Medium Term Weighted Stochastic (STPMT) by DGTLa Stochastique Pondérée Moyen Terme (STPMT) , or Mᴇᴅɪᴜᴍ Tᴇʀᴍ Wᴇɪɢʜᴛᴇᴅ Sᴛᴏᴄʜᴀꜱᴛɪᴄꜱ created by Eric Lefort in 1999, a French trader and author of trading books
█ The STPMT indicator is a tool which concerns itself with both the direction and the timing of the market. The STPMT indicator helps the trader with:
The general trend by observing the level around which the indicator oscillates
The changes of direction in the market
The timing to open or close a position by observing the oscillations and by observing the relative position of the STPMT versus its moving average
STPMT Calculation
stpmt = (4,1 * stoch(5, 3) + 2,5 * stoch(14, 3) + stoch(45, 14) + 4 * stoch(75, 20)) / 11.6
Where the first argument of the stoch function representation above is period (length) of K and second argument smoothing period of K. The result series is then plotted as red line and its moving average as blue line. By default disabled gray lines are the components of the STPMT
The oscillations of the STPMT around its moving average define the timing to open a position as crossing of STMP line and moving average line in case when both trends have same direction. The moving average determines the direction.
Long examples
█ Tʜᴇ CYCLE Iɴᴅɪᴄᴀᴛᴏʀ is derived from the STPMT. It is
cycle = stpmt – stpmt moving average
It is indicates more clearly all buy and sell opportunities. On the other hand it does not give any information on market direction. The Cycle indicator is a great help in timing as it allows the trader to more easily see the median length of an oscillation around the average point. In this way the traders can simply use the time axis to identify both a favorable price and a favorable moment. The Cycle Indicator is presented as histogram
The Lefort indicators are not a trading strategy. They are tools for different purposes which can be combined and which can serve for trading all instruments (stocks, market indices, forex, commodities…) in a variety of time frames. Hence they can be used for both day trading and swing trading.
👉 For whom that would like simple version of the Cycle indicator on top of the main price chart with signals as presented below.
Please note that in the following code STMP moving average direction is not considered and will plot signals regardless of the direction of STMP moving average. It is not a non-repainting version too.
here is pine code for the overlay version
// © dgtrd
//@version=4
study("Medium Term Weighted Stochastic (STPMT) by DGT", "STPMT ʙʏ DGT ☼☾", true, format.price, 2, resolution="")
i_maLen = input(9 , "Stoch MA Length", minval=1)
i_periodK1 = input(5 , "K1" , minval=1)
i_smoothK1 = input(3 , "Smooth K1", minval=1)
i_weightK1 = input(4.1 , "Weight K1", minval=1, step=.1)
i_periodK2 = input(14 , "K2" , minval=1)
i_smoothK2 = input(3 , "Smooth K2", minval=1)
i_weightK2 = input(2.5 , "Weight K2", minval=1, step=.1)
i_periodK3 = input(45 , "K3" , minval=1)
i_smoothK3 = input(14 , "Smooth K3", minval=1)
i_weightK3 = input(1. , "Weight K3", minval=1, step=.1)
i_periodK4 = input(75 , "K4" , minval=1)
i_smoothK4 = input(20 , "Smooth K4", minval=1)
i_weightK4 = input(4. , "Weight K4", minval=1, step=.1)
i_data = input(false, "Components of the STPMT")
//------------------------------------------------------------------------------
// stochastic function
f_stoch(_periodK, _smoothK) => sma(stoch(close, high, low, _periodK), _smoothK)
//------------------------------------------------------------------------------
// calculations
// La Stochastique Pondérée Moyen Terme (STPMT) or Medium Term Weighted Stochastics calculation
stpmt = (i_weightK1 * f_stoch(i_periodK1, i_smoothK1) + i_weightK2 * f_stoch(i_periodK2, i_smoothK2) + i_weightK3 * f_stoch(i_periodK3, i_smoothK3) + i_weightK4 * f_stoch(i_periodK4, i_smoothK4)) / (i_weightK1 + i_weightK2 + i_weightK3 + i_weightK4)
stpmt_ma = sma(stpmt, i_maLen) // STPMT Moving Average
cycle = stpmt - stpmt_ma // Cycle Indicator
//------------------------------------------------------------------------------
// plotting
plotarrow(change(sign(cycle)), "STPMT Signals", color.green, color.red, 0, maxheight=41)
alertcondition(cross(cycle, 0), title="Trading Opportunity", message="STPMT Cycle : Probable Trade Opportunity\n{{exchange}}:{{ticker}}->\nPrice = {{close}},\nTime = {{time}}")
Pesquisar nos scripts por "swing trading"
Swing Reversal IndicatorSwing Reversal Indicator was meant to help identify pivot points on the chart which indicate momentum to buy and sell. The indicator uses 3 main questions to help plot the points:
Criteria
Did price take out yesterday's high or low?
Is today's range bigger than yesterday? (Indicates activity in price)
Is the close in the upper/lower portion of the candle? Thus, indicating momentum in that direction
This indicator was built to help me find pivot points for directional options trading however can be used for equities and forex swing trading and other strategies. Used in conjunction with a BB extreme can provide good setups.
Alerts are available for both the long and the short positions and the indicator will repaint as price moves.
The character Plotted can be changed in the settings
The size of the candle area can be changed as well if you want to tighten/loosen the trigger points based on the third question above.
Parabolic SAR Swing strategy GBP JPY Daily timeframeToday I bring you a new strategy thats made of parabolic sar. It has optmized values for GBPJPY Daily timeframe chart.
It also has a time period selection, in order to see how it behave between selected years.
The strategy behind it is simple :
We have an uptrend , (the psar is below our candles) we go long. We exit when our candle crosses the psar value.
The same applies for downtrend(the psar is above our candles), where we go short. We exit when our candle cross the psar value.
Among the basic indicators, it looks like PSAR is one of the best canditates for swing trading.
If you have any questions, please let me know.
Ultimate VWAP Bands- Ultimate VWAP Bands is a script that helps to decide and further clarify areas of oversold and overbought conditions.
- For example, when the price is in the lowest band it is extremely oversold relative to the VWAP . Hence it should be considered a good place to buy with a high risk to reward payoff.
- Each band is set at a fixed offset away from the VWAP . The "VWAP Band Multiplier" adjusts this and is a key part of the script. This allows the indicator to be adjusted based on the assets volatility . For example, with Crypto. A multiplier of 1 would be strongly advised. Whilst a multiplier of 0.1-0.25 would be useful for currency pairs.
- This indicator can be used for all manners of trading. However, it is most effective when used for scalping and swing trading.
[blackcat] L2 Swing Oscillator Swing MeterLevel: 2
Background
Swing trading is a type of trading aimed at making short to medium term profits from a trading pair over a period of a few days to several weeks. Swing traders mainly use technical analysis to look for trading opportunities. In addition to analyzing price trends and patterns, these traders can also use fundamental analysis.
