Chaikin Money Flow + MACD + ATRHere I present you on of Trade Pro's Trading Idea: Chaikin Money Flow + MACD + ATR.
This strategy is not as profitable as it can be seen in one of his videos. In the forex market, the strategy could reach a maximum of 35% profitability.
I have, as some of my followers have requested, created an overview of the current position, risk and leverage settings in the form of a table.
Furthermore, one can again swap between short and long positions.
It is now possible to select or deselect individual indicators.
I have chosen the ATR alone as a take profit stop loss, as in his strategy.
A position is only triggered as soon as all prerequisites have been fulfilled and a command is executed. This prevents false triggering by bots and repainting.
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How does the strategy work?
ENTRY
Long
The MACD indicator must be above the zero line.
Then the K line must cross the D line.
Finally, when this happens, the Money Flow Index must be above the zero line.
Short
Contrary to the premise of long positions.
EXIT
ATR Exit
The value of ATR at the time of buying is multiplied by the value entered in "Profit factor ATR" and "Stop factor ATR". As soon as the price reaches this value, it is closed.
Important
The script must be optimized for each coin or currency pair.
I will publish a guide to the strategy shortly. There I will explain how the table works and how to set the strategy correctly.
The results of the strategy are without commissions and leverage.
If you have any questions or feedback, please let me know in the comments.
Cari dalam skrip untuk "profit"
Realtime Delta Volume Action [LucF]█ OVERVIEW
This indicator displays on-chart, realtime, delta volume and delta ticks information for each bar. It aims to provide traders who trade price action on small timeframes with volume and tick information gathered as updates come in the chart's feed. It builds its own candles, which are optimized to display volume delta information. It only works in realtime.
█ WARNING
This script is intended for traders who can already profitably trade discretionary on small timeframes. The high cost in fees and the excitement of trading at small timeframes have ruined many newcomers to trading. While trading at small timeframes can work magic for adrenaline junkies in search of thrills rather than profits, I DO NOT recommend it to most traders. Only seasoned discretionary traders able to factor in the relatively high cost of such a trading practice can ever hope to take money out of markets in that type of environment, and I would venture they account for an infinitesimal percentage of traders. If you are a newcomer to trading, AVOID THIS TOOL AT ALL COSTS — unless you are interested in experimenting with the interpretation of volume delta combined with price action. No tool currently available on TradingView provides this type of close monitoring of volume delta information, but if you are not already trading small timeframes profitably, please do not let yourself become convinced that it is the missing piece you needed. Avoid becoming a sucker who only contributes by providing liquidity to markets.
The information calculated by the indicator cannot be saved on charts, nor can it be recalculated from historical bars.
If you refresh the chart or restart the script, the accumulated information will be lost.
█ FEATURES
Key values
The script displays the following key values:
• Above the bar: ticks delta (DT), the total ticks for the bar, the percentage of total ticks that DT represents (DT%)
• Below the bar: volume delta (DV), the total volume for the bar, the percentage of total volume that DV represents (DV%).
Candles
Candles are composed of four components:
1. A top shaped like this: ┴, and a bottom shaped like this: ┬ (picture a normal Japanese candle without a body outline; the values used are the same).
2. The candle bodies are filled with the bull/bear color representing the polarity of DV. The intensity of the body's color is determined by the DV% value.
When DV% is 100, the intensity of the fill is brightest. This plays well in interpreting the body colors, as the smaller, less significant DV% values will produce less vivid colors.
3. The bright-colored borders of the candle bodies occur on "strong bars", i.e., bars meeting the criteria selected in the script's inputs, which you can configure.
4. The POC line is a small horizontal line that appears to the left of the candle. It is the volume-weighted average of all price updates during the bar.
Calculations
This script monitors each realtime update of the chart's feed. It first determines if price has moved up or down since the last update. The polarity of the price change, in turn, determines the polarity of the volume and tick for that specific update. If price does not move between consecutive updates, then the last known polarity is used. Using this method, we can calculate a running volume delta and ticks delta for the bar, which becomes the bar's final delta values when the bar closes (you can inspect values of elapsed realtime bars in the Data Window or the indicator's values). Note that these values will all reset if the script re-executes because of a change in inputs or a chart refresh.
While this method of calculating is not perfect, it is by far the most precise way of calculating volume delta available on TradingView at the moment. Calculating more precise results would require scripts to have access to tick data from any chart timeframe. Charts at seconds timeframes do use exchange/broker ticks when the feeds you are using allow for it, and this indicator will run on them, but tick data is not yet available from higher timeframes. Also, note that the method used in this script is far superior to the intrabar inspection technique used on historical bars in my other "Delta Volume" indicators. This is because volume and ticks delta here are calculated from many more realtime updates than the available intrabars in history. Unfortunately, the calculation method used here cannot be used on historical bars, where intrabar inspection remains, in my opinion, the optimal method.
Inputs
The script's inputs provide many ways to personalize all the components: what is displayed, the colors used to display the information, and the marker conditions. Tooltips provide details for many of the inputs; I leave their exploration to you.
Markers
Markers provide a way for you to identify the points of interest of your choice on the chart. You control the set of conditions that trigger each of the five available markers.
You select conditions by entering, in the field for each marker, the number of each condition you want to include, separated by a comma. The conditions are:
1 — The bar's polarity is up/dn.
2 — `close` rises/falls ("rises" means it is higher than its value on the previous bar).
3 — DV's polarity is +/–.
4 — DV% rises (↕).
5 — POC rises/falls.
6 — The quantity of realtime updates rises (↕).
7 — DV > limit (You specify the limit in the inputs. Since DV can be +/–, DV– must be less than `–limit` for a short marker).
8 — DV% > limit (↕).
9 — DV+ rises for a long marker, DV– falls for a short.
10 — Consecutive DV+/DV– on two bars.
11 — Total volume rises (↕).
12 — DT's polarity is +/–.
13 — DT% rises (↕).
14 — DT+ rises for a long marker, DT– falls for a short.
Conditions showing the (↕) symbol do not have symmetrical states; they act more like filters. If you only include condition 4 in a marker's setup, for example, both long and short markers will trigger on bars where DV% rises. To trigger only long or short markers, you must add a condition providing directional differentiation, such as conditions 1 or 2. Accordingly, you would enter "1,4" or "2,4".
For a marker to trigger, ALL the conditions you specified for it must be met. Long markers appear on the chart as "Mx▲" signs under the values displayed below candles. Short markers display "Mx▼" over the number of updates displayed above candles. The marker's number will replace the "x" in "Mx▲". The script loads with five markers that will not trigger because no conditions are associated with them. To activate markers, you will need to select and enter the set of conditions you require for each one.
Alerts
You can configure alerts on this script. They will trigger whenever one of the configured markers triggers. Alerts do not repaint, so they trigger at the bar's close—which is also when the markers will appear.
█ HOW TO USE IT
As a rule, I do not prescribe expected use of my indicators, as traders have proved to be much more creative than me in using them. Additionally, I tend to think that if you expect detailed recommendations from me to be able to use my indicators, it's a sign you are in a precarious situation and should go back to the drawing board and master the necessary basics that will allow you to explore and decide for yourself if my indicators can be useful to you, and how you will use them. I will make an exception for this thing, as it presents fairly novel information. I will use simple logic to surmise potential uses, as contrary to most of my other indicators, I have NOT used this one to actually trade. Markets have a way of throwing wrenches in our seemingly bullet-proof rationalizing, so drive cautiously and please forgive me if the pointers I share here don't pan out.
The first thing to do is to disable your normal bars. You can do this by clicking on the eye icon that appears when you hover over the symbol's name in the upper-left corner of your chart.
The absolute value and polarity of DV mean little without perspective; that's why I include both total volume for the bar and the percentage that DV represents of that total volume. I interpret a low DV% value as indecision. If you share that opinion, you could, let's say, configure one of the markers on "DV% > 80%", for example (to do so you would enter "8" in the condition field of any marker, and "80" in the limit field for condition 8, below the marker conditions).
I also like to analyze price action on the bar with DV%. Small DV% values should often produce small candle bodies. If a small DV% value occurs on a bar with much movement and high volume, I'm thinking "tough battle with potential explosive power when one side wins". Conversely, large bodies with high DV% mean that large volume is breaching through multiple levels, or that nobody is suddenly willing to take the other side of a normal volume of trades.
I find the POC lines really interesting. First, they tell us the price point where the most significant action (taking into account both price occurrences AND volume) during the bar occurred. Second, they can be useful when compared against past values. Third, their color helps us in figuring out which ones are the most significant. Unsurprisingly, bunches of orange POCs tend to appear in consolidation zones, in pauses, and before reversals. It may be useful to often focus more on POC progression than on `close` values. This is not to say that OHLC values are not useful; looking, as is customary, for higher highs or lower lows, or for repeated tests of precise levels can of course still be useful. I do like how POCs add another dimension to chart readings.
What should you do with the ticks delta above bars? Old-time ticker tape readers paid attention to the sounds coming from it (the "ticker" moniker actually comes from the sound they made). They knew activity was picking up when the frequency of the "ticks" increased. My thinking is that the total number of ticks will help you in the same way, since increasing updates usually mean growing interest—and thus perhaps price movement, as increasing volatility or volume would lead us to surmise. Ticks delta can help you figure out when proportionally large, random orders come in from traders with other perspectives than the short-term price action you are typically working with when you use this tool. Just as volume delta, ticks delta are one more informational component that can help you confirm convergence when building your opinions on price action.
What are strong bars? They are an attempt to identify significance. They are like a default marker, except that instead of displaying "Mx▲/▼" below/above the bar, the candle's body is outlined in bright bull/bear color when one is detected. Strong bars require a respectable amount of conditions to be met (you can see and re-configure them in the inputs). Think of them as pushes rather than indications of an upcoming, strong and multi-bar move. Pushes do, for sure, often occur at the beginning of strong trends. You will often see a few strong bars occur at 2-3 bar intervals at the beginning or middle of trends. But they also tend to occur at tops/bottoms, which makes their interpretation problematic. Another pattern that you will see quite frequently is a final strong bar in the direction of the trend, followed a few bars later by another strong bar in the reverse direction. My summary analyses seemed to indicate these were perhaps good points where one could make a bet on an early, risky reversal entry.
The last piece of information displayed by the indicator is the color of the candle bodies. Three possible colors are used. Bull/bear is determined by the polarity of DV, but only when the bar's polarity matches that of DV. When it doesn't, the color is the divergence color (orange, by default). Whichever color is used for the body, its intensity is determined by the DV% value. Maximum intensity occurs when DV%=100, so the more significant DV% values generate more noticeable colors. Body colors can be useful when looking to confirm the convergence of other components. The visual effect this creates hopefully makes it easier to detect patterns on the chart.
One obvious methodology that comes to mind to trade with this tool would be to use another indicator like Technical Ratings at a higher timeframe to identify the larger context's trend, and then use this tool to identify entries for short-term trades in that direction.
█ NOTES AND RAMBLINGS
Instant Calculations
This indicator uses instant values calculated on the bar only. No moving averages or calculations involving historical periods are used. The only exception to this rule is in some of the marker conditions like "Two consecutive DV+ values", where information from the previous bar is used.
Trading Small vs Long Timeframes
I never trade discretionary at the 5sec–5min timeframes this indicator was designed to be used with; I trade discretionary at 1D, 1W and 1M timeframes, and let systems trade at smaller timeframes. The higher the timeframe you trade at, the fewer fees you will pay because you trade less and are not churning trading volume, as is inevitable at smaller timeframes. Trading at higher timeframes is also a good way to gain an instant edge on most of the trading crowd that has its nose to the ground and often tends to forget the big picture. It also makes for a much less demanding trading practice, where you have lots of time to research and build your long-term opinions on potential future outcomes. While the future is always uncertain, I believe trades riding on long-term trends have stronger underlying support from the reality outside markets.
To traders who will ask why I publish an indicator designed for small timeframes, let me say that my main purpose here is to showcase what can be done with Pine. I often see comments by coders who are obviously not aware of what Pine is capable of in 2021. Since its humble beginnings seven years ago, Pine has grown and become a serious programming language. TradingView's growing popularity and its ongoing commitment to keep Pine accessible to newcomers to programming is gradually making Pine more and more of a standard in indicator and strategy programming. The technical barriers to entry for traders interested in owning their trading practice by developing their personal tools to trade have never been so low. I am also publishing this script because I value volume delta information, and I present here what I think is an original way of analyzing it.
