Bollinger Band Crossover SignalI'm a little surprised I couldn't find a BB crossover script on here since I've always used it on other charting software. So of course I had to write one in for TradingView.
Essentially what this script signifies are price breakouts when price crosses over the upper BB band. So what it shows is that market conditions are entering overbought territory.
Length is set to 20 and Standard Deviation is set to 2. These are the default settings.
The way I use the script is to identify breakouts in price, as well as a signal to start scaling out of a position if I am already in one.
Cari dalam skrip untuk "signal"
Logistic EMA w/ Signals by DGTLogistic Map Equation - The logistic map connects fluid convection, neuron firing, the Mandelbrot set and so much more.
This study is an attempt to apply Logistic Map Equation in Trading
Logistic Map Equation
Xn+1 = r * Xn * (1 - Xn)
Where,
r - growth rate
Xn - percentage of theoretical maximum of measured event (from 0 to 1)
(1 - Xn) - represents constraints of the environment, presents the idea of negative feedback
For trading the measured event will be the price of the instrument (price is commonly reffered as source in mathematicall forumlations),
hence
r - growth rate can be expressed as => change(source, length) / source, expressing r in such manner mades the equation dynamic with regards to the growth rate
Xn - percentage of theoretical maximum of the price for given duration can be expressed as => source / highest(length)
Putting pieces together we are ready to plot
Printed alone does not seem to provide much useful visualization for trading, in fact not easy to interpret especially when the market is an uptrend
What it has numerically,
Provides a ratio, where sudden changes are much more reflected thanks to negative feedback nature of the logistic equation.
As we know moving average indicators are lagging and the logistic map may fit here to reduce the lag
With this study you will find application of Logistic Map Equation with combination of Exponential Moving Average (EMA)
Logistic EMA (LEMA) and LEMA COLORS
one line with user defined periods of length, where the colors of the line will change automatically depending where the value is compared to 50-100-200 moving average
Multiple LEMAs : optional – three fixed lenght of 50-100-200 period lines
LEMA Signals
Various signals are added by using LEMA and applying some common market approaches. Use with caution and with conjunction of other indicators
Thanks to @allanster for the idea
A fascinating YouTube video explaining the logistic map - “This equation will change how you see the world (the logistic map)”
Disclaimer:
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Three EMA Scalp Signals by kmderhamThis script looks for a set up condition where 5 consecutive candles have broken away from the fast EMA (set to 8 by default) followed by a "trigger" candle that crosses back over the fast EMA but not the medium EMA (set to 13 by default). It then determines the entry point based on the bar high or low (not tail or wick) depending on direction of the trend. Once the entry point is crossed, we can enter the position. Win or loss is determined whether the lower or upper levels are crossed (as per trend). After the position is won or lost and if the entry level is re-crossed before a new set up condition is found then a new entry signal is given.
Please note that this should really be used in conjunction with a higher timeframe "Anchor" chart with a fast and a slow EMA so setups and positions should should correspond to the trend of the higher timeframe chart. This was designed for a 5 minute timeframe and a 60 minute anchor chart.
BO - Bar's direction Signal - BacktestingBO - Bar's direction Signal - Backtesting Options:
A. Factors Calculate probability of x bars same direction
1. Periods Counting: Data to count From day/month/year To day/month/year
2. Trading Time: only cases occurred in trading time were counted.
B. Timezone
1. Trading time depend on Time zone and specified chart.
2. Enable Highlight Trading Time to check your period time is correct
C. Date Backtesting
* Only cases occurred in Date Backtesting were reported.
D. Setup Options & Rule
1. Reversal after 2 bars same direction
* Probability of 3 bars same direction < 50
* 2 bars same direction is start of series
2. Reversal after 3 bars same direction
* Probability of 4 bars same direction < 50
* 3 bars same direction is start of series
3. Reversal after 4 bars same direction
* Probability of 4 bars same direction < 50
* 3 bars same direction is start of series
4. Reversal after 5 bars same direction
* Probability of 5 bars same direction < 50
* 4 bars same direction is start of series
5. Reversal after 6 bars same direction
* Probability of 6 bars same direction < 50
* 5 bars same direction is start of series
Crossing Ema Signals by SedkurGives an signals when 2 Ema's cross.
You can
- change EMA values
- change the signal start year
Bollinger + RSI Signals (by Bader Kamal)This idea originally by ChartArt on January 14, 2015 as Strategy, and I modify it to become as Signals on 26 July 2019.