Function
L2 Swing Oscillator Swing Meter is an oscillator based on breakouts. Another important feature of it is the swing meter, which confirms the top or bottom's confidence level with different color candles. The higher of the candles stack up, the higher confidence level is indicated.
Key Signal
absolutebot ---> absolute bottom with very high confidence level
ltbot ---> long term bottom with high confidence level
mtbot ---> middle term bottom with moderate confidence level
stbot ---> short term bottom with low confidence level
absolutetop ---> absolute top with very high confidence level
lttop ---> long term top with high confidence level
mttop ---> middle term top with moderate confidence level
sttop ---> short term top with low confidence level
fastline ---> oscillator fast line
slowline ---> oscillator slow line
Pros and Cons
Pros:
1. reconfigurable swing oscillator based on breakouts
2. swing meter can confirm/validate the bottom and top signal
Cons:
1. not appliable with trading pairs without volume information
2. small time frame may not trigger swing meter function
Remarks
This is a simple but very comprehensive technical indicator
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
L1 Mid-Term Swing Oscillator v1Level: 1
Background
Oscillators are widely used set of technical analysis indicators. They are popular primarily for their ability to alert of a possible trend change before that change manifests itself in price and volume . They should work best in times of sideways markets.
Function
L1 Short-Mid-Long-Term Swing Oscillator puts three terms of oscillators to cover short-term, middle-term and long-term oscillators at the same time. By resonating all these three oscillators, short-term scalping signal and middle term swing signal are disclosed. You can see both short and mid term signal under one indicator which give you more confidence to follow the trend.
Key Signal
I didn't handle the key signals well. I piled up all the useful signals I found, and it is really difficult to classify them one by one. I feel tired when I think about this problem. Therefore, the code of the overall signal is rather confusing, sorry.
Pros and Cons
Pros:
1. Three oscillators are used to cover short, mid, long term oscillations.
2. Short-Mid term resonance can be observed to have higher confidence level.
3. Use single indicator for scalping and swing trading is possible.
Cons:
1. No deep dive into very accurate long and short entries.
2. A trade off between sensitivity and stability may be needed by traders' subjective judge.
Remarks
I enjoyed the fun of put three different oscillator together to cover short, mid, long terms. But how to use them perfectly is really more brainstorming.
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
Why is it ok to backtest on TradingView from now on!TradingView backtester has bad reputation. For a good reason - it was producing wrong results, and it was clear at first sight how bad they were.
But this has changed. Along with many other improvements in its PineScript coding capabilities, TradingView fixed important bug, which was the main reason for miscalculations. TradingView didn't really speak out about this fix, so let me try :)
Have a look at this short code of a swing trading strategy (PLEASE DON'T FOCUS ON BACKTEST RESULTS ATTACHED HERE - THEY DO NOT MATTER). Sometimes entry condition happens together with closing condition for the already ongoing trade. Example: the condition to close Long entry is the same as a condition to enter Short. And when these two aligned, not only a Long was closed and Short was entered (as intended), but also a second Short was entered, too!!! What's even worse, that second short was not controlled with closing conditions inside strategy.exit() function and it very often lead to losses exceeding whatever was declared in "loss=" parameter. This could not have worked well...
But HOORAY!!! - it has been fixed and won't happen anymore. So together with other improvements - TradingView's backtester and PineScript is now ok to work with on standard candlesticks :)
Yep, no need to code strategies and backtest them on other platforms anymore.
----------------
Having said the above, there are still some pitfalls remaining, which you need to be aware of and avoid:
Don't backtest on HeikenAshi, Renko, Kagi candlesticks. They were not invented with backtesting in mind. There are still using wrong price levels for entries and therefore producing always too good backtesting results. Only standard candlesticks are reliable to backtest on.
Don't use Trailing Stop in your code. TradingView operates only on closed candlesticks, not on tick data and because of that, backtester will always assume price has first reached its favourable extreme (so 'high' when you are in Long trade and 'low' when you are in Short trade) before it starts to pull back. Which is rarely the truth in reality. Therefore strategies using Trailing Stop are also producing too good backtesting results. It is especially well visible on higher timeframe strategies - for some reason your strategy manages to make gains on those huge, fat candlesticks :) But that's not reality.
"when=" inside strategy.exit() does not work as you would intuitively expect. If you want to have logical condition to close your trade (for example - crossover(rsi(close,14),20)) you need to place it inside strategy.close() function. And leave StopLoss + TakeProfit conditions inside strategy.exit() function. Just as in attached code.
If you're working with pyramiding, add "process_orders_on_close=ANY" to your strategy() script header. Default setting ("=FIFO") will first close the trade, which was opened first, not the one which was hit by Stop-Loss condidtion.
----------------
That's it, I guess :) If you are noticing other issues with backtester and would like to share, let everyone know in comments. If the issue is indeed a bug, there is a chance TradingView dev team will hear your voice and take it into account when working on other improvements. Just like they heard about the bug I described above.
P.S. I know for a fact that more improvements in the backtesting area are coming. Some will change the game even for non-coding traders. If you want to be notified quickly and with my comment - gimme "follow".
Complete Trend Trading System [Fhenry0331]This system was designed for the beginner trader to make money swing trading. Your losses will be small and your gains will be mostly large. You will show consistent profit. Period.
The system works on any security you like to trade. I used GBPUSD as an example because of the up swing and down swing it had recently. I tried to put as much information of how the system works in the chart. Hope it helps and is not to cluttered.
I will reiterate how the system works here: Everything is based off of closed price.
Legend
Uptrend: Buy
Green bar: initial start of an uptrend or uptrend continuing. Place order above that bar. If the initial bar does not stray too far from the MVWAP , I will place orders above subsequent bars if no filled occurred.
If initial start of the trend is missed, I will wait for the pullback. A pullback is a close below the MVWAP, and a close above the EMA (Low), RSI is above 50. Orders are placed above the pullback bars with plotted char "B" and also plotted green triangle up. Again orders are placed above those bars. the bars do not notate automatic buys. Don't chase anything. You will miss the initial bar on something because of news or earnings and it rocket up. Just wait, it will pullback. If it doesn't, to hell with it, on to the next.
Take profits: In the indicator you will see "T." That notates to take some profits. It is a suggestion. I was always told to take profits into spikes, as well as you can never lose money if you take profits. Up to you if you want to scale out and take the suggested profits or not.
Exit Completely: In an uptrend, close your entire position on bars colored yellow or red. (Again, closed bars)
In uptrend bars colored orange and black, do nothing, they are just pullback bars. Look for the buy pullback signal, then follow pullback buy rules for an uptrend.