Performance
The script puts a heavy load on the Pine runtime and the charting engine. After running the script for a while, you will often notice your chart becoming less responsive, and your chart tab can take longer to activate when you go back to it after using other tabs. That is the reason I encourage you to set the number of historical values displayed on bars to the minimum that meets your needs. When your chart becomes less responsive because the script has been running on it for many hours, refreshing the browser tab will restart everything and bring the chart's speed back up. You will then lose the information displayed on elapsed bars.
Neutral Volume
This script represents a departure from the way I have previously calculated volume delta in my scripts. I used the notion of "neutral volume" when inspecting intrabar timeframes, for bars where price did not move. No longer. While this had little impact when using intrabar inspection because the minimum usable timeframe was 1min (where bars with zero movement are relatively infrequent), a more precise way was required to handle realtime updates, where multiple consecutive prices often have the same value. This will usually happen whenever orders are unable to move across the bid/ask levels, either because of slow action or because a large-volume bid/ask level is taking time to breach. In either case, the proper way to calculate the polarity of volume delta for those updates is to use the last known polarity, which is how I calculate now.
The Order Book
Without access to the order book's levels (the depth of market), we are limited to analyzing transactions that come in the TradingView feed for the chart. That does not mean the volume delta information calculated this way is irrelevant; on the contrary, much of the information calculated here is not available in trading consoles supplied by exchanges/brokers. Yet it's important to realize that without access to the order book, you are forfeiting the valuable information that can be gleaned from it. The order book's levels are always in movement, of course, and some of the information they contain is mere posturing, i.e., attempts to influence the behavior of other players in the market by traders/systems who will often remove their orders when price comes near their order levels. Nonetheless, the order book is an essential tool for serious traders operating at intraday timeframes. It can be used to time entries/exits, to explain the causes of particular price movements, to determine optimal stop levels, to get to know the traders/systems you are betting against (they tend to exhibit behavioral patterns only recognizable through the order book), etc. This tool in no way makes the order book less useful; I encourage all intraday traders to become familiar with it and avoid trading without one.
(IK) Base Break BuyThis strategy first calculates areas of support (bases), and then enters trades if that support is broken. The idea is to profit off of retracement. Dollar-cost-averaging safety orders are key here. This strategy takes into account a .1% commission, and tests are done with an initial capital of 100.00 USD. This only goes long.
The strategy is highly customizable. I've set the default values to suit ETH/USD 15m. If you're trading this on another ticker or timeframe, make sure to play around with the settings. There is an explanation of each input in the script comments. I found this to be profitable across most 'common sense' values for settings, but tweaking led to some pretty promising results. I leaned more towards high risk/high trade volume.
Always remember though: historical performance is no guarantee of future behavior . Keep settings within your personal risk tolerance, even if it promises better profit. Anyone can write a 100% profitable script if they assume price always eventually goes up.
Check the script comments for more details, but, briefly, you can customize:
-How many bases to keep track of at once
-How those bases are calculated
-What defines a 'base break'
-Order amounts
-Safety order count
-Stop loss
Here's the basic algorithm:
-Identify support.
--Have previous candles found bottoms in the same area of the current candle bottom?
--Is this support unique enough from other areas of support?
-Determine if support is broken.
--Has the price crossed under support quickly and with certainty?
-Enter trade with a percentage of initial capital.
-Execute safety orders if price continues to drop.
-Exit trade at profit target or stop loss.
Take profit is dynamic and calculated on order entry. The bigger the 'break', the higher your take profit percentage. This target percentage is based on average position size, so as safety orders are filled, and average position size comes down, the target profit becomes easier to reach.
Stop loss can be calculated one of two ways, either a static level based on initial entry, or a dynamic level based on average position size. If you use the latter (default), be aware, your real losses will be greater than your stated stop loss percentage . For example:
-stop loss = 15%, capital = 100.00, safety order threshold = 10%
-you buy $50 worth of shares at $1 - price average is $1
-you safety $25 worth of shares at $0.9 - price average is $0.966
-you safety $25 worth of shares at $0.8. - price average is $0.925
-you get stopped out at 0.925 * (1-.15) = $0.78625, and you're left with $78.62.
This is a realized loss of ~21.4% with a stop loss set to 15%. The larger your safety order threshold, the larger your real loss in comparison to your stop loss percentage, and vice versa.
Indicator plots show the calculated bases in white. The closest base below price is yellow. If that base is broken, it turns purple. Once a trade is entered, profit target is shown in silver and stop loss in red.
888 BOT #backtest█ 888 BOT #backtest (open source)
This is an Expert Advisor 'EA' or Automated trading script for ‘longs’ and ‘shorts’, which uses only a Take Profit or, in the worst case, a Stop Loss to close the trade.
It's a much improved version of the previous ‘Repanocha’. It doesn`t use 'Trailing Stop' or 'security()' functions (although using a security function doesn`t mean that the script repaints) and all signals are confirmed, therefore the script doesn`t repaint in alert mode and is accurate in backtest mode.
Apart from the previous indicators, some more and other functions have been added for Stop-Loss, re-entry and leverage.
It uses 8 indicators, (many of you already know what they are, but in case there is someone new), these are the following:
1. Jurik Moving Average
It's a moving average created by Mark Jurik for professionals which eliminates the 'lag' or delay of the signal. It's better than other moving averages like EMA , DEMA , AMA or T3.
There are two ways to decrease noise using JMA . Increasing the 'LENGTH' parameter will cause JMA to move more slowly and therefore reduce noise at the expense of adding 'lag'
The 'JMA LENGTH', 'PHASE' and 'POWER' parameters offer a way to select the optimal balance between 'lag' and over boost.
Green: Bullish , Red: Bearish .
2. Range filter
Created by Donovan Wall, its function is to filter or eliminate noise and to better determine the price trend in the short term.
First, a uniform average price range 'SAMPLING PERIOD' is calculated for the filter base and multiplied by a specific quantity 'RANGE MULTIPLIER'.
The filter is then calculated by adjusting price movements that do not exceed the specified range.
Finally, the target ranges are plotted to show the prices that will trigger the filter movement.
Green: Bullish , Red: Bearish .
3. Average Directional Index ( ADX Classic) and ( ADX Masanakamura)
It's an indicator designed by Welles Wilder to measure the strength and direction of the market trend. The price movement is strong when the ADX has a positive slope and is above a certain minimum level 'ADX THRESHOLD' and for a given period 'ADX LENGTH'.
The green color of the bars indicates that the trend is bullish and that the ADX is above the level established by the threshold.
The red color of the bars indicates that the trend is down and that the ADX is above the threshold level.
The orange color of the bars indicates that the price is not strong and will surely lateralize.
You can choose between the classic option and the one created by a certain 'Masanakamura'. The main difference between the two is that in the first it uses RMA () and in the second SMA () in its calculation.
4. Parabolic SAR
This indicator, also created by Welles Wilder, places points that help define a trend. The Parabolic SAR can follow the price above or below, the peculiarity that it offers is that when the price touches the indicator, it jumps to the other side of the price (if the Parabolic SAR was below the price it jumps up and vice versa) to a distance predetermined by the indicator. At this time the indicator continues to follow the price, reducing the distance with each candle until it is finally touched again by the price and the process starts again. This procedure explains the name of the indicator: the Parabolic SAR follows the price generating a characteristic parabolic shape, when the price touches it, stops and turns ( SAR is the acronym for 'stop and reverse'), giving rise to a new cycle. When the points are below the price, the trend is up, while the points above the price indicate a downward trend.
5. RSI with Volume
This indicator was created by LazyBear from the popular RSI .
The RSI is an oscillator-type indicator used in technical analysis and also created by Welles Wilder that shows the strength of the price by comparing individual movements up or down in successive closing prices.
LazyBear added a volume parameter that makes it more accurate to the market movement.
A good way to use RSI is by considering the 50 'RSI CENTER LINE' centerline. When the oscillator is above, the trend is bullish and when it is below, the trend is bearish .
6. Moving Average Convergence Divergence ( MACD ) and ( MAC-Z )
It was created by Gerald Appel. Subsequently, the histogram was added to anticipate the crossing of MA. Broadly speaking, we can say that the MACD is an oscillator consisting of two moving averages that rotate around the zero line. The MACD line is the difference between a short moving average 'MACD FAST MA LENGTH' and a long moving average 'MACD SLOW MA LENGTH'. It's an indicator that allows us to have a reference on the trend of the asset on which it is operating, thus generating market entry and exit signals.
We can talk about a bull market when the MACD histogram is above the zero line, along with the signal line, while we are talking about a bear market when the MACD histogram is below the zero line.
There is the option of using the MAC-Z indicator created by LazyBear, which according to its author is more effective, by using the parameter VWAP ( volume weighted average price ) 'Z-VWAP LENGTH' together with a standard deviation 'STDEV LENGTH' in its calculation.
7. Volume Condition
Volume indicates the number of participants in this war between bulls and bears, the more volume the more likely the price will move in favor of the trend. A low trading volume indicates a lower number of participants and interest in the instrument in question. Low volumes may reveal weakness behind a price movement.
With this condition, those signals whose volume is less than the volume SMA for a period 'SMA VOLUME LENGTH' multiplied by a factor 'VOLUME FACTOR' are filtered. In addition, it determines the leverage used, the more volume , the more participants, the more probability that the price will move in our favor, that is, we can use more leverage. The leverage in this script is determined by how many times the volume is above the SMA line.
The maximum leverage is 8.
8. Bollinger Bands
This indicator was created by John Bollinger and consists of three bands that are drawn superimposed on the price evolution graph.
The central band is a moving average, normally a simple moving average calculated with 20 periods is used. ('BB LENGTH' Number of periods of the moving average)
The upper band is calculated by adding the value of the simple moving average X times the standard deviation of the moving average. ('BB MULTIPLIER' Number of times the standard deviation of the moving average)
The lower band is calculated by subtracting the simple moving average X times the standard deviation of the moving average.
the band between the upper and lower bands contains, statistically, almost 90% of the possible price variations, which means that any movement of the price outside the bands has special relevance.
In practical terms, Bollinger bands behave as if they were an elastic band so that, if the price touches them, it has a high probability of bouncing.
Sometimes, after the entry order is filled, the price is returned to the opposite side. If price touch the Bollinger band in the same previous conditions, another order is filled in the same direction of the position to improve the average entry price, (% MINIMUM BETTER PRICE ': Minimum price for the re-entry to be executed and that is better than the price of the previous position in a given %) in this way we give the trade a chance that the Take Profit is executed before. The downside is that the position is doubled in size. 'ACTIVATE DIVIDE TP': Divide the size of the TP in half. More probability of the trade closing but less profit.
█ STOP LOSS and RISK MANAGEMENT.
A good risk management is what can make your equity go up or be liquidated.
The % risk is the percentage of our capital that we are willing to lose by operation. This is recommended to be between 1-5%.
% Risk: (% Stop Loss x % Equity per trade x Leverage) / 100
First the strategy is calculated with Stop Loss, then the risk per operation is determined and from there, the amount per operation is calculated and not vice versa.
In this script you can use a normal Stop Loss or one according to the ATR. Also activate the option to trigger it earlier if the risk percentage is reached. '% RISK ALLOWED'
'STOP LOSS CONFIRMED': The Stop Loss is only activated if the closing of the previous bar is in the loss limit condition. It's useful to prevent the SL from triggering when they do a ‘pump’ to sweep Stops and then return the price to the previous state.
█ BACKTEST
The objective of the Backtest is to evaluate the effectiveness of our strategy. A good Backtest is determined by some parameters such as:
- RECOVERY FACTOR: It consists of dividing the 'net profit' by the 'drawdown’. An excellent trading system has a recovery factor of 10 or more; that is, it generates 10 times more net profit than drawdown.
- PROFIT FACTOR: The ‘Profit Factor’ is another popular measure of system performance. It's as simple as dividing what win trades earn by what loser trades lose. If the strategy is profitable then by definition the 'Profit Factor' is going to be greater than 1. Strategies that are not profitable produce profit factors less than one. A good system has a profit factor of 2 or more. The good thing about the ‘Profit Factor’ is that it tells us what we are going to earn for each dollar we lose. A profit factor of 2.5 tells us that for every dollar we lose operating we will earn 2.5.
- SHARPE: (Return system - Return without risk) / Deviation of returns.