This signals uses a modified RSI to sell when the RSI increases over the value of 60 (or to buy when the value falls below 40), with the classic Bollinger Bands strategy to sell when the price is above the upper Bollinger Band (and to buy when this value is below the lower band).
This signals only triggers when both the RSI and the Bollinger Bands indicators are at the same time in a overbought or oversold condition.
9/21 MovingAvg Cross Signal EGAV.35Simple buy/sell signal with 9 & 21 ema cross over/under, works better in Daily Charts
RN MACD SignalsThis is my simple way to quickly see MACD signals without having the MACD taking up space. The one at the bottom is for display to show how this works. A crossover occurs when the arrow flips over. The position of the arrow tells you if it is currently above or below the zero line. You can change the script to overlay and have it show up above or below price also. Let me know what you think.
Breakout and Retest Signals [AlgoAlpha]OVERVIEW
This script detects breakout and retest signals by identifying key pivot points in price action and analyzing their relationship with historical swing highs and lows. It highlights breakout structures using ATR-based tolerance levels and volume analysis to confirm potential trend continuations or reversals. The script marks significant price levels with dynamic boxes and dashed lines to help traders visualize breakout and retest areas effectively.
CONCEPTS
The script relies on pivot point analysis, a technique used to identify significant price levels where the market has previously reversed. It dynamically tracks a set number of recent swing highs and lows, allowing traders to see if the price is revisiting a previously significant level. The concept of breakouts and retests is widely used in technical analysis to determine potential entry points. A breakout occurs when the price moves beyond a resistance or support level, and a retest happens when the price returns to test that level before continuing in the breakout direction. This script enhances that analysis by incorporating ATR-based tolerance levels, ensuring that price zones are not too large.
FEATURES
Breakout and Retest Markings : Highlights breakout and retest areas with shaded boxes, allowing traders to visualize where price action is confirming key levels.
Volume Delta and Ratio : Analyzes volume at breakout levels to gauge the strength of the move, displaying volume delta information for additional context. The script also displays the ratio of selling to buying at the retest along traders to make better judgement on their entries.
Multi-Timeframe Adaptability : Dynamically adjusts volume analysis to align with the appropriate lower timeframe, ensuring reliable volume comparisons.
Alerts for Breakout and Retest Events : Traders can receive real-time notifications when bullish or bearish breakout retests are detected.
USAGE
This script is best suited for traders looking to identify strong breakout and retest setups across different timeframes. Users can customize the pivot detection period and swing point memory to adjust sensitivity based on their trading style. The ATR length and multiplier allow further refinement of breakout tolerance, reducing noise in volatile markets. The breakout zones are displayed as shaded boxes, where traders can assess whether a price retest is occurring under favorable conditions. Alerts can be set to notify traders of potential trade opportunities.
Luma Signals – Orderflow ImbalanceLuma Signals – Imbalance Detector
The Luma Signals – Imbalance Detector highlights price inefficiencies where buying or selling pressure dominates, causing rapid market movements. These imbalances can act as potential support and resistance zones or indicate areas where liquidity needs to be filled.
🔹 Key Features:
✔ Identifies Bullish & Bearish Imbalances – Blue candles indicate strong buying pressure, red candles indicate strong selling pressure.
✔ Clear Market Structure – Normal bullish candles appear in light gray, normal bearish candles in white.
✔ Dynamic Orderflow Analysis – Helps traders spot high-volatility price movements and potential reversals.
✔ No repainting & lightweight – The indicator works in real-time without altering past data.
📊 How to Use:
Trend Confirmation: If an imbalance aligns with a strong trend, it may indicate trend continuation.
Liquidity Gaps: Price often revisits imbalances before continuing its movement.
Scalping & Intraday Trading: Identify key reaction points for short-term trades.
Quick scan for signal🙏🏻 Hey TV, this is QSFS, following:
^^ Quick scan for drift (QSFD)
^^ Quick scan for cycles (QSFC)
As mentioned before, ML trading is all about spotting any kind of non-randomness, and this metric (along with 2 previously posted) gonna help ya'll do it fast. This one will show you whether your time series possibly exhibits mean-reverting / consistent / noisy behavior, that can be later confirmed or denied by more sophisticated tools. This metric is O(n) in windowed mode and O(1) if calculated incrementally on each data update, so you can scan Ks of datasets w/o worrying about melting da ice.
