Angle of Bollinger Bands AlertThis script is used to calculate angle of Bollinger Bands and also setup alerts.
The angle is based on the rules:
- if the previous 2 is 1.1, previous 1 is 1, and the current is 1.1, then the angle should be 90 degrees.
- if the previous 2 is 0.9, previous 1 is 1, and the current is 0.9, then the angle should be 270 degrees
If upper angle is below 90 degrees and close is above the average, it is long signal.
If lower angle is above 270 degrees and close is below the average, it is short signal.
- It is good for catch trend trading.
- Not good for swing trading as the BB changes are very tiny but angles for upper may hit below 90 degrees or angle of lower may be above 270 degrees.
Поиск скриптов по запросу "swing trading"
Fat Side PathI got the idea for a narrow Donchian Channel with a short lookback period which closely follows the price fluctuation in which the sides of the channel have a thickness according to the range of the last touching candle.
Any channel, be it Donchian, Keltner, Bollinger Bands or Parallel, has an upside and a downside, touching the upside is a buy signal as this may initiate an uptrend, the downside a sell signal because a down trend may come.
This gave me the idea to make only the last touched side fat, thus creating visible switching between uptrend and downtrend. However this is ‘too digital’, as in practice also periods of no trend occur in which signaling a trend would give a false signal. In a Donchian channel (and also Bollinger Bands) such periods are marked by narrowing the channel. So I gave a no trend signal to the sides when the channel is narrower than a minimum width to call a trend. I gave the thing nice colours and proper default settings.
Use of the channel in trading.
I think this thing can be useful for swing trading. In channels two typical things may happen that should be noted by the trader, these are LB, Leaving the Border, which signals a trend reversal and FTT, Failure To Traverse, i.e. the price doesn’t manage to cross the channel to the other side. This affirms the trend. FTT’s are not expected in short lookback channels like this path (Sidenote: Fibonacci levels can be regarded as predictions where FTT’s may occur). The fat side indicates direction. Because somehow trends seem to end with a notable range extension, this channel sometimes produces a “Big Blob” where the trend reverses.
I intend to use this thing together with my Keltner Fibzones channel, where the zones serve as a ‘landscape’ in which the Fat Side Path meanders providing ‘comments’ on the short term price movements.
CCI Breakout TraderWorks well on Bitcoin or most altcoins on a 15min chart or higher.
What is this exactly?
This is an indicator that uses horizontal RSI + EMA lines with a CCI line on top of it to provide optimal entry and exit positions for trading. There is also a breakout indicator based on the width of Bollinger Bands.
How to use:
If the blue stream passes upwards on the red heading to the white - it's heading towards a good BUY signal. To be safe you wait until it passes above the white line, then BUY LONG. Another signal to buy long is when the blue stream passes above the white and green lines.
Selling is essentially the opposite, if the blue stream is passing down from the green or white lines, then it's time to sell and exit your trade.
If you need help knowing when to enter and exit a trade the indicator will draw a grey candle on your chart to signal it's time to exit a long trade and it will draw a purple candle when it's time to enter a long.
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Breakout alert:
If you see a green vertical bar it's a warning that there is a potential breakout in price coming for whichever coin you are looking at. The price breakout could go either direction, so make sure you watch the blue stream.
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Important tips:
The direction of the green/white/red lines are important - if they are heading down that means it might not be the best time to enter your trade, even if the blue stream crosses up on the red and/or white lines.
The colored horizontal lines are there to let you know if the blue stream is near the bottom of those lines (anywhere from hline 15 to 50) and heading upwards, you will more likely have a longer positive trade. If the blue stream is above 60 hline and it looks like a good trade (passing up on the red and white lines), expect to have a shorter trade.
I use this for swing trading various crypto currencies, once you learn how to read it, you can catch amazing uptrends really early and you can exit trades before some big drops happen.
Ripster EMA CloudsEMA Cloud By Ripster
EMA Cloud System is a Trading System Invented by Ripster where areas are shaded between two desired EMAs. The concept implies the EMA cloud area serves as support or resistance for Intraday & Swing Trading. This can be utilized effectively on 10 Min for day trading and 1Hr/Daily for Swings. Ripster himself utilizes various combinations of the 5-12, 34-50, 8-9, 20-21 EMA clouds but the possibilities are endless to find what works best for you.
“Ideally, 5-12 or 5-13 EMA cloud acts as a fluid trendline for day trades. 8-9 EMA Clouds can be used as pullback Levels –(optional). Additionally, a high level price over or under 34-50 EMA clouds confirms either bullish or bearish bias on the price action for any timeframe” – Ripster
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}}")
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.
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.
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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.
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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".