When the variations of gains and losses are very high, the deviation is very high and that leads to a very poor ‘Sharpe’ ratio. If the operations are very close to the average (little deviation) the result is a fairly high 'Sharpe' ratio. If a strategy has a 'Sharpe' ratio greater than 1 it is a good strategy. If it has a 'Sharpe' ratio greater than 2, it is excellent. If it has a ‘Sharpe’ ratio less than 1 then we don't know if it is good or bad, we have to look at other parameters.
- MATHEMATICAL EXPECTATION: (% winning trades X average profit) + (% losing trades X average loss).
To earn money with a Trading system, it is not necessary to win all the operations, what is really important is the final result of the operation. A Trading system has to have positive mathematical expectation as is the case with this script: ME = (0.87 x 30.74$) - (0.13 x 56.16$) = (26.74 - 7.30) = 19.44$ > 0
The game of roulette, for example, has negative mathematical expectation for the player, it can have positive winning streaks, but in the long term, if you continue playing you will end up losing, and casinos know this very well.
PARAMETERS
'BACKTEST DAYS': Number of days back of historical data for the calculation of the Backtest.
'ENTRY TYPE': For '% EQUITY' if you have $ 10,000 of capital and select 7.5%, for example, your entry would be $ 750 without leverage. If you select CONTRACTS for the 'BTCUSDT' pair, for example, it would be the amount in 'Bitcoins' and if you select 'CASH' it would be the amount in $ dollars.
'QUANTITY (LEVERAGE 1X)': The amount for an entry with X1 leverage according to the previous section.
'MAXIMUM LEVERAGE': It's the maximum allowed multiplier of the quantity entered in the previous section according to the volume condition.
The settings are for Bitcoin at Binance Futures (BTC: USDTPERP) in 15 minutes.
For other pairs and other timeframes, the settings have to be adjusted again. And within a month, the settings will be different because we all know the market and the trend are changing.
Fibonacci-Trading-Indikator_3Daily (weekly, monthly) profits with the Fibonacci trading indicator_3
Quotes move in Fibonacci ratios in liquid markets. With this indicator you receive information for daily trades or for position trades based on a week or on a monthly basis, in which area you should ideally enter the market and where the minimum achievable price target is. This price target is 61.8% of yesterday's trading range, or the trading range of the previous week, or the trading range of the previous month, depending on the time frame for which the indicator should calculate the minimum achievable high / low. This is also where you realize your profit.
For this calculation, the following entries must be made in the properties window of the indicator:
• Preselection uptrend / downtrend.
• Time frame (day, week, ...) of the price bar for the possible high / low to be determined.
• Trading range of the previous day, or the previous week, or the previous month.
• Current lowest low of the selected time frame when trading has started and prices are rising.
• Current highest high of the selected time frame when trading has started and prices are falling.
Important areas for trading are:
• The entry range 0% - 23.6% for long or short.
• The target price level 61.8%.
Choose a suitable time frame to detect the direction of movement while the quotes are still moving in the entry area. The camelback indicator can be of great help. Also test the resolution setting of the camelback indicator. With a resolution of 1 hour in the 6 or 12 minute chart, you get a perspective for the broader direction. Movement patterns of corrections or consolidations, if they last more than a day or a week, also give clues to the coming direction of movement for the trade. So look back to see what happened yesterday, a week ago, or a month ago. Pay attention to the market anatomy, find out how the market works, count the price bars in consolidations and trends.
After entering the values the indicator will show the Fibonacci expansion price levels for the possible high or low for the selected time frame. Buy / sell within the entry range between 0% and 23.6% as the market moves towards the last long / or short entry point. This is the course range up to the 23.6% course level. The 61.8% price level is the minimum expected price target. We assume that the current bar will reach at least 61.8% of the trading range of the previous day, week or month. Depending on the set time frame. You should therefore realize the profits you have made with 50% of the position when the prices have reached the 61.8% level. With a suitable trailing stop you can be stopped with the rest of the position, but do not risk more than 50% of the profits.
With the quarter or year preselection and the corresponding entries, the minimum expected quarterly high / quarterly low or annual high / annual low can be determined.
The Fibonacci price levels can be shown and hidden. In the chart click on the gear wheel for “Chart Settings”. In the “Scaling” menu, the price levels can be displayed with the preselection “Label for indicator names” and “Label for last indicator value”. Slide the chart to the right to find possible support and resistance at the price levels that could provide confirmation of the target.
In the event of input errors or missing entries for a time frame, the indicator is hidden.
Pay attention to your trade management to avoid losses.
The new Fibonacci Trading Indicator_3 has the following additions and changes:
Area code for the quarter time frame has been added.
The entry area received a 23.6% and a 50% subdivision. Two envelope lines above the 23.6% entry level in the case of an upward trend and below the 23.6% entry level in the case of a downtrend, with a width of 23.6% and 14.6% of the entry level, are intended to indicate that the closing price is higher the quotations have broken out of the entry-level area.
A volatility stop for upward and downward trends can be activated.
A factor is added to the fluctuation range of each price bar for the stop. Then a moving average is calculated with an adjustable period. The period setting should be set between 5 and 10. The result can be smoothed adjustable.
Presetting:
Periods = 10
Factor = 1.4
Smoothing = 7
With the assumption that the market entry in an upward trend occurs when the prices break out above a bar high, the result of the stop calculation is subtracted from the bar high. In the case of a downward trend, the result of the stop calculation is added to the price bar low.
When entering the market, set the factor to 2.4. If inside bars follow a trend movement, the stop should be brought closer. Try the factor setting 0.4 or less. The smallest adjustable factor is 0.1.
For the entry into an established trend, as described in an idea contribution by me, there are two switchable moving averages. The application for the (MA_H) takes place on high and for the (MA_L) adjustable on high, low, shot, h + 1/2 etc. Period and offset (shift) are adjustable. With this idea, the entry into the market occurs between a 618% correction (the Fibonacci entry point) and the DEP (average entry point). The DEP in this case is the MA_H with period = 4 and an offset = 1 in the case of a downward trend, or the MA_L with the same setting and application to lows in an upward trend.
Also test the MA_L in trends with the settings (period, offset) 3.3 or 5, 3 or 7.5 and applying it to closing prices for a close encompassing of the highs / lows.
Tägliche (wöchentliche, monatliche) Gewinne mit dem Fibonacci-Trading Indikator_3
Kursnotierungen bewegen sich in liquiden Märkten in Fibonacci-Verhältnisse. Mit diesem Indikator erhalten Sie für Tagesgeschäfte, oder für Positionstrades auf Basis einer Woche, oder auf Basis eines Monats Informationen, in welchem Bereich Sie idealerweise in den Markt einsteigen sollten und wo das mindeste erreichbare Kursziel liegt. Dieses Kursziel liegt bei 61,8% der gestrigen Handelspanne, oder der Handelspanne der Vorwoche, oder der Handelspanne des Vormonats, also abhängig davon für welchen Zeitrahmen der Indikator das mindeste erreichbare Hoch/Tief berechnen soll. Dort realisieren Sie auch Ihren Gewinn.
Für diese Berechnung sind folgende Eingaben im Eigenschaftenfenster des Indikators einzustellen:
• Vorwahl Aufwärtstrend/ Abwärtstrend.
• Zeitrahmen (Tag, Woche, …) des Kursbalkens für das zu ermittelnde mögliche Hoch/ Tief.
• Handelspanne des vorherigen Tages, oder der vorherigen Woche, oder des vorherigen Monats.
• Aktuell tiefstes Tief des vorgewählten Zeitrahmens, wenn der Handel begonnen hat und die Notierungen steigen.
• Aktuell höchstes Hoch des vorgewählten Zeitrahmens, wenn der Handel begonnen hat und die Notierungen fallen.
Wichtige Bereiche für das Trading sind:
• Der Einstiegsbereich 0% - 23,6% für long oder short.
• Der Kursziellevel 61,8%.
Wählen Sie für die Erkennung der Bewegungsrichtung einen geeigneten Zeitrahmen, während sich die Notierungen noch im Einstiegsbereich bewegen. Der Camelback-Indikator kann eine gute Hilfe sein. Testen Sie auch die Auflösung-Einstellung des Camelback-Indikators. Mit der Auflösung 1 Stunde Im 6- oder 12 Minuten-Chart erhalten Sie einen Blickwinkel für die große Richtung. Auch Bewegungsmuster von Korrekturen oder Konsolidierungen, wenn sie mehr als einen Tag oder eine Woche andauern geben Hinweise auf die kommende Bewegungsrichtung für den Trade. Schauen Sie also zurück um zu prüfen, was sich gestern, vor einer Woche oder vor einem Monat abgespielt hat. Achten sie auf die Marktanatomie, finden Sie heraus wie der Markt funktioniert, zählen Sie Kursstäbe in Konsolidierungen und Trends.
Nach Eingabe der Werte zeigt der Indikator die Fibonacci-Ausweitungskurslevels für das mögliche Hoch oder Tief für den ausgewählten Zeitrahmen. Kaufen/ verkaufen Sie innerhalb des Einstiegsbereichs zwischen 0% und 23,6%, während sich der Markt in Richtung des letzten long-/ oder short-Einstiegspunktes bewegt. Das ist der Kursbereich bis zum 23,6%- Kurslevel. Der 61,8%-Kurslevel ist das mindeste erwartbare Kursziel. Wir gehen davon aus, dass der aktuelle Kursbalken mindestens 61,8% der Handelsspanne des vorherigen Tages, der vorherigen Woche oder des vorherigen Monats erreichen wird. Abhängig vom eingestellten Zeitrahmen. Realisieren Sie deshalb die angelaufenen Gewinne mit 50% der Position, wenn die Notierungen den 61,8% - Level erreicht haben. Mit einem geeigneten Trailing-Stopp lassen Sie sich mit der restlichen Position ausstoppen, riskieren Sie dafür aber nicht mehr als 50 % der angelaufenen Gewinne.
Mit der Vorwahl Quartal oder Jahr und den entsprechenden Eingaben kann auch das mindeste erwartbare Quartalshoch/ Quartalstief bzw. Jahreshoch/ Jahrestief ermittelt werden.
Die Fibonacci-Kurslevels lassen sich ein- und ausblenden. Klicken Sie im Chart auf das Zahnrad für „Chart Einstellungen“. Im Menü „Skalierungen“ kann mit der Vorwahl „Label für Indikatornahmen“ und „Label für letzten Indikatorwert“ die Kurslevels angezeigt werden. Schieben Sie den Chart nach rechts um mögliche Unterstützungen und Widerstände an den Kurslevels zu finden, die Bestätigung für das Ziel geben könnten.
Bei Eingabefehlern oder fehlenden Eingaben zu einem Zeitrahmen wird der Indikator ausgeblendet.
Achten Sie zur Vermeidung von Verlusten auf ihr Handelsmanagement.
Der neue Fibonacci-Trading-Indikator_3 besitz folgende Zusätze und Änderungen:
Vorwahl für den Zeitrahmen Quartal wurde hinzugefügt.
Der Einstiegsbereich erhielt eine 23,6% und eine 50% Unterteilung. Zwei Umschlagslinien über dem 23,6%-Einstiegslevel bei einem Aufwärtstrend, bzw. unter dem 23,6%-Einstiegslevel bei einem Abwärtstrend, mit der Breite 23,6% und 14,6% vom Einstiegsbereich, sollen bei höherem Schlusskurs signalisieren, dass die Notierungen aus dem Einstiegsbereich ausgebrochen sind.
Ein Volatilitätsstopp jeweils für Aufwärts- und Abwärtstrend kann zugeschaltet werden.
Für den Stopp wird die Schwankungsbreite jedes Kursbalkens wird mit einem Faktor beaufschlagt. Danach erfolgt die Berechnung eines gleitenden Durchschnitts mit einstellbarer Periode. Die Periodeneinstellung sollte zwischen 5 und 10 eingestellt werden. Das Ergebnis kann einstellbar geglättet werden.
Voreinstellung:
Perioden = 10
Faktor = 1,4
Glättung = 7
Mit der Annahme, dass der Markteinstieg in einem Aufwärtstrend bei Ausbruch der Notierungen über ein Kursbalkenhoch erfolgt, wird das Ergebnis der Stoppberechnung vom Kursbalkenhoch subtrahiert. Bei einem Abwärtstrend wird das Ergebnis der Stoppberechnung zum Kursbalkentief addiert.
Stellen Sie bei Markteintritt den Faktor auf 2,4. Folgen nach einer Trendbewegung Innenstäbe sollte der Stopp näher herangeführt werden. Probieren Sie die Faktoreinstellung 0,4 oder kleiner. Der kleinste einstellbare Faktor ist 0,1.
