Labels**
- On the most recent bar, displays labels for each enabled line (EMAs, VWAP), offset to the right for clarity.
- Labels include the timeframe, type, and current value.
### Customization Options
- **Visibility:** Each plot (line, cloud, arrow, label) can be individually toggled on/off.
- **Colors:** All lines, clouds, and arrows can be colored to user preference, including opacity for clouds.
- **Timeframes:** JLines and EMAs can be calculated on different timeframes, including a custom one.
- **Label Text:** Labels dynamically reflect current indicator values and are color-coded to match their lines.
### Technical Implementation Highlights
- **Helper Functions:** Functions abstract away the logic for multi-timeframe EMA calculation.
- **Security Calls:** Uses `request.security` to fetch data from other timeframes, ensuring accurate multi-timeframe plotting.
- **Efficient Label Management:** Deletes old labels and creates new ones only on the last bar to avoid clutter and maintain performance.
- **Conditional Plotting:** All visual elements are conditionally plotted based on user input, making the indicator highly flexible.
### Use Cases
- **Trend Identification:** Multiple EMAs and VWAP help traders quickly identify trend direction and strength across timeframes.
- **Support/Resistance:** 200 EMA and JLines often act as dynamic support/resistance levels.
- **Entry/Exit Signals:** Crosses between 9 EMA and VWAP, as well as 5/15 EMA clouds, can signal potential trade entries or exits.
- **Pattern Recognition:** Inside bar highlights aid in spotting consolidation and breakout patterns.
### Summary Table of Configurable Elements
| Feature | Timeframes | Cloud Option | Label Option | Color Customizable | Description |
|----------------------------|-------------------|--------------|--------------|--------------------|-----------------------------------------------|
| JLines (72/89 EMA) | 1m, 3m, 5m, 1h, Custom | Yes | Yes | Yes | Key trend-following EMAs with cloud fill |
| 200 EMA | 1m, 3m, 5m, 15m, 1h | No | Yes | Yes | Long-term trend indicator |
| 9 EMA | Any | No | Yes | Yes | Short-term trend indicator |
| VWAP | Chart TF | No | Yes | Yes | Volume-weighted average price |
| 5/15 EMA Cloud (5m) | 5m | Yes | No | Yes | Bullish/bearish cloud between 5/15 EMAs |
| Inside Bar Highlight | Chart TF | No | N/A | Yes | Highlights price consolidation |
| 9 EMA / VWAP Cross Arrows | Chart TF | No | N/A | Yes | Marks EMA/VWAP crossovers with arrows |
This script is ideal for traders seeking a robust, multi-timeframe overlay that combines trend, momentum, and pattern signals in a single, highly customizable indicator. I do not advocate to subscribe to JTrades or the system they tout. This is based on my own observations and not a copy of any JTrades scripts. It is open source to allow full transparency.
Aggregated VolumeHow to Read the “Aggregated Volume” Signal
This indicator combines normalized volume, short-term volume bursts, pivot levels, VWAP, and a 200-period EMA to give you a multi-dimensional view of trading activity. Here’s how to interpret each component and synthesize them into actionable insights.
1. Custom Volume Signal (vSignal)
• Calculation
• vSignal = Sum of over bars, divided by the current price.
• A rising vSignal means more volume is being traded per unit of price, signaling growing interest relative to price level.
• Plot styling
• Bars are lime when (bullish volume days)
• Bars are orange when (bearish volume days)
How to read it
• Trend confirmation: Increasing lime bars alongside rising price suggests buyers in control.
• Warning sign: Rising orange bars on a down move indicate accelerating selling pressure.
• Divergence:
• Price making new highs while vSignal stalls or drops → potential top.
• Price making new lows while vSignal holds → potential bottom.
2. Short-Term Volume Bursts
Three semi-transparent histograms show how much the last 2, 5, and 10-bar raw volumes exceed (or fall below) the current vSignal:
• Blue = vol(2) – vSignal
• Green = vol(5) – vSignal
• Red = vol(10) – vSignal
If a colored bar sits above zero, that lookback’s volume is surging relative to the longer-term average (vSignal).
How to read it
• Clustered bursts:
• Blue + Green + Red above zero → strong, broad-based volume surge.
• Great for confirming breakouts and shakeouts.
• Isolated burst:
• Only Blue (> 0) on a small range bar → might be a false breakout or intrabar squeeze.