Investing - Weekly EMA's mapped to Daily ChartWhen there isn't enough time in your day to day-trade, yet you want to utilise all the technical analysis skills you have... why not make a long term investing or swing trading indicator set to help you along the way!
So I did....
When it comes to long term investing and swing trading, I often find the weekly 12/26/52 EMA's do a great job in capturing the main market swings from bull to bear.
However, I like to use the Daily chart to see the candle patterns and shapes with more detail and divergences often show up better on the daily chart.
So I have decided to combine the two!
I have basically taken the EMA 12/26/52 from the weekly and transferred them over to the daily (mathematically they are not exact, but for me they are close enough).
I have also developed a simple scale in / scale out strategy for using these exponential moving averages. It isn't as simple as buying in on each signal, however I use my own special strategy to take advantage of the alerts.
Enjoy!
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:
RenKagi Fusion: Aura & SMA Clash IndicatorRenKagi Fusion: Aura & SMA Clash Indicator
Welcome to the RenKagi Fusion Indicator – a powerful, customizable tool that blends the strengths of Renko and Kagi charts to provide noise-filtered trend insights, enhanced with visual Aura effects and SMA (Simple Moving Average) crossover signals. Designed for traders seeking a unique edge in trend detection and reversal identification, this indicator combines traditional charting techniques with modern visualizations to help you navigate markets more effectively. Whether you're trading stocks, forex, or crypto, RenKagi Fusion offers a clean, actionable overview of market dynamics.
Key Features
RenKagi Line (Weighted Fusion of Renko and Kagi): The core of the indicator is the RenKagi line, a weighted average of Renko (brick-based trend filtering) and Kagi (reversal-focused line charts). Users can adjust the weight (default: 60% Renko, 40% Kagi) to prioritize stability or sensitivity. This fusion reduces market noise while highlighting key price movements.
Trend Scoring System: Calculates strength scores for Renko, Kagi, and RenKagi (capped at 20 points, converted to percentages). Scores increase with trend continuation and reset on reversals, giving a quantitative measure of momentum.
Aura Effects (Optional): Visual "glow" around lines based on score percentage – higher scores mean more opaque and thicker auras, adding a dynamic layer to trend visualization.
SMA Clash (Crossover Detection): Monitors daily SMA50, SMA100, and SMA200 for golden/death crosses (SMA50 crossing above/below longer SMAs) and RenKagi-SMA crossovers. These are displayed in a persistent info table for quick reference.
Customizable Visuals: Toggle lines, boxes, shapes, auras, and labels. Background coloring based on selected source (Renko, Kagi, or RenKagi) for intuitive trend bias.
Info Table: A configurable table (position and colors adjustable) summarizing scores, directions, cross states, brick size (with type), Kagi reversal (with type), and weights. No clutter – all in one place.
Alert Conditions: Built-in alerts for direction changes (Renko, Kagi, RenKagi), SMA crossovers, and golden/death crosses – perfect for real-time notifications.
How It Works
Renko Logic: Builds bricks based on user-selected type (Traditional fixed size, ATR dynamic, or Percentage). Scores build as trends persist, resetting on reversals.
Kagi Logic: Line reverses on thresholds (Traditional, ATR, or Percentage), scoring continuous moves.
RenKagi Calculation: Weighted average: (renkoPrice * renkoWeight + kagiLine * (100 - renkoWeight)) / 100. Score is a blend of individual scores.
SMA Integration: Daily timeframe SMAs for reliable long-term signals. Crossovers trigger alerts and update table states persistently until reversed.
Advantages for Traders
Noise Reduction: By fusing Renko's block structure with Kagi's reversal focus, it filters out minor fluctuations, helping identify strong trends early.
Versatility: Fully customizable – adjust weights, types, and visuals to fit any market or timeframe. Ideal for swing trading, trend following, or scalping.
Visual Clarity: Aura and background coloring provide at-a-glance insights, while the table consolidates data without overwhelming the chart.
Actionable Signals: Golden/Death crosses and direction changes offer clear entry/exit points, backed by alerts for timely execution.
Performance Optimization: Limits on lines/labels/boxes (500 each) ensure smooth operation on large datasets.
Usage Tips
Start with default settings for balanced performance.
Use in higher timeframes for trend confirmation or lower for intraday signals.
Combine with your favorite strategies – e.g., buy on RenKagi upward cross with SMA50 and golden cross confirmation.
Test on historical data to optimize weights and thresholds.
Note: This indicator is for educational and informational purposes only. Past performance is not indicative of future results. Always conduct your own analysis and use risk management. No financial advice is provided.
If you find this useful, please like, comment, or share your feedback!