Für den Einstieg in einen etablierten Trend, wie in einem Ideenbeitrag von mir beschrieben, gibt es zwei zuschaltbare gleitende Durchschnitte. Die Anwendung für den (MA_H) erfolgt auf Hochs und für den (MA_L) einstellbar auf Hoch, Tief, Schuss, h+l/2 usw.. Periode und Offset (Verschiebung) sind einstellbar. Bei dieser Idee erfolgt der Einstieg in den Markt zwischen einer 618%-Korrektur (dem Fibonacci-Einstiegspunkt) und dem DEP (Durchschnittlicher Einstiegspunkt). Der DEP ist in diesem Fall der MA_H mit Periode = 4 und einem Offset = 1, bei einem Abwärtstrend, oder der MA_L mit identischer Einstellung und Anwendung auf Tiefs in einem Aufwärtstrend.
Testen Sie den MA_L auch in Trends mit den Einstellungen (Periode, Offset) 3,3 oder 5, 3 oder 7,5 und Anwendung auf Schlusskurse für eine enge Umfassung der Hochs/ Tiefs.
Grid System With Fake MartingaleThe proposed strategy is based on a grid system with a money management that tries to replicate the effect of a martingale without having to double your position size after each loss, hence the name "fake martingale". Note that a balance using this strategy is still subject to exponential decay, the risk is not minimized, as such, it would be dangerous to use this strategy.
For more information on the martingale and grid systems see:
Strategy Settings
Point determines the "grid" size and should be adjusted accordingly to the scale of the security you are applying the strategy to. Higher value would require larger price movements in order to trigger a trade, generating fewer trades as a result.
The order size determines the number of contracts/shares to purchase.
The martingale multiplier determines the factor by which the position size is multiplied after a loss, using values higher to 2 will "squarify" your balance, while a value of 1 would use a constant position sizing.
Finally, the anti-martingale parameter determines whether the strategy uses a reverse martingale or not, if set to true then the position size is multiplied after each win.
How It Works
Let's illustrate how we replicate a martingale without doubling our exposure with a simple casino example. Imagine you are playing roulette, and that you are betting on colors (black/red), your payout is 1 to 1, in the case you win, you will have your initial stake back plus a profit equal to your initial stake.
If your strategy is to recover any previous losses, you can double your stake each time you lose, once you win you will get back the previous losses plus a profit equal to your original stake, this is the martingale system. So how can we win back previous losses without having to double our stake? We could do that by doubling the payout ratio after a loss, so after a loss, we must use a payout ratio of 2:1, if we lose once again we must use a payout of 4:1...etc, our payout ratio would be subject to exponential growth instead of our stake.
Of course, the payout ratio is fixed with casino games, but in trading, we can manipulate the position of our take profit in order to replicate such effect, this is what this strategy is doing. So after a loss, we place our take profit such that a win recover our losses back plus generate a profit.
Advantages
The advantage of this approach is that unlike the martingale we don't double our position size, which instead can remain constant, this is a huge advantage as a martingale will require a significant capital in order to tank a series of losses.
Disadvantages
The main disadvantage of this method is that the price might never reach our take profit after a long losing streak, our balance would remain in the red and we couldn't do anything about it except reset the strategy.
Frictional costs are still a disadvantage, as such, we would need to place our take profits in order to account for them, while this is still better than purchasing additional shares, it minimizes the chances of the price reaching the take profit.
Conclusions
An alternative money management system replicating the effect of a martingale as been presented, we can see that such a system is far from being perfect, and it would be foolish to use it, however, it stills offer a convenient alternative to less aggressive progressive position sizing systems.
I have been receiving some messages from users criticizing me for exposing the martingale money management system, and I understand why but I can't agree, talking about it allow me to warn users against it, the grid-martingale methodology is will create more harm than anything else, the reward is only one side of the story and should always be compared against the risk, so always take a look at all the statics in a backtest.
Thanks for reading!
Shout-Out
This post was made possible thanks to my patrons:
@Happymono, @AmariMars, @kkhaial, @Nugehe, @LucF, @Nosmok, @iflostio, @DankBeans, @ecletv, @Neverstorm, @alex.crown.jr, @uk503, @xkingshotss, @vsov, @jbelka, @yatrader2, @hughza, @ganh
Trading Psychology - Fear & Greed Index by DGTPsychology of a Market Cycle - Where are we in the cycle?
Before proceeding with the question "where", let's first have a quick look at "What is market psychology?"
Market psychology is the idea that the movements of a market reflect the emotional state of its participants. It is one of the main topics of behavioral economics - an interdisciplinary field that investigates the various factors that precede economic decisions. Many believe that emotions are the main driving force behind the shifts of financial markets and that the overall fluctuating investor sentiment is what creates the so-called psychological market cycles - which is also dynamic.
Stages of Investor Emotions:
* Optimism – A positive outlook encourages us about the future, leading us to buy stocks.
* Excitement – Having seen some of our initial ideas work, we begin considering what our market success could allow us to accomplish.
* Thrill – At this point we investors cannot believe our success and begin to comment on how smart we are.
* Euphoria – This marks the point of maximum financial risk. Having seen every decision result in quick, easy profits, we begin to ignore risk and expect every trade to become profitable.
* Anxiety – For the first time the market moves against us. Having never stared at unrealized losses, we tell ourselves we are long-term investors and that all our ideas will eventually work.
* Denial – When markets have not rebounded, yet we do not know how to respond, we begin denying either that we made poor choices or that things will not improve shortly.
* Fear – The market realities become confusing. We believe the stocks we own will never move in our favor.
* Desperation – Not knowing how to act, we grasp at any idea that will allow us to get back to breakeven.
* Panic – Having exhausted all ideas, we are at a loss for what to do next.
* Capitulation – Deciding our portfolio will never increase again, we sell all our stocks to avoid any future losses.
* Despondency – After exiting the markets we do not want to buy stocks ever again. This often marks the moment of greatest financial opportunity.
* Depression – Not knowing how we could be so foolish, we are left trying to understand our actions.
* Hope – Eventually we return to the realization that markets move in cycles, and we begin looking for our next opportunity.
* Relief – Having bought a stock that turned profitable, we renew our faith that there is a future in investing.
It's hard to predict with certainty where we exactly are in the market cycle, we can only make an educated guess as to the rough stage based on data available. And here comes the study "Trading Psychology - Fear & Greed Index"
Factors taken into account in this study include:
1-Price Momentum : Price Divergence/Convergence versus its Slow Moving Average
2-Strenght : Rate of Return (RoR) also called Return on Investment (ROI) is a performance measure used to evaluate the efficiency of an investment, net gain or loss of an investment over a specified time period, the rate of change in price movement over a period of time to help investors determine the strength
3-Money Flow : Chaikin Money Flow (CMF) is a technical analysis indicator used to measure Money Flow Volume over a set period of time. CMF can be used as a way to further quantify changes in buying and selling pressure and can help to anticipate future changes and therefore trading opportunities. CMF calculations is based on Accumulation/Distribution
4-Market Volatility : CBOE Volatility Index (VIX), the Volatility Index, or VIX, is a real-time market index that represents the market's expectation of 30-day forward-looking volatility. Derived from the price inputs of the S&P 500 index options, it provides a measure of market risk and investors' sentiments. It is also known by other names like "Fear Gauge" or "Fear Index." Investors, research analysts and portfolio managers look to VIX values as a way to measure market risk, fear and stress before they take investment decisions
5-Safe Haven Demand : in this study GOLD demand is assumed
What to look for :
*Fear and Greed Index as explained above,
*Divergencies
Tool tip of the label displayed provides details of references
Conclusion:
As investors, we always get caught up in the day to day price movements, and lose sight of the bigger picture. The biggest crashes happen not when investors are cautious and fearful, it's when they're euphoric and expecting financial instruments to continue going higher. So as we continue investing, don’t forget to stop and ask yourself, where in the chart do you think we are right now? The Market Psychology Cycle shines light on how emotions evolve, fear and greed index can come in handy, provided that it is not the only tool used to make investment decisions. It is easy to look back at market cycles and recognize how the overall psychology changed. Analyzing previous data makes it obvious what actions and decisions would have been the most profitable. However, it is much harder to understand how the market is changing as it goes - and even harder to predict what comes next. Many investors use technical analysis (TA) to attempt to anticipate where the market is likely to go. Investors are advised to keep tabs on fear for potential buying the dips opportunities and view periods of greed as a potential indicator that financial instruments might be overvalued.
Warren Buffett's quote, buy when others are fearful, and sell when others are greedy
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 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
Underworld Hunter Backtesting AlgorhitmThis strategy is built to prove the profitability of my Underworld Hunter indicator . It tests two different strategies. I won't be going into the calculation again since it is part of the original script. I just made a few adjustments.
First one is clearly visual. It plots slimmer twin-coloured lines now and has a different colour for every extreme level. Second is less obvious - I switched Relative Strength Index for Commodity Channel Index.
Extreme levels are as follows: green 100 -► 120, yellow 120 -► 140, orange 140 -► 160, red 160 -► 180 and purple above 180, I will have a special separate algorithm for testing optimal CCI levels someday, in this script, these values are only meant to help you with manual operations and do not influence results of the strategy in any way.
#Trending strategy
The trending strategy opens a position whenever the price leaves the bands and holds it until two consecutive bars are closed within the bands. The picture shows one winning position that hasn't yet been resulted. It also shows a few fakeouts. For this strategy, you want to keep the length below 110, the deviation should be below 2 and you probably want to play lower timeframes.
#Within the bands
The second strategy is pretty much the opposite. It opens a position when the price reaches outer bands and holds it until two consecutive bars are closed within the bands and current bar closes below previous bars low in case of long. It is working on hourly timeframes and you need higher length and deviation to succeed. The picture shows a few positions on EURUSD. Each of them is profitable but would be much higher if you closed it manually when it was time. You need to enable this strategy, which automatically disables the other one.
When using my script, you need to bear in mind that the first strategy doesn't detect optimal levels to close the price. A trend is often followed by a less volatile and boring correction which causes bands to shrink and lower your profits if you don't close manually as it will take longer till bands are reached.
On the other hand, second script literally has no stop-loss. As long as the price is outside the range, it will never close which will cause major drawdowns, unless you control the trade manually. CCI is here to help you with both.
I also recommend combining this with Market Profile (on TW, there is only Volume Profile, which can be used in a similar way) and trading day theory (trending with multiple distributions, trending day, normal day, a variation on a normal day, non-trending day or neutral day). Always keep in mind that it is up to traders to be profitable, indicators can support a good trader, but they will not fix a bad one.
Relative Normalized VolatilityThere are plenty of indicators that aim to measure the volatility (degree of variation) in the price of an instrument, the most well known being the average true range and the rolling standard deviation. Volatility indicators form the key components of most bands and trailing stops indicators, but can also be used to normalize oscillators, they are therefore extremely versatile.
Today proposed indicator aim to compare the estimated volatility of two instruments in order to provide various informations to the user, especially about risk and profitability.
CALCULATION
The relative normalized volatility (RNV) indicator is the ratio between the moving average of the absolute normalized price changes value of two securities, that is:
SMA(|Δ(a)/σ(a)|)
―――――――――――
SMA(|Δ(b)/σ(b)|)
Where a and b are two different securities (note that notation "Δ(x)" refer to the 1st difference of x, and the "||" notation is used to indicate absolute value, for example "|x|" means absolute value of x) .
INTERPRETATION
The indicator aim tell us which security is more volatile between a and b , with a value of the indicator greater than 1 indicating that a is on average more volatile than b over the last length period, while a value lower than 1 indicating that the security b is more on average volatile than a .
The indicator use the current symbol as a , while the second security b must be defined in the setting window (by default the S&P500). Risk and profitability are closely related to volatility, as larger price variations could potentially mean larger losses (but also larger gains), therefore a value of the indicator greater than 1 can indicate that it could be more risked (and profitable) to trade security a .
RNV using AMD (top) volatility against Intel (bottom) volatility.
RNV using EURUSD (top) volatility against USDJPY (bottom) volatility.
Larger values of length will make the indicator fluctuate less often around 1. You can also plot the logarithm of the ratio instead in order to have the indicator centered around 0, it will also help make values originally below 1 have more importance in the scale.
POSSIBLE ERRORS
If you compare different types of markets the indicator might return NaN values, this is because one market might be closed, for example if you compare AMD against BTCUSD with the indicator you will get NaN values. If you really need to compare two markets then increase your time frame, else use an histogram or area plot in order to have a cleaner plot.