• Only Red (> 0) on a wide range → institutional involvement; act with caution.
3. Pivot Volume Levels (v & t)
• Every 21 bars, the script finds the highest and lowest vSignal values and plots them as shaded price levels:
• Magenta area = recent vSignal high (resistance)
• Cyan area = recent vSignal low (support)
How to read it
• Rejection/Break:
• Price approaches magenta zone and stalls → sellers defending that volume high.
• Break above magenta with high vSignal → likely sustained rally.
• Support flip:
• Cyan zone hold → buyers stepping in at heavy-volume lows.
• Break below cyan with rising vSignal → bearish conviction.
4. Midline Cross (Volume Equilibrium)
• A 10-bar SMA of
• Drawn as a faint white cross on price
How to read it
• Above midline → overall volume bias is skewed bullish.
• Below midline → bearish volume bias.
Crossovers of vSignal through this midline can signal shifts in underlying conviction.
5. VWAP & 200-Period EMA Overlays
• VWAP (transparent red if above price, green if below)
• EMA(200) plotted as aqua circles
How to read them
• VWAP tells you the intraday “value area.”
• Price above VWAP + rising vSignal = intraday buyers in charge.
• Price below VWAP + rising vSignal = aggressive sellers.
• EMA(200) gives you the longer-term trend.
• Above EMA200 = bullish regime
• Below EMA200 = bearish regime
6. Putting It All Together: Example Scenarios
1. Bullish Entry
• Price > EMA200 & VWAP is green
• vSignal rising in lime
• All three short-term bursts above zero
• Price near or breaking the magenta pivot with volume confirmation
2. Bearish Entry
• Price < EMA200 & VWAP is red
• vSignal rising in orange
• Two-bar burst (blue) spikes on a down bar
• Price failing at magenta pivot or breaking cyan support
3. Divergence Play
• Price makes new high, but vSignal peaks lower than last high → look for a reversal.
• Price drops to new low, but vSignal stays above its last low → prepare for a bounce.
By combining these layers—normalized volume, burst indicators, pivot levels, VWAP, and EMA—you get a clear map of where volume is clustering, which lets you anticipate support/resistance, gauge real interest, and spot potential reversals or breakouts with greater confidence.
Active PMI Support/Resistance Levels [EdgeTerminal]The PMI Support & Resistance indicator revolutionizes traditional technical analysis by using Pointwise Mutual Information (PMI) - a statistical measure from information theory - to objectively identify support and resistance levels. Unlike conventional methods that rely on visual pattern recognition, this indicator provides mathematically rigorous, quantifiable evidence of price levels where significant market activity occurs.
- The Mathematical Foundation: Pointwise Mutual Information
Pointwise Mutual Information measures how much more likely two events are to occur together compared to if they were statistically independent. In our context:
Event A: Volume spikes occurring (high trading activity)
Event B: Price being at specific levels
The PMI formula calculates: PMI = log(P(A,B) / (P(A) × P(B)))
Where:
P(A,B) = Probability of volume spikes occurring at specific price levels
P(A) = Probability of volume spikes occurring anywhere
P(B) = Probability of price being at specific levels
High PMI scores indicate that volume spikes and certain price levels co-occur much more frequently than random chance would predict, revealing genuine support and resistance zones.