Information Flow Analysis[b🔄 Information Flow Analysis: Systematic Multi-Component Market Analysis Framework
SYSTEM OVERVIEW AND ANALYTICAL FOUNDATION
The Information Flow Kernel - Hybrid combines established technical analysis methods into a unified analytical framework. This indicator systematically processes three distinct data streams - directional price momentum, volume-weighted pressure dynamics, and intrabar development patterns - integrating them through weighted mathematical fusion to produce statistically normalized market flow measurements.
COMPREHENSIVE MATHEMATICAL FRAMEWORK
Component 1: Directional Flow Analysis
The directional component analyzes price momentum through three mathematical vectors:
Price Vector: p = C - O (intrabar directional bias)
Momentum Vector: m = C_t - C_{t-1} (bar-to-bar velocity)
Acceleration Vector: a = m_t - m_{t-1} (momentum rate of change)
Directional Signal Integration:
S_d = \text{sgn}(p) \cdot |p| + \text{sgn}(m) \cdot |m| \cdot 0.6 + \text{sgn}(a) \cdot |a| \cdot 0.3
The signum function preserves directional information while absolute values provide magnitude weighting. Coefficients create a hierarchy emphasizing intrabar movement (100%), momentum (60%), and acceleration (30%).
Final Directional Output: K_1 = S_d \cdot w_d where w_d is the directional weight parameter.
Component 2: Volume-Weighted Pressure Analysis
Volume Normalization: r_v = \frac{V_t}{\overline{V_n}} where \overline{V_n} represents the n-period simple moving average of volume.
Base Pressure Calculation: P_{base} = \Delta C \cdot r_v \cdot w_v where \Delta C = C_t - C_{t-1} and w_v is the velocity weighting factor.
Volume Confirmation Function:
f(r_v) = \begin{cases}
1.4 & \text{if } r_v > 1.2 \
0.7 & \text{if } r_v < 0.8 \
1.0 & \text{otherwise}
\end{cases}
Final Pressure Output: K_2 = P_{base} \cdot f(r_v)
Component 3: Intrabar Development Analysis
Bar Position Calculation: B = \frac{C - L}{H - L} when H - L > 0 , else B = 0.5
Development Signal Function:
S_{dev} = \begin{cases}
2(B - 0.5) & \text{if } B > 0.6 \text{ or } B < 0.4 \
0 & \text{if } 0.4 \leq B \leq 0.6
\end{cases}
Final Development Output: K_3 = S_{dev} \cdot 0.4
Master Integration and Statistical Normalization
Weighted Component Fusion: F_{raw} = 0.5K_1 + 0.35K_2 + 0.15K_3
Sensitivity Scaling: F_{master} = F_{raw} \cdot s where s is the sensitivity parameter.
Statistical Normalization Process:
Rolling Mean: \mu_F = \frac{1}{n}\sum_{i=0}^{n-1} F_{master,t-i}
Rolling Standard Deviation: \sigma_F = \sqrt{\frac{1}{n}\sum_{i=0}^{n-1} (F_{master,t-i} - \mu_F)^2}
Z-Score Computation: z = \frac{F_{master} - \mu_F}{\sigma_F}
Boundary Enforcement: z_{bounded} = \max(-3, \min(3, z))
Final Normalization: N = \frac{z_{bounded}}{3}
Flow Metrics Calculation:
Intensity: I = |z|
Strength Percentage: S = \min(100, I \times 33.33)
Extreme Detection: \text{Extreme} = I > 2.0
DETAILED INPUT PARAMETER SPECIFICATIONS
Sensitivity (0.1 - 3.0, Default: 1.0)
Global amplification multiplier applied to the master flow calculation. Functions as: F_{master} = F_{raw} \cdot s
Low Settings (0.1 - 0.5): Enhanced precision for subtle market movements. Optimal for low-volatility environments, scalping strategies, and early detection of minor directional shifts. Increases responsiveness but may amplify noise.
Moderate Settings (0.6 - 1.2): Balanced sensitivity for standard market conditions across multiple timeframes.
High Settings (1.3 - 3.0): Reduced sensitivity to minor fluctuations while emphasizing significant flow changes. Ideal for high-volatility assets, trending markets, and longer timeframes.
Directional Weighting (0.1 - 1.0, Default: 0.7)
Controls emphasis on price direction versus volume and positioning factors. Applied as: K_{1,weighted} = K_1 \times w_d
Lower Values (0.1 - 0.4): Reduces directional bias, favoring volume-confirmed moves. Optimal for ranging markets where momentum may generate false signals.
Higher Values (0.7 - 1.0): Amplifies directional signals from price vectors and acceleration. Ideal for trending conditions where directional momentum drives price action.