^^ windowed mode
Now the post will be divided into several sections, and a couple of things I guess you’ve never seen or thought about in your life:
1) About Efficiency Ratios posted there on TV;
Some of you might say this is the Efficiency Ratio you’ve seen in Perry's book. Firstly, I can assure you that neither me nor Perry, just as X amount of quants all over the world and who knows who else, would say smth like, "I invented it," lol. This is just a thing you R&D when you need it. Secondly, I invite you (and mods & admin as well) to take a lil glimpse at the following screenshot:
^^ not cool...
So basically, all the Efficiency Ratios that were copypasted to our platform suffer the same bug: dudes don’t know how indexing works in Pine Script. I mean, it’s ok, I been doing the same mistakes as well, but loxx, cmon bro, you... If you guys ever read it, the lines 20 and 22 in da code are dedicated to you xD
2) About the metric;
This supports both moving window mode when Length > 0 and all-data expanding window mode when Length < 1, calculating incrementally from the very first data point in the series: O(n) on history, O(1) on live updates.
Now, why do I SQRT transform the result? This is a natural action since the metric (being a ratio in essence) is bounded between 0 and 1, so it can be modeled with a beta distribution. When you SQRT transform it, it still stays beta (think what happens when you apply a square root to 0.01 or 0.99), but it becomes symmetric around its typical value and starts to follow a bell-shaped curve. This can be easily checked with a normality test or by applying a set of percentiles and seeing the distances between them are almost equal.
Then I noticed that on different moving window sizes, the typical value of the metric seems to slide: higher window sizes lead to lower typical values across the moving windows. Turned out this can be modeled the same way confidence intervals are made. Lines 34 and 35 explain it all, I guess. You can see smth alike on an autocorrelogram. These two match the mean & mean + 1 stdev applied to the metric. This way, we’ve just magically received data to estimate alpha and beta parameters of the beta distribution using the method of moments. Having alpha and beta, we can now estimate everything further. Btw, there’s an alternative parameterization for beta distributions based on data length.
Now what you’ll see next is... u guys actually have no idea how deep and unrealistically minimalistic the underlying math principles are here.
I’m sure I’m not the only one in the universe who figured it out, but the thing is, it’s nowhere online or offline. By calculating higher-order moments & combining them, you can find natural adaptive thresholds that can later be used for anomaly detection/control applications for any data. No hardcoded thresholds, purely data-driven. Imma come back to this in one of the next drops, but the truest ones can already see it in this code. This way we get dem thresholds.
Your main thresholds are: basis, upper, and lower deviations. You can follow the common logic I’ve described in my previous scripts on how to use them. You just register an event when the metric goes higher/lower than a certain threshold based on what you’re looking for. Then you take the time series and confirm a certain behavior you were looking for by using an appropriate stat test. Or just run a certain strategy.
To avoid numerous triggers when the metric jitters around a threshold, you can follow this logic: forget about one threshold if touched, until another threshold is touched.
In general, when the metric gets higher than certain thresholds, like upper deviation, it means the signal is stronger than noise. You confirm it with a more sophisticated tool & run momentum strategies if drift is in place, or volatility strategies if there’s no drift in place. Otherwise, you confirm & run ~ mean-reverting strategies, regardless of whether there’s drift or not. Just don’t operate against the trend—hedge otherwise.
3) Flex;
Extension and limit thresholds based on distribution moments gonna be discussed properly later, but now you can see this:
^^ magic
Look at the thresholds—adaptive and dynamic. Do you see any optimizations? No ML, no DL, closed-form solution, but how? Just a formula based on a couple of variables? Maybe it’s just how the Universe works, but how can you know if you don’t understand how fundamentally numbers 3 and 15 are related to the normal distribution? Hm, why do they always say 3 sigmas but can’t say why? Maybe you can be different and say why?
This is the primordial power of statistical modeling.
4) Thanks;
I really wanna dedicate this to Charlotte de Witte & Marion Di Napoli, and their new track "Sanctum." It really gets you connected to the Source—I had it in my soul when I was doing all this ∞
How To Limit Repeating SignalsAn example of how to limit the input number of allowed signals using a function containing a condition counter with a reset.
Tutporial Pedia (Signal buy & Sell)Untuk mempermudah kita dalam bermain dan memahami Signal Trade View Rate 98 %
Double EMA WIth Pullback Buy Sell Signal - Smarter AlgoBuilt with love "Double EMA With Pullback Buy Sell Signal "
This indiator will help you to find a Double EMA Pullback Signal
You can combine with your own strategy, or use this purely
DISCLAIMER :
Measure the risk first before use it in real market
Backtest The Strategy was very important, so you know the probability
Fundamentally Logical :
Pullback (Some Previous candle is Red for Bull Pullback vice versa)
the Entry candle must be a Candlestick Pattern
Features :
1. Double EMA
2. Pullback Signal
How to use it :
1. Adjust the Pullback Backstep
2. Adjust the EMA Period
3. Adjust the Style to your preferences
Regards,
Hanabil
Average True Range (VStop) Cloud SignalsThis indicator extends the built-in Volatility Stop indicator to a visual signals type indicator based on the crossover of a small VStop value (default 1.5x ATR) and a larger VStop value (default 3x ATR). The two values form a "cloud" with default coloring based on RSI/strength of trend.