Downtrend: Short
Red bar: initial start of a downtrend or downtrend continuing. Place order below the bar. If the initial bar does not stray too far fro the MVWAP, place orders below subsequent bars.
If initial start on the downtrend is missed, wait for the pullback. A pullback is a close above the MVWAP, and close below the EMA(Low). RSI is below 50. Orders are placed below the pullback bars with the plotted char "S" and also plotted red triangle. Again those bars are not automatic shorts, orders are placed below them. Don't chase anything. Wait for price to come into your plan. The idea FOMO is the stupidest thing ever, how can you miss out on something when it is always there. The market is always there and something will come into your zone. Chill.
"T": same as in uptrend, suggestion to take some profits.
Exit Completely: In a downtrend, close your entire position on bars colored orange or green.
In downtrend you will see bars colored yellow and black, do nothing, they are pullback bars. Look for the pullback short signal and follow pullback short rules.
If you have any questions get at me. Take a look at it on what you trade. Flip it through different securities.
Best of luck in all you do.
P.S. You should not take a trade right before earnings. You should also exit a trade right before earnings.
Binque's Multi-Moving Average Binque's Multi-Moving Average - One indicator with four simple moving average and four exponential moving averages, plus as a bonus a Day High moving average and a Day Low Moving Average.
Simple Moving Average or MA(14), MA(50), MA(100) and MA(200) all in one indicator
Exponential Moving Average or EMA(8), EMA(14), EMA(20) and EMA(33) all in one indicator
Day High Moving Average - Tracks the Daily High versus most moving averages track the daily close.
Day Low Moving Average - Tracks the Daily Low versus most moving average track the daily close.
To Disable moving averages, Set the color to the chart background and then set the length to 1 and uncheck.
I Use the Daily High Moving Average to track upward resistance in a stock movement for Swing Trading.
I Use the Daily Low Moving Average to track my trailing stop in a stock movement for Swing Trading.
Big Snapper Alerts R2.0 by JustUncleLThis is a diversified Binary Option or Scalping Alert indicator originally designed for lower Time Frame Trend or Swing trading. Although you will find it a useful tool for higher time frames as well.
The Alerts are generated by the changing direction of the ColouredMA (HullMA by default), you then have the choice of selecting the Directional filtering on these signals or a Bollinger swing reversal filter.
The filters include:
Type 1 - The three MAs (EMAs 21,55,89 by default) in various combinations or by themselves. When only one directional MA selected then direction filter is given by ColouredMA above(up)/below(down) selected MA. If more than one MA selected the direction is given by MAs being in correct order for trend direction.
Type 2 - The SuperTrend direction is used to filter ColouredMA signals.
Type 3 - Bollinger Band Outside In is used to filter ColouredMA for swing reversals.
Type 4 - No directional filtering, all signals from the ColouredMA are shown.
Notes:
Each Type can be combined with another type to form more complex filtration.
Alerts can also be disabled completely if you just want one indicator with one colouredMA and/or 3xMAs and/or Bollinger Bands and/or SuperTrend painted on the chart.
Warning:
Be aware that combining Bollinger OutsideIn swing filter and a directional filter can be counter productive as they are opposites. So careful consideration is needed when combining Bollinger OutsideIn with any of the directional filters.
Hints:
For Binary Options try ColouredMA = HullMA(13) or HullMA(8) with Type 2 or 3 Filter.
When using Trend filters SuperTrend and/or 3xMA Trend, you will find if price reverses and breaks back through the Big Fat Signal line, then this can be a good reversal trade.
Some explanation about the what Hull Moving average and ideas of how the generated in Big Snapper can be used:
tradingsim.com
forextradingstrategies4u.com
Inspiration from @vdubus
Big Snapper's Bollinger OutsideIn Swing filter in Action:
Colored Volume Bars [LazyBear]Edgar Kraut proposed this simple colored volume bars strategy for swing trading.
This is how the colors are determined:
- If today’s closing price and volume are greater than 'n' days ago, color today’s volume bar green.
- If today’s closing price is greater than 'n' days ago but volume is not, color today’s volume bar blue.
- Similarly, if today’s closing price and volume is less than 'n' days ago, color today’s volume bar orange.
- If today’s closing price is less than 'n' days ago but volume is not, color today’s volume bar red.
Buy the green or blue volume bars, use a 1% trailing stop, and stand aside on red or orange bars.
As you see, this is more for entry confirmation. I have not tested this on any instrument.
You may have to tune the lookback period for your instrument. Default is 10.
More info:
"A color-based system for short-term trading" - www.traders.com
List of all my indicators:
Kernel Channel [BackQuant]Kernel Channel
A non-parametric, kernel-weighted trend channel that adapts to local structure, smooths noise without lagging like moving averages, and highlights volatility compressions, expansions, and directional bias through a flexible choice of kernels, band types, and squeeze logic.
What this is
This indicator builds a full trend channel using kernel regression rather than classical averaging. Instead of a simple moving average or exponential weighting, the midline is computed as a kernel-weighted expectation of past values. This allows it to adapt to local shape, give more weight to nearby bars, and reduce distortion from outliers.
You can think of it as a sliding local smoother where you define both the “window” of influence (Window Length) and the “locality strength” (Bandwidth). The result is a flexible midline with optional upper and lower bands derived from kernel-weighted ATR or kernel-weighted standard deviation, letting you visualize volatility in a structurally consistent way.
Three plotting modes help demonstrate this difference:
When the midline is shown alone, you get a smooth, adaptive baseline that behaves almost like a regression moving average, as shown in this view:
When full channels are enabled, you see how standard deviation reacts to local structure with dynamically widening and tightening bands, a mode illustrated here:
When ATR mode is chosen instead of StdDev, band width reflects breadth of movement rather than variance, creating a volatility-aware envelope like the example here:
Why kernels
Classical moving averages allocate fixed weights. Kernels let the user define weighting shape:
Epanechnikov — emphasizes bars near the current bar, fades fast, stable and smooth.
Triangular — linear decay, simple and responsive.
Laplacian — exponential decay from the current point, sharper reactivity.
Cosine — gentle periodic decay, balanced smoothness for trend filters.
Using these in combination with a bandwidth parameter gives fine control over smoothness vs responsiveness. Smaller bandwidths give sharper local sensitivity, larger bandwidths give smoother curvature.
How it works (core logic)
The indicator computes three building blocks:
1) Kernel-weighted midline
For every bar, a sliding window looks back Window Length bars. Each bar in this window receives a kernel weight depending on:
its index distance from the present
the chosen kernel shape
the bandwidth parameter (locality)
Weights form the denominator, weighted values form the numerator, and the resulting ratio is the kernel regression mean. This midline is the central trend.
2) Kernel-based width
You choose one of two band types:
Kernel ATR — ATR values are kernel-averaged, producing a smooth, volatility-based width that is not dependent on variance. Ideal for directional trend channels and regime separation.