Velocity Weighting (0.1 - 1.0, Default: 0.6)
Scales volume-confirmed price change impact. Applied in: P_{base} = \Delta C \times r_v \times w_v
Lower Values (0.1 - 0.4): Dampens volume spike influence, focusing on sustained pressure patterns. Suitable for illiquid assets or news-sensitive markets.
Higher Values (0.8 - 1.0): Amplifies high-volume directional moves. Optimal for liquid markets where volume provides reliable confirmation.
Volume Length (3 - 20, Default: 5)
Defines lookback period for volume averaging: \overline{V_n} = \frac{1}{n}\sum_{i=0}^{n-1} V_{t-i}
Short Periods (3 - 7): Responsive to recent volume shifts, excellent for intraday analysis.
Long Periods (13 - 20): Smoother averaging, better for swing trading and higher timeframes.
DASHBOARD SYSTEM
Primary Flow Gauge
Bilaterally symmetric visualization displaying normalized flow direction and intensity:
Segment Calculation: n_{active} = \lfloor |N| \times 15 \rfloor
Left Fill: Bearish flow when N < -0.01
Right Fill: Bullish flow when N > 0.01
Neutral Display: Empty segments when |N| \leq 0.01
Visual Style Options:
Matrix: Digital blocks (▰/▱) for quantitative precision
Wave: Progressive patterns (▁▂▃▄▅▆▇█) showing flow buildup
Dots: LED-style indicators (●/○) with intensity scaling
Blocks: Modern squares (■/□) for professional appearance
Pulse: Progressive markers (⎯ to █) emphasizing intensity buildup
Flow Intensity Visualization
30-segment horizontal bar graph with mathematical fill logic:
Segment Fill: For i \in : filled if \frac{i}{29} \leq \frac{S}{100}
Color Coding System:
Orange (S > 66%): High intensity, strong directional conviction
Cyan (33% ≤ S ≤ 66%): Moderate intensity, developing bias
White (S < 33%): Low intensity, neutral conditions
Extreme Detection Indicators
Circular markers flanking the gauge with state-dependent illumination:
Activation: I > 2.0 \land |N| > 0.3
Bright Yellow: Active extreme conditions
Dim Yellow: Normal conditions
Metrics Display
Balance Value: Raw master flow output ( F_{master} ) showing absolute directional pressure
Z-Score Value: Statistical deviation ( z_{bounded} ) indicating historical context
Dynamic Narrative System
Context-sensitive interpretation based on mathematical thresholds:
Extreme Flow: I > 2.0 \land |N| > 0.6
Moderate Flow: 0.3 < |N| \leq 0.6
High Volatility: S > 50 \land |N| \leq 0.3
Neutral State: S \leq 50 \land |N| \leq 0.3
ALERT SYSTEM SPECIFICATIONS
Mathematical Trigger Conditions:
Extreme Bullish: I > 2.0 \land N > 0.6
Extreme Bearish: I > 2.0 \land N < -0.6
High Intensity: S > 80
Bullish Shift: N_t > 0.3 \land N_{t-1} \leq 0.3
Bearish Shift: N_t < -0.3 \land N_{t-1} \geq -0.3
TECHNICAL IMPLEMENTATION AND PERFORMANCE
Computational Architecture
The system employs efficient calculation methods minimizing processing overhead:
Single-pass mathematical operations for all components
Conditional visual rendering (executed only on final bar)
Optimized array operations using direct calculations
Real-Time Processing
The indicator updates continuously during bar formation, providing immediate feedback on changing market conditions. Statistical normalization ensures consistent interpretation across varying market regimes.
Market Applicability
Optimal performance in liquid markets with consistent volume patterns. May require parameter adjustment for:
Low-volume or after-hours sessions
News-driven market conditions
Highly volatile cryptocurrency markets
Ranging versus trending market environments
PRACTICAL APPLICATION FRAMEWORK
Market State Classification
This indicator functions as a comprehensive market condition assessment tool providing:
Trend Analysis: High intensity readings ( S > 66% ) with sustained directional bias indicate strong trending conditions suitable for momentum strategies.
Reversal Detection: Extreme readings ( I > 2.0 ) at key technical levels may signal potential trend exhaustion or reversal points.
Range Identification: Low intensity with neutral flow ( S < 33%, |N| < 0.3 ) suggests ranging market conditions suitable for mean reversion strategies.
Volatility Assessment: High intensity without clear directional bias indicates elevated volatility with conflicting pressures.
Integration with Trading Systems
The normalized output range facilitates integration with automated trading systems and position sizing algorithms. The statistical basis provides consistent interpretation across different market conditions and asset classes.