P-Signal GravityP-Signal Gravity will help you choose a trading strategy, taking into account volatility and exchange commissions. The white circles indicate the probabilistic position of the virtual center of gravity. The reliability parameter determines the probability of finding such a center of gravity. The table shows the latest price and the expected P/L, taking into account the exchange commission, which is also a parameter. Due to the overlay type of indicator, the table also contains p-signal values and its increment.
Electrified Momentum Signal (Prototype)This indicator uses an ensemble of different indicators to help in identifying significant changes in momentum.
It's time-frame is constant and is based up on the length of the configurable period. This allows for a consistent signal across multiple time-frames.
This is not a buy or sell signal but can be used for alerts to indicate a change in momentum that might be worth paying attention to.
If looking for an long entry point, a negative (red) value can signal "don't buy yet" or may simple mean "it's risky". In a similar way if looking for a short, a positive (green) value can signal "not now".
Note: "Electrified" does not mean this has anything to do with electric vehicles or the power grid. :P
MACD and EMA200 With SignalsThis is my first indicator. It PROVIDES BUY, SHORT, and FALSE Signals by taking the MACD and the 200EMA.
Next Chart SignalGives you the signal when 3 MA's are crossing from the higher time frame above the current chart.
Elliott Wave Oscillator Signals by DGTElliott Wave Principle , developed by Ralph Nelson Elliott, proposes that the seemingly chaotic behaviour of the different financial markets isn’t actually chaotic. In fact the markets moves in predictable, repetitive cycles or waves and can be measured and forecast using Fibonacci numbers. These waves are a result of influence on investors from outside sources primarily the current psychology of the masses at that given time. Elliott wave predicts that the prices of the a traded currency pair will evolve in waves: five impulsive waves and three corrective waves. Impulsive waves give the main direction of the market expansion and the corrective waves are in the opposite direction (corrective wave occurrences and combination corrective wave occurrences are much higher comparing to impulsive waves)
The Elliott Wave Oscillator (EWO) helps identifying where you are in the 5-3 Elliott Waves, mainly the highest/lowest values of the oscillator might indicate a potential bullish/bearish Wave 3. Mathematically expressed, EWO is the difference between a 5-period and 35-period moving average based on the close. In this study instead 35-period, Fibonacci number 34 is implemented for the slow moving average and formula becomes ewo = ema(source, 5) - ema(source, 34)
The application of the Elliott Wave theory in real time trading gets difficult because the charts look messy. This study (EWO-S) simplifies the visualization of EWO and plots labels on probable reversals/corrections. The good part is that all plotting’s are performed on the top of the price chart including a histogram (optional and supported on higher timeframes). Additionally optional Keltner Channels Cloud added to help confirming the price actions.
What to look for:
Plotted labels can be used to follow the Elliott Wave occurrences and most importantly they can be considered as signals for possible trade setup opportunities. Elliott Wave Rules and Fibonacci Retracement/Extensions are suggested to confirm the patters provided by the EWO-S
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
Disclaimer : The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Ehlers Enhanced Signal To Noise Ratio [CC]The Enhanced Signal To Noise Ratio was created by John Ehlers (Rocket Science For Traders pgs 87-88) and this is my favorite Ehlers Signal To Noise Ratio indicator. Scalpers like to use this indicator because when it is above the dotted line then the stock is trending and not trading sideways. Buy when the indicator line is green and sell when it is red.
Let me know when you want to see me publish other indicators or if you want something custom done!
Ehlers Signal To Noise Ratio [CC]The Signal To Noise Ratio was created by John Ehlers (Rocket Science For Traders pgs 81-82) and this indicator is perfect for all of the scalpers out there! This will let you know when the stock is at a high volatility or not and when to buy or sell. If the indicator crosses over the dotted line then that means the stock is volatile and it is trading flat then it will be below the dotted line. Buy when the indicator line is green and sell when it is red.
This was a custom request so let me know if there are any other scripts you would like me to publish or if you want something custom done!