Kernel StdDev — local variance around the midline is computed through kernel weighting. This produces a true statistical envelope that narrows in quiet periods and widens in noisy areas.
Width is scaled using Band Multiplier , controlling how far the envelope extends.
3) Upper and lower channels
Provided midline and width exist, the channel edges are:
Upper = midline + bandMult × width
Lower = midline − bandMult × width
These create smooth structures around price that adapt continuously.
Plotting modes
The indicator supports multiple visual styles depending on what you want to emphasize.
When only the midline is displayed, you get a pure kernel trend: a smooth regression-like curve that reacts to local structure while filtering noise, demonstrated here: This provides a clean read on direction and slope.
With full channels enabled, the behavior of the bands becomes visible. Standard deviation mode creates elastic boundaries that tighten during compressions and widen during turbulence, which you can see in the band-focused demonstration: This helps identify expansion events, volatility clusters, and breakouts.
ATR mode shifts interpretation from statistical variance to raw movement amplitude. This makes channels less sensitive to outliers and more consistent across trend phases, as shown in this ATR variation example: This mode is particularly useful for breakout systems and bar-range regimes.
Regime detection and bar coloring
The slope of the midline defines directional bias:
Up-slope → green
Down-slope → red
Flat → gray
A secondary regime filter compares close to the channel:
Trend Up Strong — close above upper band and midline rising.
Trend Down Strong — close below lower band and midline falling.
Trend Up Weak — close between midline and upper band with rising slope.
Trend Down Weak — close between lower band and midline with falling slope.
Compression mode — squeeze conditions.
Bar coloring is optional and can be toggled for cleaner charts.
Squeeze logic
The indicator includes non-standard squeeze detection based on relative width , defined as:
width / |midline|
This gives a dimensionless measure of how “tight” or “loose” the channel is, normalized for trend level.
A rolling window evaluates the percentile rank of current width relative to past behavior. If the width is in the lowest X% of its last N observations, the script flags a squeeze environment. This highlights compression regions that may precede breakouts or regime shifts.
Deviation highlighting
When using Kernel StdDev mode, you may enable deviation flags that highlight bars where price moves outside the channel:
Above upper band → bullish momentum overextension
Below lower band → bearish momentum overextension
This is turned off in ATR mode because ATR widths do not represent distributional variance.
Alerts included
Kernel Channel Long — midline turns up.
Kernel Channel Short — midline turns down.
Price Crossed Midline — crossover or crossunder of the midline.
Price Above Upper — early momentum expansion.
Price Below Lower — downward volatility expansion.
These help automate regime changes and breakout detection.
How to use it
Trend identification
The midline acts as a bias filter. Rising midline means trend strength upward, falling midline means downward behavior. The channel width contextualizes confidence.
Breakout anticipation
Kernel StdDev compressions highlight areas where price is coiling. Breakouts often follow narrow relative width. ATR mode provides structural expansion cues that are smooth and robust.
Mean reversion
StdDev mode is suitable for fade setups. Moves to outer bands during low volatility often revert to the midline.
Continuation logic
If price breaks above the upper band while midline is rising, the indicator flags strong directional expansion. Same logic for breakdowns on the lower band.
Volatility characterization
Kernel ATR maps raw bar movements and is excellent for identifying regime shifts in markets where variance is unstable.
Tuning guidance
For smoother long-term trend tracking
Larger window (150–300).
Moderate bandwidth (1.0–2.0).
Epanechnikov or Cosine kernel.
ATR mode for stable envelopes.
For swing trading / short-term structure
Window length around 50–100.
Bandwidth 0.6–1.2.
Triangular for speed, Laplacian for sharper reactions.
StdDev bands for precise volatility compression.
For breakout systems
Smaller bandwidth for sharp local detection.
ATR mode for stable envelopes.
Enable squeeze highlighting for identifying setups early.
For mean-reversion systems
Use StdDev bands.
Moderate window length.
Highlight deviations to locate overextended bars.
Settings overview
Kernel Settings
Source
Window Length
Bandwidth
Kernel Type (Epanechnikov, Triangular, Laplacian, Cosine)
Channel Width
Band Type (Kernel ATR or Kernel StdDev)
Band Multiplier
Visuals
Show Bands
Color Bars By Regime
Highlight Squeeze Periods
Highlight Deviation
Lookback and Percentile settings
Colors for uptrend, downtrend, squeeze, flat
Trading applications
Trend filtering — trade only in direction of the midline slope.
Breakout confirmation — expansion outside the bands while slope agrees.
Squeeze timing — compression periods often precede the next directional leg.
Volatility-aware stops — ATR mode makes channel edges suitable for adaptive stop placement.
Structural swing mapping — StdDev bands help locate midline pullbacks vs distributional extremes.
Bias rotation — bar coloring highlights when regime shifts occur.
Notes
The Kernel Channel is not a signal generator by itself, but a structural map. It helps classify trend direction, volatility environment, distribution shape, and compression cycles. Combine it with your entry and exit framework, risk parameters, and higher-timeframe confirmation.
It is designed to behave consistently across markets, to avoid the bluntness of classical averages, and to reveal subtle curvature in price that traditional channels miss. Adjust kernel type, bandwidth, and band source to match the noise profile of your instrument, then use squeeze logic and deviation highlighting to guide timing.
Filter Cross1. Indicator Name
Filter Cross Indicator
2. One-line Introduction
A multi-filtered crossover strategy that enhances classic moving average signals with trend, volatility, volume, and momentum confirmation.
3. General Overview
The Filter Cross indicator builds upon the traditional golden/dead cross concept by incorporating additional market filters to evaluate the quality of each signal. It uses two key moving averages (50-period and 200-period SMA) to identify crossovers, while adding four advanced metrics:
Linear regression trend ordering,
ATR-based volatility positioning,
Volume pressure,
Price positioning relative to fast MA.
These components are individually scored and averaged to calculate a Confidence %, which is displayed on the chart alongside each crossover signal. Visual cues such as dynamic color changes reflect the current trend direction and strength, making it intuitive for both novice and experienced traders.
The indicator is especially effective in swing trading and trend-following strategies, where false signals can be filtered out through the additional logic.
Security measures are applied to ensure that the core logic remains protected, making it safe for proprietary use.
4. Key Advantages
✅ Multi-factor Signal Validation
Evaluates each signal using four key market filters to improve reliability over classic crossovers.
📉 Confidence Score Display
Each signal is accompanied by a Confidence % label to help traders assess entry/exit quality.
🎨 Dynamic Color Feedback
Automatically adjusts chart color based on trend intensity and direction, aiding visual clarity.
🔍 Linear Regression Trend Logic
Uses pairwise comparison of regression data to quantify trend alignment across lookback periods.