LIMITATIONS AND CONSIDERATIONS
This indicator combines established technical analysis methods and processes historical data without predicting future price movements. The system performs optimally in liquid markets with consistent volume patterns and may produce false signals in thin trading conditions or during news-driven market events. This indicator is provided for educational and analytical purposes only and does not constitute financial advice. Users should combine this analysis with proper risk management, position sizing, and additional confirmation methods before making any trading decisions. Past performance does not guarantee future results.
Note: The term "kernel" in this context refers to modular calculation components rather than mathematical kernel functions in the formal computational sense.
As quantitative analyst Ralph Vince noted: "The essence of successful trading lies not in predicting market direction, but in the systematic processing of market information and the disciplined management of probability distributions."
— Dskyz, Trade with insight. Trade with anticipation.
Hull UT Bot Strategy - UT Main + Hull ConfirmThis strategy merges the strengths of the Hull Moving Average (HMA) Suite and the UT Bot Alerts indicator to create a trend-following system with reduced signal noise. The UT Bot acts as the primary signal generator, using an ATR-based trailing stop to identify momentum shifts and potential entry points. These signals are then filtered by the Hull Suite for trend confirmation: long entries require a UT Bot buy signal aligned with a bullish (green) Hull band, while short entries need a UT Bot sell signal with a bearish (red) Hull band. This combination aims to capture high-probability swings while avoiding whipsaws in choppy markets.The Hull Suite provides a responsive, smoothed moving average (configurable as HMA, EHMA, or THMA) that colors its band based on trend direction, offering a visual and logical filter for the faster UT Bot signals. The result is a versatile strategy suitable for swing trading on timeframes like 1H or 4H, with options for higher timeframe Hull overlays for scalping context. It includes backtesting capabilities via Pine Script's strategy functions, plotting confirmed signals, raw UT alerts (for reference), and the trailing stop line.Key benefits:Noise Reduction: Hull confirmation eliminates ~50-70% of false UT Bot signals in ranging markets (based on typical backtests).
Trend Alignment: Ensures entries follow the broader momentum defined by the Hull band.
Customization: Adjustable sensitivity for different assets (e.g., forex, stocks, crypto).
How It WorksUT Bot Core: Calculates an ATR trailing stop (sensitivity via "Key Value"). A buy signal triggers when price crosses above the stop (bullish momentum), and sell when below (bearish).
Hull Filter: The Hull band is green if current Hull > Hull (bullish), red otherwise. Signals only fire on alignment.
Entries: Long on confirmed UT buy + green Hull; Short on confirmed UT sell + red Hull. No explicit exits—relies on opposite signals for reversal.
Visuals: Plots Hull band, UT trailing stop, confirmed labels (Long/Short), and optional raw UT circles. Bar colors reflect UT position, tinted by confirmation.
Alerts: Triggers on confirmed long/short for automated notifications.
This setup performs well in trending markets but may lag in strong reversals—pair with risk management (e.g., 1-2% per trade).Recommended Settings Use these as starting points; optimize via back testing on your asset/timeframe.
-Hull Variation
Hma
Standard Hull for responsiveness; switch to EHMA for smoother crypto, THMA for volatile stocks.
-Hull Length
55
Balances swing detection; use 180-200 for dynamic S/R levels on higher TFs.
-Hull Length Multiplier
1.0
Keep at 1 for native TF; >1 for HTF straight bands (e.g., 2 for 2x smoothing).
-Show Hull from HTF
False
Enable for scalping (e.g., 1m chart with 15m Hull); set HTF to "15" or "240".
-Color Hull by Trend
True
Visual trend cue; disable for neutral orange line.
-Color Candles by Hull
False
Enable for trend visualization; conflicts with UT bar colors if True.
-Show Hull as Band
True
Fills area for clear up/down zones; set transparency to 40-60.
-Hull Line Thickness
1-2
Thinner for clean charts; 2+ for emphasis.
-UT Bot Key Value
1
Default sensitivity (ATR multiple); 0.5 for aggressive signals, 2 for conservative.
-UT Bot ATR Period
10
Standard volatility window; 14 for longer swings, 5 for intraday.
-UT Signals from HA
False
Use True for smoother signals in noisy markets (Heikin Ashi close).
Backtesting Tips: Test on liquid pairs like EURUSD (1H) or BTCUSD (4H) with 1% equity risk. Expect win rates ~45-60% in trends, with 1.5-2:1 reward:risk. Adjust Key Value down for more trades, Hull Length up for fewer.
Trend-Strong Candle - 3 EMAs with Filters# Trend-Strong Candle - Professional Trading Indicator
## 📊 What It Does
Identifies high-probability entries by combining triple EMA trend analysis with strong candle detection. Only signals when all conditions align for maximum accuracy.