- Why PMI Outperforms Traditional Methods
Subjective interpretation: What one trader sees as significant, another might ignore
Confirmation bias: Tendency to see patterns that confirm existing beliefs
Inconsistent criteria: No standardized definition of "significant" volume or price action
Static analysis: Doesn't adapt to changing market conditions
No strength measurement: Can't quantify how "strong" a level truly is
PMI Advantages:
✅ Objective & Quantifiable: Mathematical proof of significance, not visual guesswork
✅ Statistical Rigor: Levels backed by information theory and probability
✅ Strength Scoring: PMI scores rank levels by statistical significance
✅ Adaptive: Automatically adjusts to different market volatility regimes
✅ Eliminates Bias: Computer-calculated, removing human interpretation errors
✅ Market Structure Aware: Reveals the underlying order flow concentrations
- How It Works
Data Processing Pipeline:
Volume Analysis: Identifies volume spikes using configurable thresholds
Price Binning: Divides price range into discrete levels for analysis
Co-occurrence Calculation: Measures how often volume spikes happen at each price level
PMI Computation: Calculates statistical significance for each price level
Level Filtering: Shows only levels exceeding minimum PMI thresholds
Dynamic Updates: Refreshes levels periodically while maintaining historical traces
Visual System:
Current Levels: Bright, thick lines with PMI scores - your actionable levels
Historical Traces: Faded previous levels showing market structure evolution
Strength Tiers: Line styles indicate PMI strength (solid/dashed/dotted)
Color Coding: Green for support, red for resistance
Info Table: Real-time display of strongest levels with scores
- Indicator Settings:
Core Parameters
Lookback Period (Default: 200)
Lower (50-100): More responsive to recent price action, catches short-term levels
Higher (300-500): Focuses on major historical levels, more stable but less responsive
Best for: Day trading (100-150), Swing trading (200-300), Position trading (400-500)
Volume Spike Threshold (Default: 1.5)
Lower (1.2-1.4): More sensitive, catches smaller volume increases, more levels detected
Higher (2.0-3.0): Only major volume surges count, fewer but stronger signals
Market dependent: High-volume stocks may need higher thresholds (2.0+), low-volume stocks lower (1.2-1.3)
Price Bins (Default: 50)
Lower (20-30): Broader price zones, less precise but captures wider areas
Higher (70-100): More granular levels, precise but may be overly specific
Volatility dependent: High volatility assets benefit from more bins (70+)
Minimum PMI Score (Default: 0.5)
Lower (0.2-0.4): Shows more levels including weaker ones, comprehensive view
Higher (1.0-2.0): Only statistically strong levels, cleaner chart
Progressive filtering: Start with 0.5, increase if too cluttered
Max Levels to Show (Default: 8)
Fewer (3-5): Clean chart focusing on strongest levels only
More (10-15): Comprehensive view but may clutter chart
Strategy dependent: Scalpers prefer fewer (3-5), swing traders more (8-12)
Historical Tracking Settings
Update Frequency (Default: 20 bars)
Lower (5-10): More frequent updates, captures rapid market changes
Higher (50-100): Less frequent updates, focuses on major structural shifts
Timeframe scaling: 1-minute charts need lower frequency (5-10), daily charts higher (50+)
Show Historical Levels (Default: True)
Enables the "breadcrumb trail" effect showing evolution of support/resistance
Disable for cleaner charts focusing only on current levels
Max Historical Marks (Default: 50)
Lower (20-30): Less memory usage, shorter history
Higher (100-200): Longer historical context but more resource intensive
Fade Strength (Default: 0.8)
Lower (0.5-0.6): Historical levels more visible
Higher (0.9-0.95): Historical levels very subtle
Visual Settings
Support/Resistance Colors: Choose colors that contrast well with your chart theme Line Width: Thicker lines (3-4) for better visibility on busy charts Show PMI Scores: Toggle labels showing statistical strength Label Size: Adjust based on screen resolution and chart zoom level
- Most Effective Usage Strategies
For Day Trading:
Setup: Lookback 100-150, Volume Threshold 1.8-2.2, Update Frequency 10-15
Use PMI levels as bounce/rejection points for scalp entries
Higher PMI scores (>1.5) offer better probability setups
Watch for volume spike confirmations at levels
For Swing Trading:
Setup: Lookback 200-300, Volume Threshold 1.5-2.0, Update Frequency 20-30
Enter on pullbacks to high PMI support levels
Target next resistance level with PMI score >1.0
Hold through minor levels, exit at major PMI levels
For Position Trading:
Setup: Lookback 400-500, Volume Threshold 2.0+, Update Frequency 50+
Focus on PMI scores >2.0 for major structural levels
Use for portfolio entry/exit decisions