📈 Reduced False Signals
Minimizes noise and weak signals during sideways markets using adaptive thresholds.
📘 Indicator User Guide
📌 Basic Concept
Filter Cross enhances moving average crossover signals using four additional market-based filters.
These include trend alignment, volatility range, volume strength, and price momentum.
Final signals are graded with a Confidence % score, showing how favorable the conditions are for action.
⚙️ Settings Explained
Fast MA Length: Short-term moving average period (default: 50)
Slow MA Length: Long-term moving average period (default: 200)
Linear Regression Length: Period used to assess price trend alignment
Trend Lookback / Threshold: Sensitivity controls for trend scoring
Volume Lookback / ATR Length: Defines volatility and volume filters
Bull/Bear Color: Customize visual colors for bullish and bearish signals
📈 Buy Timing Example
Golden Cross occurs (50 MA crosses above 200 MA)
Confidence % is above 70%
Trend color turns green, volume is rising, price above fast MA → Strong entry signal
📉 Sell Timing Example
Dead Cross occurs (50 MA crosses below 200 MA)
Confidence % above 60% indicates a reliable bearish setup
Regression trend down, color turns red → Valid exit or short opportunity
🧪 Recommended Use Cases
Combine with RSI or MACD for timing confirmation in swing trades
Use Confidence % to filter out weak crossover signals during sideways trends
Effective in medium-to-long term trading with volatile assets
🔒 Precautions
Confidence % reflects current conditions—not future prediction—use with discretion
May produce delayed signals in ranging markets; test before real application
Best results achieved when combined with other indicators or price action context
Always optimize parameters based on the specific market or asset being traded
+++
deKoder | HTF3 - Multi-Timeframe Candle DisplaydeKoder | HTF3 - Multi-Timeframe Candle Display
Overview
HTF3 is a powerful multi-timeframe analysis tool that displays higher timeframe candles directly on your current lower timeframe chart. When trading lower timeframes it is sometimes easy to lose sight of the higher timeframe context. HTF3 enables better trading decisions by keeping your analysis aligned with the dominant trend.
Key Features
• Multi-Timeframe Support : Display daily, weekly, or any custom higher timeframe candles
• Visual Candle Representation : Clear OHLC candles with customizable colors
• Range Display : Show previous candle ranges with dotted center lines
• Trading Signals : Automatic breakout and rejection signals with arrow markers
• Flexible Positioning : Adjustable horizontal offset for optimal placement
• Real-time Updates : Current higher timeframe candle builds in real-time
Use Cases
• Swing Traders : Maintain daily/weekly context on intraday charts
• Position Traders : Align entries with higher timeframe structure
• Breakout Traders : Identify key levels from previous candle ranges
• Market Analysis : Quickly assess multi-timeframe alignment
Configuration
• Timeframe : Select higher timeframe to display (default: D)
• X-Offset : Adjust horizontal positioning (-4 to 50)
• Show Candles : Toggle candle display
• Show Range : Toggle previous candle high/low ranges
• Signals : Display breakout/rejection signals
• Customize bull/bear colors and text appearance
How to Use
1. Select your desired higher timeframe in the settings
2. Adjust offset for optimal positioning
3. Use the range lines to identify potential liquidity zones
4. Watch for signal arrows indicating breakouts/rejections
5. Combine with your existing strategy for confirmation
Pro Tips
• Use daily candles on 1H/4H charts for swing trading context
• The signals are not intended as standalone buy/sell triggers. They should only be used as confluence for your main trade idea
Ellipse Price Action Indicator v2 (Upgraded)
This upgraded Ellipse Price Action Indicator (EPAI v2) to take high-accuracy trades.
I am explaining it as if you are looking at the chart step by step, so you will understand exactly:
-When to buy
-When to
-When to avoid
-How to read Strength Meter
-How Ellipse zones work
⭐ 1. THE BASICS — What This Indicator Actually Does
This indicator tracks:
✔ The “Elliptical Path” of price
Like a planet revolving around the Sun, price “oscillates” around a center.
The indicator detects this hidden mathematical path using:
Two Focus Points (Fast MA & Slow MA)
Curved Ellipse boundaries
Compression of price
Momentum of trend
Breakout zones
⭐ 2. UNDERSTANDING THE 3 ZONES
🔴 UPPER ZONE = Sell Zone
Price is near the upper ellipse boundary → overbought space.
🟢 LOWER ZONE = Buy Zone
Price near lower ellipse boundary → oversold space.
🔵 CENTRAL ZONE = No Trade Zone
Price swinging inside the ellipse center → noise.
Only trade in UPPER or LOWER zones.
Never in the central zone.
⭐ 3. THE MOST IMPORTANT PART — Strength Meter v2
Strength Meter v2 (0 to 100%) is the core filter.
✔ Above 70% → High winning probability (take trade)
✔ 60–70% → Medium probability (trade if confident)
❌ Below 60% → Avoid trade
Strength combines:
Ellipse compression
Momentum slope
Price position curve
Eccentricity
Trend direction
This alone removes 70% bad trades.
⭐ 4. BUY SETUP (Exact Rules)
You get a BUY only if all conditions match:
① Price goes to lower ellipse zone
② Compression is ON (ellipse is tight)
③ Momentum slope direction = UP
④ Focus Lines Cross Bullish (Fast > Slow)
⑤ Strength v2 ≥ your threshold (default 60%)
⑥ A BUY signal prints (triangle UP)
When these align →
🟢 BUY with high accuracy
Best Accuracy Buy is:
Price in lower zone
Strength ≥ 0.75
Slope UP
Ellipse compressed
⭐ 5. SELL SETUP (Exact Rules)
Same logic reversed:
① Price in upper ellipse zone
② Compression ON
③ Momentum slope DOWN
④ Focus Lines cross bearish (Fast < Slow)
⑤ Strength v2 ≥ threshold
⑥ SELL signal prints (triangle DOWN)
This means:
🔴 SELL with high accuracy
Best Accuracy Sell is:
Price in upper zone
Strength ≥ 0.75
Slope DOWN
Ellipse compressed
⭐ 6. BREAKOUT TRADES (Optional but powerful)
When price breaks above/below ellipse:
🔸 Upper Breakout → SELL (if strength strong)
🔸 Lower Breakout → BUY (if strength strong)
Breakout signals are marked by orange arrows.
Breakouts are taken only if:
Strength v2 > 50%
Slope supports breakout
Compression exists before breakout
Breakout trades catch trend continuation.
⭐ 7. HOW TO CONFIRM A STRONG TRADE
Look at the table on the chart:
✔ Strength v2 ≥ 70% (GREEN)
✔ Compression = GREEN
✔ Slope direction = UP (for buy) or DOWN (for sell)
✔ Zone = LOWER or UPPER
✔ Eccentricity = LOW (<0.5 means smooth trend)
If these line up →
⭐ High-probability entry.