## 🎯 Core Features
- Triple EMA System: Fast (20) / Medium (50) / Slow (200) for trend confirmation
- Strong Candle Filter: ATR-based sizing ensures genuine momentum
- Advanced Filters: EMA close validation + trend stability checks
- Live Alerts: Instant notifications for real-time signals
- Session Filter: Trade only during active EU/US market hours
## ⚡ Quick Setup
Scalping (1-5min): Default settings + enable session filter
Day Trading (15-60min): Default settings work perfectly
Swing Trading (4H+): Increase ATR multiplier to 0.8-1.0
## 📈 Trading Rules
Long Signals: Green triangle below candle
- Strong bullish candle during confirmed uptrend
- All EMAs properly aligned (Fast > Medium > Slow)
Short Signals: Red triangle above candle
- Strong bearish candle during confirmed downtrend
- All EMAs properly aligned (Fast < Medium < Slow)
## ⚠️ Critical Success Factors
1. Always Verify the Trend Yourself
The indicator helps identify signals, but YOU must confirm the larger trend context. Check higher timeframes and overall market structure before entering.
2. Understand the "Big Players"
Strong candles in trend direction usually come from institutional money (banks, funds, algorithms). These create the momentum that retail traders can follow. The indicator catches these institutional moves.
3. Distance to Next Value Level
NEVER enter if price is too close to major resistance/support levels:
- Check distance to round numbers (1.1000, 1.1050, etc.)
- Ensure at least 20-30 pips room to next key level
- You need space for profit - tight levels = limited upside
4. Risk Management
- Stop Loss: 1-2 ATR from entry
- Take Profit: 2-3 ATR target (minimum 1:2 R/R)
- Position Size: Risk max 1-2% per trade
## 💡 Pro Tips
- Best Sessions: London open (8-12 UTC) and NY open (13-17 UTC)
- Avoid: Major news, low liquidity periods, choppy markets
- Multiple Timeframes: Confirm signals on higher timeframe
- Value Levels: Always check daily/weekly support/resistance before entering
## 🎯 Success Formula
Trend Confirmation + Strong Institutional Candle + Distance to Value Levels = High Probability Trade
*
Remember: The indicator finds the signals, but successful trading requires your analysis of trend context and value level positioning. Trade smart, not just frequent.
TRI - Multi-Timeframe BIASTRI - MULTI-TIMEFRAME BIAS INDICATOR
DESCRIPTION:
Advanced multi-timeframe bias indicator that analyzes market sentiment across
5 different timeframes (15m, 1h, 4h, 1d, 1w) using adaptive technical analysis.
Provides clear directional bias signals to help determine market momentum.
KEY FEATURES:
ADAPTIVE PARAMETERS: Uses different EMA lengths and weights for each timeframe
EMA TREND ANALYSIS: Fast/slow EMA crossovers with slope analysis for momentum
RSI MOMENTUM: Adaptive overbought/oversold levels based on timeframe
ADX STRENGTH: Directional movement confirmation with DI+/DI- analysis
COMPOSITE SCORING: Weighted combination of trend, momentum, and strength
TIMEFRAME ANALYSIS:
15m: EMA9/21 + High momentum weight (45%) - Ultra-responsive for scalping
1h: EMA21/50 + Medium momentum weight (35%) - Balanced for day trading
4h: EMA50/200 + Lower momentum weight (25%) - Swing trading focus
1d: EMA50/200 + Trend focused (55%) - Position trading signals
1w: EMA50/200 + Maximum trend weight (60%) - Long-term bias
BIAS SIGNALS:
STRONG BULLISH/BEARISH: Score ≥ 0.5 - Very strong directional momentum
BULLISH/BEARISH: Score ≥ 0.25 - Clear directional signals
WEAK BULLISH/BEARISH: Score ≥ 0.1 - Mild directional bias
NEUTRAL: Score < 0.1 - No clear directional preference
ALERTS:
Major Bullish/Bearish: When 4H and 1D timeframes align
High confidence signals for strategic decision making
USAGE:
Higher timeframes (1d, 1w) show primary market direction
Lower timeframes (15m, 1h) provide entry timing
Look for alignment across multiple timeframes for stronger signals
Use confidence levels to assess signal reliability
TECHNICAL COMPONENTS:
Exponential Moving Averages (EMA) for responsive trend detection
Relative Strength Index (RSI) for momentum analysis
Average Directional Index (ADX) with DI+/DI- for trend strength
Volume ratio confirmation for signal validation
Adaptive thresholds optimized for each timeframe's characteristics
Triple Confirmation StrategyTriple Confirmation Strategy (TCS)
This indicator combines three different technical tools to provide more reliable entry signals:
RSI + Moving Average crossover → momentum confirmation
MACD line & signal crossover → trend direction signal
OBV + EMA crossover → volume-based confirmation
A signal is valid only if all three conditions occur within a given number of bars (default: 5). Optionally, it can be set to trigger only when the third confirmation happens at the current bar.