CONCLUSION
An original indicator comparing the volatility between two securities has been presented. The choice of posting a volatility indicator has been made by my twitter followers, so if you want to decide which type of indicator i should do next make sure to check my twitter to see if there are polls available (i should do one after every posted indicator).
Patient Trendfollower (7)(alpha)Patient Trendfollower consists of 21 and 55 EMA, Commodity Channel Index and Supertrend indicator. It confirms a trend and gives you a signal on a pullback. Original creation worked on 1h EURUSD chart.
►Long setup:
• 21 EMA is above 55 EMA, which is above the Supertrend indicator.
• Commodity Channel Index is an oscillator, which prints into the chart if extreme levels are reached. Green is for a level above 100 or below -100, red is above 140 or below -140 and black is above 180 or below -180.
• If 21 EMA > 55EMA > Supertrend and an oversold signal appear, you can buy into the trend.
• When backtesting on 1h EURUSD, profit target 400 pips worked best with a stop-loss below Supertrend's bottom and the size of your spread.
• A picture shows two valid entries.
: This part still malfunctions and shows red dots over some green ones. It is important to disable red ones in the settings to see green ones.
Some more long signals:
Some short signals:
►Backtesting data with default settings and trading only green CCI signals with mentioned risk management strategy:
• 212 closed trades
• 58.96% profitable with average win trade 348 USD and average loss trade 263 USD when only green signals are followed.
• Profit factor 1.903, Sharpee 0.792
• 20 bars is average for all trades, short trades were 18 bars long on average.
With given data, you can see the strategy is profitable by itself. However, original risk management settings do work only on 1h charts of EURUSD and would need to be adjusted for other instruments based on average volatility.
Even though the profitability is low, you can increase your odds by a great margin, if you properly use price action (impulsive and corrective moves, patterns, bar analysis), if you trade when major exchanges are open, you may also use wave analysis such as Elliot Waves or Market Profiles to predict whether the next day might be a trending day. My backtesting program didn't consider these ideas.
Unfortunately, I won't be making backtesting strategy public with it anytime soon, because it still has some parts that do not work. I am ok with that since I understand the code and know what does malfunction and how. Then, there are parts which I am not sure how to fix yet. This is why the indicator is still considered alpha.
In the future when a strategy is published, you will also be able to set your own overbought/oversold values without entering the code itself and probably some other features. But I am not in a hurry for that. You can give me feedback on UX and try to figure out the best setups for other symbols, it might help to improve the automatic testing script when I know what I should achieve. My main point is to make this public for friends who can already be using it on EURUSD at least.
Close doesn't always have to be 400 pips, you might want to close on a logical level such as strong resistance or a trendline too.
Thanks to:
• @everget for providing Supertrend solution.
• Satik FX who hand-tested the system by hand and reported results in this article . He is my main inspiration for creating the complete indicator as one because I want to be able to show and hide it with a single click. My future scripts will also work as a whole strategy each by itself.
• The number in the script's name comes from Satik's numbering. A mentioned article was his seventh shared strategy.
Efficient PriceTrading The Movements That Matters
Inspired by the Price Volume Trend indicator the Efficient Price aim to create a better version of the price containing only the information a trend trader must need.
Calculation
This indicator use the Efficiency Ratio as a smoothing constant, it is calculated as follow :
ER = abs(change(close,length))/sum(abs(change(close)),length)
The goal of the Efficiency Ratio is to show if the market is trending or ranging.If ER is high then the market is considered to be trending, if ER is low then the market is considered to be ranging.
Then the Efficient Price is calculated :
EP = cum(change(close)*ER)
When the price is trending, the indicator will show movements of the price with unchanged volatility, but if the price is not trending then the indicator will flatten those movements.Think of this indicator as both a filter and a compressor and the Efficient Price as some kind of threshold.
The Efficient Price As Input For Indicators/Strategies
If the indicator show the movement of the trending price, it can be interesting to use it as input in order to reduce the number of false signals in a strategy.
We will test 2 MACD strategy provided by tradingview, one using the closing price (In Red) and one with the efficient price (In White) as input
with both the following parameters :
fastLength = 50
slowlength = 200
MACDLength = 20
length = 50
Where length is the parameter of the Efficient Price.A spread of 2 pips is used.
Without Efficient Price : 26.88% of profitability, 69 pips of profit.
With Efficient Price : 38.46% of profitability, 336 pips of profit.
The difference of profitability is of 11.58%, the strategy with the Efficient Price made few trades and its equity have a lower variance than the equity of the MACD strategy using closing price.
Smoothed Version
It is possible to smooth the indicator output by using the following code :
EP = cum(change(close,length)*ER)
Hope you enjoy
For any questions/demands feel free to pm me, i would be happy to help you
Ultra Scalper Pro | ZLSMA + Chandelier Exit# Ultra Scalper Pro | ZLSMA + Chandelier Exit
## 📌 Overview
**Ultra Scalper Pro** is an all-in-one scalping indicator that combines the power of **Zero Lag LSMA (ZLSMA)** and **Chandelier Exit** with multiple confirmation filters. Designed for traders who want precise entry signals with clear TP/SL levels, this indicator works on any asset and any timeframe—though it shines brightest on lower timeframes (1m-15m) for scalping.
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## 🎯 Key Features
### 🔹 Core Indicators
| Indicator | Purpose |
|-----------|---------|
| **ZLSMA (Zero Lag LSMA)** | Minimizes lag in trend detection using double-smoothed Least Squares Moving Average |
| **Chandelier Exit** | Dynamic ATR-based trailing stop that identifies trend reversals |
### 🔹 Confirmation Filters (All Toggleable)
- **RSI Filter** — Avoid overbought/oversold entries
- **Volume Filter** — Ensure sufficient market participation
- **EMA Crossover** — Confirm short-term trend direction
- **SuperTrend** — Additional trend confirmation
- **MACD** — Momentum validation
- **Stochastic** — Short-term momentum filter
- **Session Filter** — Trade only during preferred market sessions (Asia/Europe/US)
### 🔹 TP/SL System
Choose from **4 different modes**:
1. **ATR Based** — Dynamic levels based on market volatility
2. **Fixed %** — Set your own percentage targets
3. **R:R Ratio** — Risk-to-reward based targets
4. **Chandelier Based** — Use Chandelier Exit levels for SL
Each mode provides **3 Take Profit levels (TP1, TP2, TP3)** and a **Stop Loss** level, all visualized directly on your chart.
---
## 📊 How It Works
### Entry Logic
The indicator generates a **LONG signal** when:
- Price crosses above ZLSMA (or is above ZLSMA)
- Chandelier Exit flips to bullish (or is already bullish)
- All enabled confirmation filters align bullish
The indicator generates a **SHORT signal** when:
- Price crosses below ZLSMA (or is below ZLSMA)
- Chandelier Exit flips to bearish (or is already bearish)
- All enabled confirmation filters align bearish
### Signal Strength
- **Strong Signal** (Large Triangle) — Both ZLSMA crossover AND Chandelier Exit flip occur simultaneously with high volume
- **Normal Signal** (Small Triangle) — Standard entry conditions met
---
## ⚙️ Settings Guide
### General Settings
| Setting | Description |
|---------|-------------|
| Show Entry Signals | Display buy/sell triangles on chart |
| Show Labels | Display TP/SL price labels |
| Show Background Color | Highlight chart background based on position/trend |
| Enable Long/Short Signals | Toggle which direction to trade |
### ZLSMA Settings
| Setting | Default | Description |
|---------|---------|-------------|
| ZLSMA Length | 32 | Lookback period (lower = more responsive, higher = smoother) |
| ZLSMA Offset | 0 | Shift the line left/right |
### Chandelier Exit Settings
| Setting | Default | Description |
|---------|---------|-------------|
| ATR Period | 22 | Period for ATR calculation |
| ATR Multiplier | 3.0 | Distance from high/low (higher = wider stops) |
### Filter Settings
Each filter can be **enabled/disabled** independently. When disabled, that filter is ignored in the entry logic.
**Recommended for Scalping (5m):**
- ✅ ZLSMA: ON (Length: 32)
- ✅ Chandelier Exit: ON (ATR: 22, Mult: 3.0)
- ✅ RSI: ON (Period: 14)
- ✅ Volume: ON (Period: 20)
- ✅ EMA: ON (Fast: 9, Slow: 21)
- ⬜ SuperTrend: OFF (optional)
- ⬜ MACD: OFF (optional)
- ⬜ Stochastic: OFF (optional)
### TP/SL Settings
| Mode | Best For |
|------|----------|
| ATR Based | Volatile markets, adapts to conditions |
| Fixed % | Consistent risk management |
| R:R Ratio | Traders focused on risk-reward |
| Chandelier Based | Trend-following strategies |
---
## 📈 How to Use
### Step 1: Add to Chart
Add the indicator to your chart. It works on any symbol (Crypto, Forex, Stocks, Futures).
### Step 2: Configure Filters
Enable/disable filters based on your trading style:
- **Conservative**: Enable all filters for fewer but higher-quality signals
- **Aggressive**: Use only ZLSMA + Chandelier for more frequent signals
### Step 3: Set TP/SL Mode
Choose your preferred TP/SL calculation method based on your risk management style.
### Step 4: Watch for Signals
- 🟢 **Green Triangle (Below Bar)** = Long Entry
- 🔴 **Red Triangle (Above Bar)** = Short Entry
- Larger triangles = Stronger signals
### Step 5: Manage Your Trade
- Use the displayed TP1, TP2, TP3 levels for partial profit-taking
- Use the SL level for your stop loss
- Monitor the Info Table for real-time status
---
## 📋 Info Table Explained
The indicator displays a real-time information table showing:
| Field | Description |
|-------|-------------|
| ZLSMA | Current ZLSMA trend direction |
| Chandelier | Current Chandelier Exit direction |
| RSI | Current RSI value and status |
| Volume | Whether volume is above/below average |
| EMA Cross | Fast EMA vs Slow EMA relationship |
| SuperTrend | Current SuperTrend direction |
| MACD | MACD line vs Signal line |
| Stochastic | Stochastic K vs D relationship |
| ATR | Current ATR value |
| Position | Current tracked position (if any) |
| Entry | Entry price of current position |
| P&L | Unrealized profit/loss percentage |
---
## 🔔 Alerts
The indicator includes pre-configured alerts:
| Alert | Trigger |
|-------|---------|
| Long Signal | Any long entry signal |
| Short Signal | Any short entry signal |
| Strong Long | High-confidence long signal |
| Strong Short | High-confidence short signal |
| CE Buy Signal | Chandelier Exit flips bullish |
| CE Sell Signal | Chandelier Exit flips bearish |
| ZLSMA Bullish Cross | Price crosses above ZLSMA |
| ZLSMA Bearish Cross | Price crosses below ZLSMA |
| Any Entry Signal | Either long or short signal |
| Any Strong Signal | Either strong long or short |
**To set up alerts:**
1. Right-click on the chart
2. Select "Add Alert"
3. Choose "Ultra Scalper Pro" as the condition
4. Select your preferred alert type
---
## 💡 Tips for Best Results
### Timeframe Recommendations
| Timeframe | Style | Suggested Settings |
|-----------|-------|-------------------|
| 1m - 5m | Aggressive Scalping | ZLSMA: 20-32, CE ATR: 14-22 |
| 15m - 1H | Moderate Scalping | ZLSMA: 32-50, CE ATR: 22-30 |
| 4H - 1D | Swing Trading | ZLSMA: 50-100, CE ATR: 30-50 |
### Filter Combinations
- **High Win Rate**: Enable RSI + Volume + EMA filters
- **More Signals**: Disable RSI and Stochastic filters
- **Trend Following**: Enable SuperTrend + MACD filters
### Risk Management
- Always use the SL level provided
- Consider taking partial profits at TP1 and TP2
- Let remaining position run to TP3 or use trailing stop
---
## ⚠️ Disclaimer
This indicator is a tool to assist your trading decisions, not a guarantee of profits. Always:
- Use proper risk management
- Never risk more than you can afford to lose
- Backtest on your preferred asset before live trading
- Combine with your own analysis
Past performance does not guarantee future results. Trading involves substantial risk of loss.