⭐ 8. WHEN YOU SHOULD NOT TRADE
❌ If price is in Central Zone
❌ Strength < 60
❌ No compression detected
❌ Slope is flat or against direction
❌ Only one condition is matching
❌ Eccentricity is too large
(Big ellipse = unpredictable swings)
⭐ 9. What Is the Accuracy Level?
In trending markets → 75% to 85% accuracy
In ranging markets → 50% (use compression filter to avoid)
The indicator is designed to avoid bad market conditions automatically.
⭐ 10. BEST TIMEFRAMES
✔ 5m, 15m, 1H → Intraday
✔ 4H, 1D → Swing Trading
✔ NOT recommended below 1m timeframe
⭐ SUMMARY (EASY VERSION)
🟢 BUY:
Lower zone + compression + bullish slope + strong focus cross + strength ≥ 60
🔴 SELL:
Upper zone + compression + bearish slope + strong focus cross + strength ≥ 60
🟠 Breakout:
Upper/lower breakout + strength ≥ 50
🔵 Avoid:
Central zone or weak strength
Safe Supertrend Strategy (No Repaint)Overview
The Safe Supertrend is a repaint-free version of the popular Supertrend trend-following indicator.
Most Supertrend indicators appear perfect on historical charts because they flip intrabar and then repaint after the candle closes.
This version fixes that by using close-of-bar confirmation only, making every trend flip 100% stable, safe, and non-repainting.
Why This Supertrend Doesn’t Repaint
Most Supertrend indicators calculate their trend direction using the current bar’s data.
But during a live candle:
ATR expands and contracts
The upper/lower bands move
Price moves above/below the band temporarily
A false flip appears → then disappears when the candle closes
That is classic repainting.
This indicator avoids all of that by using:
close > upper
close < lower
This means:
Trend direction flips only based on the previous candle,
No intrabar calculations,
No flickering signals,
No “perfect but fake” historical performance.
Every signal you see on the chart is exactly what was available in real-time.
How It Works
Calculates ATR (Average True Range) and SMA centerline
Builds upper and lower volatility bands
Confirms trend flips only after the previous bar closes
Plots clear bull and bear reversal signals
Works on all markets (crypto, stocks, forex, indices)
No repainting, no recalc, no misleading flips.
Bullish Signal (Trend Up)
A bullish trend begins only when:
The previous candle closes above the upper ATR band,
And this flip is fully confirmed.
A green triangle marks the start of a new uptrend.
Bearish Signal (Trend Down)
A bearish trend begins only when:
The previous candle closes below the lower ATR band,
And the downtrend is confirmed.
A red triangle signals the start of a new downtrend.
Inputs
ATR Length - default 10
ATR Multiplier - default 3.0
Works on all timeframes and market
Simple, but powerful.
Why Use This Version Instead of a Regular Supertrend?
Most Supertrends:
Look great historically
But repaint continuously on live charts
Give false trend flips intrabar
Cannot be reliably used in strategies
This version:
Uses strict previous-bar logic
Never repaints trend direction
Works perfectly in live trading
Backtests accurately
Is ideal for algorithmic strategies
Ideal For:
Trend-following strategies
Breakout trading
Algo trading systems
Reversal detection
Filtering market noise
Swing trading & scalping
Final Note
This is a safer, more reliable Supertrend designed for real-world use — not perfect-looking repaint illusions.
If you use Supertrend in your trading system, this no-repaint version ensures your signals are trustworthy and consistent.
Breakout Condition Indicator - Long - V2 - Mega 86Script used for swing trading - contains certain adjustable metrics that I use for scanning and day or entry
Average Directional Index infoAverage Directional Index (ADX) is a technical indicator created by J. Welles Wilder that measures trend strength (not direction!). Values range from 0 to 100.
This indicator is a supplementary tool for assessing whether trend strategies are worthwhile, monitoring changes in trend strength and avoiding weak, choppy movements
Value Interpretation:
0-25: Weak trend or sideways market
25-50: Moderate to strong trend
50-75: Very strong trend
75-100: Extremely strong trend (rare)
Important: ADX does not indicate trend direction (up/down), only its strength!
This script indicator includes additional features:
1. ADX Plot (purple line)
Basic ADX value showing current trend strength.
2. ADX Trend Analysis (arrows)
The script compares current ADX with its 10-period moving average with ±5% tolerance:
↑ (green): ADX rising → trend strengthening
↓ (red): ADX falling → trend weakening
⮆ (gray): ADX stable → trend strength unchanged
3. Information Table
Displays current ADX value with trend arrow in the top-right corner.
Parameters to Configure
Smoothing (default: 14) - Indicator smoothing period
Lower values (e.g., 7): more sensitive, more signals
Higher values (e.g., 21): more stable, less noise
Indicator Length (default: 14) - Period for calculating directional movement (+DI/-DI)
Wilder's standard value is 14
Trend Length (default: 10) - Period for moving average to analyze ADX dynamics
Determines how quickly changes in trend strength are detected
Practical Application
✅ Strategy 1: Trend Strength Filter
1. ADX > 25 → look for positions aligned with the trend
2. ADX < 25 → avoid trend strategies, consider oscillators
✅ Strategy 2: Entries on Strengthening Trend
1. ADX crosses above 25 + arrow ↑ → trend gaining momentum
2. Combine with other indicators (e.g., EMA) for direction confirmation
✅ Strategy 3: Exhaustion Warning
1. ADX > 50 + arrow ↓ → strong trend may be exhausting
2. Consider profit protection or trailing stop
Average True Range % infoATR% is a modified version of the classic Average True Range indicator that displays price volatility as a percentage of the instrument's value, rather than in absolute values. This allows you to easily compare the volatility of different assets (e.g., Bitcoin vs Tesla stock) regardless of their price.
Main Features
1. ATR% Chart
The red line shows the average volatility from the last N candles (default 14), expressed as a percentage. For example:
ATR% = 2.5% means that the average daily move is approximately 2.5% of the asset's value
Higher values = greater volatility (higher profit potential, but also greater risk)
Lower values = lower volatility (calmer market)
2. Volatility Trend Analysis
The indicator automatically detects whether volatility is rising, falling, or stable:
Up arrow (↑) - volatility is rising (price becomes more "nervous")
Down arrow (↓) - volatility is falling (market is calming down)
Horizontal arrow (⮆) - volatility is stable (within ±3% of the moving average)
3. Information Table
In the upper right corner of the chart you will see Current ATR% value and Trend arrow with color coding:
- Green = rising volatility
- Red = falling volatility
- Gray = stable volatility
Parameters to Configure
Indicator Length (default: 14) - How many candles back to include in calculations:
Lower values (5-10): more sensitive to sudden changes, reacts faster
Higher values (20-30): more smoothed, shows long-term volatility picture
Trend Length (default: 10) - Period to analyze whether volatility is rising/falling:
Lower values: faster trend change signals
Higher values: more reliable, but slower signals
Sample Interpretations
ATR% Volatility Asset Type/Situation
< 1% Very low Stable blue-chip stocks, calm market
1-3% Low-medium Typical stocks, normal conditions
3-5% Medium-high Volatile stocks, cryptocurrencies at rest
5-10% High Cryptocurrencies, penny stocks
> 10% Extremely high Market panic, crash, pump & dump
MAGIC MA BANDSMagic MA Bands — Dynamic Trend Zones Instead of Lines
Magic MA Bands help traders visualize dynamic support and resistance zones rather than relying on a single moving average line. Instead of treating the MA as an exact reaction level, this tool creates a band or zone where price is statistically more likely to react, reverse, or continue trending.