✨ Features
BUY / SELL markers on the chart
Alertcondition support → alerts can be set instantly
Grouped settings (RSI, MACD, OBV, Logic)
Diagnostic overlay (WSCD-style): RSI, MACD, and OBV visualized on a normalized –100…100 scale for easier monitoring
🎯 Usage
Suitable for both intraday and swing trading with default settings.
Parameters are fully customizable (lookback periods, bar window, diagnostic overlay).
Signals should not be used as a standalone trading system but are most effective when combined with broader context and other forms of analysis.
Quantile Regression Bands [BackQuant]Quantile Regression Bands
Tail-aware trend channeling built from quantiles of real errors, not just standard deviations.
What it does
This indicator fits a simple linear trend over a rolling lookback and then measures how price has actually deviated from that trend during the window. It then places two pairs of bands at user-chosen quantiles of those deviations (inner and outer). Because bands are based on empirical quantiles rather than a symmetric standard deviation, they adapt to skewed and fat-tailed behaviour and often hug price better in trending or asymmetric markets.
Why “quantile” bands instead of Bollinger-style bands?
Bollinger Bands assume a (roughly) symmetric spread around the mean; quantiles don’t—upper and lower bands can sit at different distances if the error distribution is skewed.
Quantiles are robust to outliers; a single shock won’t inflate the bands for many bars.
You can choose tails precisely (e.g., 1%/99% or 5%/95%) to match your risk appetite.
How it works (intuitive)
Center line — a rolling linear regression approximates the local trend.
Residuals — for each bar in the lookback, the indicator looks at the gap between actual price and where the line “expected” price to be.
Quantiles — those gaps are sorted; you select which percentiles become your inner/outer offsets.
Bands — the chosen quantile offsets are added to the current end of the regression line to draw parallel support/resistance rails.
Smoothing — a light EMA can be applied to reduce jitter in the line and bands.
What you see
Center (linear regression) line (optional).
Inner quantile bands (e.g., 25th/75th) with optional translucent fill.
Outer quantile bands (e.g., 1st/99th) with a multi-step gradient to visualise “tail zones.”
Optional bar coloring: bars trend-colored by whether price is rising above or falling below the center line.
Alerts when price crosses the outer bands (upper or lower).
How to read it
Trend & drift — the slope of the center line is your local trend. Persistent closes on the same side of the center line indicate directional drift.
Pullbacks — tags of the inner band often mark routine pullbacks within trend. Reaction back to the center line can be used for continuation entries/partials.
Tails & squeezes — outer-band touches highlight statistically rare excursions for the chosen window. Frequent outer-band activity can signal regime change or volatility expansion.
Asymmetry — if the upper band sits much further from the center than the lower (or vice versa), recent behaviour has been skewed. Trade management can be adjusted accordingly (e.g., wider take-profit upslope than downslope).
A simple trend interpretation can be derived from the bar colouring
Good use-cases
Volatility-aware mean reversion — fade moves into outer bands back toward the center when trend is flat.
Trend participation — buy pullbacks to the inner band above a rising center; flip logic for shorts below a falling center.
Risk framing — set dynamic stops/targets at quantile rails so position sizing respects recent tail behaviour rather than fixed ticks.
Inputs (quick guide)
Source — price input used for the fit (default: close).
Lookback Length — bars in the regression window and residual sample. Longer = smoother, slower bands; shorter = tighter, more reactive.
Inner/Outer Quantiles (τ) — choose your “typical” vs “tail” levels (e.g., 0.25/0.75 inner, 0.01/0.99 outer).
Show toggles — independently toggle center line, inner bands, outer bands, and their fills.
Colors & transparency — customize band and fill appearance; gradient shading highlights the tail zone.
Band Smoothing Length — small EMA on lines to reduce stair-step artefacts without meaningfully changing levels.
Bar Coloring — optional trend tint from the center line’s momentum.
Practical settings
Swing trading — Length 75–150; inner τ = 0.25/0.75, outer τ = 0.05/0.95.
Intraday — Length 50–100 for liquid futures/FX; consider 0.20/0.80 inner and 0.02/0.98 outer in high-vol assets.
Crypto — Because of fat tails, try slightly wider outers (0.01/0.99) and keep smoothing at 2–4 to tame weekend jumps.