---
## 📝 Changelog
**v1.0** (Initial Release)
- ZLSMA + Chandelier Exit core system
- 6 confirmation filters
- 4 TP/SL modes
- Real-time info table
- Session filter
- Comprehensive alert system
---
## 🙏 Credits
- ZLSMA concept based on Zero Lag Moving Average principles
- Chandelier Exit originally developed by Charles Le Beau
---
**If you find this indicator helpful, please leave a like and follow for future updates!**
*Happy Trading! 🚀*
Multi-Indicator Scoring System# Multi-Indicator Scoring System
## Overview
This indicator combines five technical analysis tools (RSI, MACD, EMA trends, and Volume) into a single unified scoring system that generates clear BUY and SELL signals. Instead of analyzing multiple indicators separately and dealing with conflicting signals, this script calculates one comprehensive 0-100% score that shows current market strength at a glance.
## Purpose and Originality
**Problem it solves:**
Traders using multiple indicators individually often face contradictory signals. For example, RSI might show oversold conditions while MACD indicates bearish momentum, or price is above EMA but volume is weak. This creates confusion and leads to poor trading decisions or missed opportunities.
**Solution:**
This script uses a weighted scoring algorithm that only generates signals when multiple technical components mathematically agree. Each indicator contributes weighted points based on its reliability in crypto markets, and the combined score filters out noise by requiring multi-indicator confirmation before triggering a signal.
**What makes it original:**
Unlike simple indicator overlays that just display multiple tools side-by-side, this script:
- Uses a mathematically weighted scoring system where each component has justified importance
- Requires conditional alignment—signals only appear when components agree, not just individual crossovers
- Normalizes complex multi-indicator data into one intuitive percentage
- Includes built-in volume confirmation to filter low-conviction setups
This approach mirrors professional algorithmic trading systems that use multi-factor quantitative models.
## How Components Work Together
The script analyzes five technical components and assigns weighted points to each:
### 1. RSI (Relative Strength Index) - Weight: 25 points
- **Period:** 14
- **Function:** Identifies overbought and oversold conditions
- **Scoring logic:**
- RSI < 30 (oversold) → +25 points (bullish reversal signal)
- RSI > 70 (overbought) → -25 points (bearish reversal signal)
- RSI between 30-70 → 0 points (neutral)
- **Why 25 points:** RSI is highly reliable for detecting potential reversal zones in cryptocurrency markets
### 2. MACD (Moving Average Convergence Divergence) - Weight: 25 points
- **Parameters:** Fast=12, Slow=26, Signal=9
- **Function:** Detects momentum shifts and trend changes
- **Scoring logic:**
- MACD line > Signal line → +25 points (bullish momentum)
- MACD line < Signal line → -25 points (bearish momentum)
- **Why 25 points:** MACD is the gold standard for momentum confirmation across timeframes
### 3. EMA Short-Term Trend (21 vs 50) - Weight: 25 points
- **Function:** Confirms immediate trend direction
- **Calculation:** Compares EMA 21 to EMA 50, plus price position relative to EMA 21
- **Scoring logic:**
- EMA 21 > EMA 50 AND Price > EMA 21 → +25 points (strong uptrend)
- EMA 21 < EMA 50 AND Price < EMA 21 → -25 points (strong downtrend)
- Mixed conditions → 0 points (no clear trend)
- **Why 25 points:** Short-term trend alignment is critical for accurate entry timing
### 4. EMA Long-Term Context (200) - Weight: 15 points
- **Function:** Validates overall market structure
- **Calculation:** Price position relative to 200-period EMA
- **Scoring logic:**
- Price > EMA 200 → +15 points (bull market context)
- Price < EMA 200 → -15 points (bear market context)
- **Why 15 points:** Lower weight because long-term trend changes more slowly
### 5. Volume Confirmation - Weight: 10 points (Bonus)
- **Function:** Confirms genuine market interest versus noise
- **Calculation:** Current volume compared to 20-period SMA
- **Scoring logic:**
- Volume > 1.5× average → +10 bonus points
- Volume ≤ 1.5× average → 0 bonus points
- **Why 10 points:** Volume adds conviction but shouldn't override technical setup
### Score Aggregation Formula
**Why these thresholds?**
Backtesting on BTC/ETH showed optimal risk/reward at 65/35 levels. Lower thresholds (50%) produce too many false signals, while higher thresholds (80%) miss opportunities. The 65/35 balance provides good sensitivity with acceptable accuracy.
## How to Use This Indicator
### Visual Components
**On Chart:**
- **Green triangle (▲) below candle** = BUY signal (score crossed above 65%)
- **Red triangle (▼) above candle** = SELL signal (score crossed below 35%)
- Clean display with no background colors or extra lines
**Dashboard Table (top-right corner):**
- **Header:** "CRYPTO SIGNAL"
- **SCORE:** Current percentage (0-100%)
- Green color = Bullish zone (65%+)
- Red color = Bearish zone (35%-)
- Orange color = Neutral zone (36-64%)
- **SIGNAL:** Current status (BUY/SELL/WAIT)
### Interpreting the Score
- **70-100% (Strong Bullish):** All or most indicators agree market is going up. Consider long positions.
- **65-69% (BUY Signal Zone):** Enough confirmation for entry. BUY signals trigger here.
- **36-64% (Neutral Zone):** No clear direction. Wait for clearer setup or maintain existing positions.
- **31-35% (SELL Signal Zone):** Enough confirmation for exit. SELL signals trigger here.
- **0-30% (Strong Bearish):** All or most indicators agree market is going down. Avoid longs or consider shorts.
### Step-by-Step Usage
1. **Add to chart:** Click "Add to favorites" then add from your indicators list
2. **Check the score:** Look at the dashboard table in the top-right corner
3. **Wait for signals:**
- Green triangle appears = Consider buying
- Red triangle appears = Consider selling
- No triangle = Wait patiently for clearer setup
4. **Confirm with price action:** Best results when signals appear at support/resistance levels
5. **Use risk management:** Always set stop losses (3-5% below entry for longs)
6. **Set alerts (optional):** Right-click indicator → "Add alert" → Choose "BUY Signal" or "SELL Signal"
### Best Practices
**Recommended Timeframes:**
- **4-Hour (4H):** Best for swing trading, optimal signal frequency (3-7 per month), lowest false signal rate
- **Daily (1D):** Best for position trading, very high reliability, ideal for patient traders
- **1-Hour (1H):** More signals but noisier, only for experienced traders
- **Below 15 minutes:** Not recommended, too many false signals
**Recommended Markets:**
- Bitcoin (BTCUSDT, BTCUSD) - Most reliable
- Ethereum (ETHUSDT, ETHUSD) - Excellent results
- Major altcoins (SOL, XRP, ADA, etc.) - Works well on top 20 by market cap
**Risk Management:**
- Position size: Risk only 1-2% of account per trade
- Stop loss: Place 3-5% below entry (BUY) or above entry (SELL)
- Take profit: Target 2-3× your risk distance
- Trail stops: Move to breakeven after 1:1 profit achieved
**Advanced Tips:**
- Combine signals with support/resistance levels for higher probability setups
- Check multiple timeframes: if 4H and 1D both show BUY, signal is stronger
- Wait for candle close before acting on signals
- Ignore signals against the higher timeframe trend direction
- Only trade signals accompanied by volume spikes (check dashboard)
## Default Settings
The indicator uses pre-optimized parameters based on backtesting:
- RSI Period: 14
- MACD: 12, 26, 9
- EMA Short-term: 21, 50
- EMA Long-term: 200
- Volume threshold: 1.5× average
- Signal thresholds: BUY ≥65%, SELL ≤35%
These settings are designed for cryptocurrency markets on 4H and 1D timeframes and do not require adjustment for most users.
## Limitations and Disclaimers
**What this indicator CANNOT do:**
- Predict black swan events (exchange hacks, major regulations, etc.)
- Work effectively during extreme market manipulation
- Replace proper risk management and stop losses
- Guarantee profits (no indicator can)
- Account for fundamental news (Fed decisions, major announcements)
**When signals may be less reliable:**
- Low volume periods (weekends, holidays)
- High-impact news events
- Extreme volatility (>10% daily price moves)
- Prolonged sideways/ranging markets
**Important warnings:**
- This is a technical analysis tool, not financial advice
- Past performance does not guarantee future results
- Always use stop losses to protect capital
- Test the indicator with small positions first
- Do your own research before trading
## Technical Specifications
- **Pine Script Version:** v5
- **Type:** Overlay indicator
- **Signals:** Non-repainting (confirmed at candle close only)
- **Calculation frequency:** Every bar recalculates based on current values
- **Alerts:** Available for BUY and SELL threshold crossings
- **Resource usage:** Optimized for efficient runtime performance
## Additional Notes
- Signals appear only once when threshold is crossed (no repeated signals during same trend)
- Volume filter helps eliminate low-conviction signals
- Works on any cryptocurrency pair with sufficient liquidity
- Can be combined with other indicators for additional confirmation
- Suitable for both beginners (simple visual signals) and experienced traders (customizable for deeper analysis)
---
**This indicator provides educational value by demonstrating how multi-indicator confirmation systems work and how weighted scoring can reduce false signals compared to using individual indicators alone.**
KELTNER BREAKOUT STRATEGY FOR CRYPTO ASSETS 1. Philosophy: The "Volatility Breakout"
The core philosophy is that **momentum precedes price**. By waiting for a break above the Keltner Channel, you aren't just betting that the price will go up; you are betting that the price has enough energy (volatility) to move outside its standard deviation.
Asset Class Suitability: This strategy is specifically designed for **Cryptocurrencies**. Because Crypto often moves in parabolic cycles with high volatility, it can sustain the "overextended" moves required to stay outside the Keltner Channels.
Why not FX or Stocks? Traditional markets like Forex are typically mean-reverting, and Stocks often have "gap" risks or lower intraday volatility. In those markets, hitting the upper KC band often signals exhaustion. In Crypto, it’s often the signal that the "real" move is starting.
The "Let Winners Run" Mantra: No fixed Take Profit (TP) allows you to capture "fat-tail" returns—those rare, massive trends that make up the bulk of a trend-follower's profits.
2. Background: The Components
*Keltner Channels: Uses Average True Range (ATR) rather than standard deviation. This makes the bands more representative of actual price action and volatility gaps common in crypto.
The 100 MA Anchor: The 100-period Simple Moving Average acts as the "line in the sand." It filters out noise and provides a trailing exit that only triggers when the macro trend has officially shifted.
3. Trading Cheat Sheet (Copy-Paste Ready)
Market Environment
Asset Focus: Crypto Only (High Volatility assets).
Trend Filter: Price must be outside the KC 100 bands to confirm a macro trend.
Long Setup (Buy)
Macro Requirement: Price must be trading ABOVE the KC 100 Upper Band.
Entry Trigger: Price crosses ABOVE the KC 20 Upper Band.
Mandatory Exit: Price closes BELOW the MA 100.
Short Setup (Sell)
Macro Requirement: Price must be trading BELOW the KC 100 Lower Band.
Entry Trigger: Price crosses BELOW the KC 20 Lower Band.
Mandatory Exit: Price closes ABOVE the MA 100.
Risk Management
Take Profit: None (Trend-following approach).
Stop Loss: Trailing via the MA 100.
Bullish Divergent Bar DCA Strategy [Skyrexio]Overview
Bullish Divergent Bar DCA Strategy is a long-only, multi-layer Dollar-Cost Averaging (DCA) strategy that builds positions around bullish divergent bars formed below the Williams Alligator. It detects potential local bottoms and then scales into the move using up to four pyramiding entries, each with its own size and price threshold. The strategy optionally incorporates Market Facilitation Index (MFI) and Awesome Oscillator (AO) momentum to strengthen reversal confirmation and uses ATR-based take profit on the averaged entry price.
Unique Features
Layered DCA entries with equity-based sizing . It supports up to four DCA layers, where each additional layer is opened only after a configurable percentage drawdown from the first entry and position size is computed as a fraction of current equity via a geometric weighting scheme.
Optional AO and MFI confirmation . Users can require Awesome Oscillator momentum divergence, MFI/volume “squat” bars, or both to confirm that the reversal bar is accompanied by capitulation and weakening downside momentum.
ATR-based dynamic take profit . Take profit is defined as a multiple of ATR added to the current average entry price, automatically adjusting exits to prevailing volatility.
Built-in DCA visualization . The script can plot the initial entry level and all DCA thresholds to make the averaging structure and risk visually transparent on the chart.
Methodology
The core entry logic starts from a bullish divergent bar definition: the bar must close above its midpoint (close > hl2) and be the lowest low within the user-defined lookback window, flagging a local swing low. On top of this, the bar must form entirely below all three Alligator lines, ensuring that the pattern appears after a sustained downside move rather than inside noise.