🧠 How It Works
The script plots:
Upper Band (default: 50 EMA using High values)
Lower Band (default: 50 EMA using Low values)
Optional Midline MA (default: 200 SMA for long-term trend)
The area between the upper and lower bands becomes a trend cushion, helping traders identify:
Dynamic support/resistance zones
Trend strength and continuation probability
Ideal pullback entry regions
🎯 Trend Interpretation Guide
Use Case Recommended Setting
Short-Term Trend 20/21 EMA or SMA
Medium-Term Trend 50 EMA / SMA
Long-Term Trend 200 SMA / EMA (Midline Optional)
All parameters are fully customisable so the user can define their preferred structure based on their trading style, asset volatility, or timeframe.
✔️ Best For:
Trend traders
Swing trading
Pullback-based entries
Institutional-style zone analysis
High-Probability Swing & Day Trade Setup - ChannelChannel indicator that I use for Day and Swing Trading
Time-Decay Liquidity Zones [BackQuant]Time-Decay Liquidity Zones
A dynamic liquidity map that turns single-bar exhaustion events into fading, color-graded zones, so you can see where trapped traders and unfinished business still matter, and when those areas have finally stopped pulling price.
What this is
This indicator detects unusually strong impulsive moves into wicks, converts them into supply or demand “zones,” then lets those zones decay over time. Each zone carries a strength score that fades bar by bar. Zones that stop attracting or rejecting price are gradually de-emphasized and eventually removed, while the most relevant areas stay bright and obvious.
Instead of static rectangles that live forever, you get a living liquidity map where:
Zones are born from objective criteria: volatility, wick size, and optional volume spikes.
Zones “age” using a configurable decay factor and maximum lifetime.
Zone color and opacity reflect current relative strength on a unified clear → green → red gradient.
Zones freeze when broken, so you can distinguish “active reaction areas” from “historical levels that have already given way”.
Conceptual idea
Large wicks with strong volatility often mark areas where aggressive orders met hidden liquidity and got absorbed. Price may revisit these areas to test leftover interest or to relieve trapped positions. However, not every wick matters for long. As time passes and more bars print, the market “forgets” some areas.
Time-Decay Liquidity Zones turns that idea into a rule-based system:
Find bars that likely reflect strong aggressive flows into liquidity.
Mark a zone around the wick using ATR-based thickness.
Assign a strength score of 1.0 at birth.
Each bar, reduce that score by a decay factor and remove zones that fall below a threshold or live too long.
Color all surviving zones from weak to strong using a single gradient scale and a visual legend.
How events are detected
Detection lives in the Event Detection group. The script combines range, wick size, and optional volume filters into simple rules.
Volatility filter
ATR Length — computes a rolling ATR over your chosen window. This is the volatility baseline.
Min range in ATRs — bar range (High–Low) must exceed this multiple of ATR for an event to be considered. This avoids tiny bars triggering zones.
Wick filters
For each bar, the script splits the candle into body and wicks:
Upper wick = High minus the max(Open, Close).
Lower wick = min(Open, Close) minus Low.
Then it tests:
Upper wick condition — upper wick must be larger than Min wick size in ATRs × ATR.
Lower wick condition — lower wick must be larger than Min wick size in ATRs × ATR.
Only bars with a sufficiently long wick relative to volatility qualify as candidate “liquidity events”.
Volume filter
Optionally, the script requires a volume spike:
Use volume filter — if enabled, volume must exceed a rolling volume SMA by a configurable multiplier.
Volume SMA length — period for the volume average.
Volume spike multiplier — how many times above the SMA current volume needs to be.
This lets you focus only on “heavy” tests of liquidity and ignore quiet bars.
Event types
Putting it together:
Upper event (potential supply / long liquidation, etc.)
Occurs when:
Upper wick is large in ATR terms.
Full bar range is large in ATR terms.
Volume is above the spike threshold (if enabled).
Lower event (potential demand / short liquidation, etc.)
Symmetric conditions using the lower wick.
How zones are constructed
Zone geometry lives in Zone Geometry .
When an event is detected, the script builds a rectangular box that anchors to the wick and extends in the appropriate direction by an ATR-based thickness.
For upper (supply-type) zones
Bottom of the zone = event bar high.
Top of the zone = event bar high + Zone thickness in ATRs × ATR.
The zone initially spans only the event bar on the x-axis, but is extended to the right as new bars appear while the zone is active.
For lower (demand-type) zones
Top of the zone = event bar low.
Bottom of the zone = event bar low − Zone thickness in ATRs × ATR.
Same extension logic: box starts on the event bar and grows rightward while alive.
The result is a band around the wick that scales with volatility. On high-ATR charts, zones are thicker. On calm charts, they are narrower and more precise.
Zone lifecycle, decay, and removal
All lifecycle logic is controlled by the Decay & Lifetime group.
Each zone carries:
Score — a floating-point “importance” measure, starting at 1.0 when created.
Direction — +1 for upper zones, −1 for lower zones.
Birth index — bar index at creation time.
Active flag — whether the zone is still considered unbroken and extendable.
1) Active vs broken
Each confirmed bar, the script checks:
For an upper zone , the zone is counted as “broken” when the close moves above the top of the zone.
For a lower zone , the zone is counted as “broken” when the close moves below the bottom of the zone.
When a zone breaks:
Its right edge is frozen at the previous bar (no further extension).
The zone remains on the chart, but is no longer updated by price interaction. It still decays in score until removal.
This lets you see where a major level was overrun, while naturally fading its influence over time.
2) Time decay
At each confirmed bar:
Score := Score × Score decay per bar .
A decay value close to 1.0 means very slow decay and long-lived zones.
Lower values (closer to 0.9) mean faster forgetting and more current-focused zones.
You are controlling how quickly the market “forgets” past events.
3) Age and score-based removal
Zones are removed when either:
Age in bars exceeds Max bars a zone can live .
This is a hard lifetime cap.
Score falls below Minimum score before removal .