Combine with fundamental analysis for timing
- Trading Applications:
Entry Strategies:
PMI Bounce Trades
Price approaches high PMI support level (>1.0)
Wait for volume spike confirmation (orange triangles)
Enter long on bullish price action at the level
Stop loss just below the PMI level
Target: Next PMI resistance level
PMI Breakout Trades
Price consolidates near high PMI level
Volume increases (watch for orange triangles)
Enter on decisive break with volume
Previous resistance becomes new support
Target: Next major PMI level
PMI Rejection Trades
Price approaches PMI resistance with momentum
Watch for rejection signals and volume spikes
Enter short on failure to break through
Stop above the PMI level
Target: Next PMI support level
Risk Management:
Stop Loss Placement
Place stops 0.1-0.5% beyond PMI levels (adjust for volatility)
Higher PMI scores warrant tighter stops
Use ATR-based stops for volatile assets
Position Sizing
Larger positions at PMI levels >2.0 (highest conviction)
Smaller positions at PMI levels 0.5-1.0 (lower conviction)
Scale out at multiple PMI targets
- Key Warning Signs & What to Watch For
Red Flags:
🚨 Very Low PMI Scores (<0.3): Weak statistical significance, avoid trading
🚨 No Volume Confirmation: PMI level without recent volume spikes may be stale
🚨 Overcrowded Levels: Too many levels close together suggests poor parameter tuning
🚨 Outdated Levels: Historical traces are reference only, not tradeable
Optimization Tips:
✅ Regular Recalibration: Adjust parameters monthly based on market regime changes
✅ Volume Context: Always check for recent volume activity at PMI levels
✅ Multiple Timeframes: Confirm PMI levels across different timeframes
✅ Market Conditions: Higher thresholds during high volatility periods
Interpreting PMI Scores
PMI Score Ranges:
0.5-1.0: Moderate statistical significance, proceed with caution
1.0-1.5: Good significance, reliable for most trading strategies
1.5-2.0: Strong significance, high-confidence trade setups
2.0+: Very strong significance, institutional-grade levels
Historical Context: The historical trace system shows how support and resistance evolve over time. When current levels align with multiple historical traces, it indicates persistent market memory at those prices, significantly increasing the level's reliability.
SMA Crossing Background Color (Multi-Timeframe)When day trading or scalping on lower timeframes, it’s often difficult to determine whether the broader market trend is moving upward or downward. To address this, I usually check higher timeframes. However, splitting the layout makes the charts too small and hard to read.
To solve this issue, I created an indicator that uses the background color to show whether the current price is above or below a moving average from a higher timeframe.
For example, if you set the SMA Length to 200 and the MT Timeframe to 5 minutes, the indicator will display a red background on the 1-minute chart when the price drops below the 200 SMA on the 5-minute chart. This helps you quickly recognize that the trend on the higher timeframe has turned bearish—without having to open a separate chart.
デイトレード、スキャルピングで短いタイムフレームでトレードをするときに、大きな動きは上に向いているのか下に向いているのかトレンドがわからなくなることがあります。
その時に上位足を確認するのですが、レイアウトをスプリットすると画面が小さくて見えにくくなるので、バックグラウンドの色で上位足の移動平均線では価格が上なのか下なのかを表示させるインジケーターを作りました。
例えば、SMA Length で200を選び、MT Timeframeで5分を選べば、1分足タイムフレームでトレードしていて雲行きが怪しくなってくるとBGが赤になり、5分足では200線以下に突入しているようだと把握することができます。
Multi-Timeframe EMA Alignment + Listing InfoEnhanced EMA Alignment Checks
Original 4-EMA rows: Check 10EMA ≥ 20EMA ≥ 50EMA ≥ 200EMA for all timeframes
New 3-EMA rows: Check 10EMA ≥ 20EMA ≥ 50EMA (without 200EMA requirement) for weekly and monthly timeframes
Visual Distinction
White background: 4-EMA alignment rows (standard check)
Yellow background: 3-EMA alignment rows (less restrictive check)
Asterisk notation: "1W*" and "1M*" indicate the 3-EMA version
Complete Table Layout
1H: 4-EMA alignment (10≥20≥50≥200)
1D: 4-EMA alignment (10≥20≥50≥200)
1W: 4-EMA alignment (10≥20≥50≥200)
1M: 4-EMA alignment (10≥20≥50≥200)
1W* : 3-EMA alignment (10≥20≥50) - NEW
1M* : 3-EMA alignment (10≥20≥50) - NEW
Separator line
Since List: Weeks/months since listing
Benefits of This Setup:
Comprehensive Analysis: You can now see both strict (4-EMA) and relaxed (3-EMA) trend conditions
Better Entry Signals: The 3-EMA alignment might trigger earlier than 4-EMA, providing potential early entry signals
Trend Strength Assessment: When both 3-EMA and 4-EMA are aligned, it indicates very strong trend conditions
Flexible Strategy: You can use 3-EMA for trend following and 4-EMA for confirmation
The table now provides a complete multi-timeframe trend analysis with both conservative and aggressive alignment criteria, giving you more flexibility in your trading decisions.