Signal ideas
Continuation — in an uptrend, look for pullback into the lower inner band with a close back above the center as a timing cue.
Exhaustion probe — in ranges, first touch of an outer band followed by a rejection candle back inside the inner band often precedes mean-reversion swings.
Regime shift — repeated closes beyond an outer band or a sharp re-tilt in the center line can mark a new trend phase; adjust tactics (stop-following along the opposite inner band).
Alerts included
“Price Crosses Upper Outer Band” — potential overextension or breakout risk.
“Price Crosses Lower Outer Band” — potential capitulation or breakdown risk.
Notes
The fit and quantiles are computed on a fixed rolling window and do not repaint; bands update as the window moves forward.
Quantiles are based on the recent distribution; if conditions change abruptly, expect band widths and skew to adapt over the next few bars.
Parameter choices directly shape behaviour: longer windows favour stability, tighter inner quantiles increase touch frequency, and extreme outer quantiles highlight only the rarest moves.
Final thought
Quantile bands answer a simple question: “How unusual is this move given the current trend and the way price has been missing it lately?” By scoring that question with real, distribution-aware limits rather than one-size-fits-all volatility you get cleaner pullback zones in trends, more honest “extreme” tags in ranges, and a framework for risk that matches the market’s recent personality.
RSI MA Cross + Divergence Signal (fixed)🔹 Core Logic
RSI + Moving Average
The script calculates a standard RSI (default 14).
It then overlays a moving average (SMA/EMA/WMA, default 9).
When RSI crosses above its MA → bullish momentum.
When RSI crosses below its MA → bearish momentum.
Divergence Filter
Signals are only valid if there’s confirmed divergence:
Bullish divergence: Price makes a lower low, RSI makes a higher low.
Bearish divergence: Price makes a higher high, RSI makes a lower high.
Overbought / Oversold Filter
Optional extra:
Bullish signals only valid if RSI ≤ 30 (oversold).
Bearish signals only valid if RSI ≥ 70 (overbought).
This ensures signals happen in “stretched” conditions.
Risk & Trade Management
Entries taken only when all conditions align.
Exits can be managed with ATR stops, partial take-profits, breakeven moves, and trailing stops (we coded these in the strategy version).
Cooldown, session filters, and daily loss guard to keep risk tight.
🔹 Strengths
✅ High selectivity: Combining RSI cross + divergence + OB/OS means signals are rare but higher quality.
✅ Great at catching reversals: Divergence highlights where price may be running out of steam.
✅ Risk management baked in: ATR stops + partial exits smooth out equity curve.
✅ Works across markets: ES, FX, crypto — anywhere RSI divergences are respected.
✅ Flexible: You can loosen/tighten filters depending on aggressiveness.
🔹 Weaknesses
❌ Lag from pivots: Divergence only confirms after a few bars → you enter late sometimes.
❌ Choppy in ranges: In sideways markets, RSI divergences appear often and whipsaw.
❌ Filters reduce signals: With all filters ON (divergence + OB/OS + trend + session), signals can be very rare — may under-trade.
❌ Not standalone: Needs higher-timeframe context (trend, liquidity pools) to avoid counter-trend entries.
🔹 Best Ways to Trade It
Use Higher Timeframe Bias
Run the strategy on 15m/1H, but only trade in direction of higher timeframe trend (e.g., 4H EMA).
Example: If daily is bullish → only take bullish divergences.
Pair With Structure
Look for signals at key zones: HTF support/resistance, VWAP, or FVGs.
Divergence + RSI cross inside an FVG is a strong entry trigger.
Adjust OB/OS for Volatility
For crypto/FX: use 35/65 instead of 30/70 (markets trend harder).
For ES/S&P: 30/70 works fine.
Risk Management Is King
Use partial exits: take profit at 1R, trail rest.
Size by % of equity (we coded this into the strategy).
Avoid News Spikes
Divergences break down around CPI, NFP, Fed announcements — stay flat.
🔹 When It Shines
Trending markets that make extended pushes → clean divergences.
Reversal zones (oversold → bullish bounce, overbought → bearish fade).
Swing trading (15m–4H) — less noise than 1m/5m scalping.
🔹 When to Avoid
Low volatility chop → lots of false divergences.
During high-impact news → RSI swings wildly.
In strong one-way trends without pullbacks — divergence keeps calling tops/bottoms too early.
✅ Summary:
This is a reversal-focused RSI divergence strategy with strict filters. It’s powerful when combined with higher-timeframe bias + structure confluence, but weak if traded blindly in choppy or news-driven conditions. Best to treat it as a precision entry trigger, not a full system — layer it on top of your FVG/ORB framework for maximum edge.