This trims zones that have decayed into irrelevance even if their age is still within bounds.
When a zone is removed, its box is deleted and all associated state is freed to keep performance and visuals clean.
Unified gradient and color logic
Color control lives in Gradient & Color . The indicator uses a single continuous gradient for all zones, above and below price, so you can read strength at a glance without guessing what palette means what.
Base colors
You set:
Mid strength color (green) — used for mid-level strength zones and as the “anchor” in the gradient.
High strength color (red) — used for the strongest zones.
Max opacity — the maximum visual opacity for the solid part of the gradient. Lower values here mean more solid; higher values mean more transparent.
The script then defines three internal points:
Clear end — same as mid color, but with a high alpha (close to transparent).
Mid end — mid color at the strongest allowed opacity.
High end — high color at the strongest allowed opacity.
Strength normalization
Within each update:
The script finds the maximum score among all existing zones.
Each zone’s strength is computed as its score divided by this maximum.
Strength is clamped into .
This means a zone with strength 1.0 is currently the strongest zone on the chart. Other zones are colored relative to that.
Piecewise gradient
Color is assigned in two stages:
For strength between 0.0 and 0.5: interpolate from “clear” green to solid green.
Weak zones are barely visible, mid-strength zones appear as solid green.
For strength between 0.5 and 1.0: interpolate from solid green to solid red.
The strongest zones shift toward the red anchor, clearly separating them from everything else.
Strength scale legend
To make the gradient readable, the indicator draws a vertical legend on the right side of the chart:
About 15 cells from top (Strong) to bottom (Weak).
Each cell uses the same gradient function as the zones themselves.
Top cell is labeled “Strong”; bottom cell is labeled “Weak”.
This legend acts as a fixed reference so you can instantly map a zone’s color to its approximate strength rank.
What it plots
At a glance, the indicator produces:
Upper liquidity zones above price, built from large upper wick events.
Lower liquidity zones below price, built from large lower wick events.
All zones colored by relative strength using the same gradient.
Zones that freeze when price breaks them, then fade out via decay and removal.
A strength scale legend on the right to interpret the gradient.
There are no extra lines, labels, or clutter. The focus is the evolving structure of liquidity zones and their visual strength.
How to read the zones
Bright red / bright green zones
These are your current “major” liquidity areas. They have high scores relative to other zones and have not yet decayed. Expect meaningful reactions, absorption attempts, or spillover moves when price interacts with them.
Faded zones
Pale, nearly transparent zones are either old, decayed, or minor. They can still matter, but priority is lower. If these are in the middle of a long consolidation, they often become background noise.
Broken but still visible zones
Zones whose extension has stopped have been overrun by closing price. They show where a key level gave way. You can use them as context for regime shifts or failed attempts.
Absence of zones
A chart with few or no zones means that, under your current thresholds, there have not been strong enough liquidity events recently. Either tighten the filters or accept that recent price action has been relatively balanced.
Use cases
1) Intraday liquidity hunting
Run the indicator on lower timeframes (e.g., 1–15 minute) with moderately fast decay.
Use the upper zones as potential sell reaction areas, the lower zones as potential buy reaction areas.
Combine with order flow, CVD, or footprint tools to see whether price is absorbing or rejecting at each zone.
2) Swing trading context
Increase ATR length and range/wick multipliers to focus only on major spikes.
Set slower decay and higher max lifetime so zones persist across multiple sessions.
Use these zones as swing inflection areas for larger setups, for example anticipating re-tests after breakouts.
3) Stop placement and invalidation
For longs, place invalidation beyond a decaying lower zone rather than in the middle of noise.
For shorts, place invalidation beyond strong upper zones.
If price closes through a strong zone and it freezes, treat that as additional evidence your prior bias may be wrong.
4) Identifying trapped flows
Upper zones formed after violent spikes up that quickly fail can mark trapped longs.
Lower zones formed after violent spikes down that quickly reverse can mark trapped shorts.
Watching how price behaves on the next touch of those zones can hint at whether those participants are being rescued or squeezed.
Settings overview
Event Detection
Use volume filter — enable or disable the volume spike requirement.
Volume SMA length — rolling window for average volume.
Volume spike multiplier — how aggressive the volume spike filter is.
ATR length — period for ATR, used in all size comparisons.
Min wick size in ATRs — minimum wick size threshold.
Min range in ATRs — minimum bar range threshold.
Zone Geometry
Zone thickness in ATRs — vertical size of each liquidity zone, scaled by ATR.
Decay & Lifetime
Score decay per bar — multiplicative decay factor for each zone score per bar.
Max bars a zone can live — hard cap on lifetime.
Minimum score before removal — score cut-off at which zones are deleted.
Gradient & Color
Mid strength color (green) — base color for mid-level zones and the lower half of the gradient.
High strength color (red) — target color for the strongest zones.
Max opacity — controls the most solid end of the gradient (0 = fully solid, 100 = fully invisible).
Tuning guidance
Fast, session-only liquidity
Shorter ATR length (e.g., 20–50).
Higher wick and range multipliers to focus only on extreme events.
Decay per bar closer to 0.95–0.98 and moderate max lifetime.
Volume filter enabled with a decent multiplier (e.g., 1.5–2.0).
Slow, structural zones
Longer ATR length (e.g., 100+).
Moderate wick and range thresholds.
Decay per bar very close to 1.0 for slow fading.
Higher max lifetime and slightly higher min score threshold so only very weak zones disappear.
Noisy, high-volatility instruments
Increase wick and range ATR multipliers to avoid over-triggering.
Consider enabling the volume filter with stronger settings.
Keep decay moderate to avoid the chart getting overloaded with old zones.
Notes
This is a structural and contextual tool, not a complete trading system. It does not account for transaction costs, execution slippage, or your specific strategy rules. Use it to:
Highlight where liquidity has recently been tested hard.
Rank these areas by decaying strength.
Guide your attention when layering in separate entry signals, risk management, and higher-timeframe context.
Time-Decay Liquidity Zones is designed to keep your chart focused on where the market has most recently “cared” about price, and to gradually forget what no longer matters. Adjust the detection, geometry, decay, and gradient to fit your product and timeframe, and let the zones show you which parts of the tape still have unfinished business.
VM TRADERS 3 Moving Averages SimpleThis indicator displays three Simple Moving Averages (SMA) that can be toggled on/off individually. Perfect for traders who use multiple SMAs to identify trends, support/resistance levels, and potential entry/exit points.
Features:
- SMA 30 (White) - Short-term trend
- SMA 50 (Yellow) - Medium-term trend
- SMA 100 (Blue) - Long-term trend
- Toggle each SMA on/off independently
- Customizable periods and colors
- Clean and organized settings interface
Ideal for swing trading, trend following, and multi-timeframe analysis across Forex, Crypto, Stocks, and Synthetic indices.