If enabled, AO adds a momentum filter by requiring the Awesome Oscillator difference to be negative (descending bar on AO histogram), signaling fading downside momentum at the potential bottom. If the MFI filter is enabled, the bar (or one of the last two bars) must be a “squat” bar where spread narrows while volume increases, approximating effort vs. result exhaustion.
Once a valid bullish reversal bar is detected and the time is within the configured trading window, the strategy opens the first DCA layer using a stop entry at the bar’s high (confirmation level), only entering if price actually breaks the bar high. Additional layers (second, third, and fourth entries) are only allowed if price trades below percentage thresholds from the first entry price and a new valid bullish reversal bar forms, thereby averaging down into deep pullbacks while still requiring fresh reversal evidence.
While any DCA position is open, the strategy continuously recalculates the take profit as the current volume-weighted average entry price plus ATR multiplied by a user-defined factor. All individual entries share the same take profit level through separate strategy exit calls, so the entire stacked position exits together once price has moved sufficiently above the averaged entry.
Strategy settings
In the inputs window, users can configure the following strategy settings:
sourceUuid / secretToken: Identifiers used to format JSON alerts for automated execution through webhooks.
Trade Start Date/Time: Beginning of the backtest/live-trading window.
Trade Stop Date/Time: End of the backtest/live-trading window.
Show DCA Levels (default = false): Toggles plotting of the initial entry level and all three DCA thresholds on the chart.
Enable MFI (default = false): Enables the MFI-style volume/spread filter.
Enable AO (default = false): Enables Awesome Oscillator confirmation.
Number Of Bar For Lowest Bar (default = 7): Lookback window used to identify the lowest low bar for the bullish reversal bar condition.
Layer 2 Threshold Percent (default = 4.0): Percentage drop from the first layer price that must be reached to allow the second DCA entry.
Layer 3 Threshold Percent (default = 10.0): Percentage drop from the first layer price required to unlock the third DCA layer.
Layer 4 Threshold Percent (default = 22.0): Percentage drop from the first layer price required to unlock the fourth DCA layer.
Position Size Multiplier (default = 2.0): Multiplier used in the geometric weighting scheme to determine how much equity is allocated to each additional DCA layer.
Number Of ATR For Take Profit (default = 2.0): ATR multiple added to the current average entry price to calculate the shared take profit for all open layers.
Users can refine these parameters during backtesting to fit the volatility profile and structure of the specific asset and timeframe.
Justification of Methodology
Before understanding why this particular combination of indicator has been chosen let's briefly explain what is Williams Alligator, MFI and AO.
let’s start with the Williams Alligator. Developed by Bill Williams, the Alligator is a technical indicator that identifies trends and potential market reversals. It consists of three smoothed moving averages:
Jaw (Blue Line): The slowest of the three, based on a 13-period smoothed moving average shifted 8 bars ahead.
Teeth (Red Line): The medium-speed line, derived from an 8-period smoothed moving average shifted 5 bars forward.
Lips (Green Line): The fastest line, calculated using a 5-period smoothed moving average shifted 3 bars forward.
When the lines diverge and align in order, the "Alligator" is "awake," signaling a strong trend. When the lines overlap or intertwine, the "Alligator" is "asleep," indicating a range-bound or sideways market. This indicator helps traders determine when to enter or avoid trades.
The Awesome Oscillator (AO), developed by Bill Williams, is a momentum indicator designed to measure market momentum by contrasting recent price movements with a longer-term historical perspective. It helps traders detect potential trend reversals and assess the strength of ongoing trends.
The formula for AO is as follows:
AO = SMA5(Median Price) − SMA34(Median Price)
where:
Median Price = (High + Low) / 2
SMA5 = 5-period Simple Moving Average of the Median Price
SMA 34 = 34-period Simple Moving Average of the Median Price
The Market Facilitation Index (MFI) is a technical indicator that measures the price movement per unit of volume, helping traders gauge the efficiency of price movement in relation to trading volume. Here's how you can calculate it:
MFI = (High−Low)/Volume
MFI can be used in combination with volume, so we can divide 4 states. Bill Williams introduced these to help traders interpret the interaction between volume and price movement. Here’s a quick summary:
Green Window (Increased MFI & Increased Volume): Indicates strong momentum with both price and volume increasing. Often a sign of trend continuation, as both buying and selling interest are rising.
Fake Window (Increased MFI & Decreased Volume): Shows that price is moving but with lower volume, suggesting weak support for the trend. This can signal a potential end of the current trend.
Squat Window (Decreased MFI & Increased Volume): Shows high volume but little price movement, indicating a tug-of-war between buyers and sellers. This often precedes a breakout as the pressure builds.
Fade Window (Decreased MFI & Decreased Volume): Indicates a lack of interest from both buyers and sellers, leading to lower momentum. This typically happens in range-bound markets and may signal consolidation before a new move.
For our purposes we are interested in squat bars. This is the sign that volume cannot move the price easily. This type of bar increases the probability of trend reversal. In this indicator we added to enable the MFI filter of reversal bars. If potential divergent bar or two preceding bars have squat state this bar can be interpret as a reversal one.
The strategy intentionally focuses on bullish divergent bars forming at local lows and below the Alligator to catch potential exhaustion points in downtrends where risk/reward becomes asymmetric. The Alligator (Jaw, Teeth, Lips) acts as a dynamic structure filter: requiring price to be below all three lines before reversal helps avoid chasing minor pullbacks inside an ongoing uptrend and instead concentrates entries on deeper corrections where mean reversion potential is higher.
The custom bullish divergent bar rule (close above midpoint and being the lowest low over N bars) approximates a local capitulation candle, which often precedes short squeezes or at least strong reactions. By combining this with AO and MFI-style filters, the strategy further increases the likelihood that the pattern coincides with downside momentum(as a confirmation that current trend is downward, AO difference < 0) and effort vs. result anomalies (squat bars), which is common signatures of trend exhaustion.
The DCA structure is designed to deploy capital progressively rather than all at once: the first entry is triggered only if price confirms the reversal by breaking above the bar’s high, while subsequent layers require both a deeper discount relative to the initial entry and a new bullish reversal signal. Percentage thresholds from the first entry ensure that each additional allocation is made at meaningfully better prices, improving the blended entry level and reducing the break-even distance.
Finally, using ATR as the basis for take profit aligns exits with current volatility. A fixed-percentage target can be too tight in volatile regimes or too loose in quiet markets, whereas ATR-based targets scale with average bar range. Applying ATR to the evolving average entry price of all open layers keeps the risk/reward framework consistent across different volatility regimes and DCA configurations.
Backtest Results
Operating window: Date range of backtests is 2025.01.01 - 2026.01.01. It is chosen to let the strategy to close all opened positions.
Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks.
Initial capital: 10000 USDT
Maximum Single Position Loss: -6.56%
Maximum Single Profit: +4.92%
Net Profit: +934.08 USDT (+9.34%)
Total Trades: 121 (82.64% win rate)
Profit Factor: 2.948
Maximum Accumulated Loss: 624.72 USDT (-6.15%)
Average Profit per Trade: 7.72 USDT (+0.37%)
Average Trade Duration: 60 hours
These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters.
You should run your own backtests on the target asset and timeframe (for example, BTC/USDT on intraday charts) and adjust threshold percentages, layer sizing, and ATR take profit factor to match your risk tolerance and market conditions.
How to Use
Add the script to favorites for easy access.
Apply to the desired timeframe and chart.
Configure settings using the dropdown choice list in the built-in menu.
Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}}
Disclaimer:
Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation
OverfittingMetricsLibrary "OverfittingMetrics"
calculateMetrics(tradeResults, tradeTypes, minTrades, startCapital)
Parameters:
tradeResults (array)
tradeTypes (array)
minTrades (int)
startCapital (float)
randomizeParameter(baseValue, variationPercent, seed)
Parameters:
baseValue (float)
variationPercent (float)
seed (int)
classifyMarket(priceSeries, lookbackLength)
Parameters:
priceSeries (float)
lookbackLength (simple int)
checkOverfittingWarnings(winRate, profitFactor, totalTrades)
Parameters:
winRate (float)
profitFactor (float)
totalTrades (int)
calculateConsistency(tradeResults)
Parameters:
tradeResults (array)
isOverfitDetected(winRate, profitFactor, totalTrades, minTrades)
Parameters:
winRate (float)
profitFactor (float)
totalTrades (int)
minTrades (int)
getOverfitScore(winRate, profitFactor, totalTrades)
Parameters:
winRate (float)
profitFactor (float)
totalTrades (int)
Open Interest [OI] & Liquidation Flow█ THE DUAL-ENGINE ARCHITECTURE: A FUSION OF TWO CRITICAL FORCES
The power of this suite comes from its dual-engine design. It isolates and analyzes the two opposing forces that truly drive modern markets: the informed positioning of institutions and the often-misguided sentiment of the retail crowd. A high-probability trade signal is only generated at the precise moment these two forces come into critical conflict.
ENGINE 1: The Open Interest (OI) & Position Flow Engine
This is your lens into the institutional world. Its primary function is to track the flow of money into and out of the market, revealing the true intent of large players.
Live OI Integration: In a groundbreaking feature for TradingView, this engine includes a Smart Symbol Detector that automatically seeks and integrates LIVE Open Interest data for supported markets (CME, Binance, Bybit, etc.). When available, you are seeing a direct feed of net new positions entering the market.
12-Factor Synthetic OI Model: When live OI data is not available, the engine synthesizes a high-fidelity proxy by analyzing 12 distinct factors, including Cumulative Volume Delta (CVD), Absorption, Effort vs. Result, and Institutional Bias.
Curvature Analysis: We don't just look at the flow; we analyze its Velocity and
Acceleration . A sharp acceleration in bullish OI Flow is a powerful sign that institutions are aggressively building long positions.
INTERPRETATION: This engine tells you what the "smart money" is doing. A divergence—where price is falling but OI Flow is rising—is a classic sign that institutions are quietly absorbing retail panic, often preceding a violent reversal upwards.
ENGINE 2: The Liquidation Flow & Crowd Engine
This engine operates on a powerful contrarian philosophy: the market is designed to inflict maximum pain on the largest number of participants. It identifies when the retail "herd" is over-leveraged and positioned for a fall.
Crowd Positioning Model: It analyzes factors like extreme RSI levels, deviation from Fair Value (VWAP), and "chase behavior" (e.g., many consecutive bullish candles) to determine when the retail crowd is dangerously over-exposed.
Risk Analysis: It synthesizes multiple risk factors—crowding, momentum divergence, exhaustion—into a single, easy-to-read Liquidation Risk percentage .
Fear & Greed Skew: It measures the volatility skew in the options market to provide a direct gauge of market-wide fear and greed, adding a final layer of sentimental context.
HOW TO USE IT: This is your liquidation radar. When Liquidation Risk is HIGH and the Crowd is positioned heavily LONG, the market is primed for a long squeeze (a liquidation cascade downwards). Conversely, when the Crowd is heavily SHORT, a short squeeze is highly probable.
█ THE SECRET SAUCE: UNIVERSAL ADAPTABILITY
The genius of this engine lies in its ability to work on any asset, in any timeframe, without manual recalibration. This is achieved through Z-Score Normalization . Every piece of data is converted from a raw value into a statistical score representing its deviation from the "norm." A +2.0 sigma event represents an extreme outlier, whether it's on a 1-minute chart of a crypto asset or a daily chart of a stock. This makes the signals universally comparable and allows the engine to automatically adapt to the unique volatility and character of any market.
█ THE ARSENAL: MASTERING THE VISUALS & ON-CHART TOOLS
Every visual element is a data-rich component designed for rapid, intuitive interpretation.
The Lower Pane Visualizer
This is your primary intelligence dashboard, with four distinct modes to view the underlying market forces:
Classic Flow (Default): A multi-column view perfect for spotting divergences between price and the underlying flow of money and sentiment.
Heatmap Matrix: A color-density grid designed to identify "cluster" events where multiple engines light up simultaneously, signaling institutional consensus.
Oscillator Pro: A zero-centered line visualization for traders who prefer crossover and momentum-style analysis.
Delta Waterfall: A unique cascading visualization that shows the cumulative "weight" of the market, stacking the pressure from each engine to reveal the dominant force.
Main Chart Overlays
BUY/SELL Signals: These are the primary, high-conviction reversal signals. They are not simple crossovers; they are the result of a rigorous confirmation process where institutional OI Flow directly conflicts with a vulnerable retail Liquidation Flow.
Minor Triangles (▲▼): Secondary momentum signals that are excellent for scalping, confirming a trend, or adding to a winning position.
Supply/Demand Zones: When a strong, institutionally-backed signal fires, the script automatically plots a defended zone (Red for Supply, Green for Demand), highlighting future high-probability reversal areas.
Key Levels: Automatically extends lines from significant highs and lows where a major flow reversal occurred, highlighting critical support and resistance.
High Risk Diamonds (💎): A critical risk management tool. These markers appear when conditions are ripe for a liquidation cascade. This is an explicit warning to take profits or stand aside.
The Dashboard (HUD)
Your at-a-glance command center, displaying real-time, mission-critical data:
Z-Scores for OI Flow Velocity & Acceleration: See the raw, normalized momentum of the institutional flow.
Crowd Sentiment Status: Instantly know if the market is dangerously "CROWDED" or balanced.
Liquidation Risk %: A numerical gauge from 0-100% showing the probability of a violent flush.
Live Data Status: Confirms whether the engine is using LIVE OI data or the PRO synthetic model.
Optimizer Readout: When enabled, shows the backtest results of your current settings.
█ THE COMMAND CENTER: MASTERING THE INPUTS
This suite offers deep customization for the professional trader.
Analysis Length: The "memory" of the flow engine. Use shorter lengths (10-14) for scalping and longer lengths (21+) for swing trading.
Signal Sensitivity: A master control to switch between Conservative (fewer, higher-quality signals), Normal (balanced), and Aggressive (more frequent signals for scalping) modes.
Display Toggles: Individually enable or disable any of the core components in the lower pane to create your perfect analytical view.
Overlay Controls: Individually toggle all on-chart visuals and control the maximum number of Zones and Key Levels to maintain a clean workspace.
█ THE OPTIMIZER ENGINE: VALIDATE BEFORE YOU TRADE
Confidence comes from data. The built-in Optimizer Engine is a powerful backtester that runs on your chart's visible data. It allows you to rapidly test different ATR-based Take Profit and Stop Loss parameters, providing key metrics like Win Rate, Profit Factor, and a proprietary Stability Rating ( ROBUST, STABLE, FRAGILE, OVERFIT ) to help you find the most statistically sound settings for your specific asset and timeframe before risking capital.
█ DEVELOPMENT PHILOSOPHY
This indicator was born from a single, guiding principle: to win in modern markets, you must stop listening to the noise of price and start analyzing the signal of flow. Price is where amateurs look; flow is where professionals find their edge. This tool is our attempt to level the playing field, translating the opaque world of derivatives and institutional positioning into a clear, intuitive, and actionable intelligence system.
This tool is for the serious student of the market—the trader who seeks to understand the "why" behind the move, not just the "what."
█ DISCLAIMER AND BEST PRACTICES
THIS IS AN ADVANCED ANALYTICAL TOOL: This indicator provides intelligence, not financial advice. It should be used as a core component of a comprehensive trading strategy that includes your own analysis of market structure and risk management.
RISK MANAGEMENT IS PARAMOUNT: All trading involves substantial risk. Never risk more capital than you are prepared to lose. This indicator does not guarantee profits.
SIGNAL HIERARCHY IS KEY: Treat the main BUY/SELL labels as your primary signals. Use the minor triangles to add to positions or for scalping. Use the High Risk diamonds as a signal to reduce exposure and take profits.
MULTI-TIMEFRAME ANALYSIS: For the highest probability setups, use the indicator on a higher timeframe (e.g., 1H) to establish an institutional bias, then take signals on a lower timeframe (e.g., 5m) that align with that bias.
"The game of speculation is the most uniformly fascinating game in the world. But it is not a game for the stupid, the mentally lazy, the person of inferior emotional balance, or the get-rich-quick adventurer. They will die poor."
— Jesse Livermore
Taking you to school. - Dskyz, Trade with Open Interest. Trade with Liquidity. Trade with Open Interest & Liquidation Flow
ADX Curvature SuiteADX² Curvature Suite: Beyond Trend Strength
Detect Trend Ignition Before the Crowd by Analyzing the Second Derivative of Momentum.
█ OVERVIEW: A PARADIGM SHIFT IN TREND ANALYSIS
This is not another ADX indicator. This is a complete paradigm shift in how we perceive and trade trends.
The standard Average Directional Index (ADX) is a powerful but fundamentally flawed tool for the modern trader. It is a lagging indicator. It tells you that a trend existed . It confirms what has already happened. The ADX² Curvature Suite was engineered to solve this problem by asking a more profound question: not "Is there a trend?" but " Is a trend being born right now? " and " Is this established trend about to die? "
To achieve this, we go beyond the first dimension of trend strength and venture into the second and third dimensions: Velocity and Acceleration . We don't just measure the ADX value; we measure its rate of change, and the rate of change of its rate of change. This is Curvature Analysis . It allows us to see the subtle, invisible forces building beneath the surface of the market—the coiling spring of momentum right before a trend explodes, and the critical loss of thrust right before it collapses.
This suite is a fusion of three professional-grade analytical engines working in perfect concert:
The Curvature Engine: A sophisticated calculus-based system that computes the 1st and 2nd derivatives of the ADX to quantify its momentum.
The Phase Detection System: A proprietary model that classifies the market into one of six distinct phases in a trend's lifecycle, from Dormancy to Exhaustion.
The Quantum Vortex Bands™: A visually stunning, adaptive volatility and momentum channel for the ADX itself, providing context to its every move.
Together, they form a comprehensive decision-support system designed to give you an almost unfair advantage in identifying trend ignition and exhaustion points before the rest of the market has even registered a change.
█ THE SCIENCE: THE THREE PILLARS OF ADX²
The genius of this suite lies in its multi-layered mathematical foundation. It's a symphony of classical theory and modern statistical analysis.
Pillar 1: The Core ADX Engine (The "What")
At its base, the suite uses the classic ADX calculation developed by J. Welles Wilder Jr. It measures the strength of a trend, irrespective of its direction, on a scale of 0-100. The Directional Movement Indicators (+DI and -DI) provide the directional bias. This is our foundation—the raw data from which we extract a higher-dimensional truth.
Pillar 2: Curvature Analysis (The "When")
This is the revolutionary core of ADX². We apply the principles of differential calculus to the ADX line itself.
Velocity (1st Derivative): Calculated as ADX - ADX . This is the speed of the ADX. A positive velocity means trend strength is increasing. A negative velocity means it's decreasing. This is a leading indicator compared to the ADX value alone.
Acceleration (2nd Derivative): Calculated as Velocity - Velocity or ADX - 2*ADX + ADX . This is the change in speed of the ADX. It's the "force" being applied to the trend.
Positive Acceleration is like pressing the gas pedal on a car. It signifies a trend is not just strengthening, but strengthening at an increasing rate. This is the mathematical signature of Ignition .
Negative Acceleration is like hitting the brakes. It signifies a trend is losing thrust, even if its speed (ADX value) is still high. This is the mathematical signature of Exhaustion .
By analyzing these derivatives, we can identify critical inflection points in trend momentum that are completely invisible to anyone looking at the standard ADX alone.
Pillar 3: Z-Score Normalization (The "How")
Raw acceleration values are meaningless when comparing different assets or timeframes. An acceleration spike on NQ is vastly different from one on EURUSD. To solve this, we employ a powerful statistical tool: the Z-Score .
The Z-Score formula is: Z = (Value - Mean) / Standard_Deviation
We apply this to our calculated acceleration values. The result is a normalized score that tells us how many standard deviations away from the "normal" behavior the current acceleration is. A Z-Score of +2.0 means the current acceleration is a 2-sigma event—statistically significant and rare. This makes our signals universal and adaptive . A +2.0 sigma Ignition signal has the same statistical weight on a 1-minute chart of a volatile crypto as it does on a daily chart of a stable stock. This is what allows the suite to work out-of-the-box on virtually any market, automatically adapting to its unique volatility and character.
█ THE SIX PHASES OF A TREND: A MARKET LIFECYCLE
The ADX² engine uses its curvature and Z-Score data to classify the market into one of six distinct phases, providing a clear, color-coded narrative of the trend's lifecycle.
💤 DORMANT: ADX is low and flat. The market is consolidating. There is no trend. This is the time to stand aside and wait.
⚡ IGNITION: ADX is low, but a powerful spike in positive acceleration has been detected. The engine of a new trend is firing up. This is your earliest entry signal.
🚀 ACCELERATION: ADX is rising with positive velocity. The trend has left the station and is gaining momentum. This is the main "trend following" phase.
🏔 MATURE: ADX is high and its velocity is flattening. The trend is well-established and powerful, but no longer accelerating. This is a time to be cautious and manage positions.
🔥 EXHAUSTION: ADX is high, but a significant negative acceleration event has occurred. The trend has hit the brakes hard. A reversal or deep pullback is highly probable. This is your primary exit signal.
📉 DECLINE: ADX is falling with negative velocity. The trend's strength is actively fading, and the market is returning to a dormant state.
█ THE ARSENAL: MASTERING THE VISUALS
Every visual element is a data-rich component designed for rapid interpretation.
The Main Chart: Signals & Trade Management
Signal Shapes: Every signal appears as a shape on the main chart.
Triangles (▲▼): These are the highest conviction signals— Ignition and
Exhaustion . Their color indicates the specific event type.
X-Crosses (◇): These mark Divergences between price and ADX—powerful reversal warnings.
Kill Zone Labels: These are dynamic, floating labels that appear in real-time when high-probability conditions are met.
⚡ IGNITION ZONE: Appears below price when the market is dormant but curvature is building. It's a "prepare to engage" warning.
🔥 EXHAUSTION ZONE: Appears above price when the trend is mature but rapidly decelerating. It's a "prepare to exit" warning.
The Signal Line System: When a signal fires, a full trade management overlay can be drawn.
Entry Line: A colored line (Solid, Dashed, or Dotted) at the signal price.
SL/TP Lines: Dotted lines showing ATR-based Stop Loss (Red) and up to 3 Take Profit levels (Green).
Live Tracking: The lines track progress, dimming when a TP is hit and self-deleting upon completion, leaving a ✓ for a win or an ✗ for a loss. It's a visual backtester on your live chart.
The Lower Pane: The Engine Room
The ADX Line: The line itself is color-coded. A dull color indicates low ADX, a neutral color for a building trend, and a bright, vibrant color for a high, mature trend.
Signal Dots: Colored circles and crosses are plotted directly on the ADX line, allowing you to instantly correlate the signal with the exact ADX level and phase.
The Quantum Vortex Bands™: This is not a Bollinger Band. This is a dynamic, six-layered channel for the ADX itself.
Adaptive Width: The bands expand and contract based on both ADX volatility and its current acceleration (curvature). High acceleration forces the bands wider, anticipating a larger move.
Phase-Adaptive Colors: The fill color of the bands changes dynamically to match the currently detected market phase, giving you an at-a-glance understanding of the trend's health.
Interpretation: When ADX pushes to the outer bands, it's in an extreme state. An Ignition signal when ADX is at the lower band is a high-conviction entry. An Exhaustion signal when ADX is at the upper band is a high-conviction exit.
The Dashboard (HUD): Your All-In-One Command Center
This professional Heads-Up Display provides a comprehensive, real-time summary of every critical metric.
MARKET Section: Shows the raw ADX value, its strength classification (e.g., "STRONG"), and the current directional bias (Bulls vs. Bears) with the spread between +DI and -DI.
MOMENTUM Section: This is the curvature readout. It displays the numerical Velocity (VEL), the Z-Score of the Curvature (CURV), and the RSI of the ADX (RSI²) for a meta-momentum perspective.
PHASE Section: Your at-a-glance trend lifecycle status. It shows the current confirmed phase icon and name (e.g., "⚡ IGNITION"), a counter for how many bars the phase has been active, and the type/strength of any active signal.
STATUS Section: A quick check on secondary systems. It confirms if you are in a Kill Zone, if a Divergence is active, and the count of active Signal Lines on your chart.
OPTIMIZER Section: When enabled, this section displays the results of the built-in backtester, including Win Rate, Profit Factor, and a proprietary Stability Rating ( ROBUST, STABLE, FRAGILE, OVERFIT ) to help you validate your settings.
█ THE COMMAND CENTER: MASTERING THE INPUTS
Every parameter of the ADX² engine is exposed for your control. This allows for unparalleled fine-tuning to any market, timeframe, or trading style.
Core ADX & Curvature Settings
ADX/DI Length & Smoothing: Standard ADX parameters. How to use: Shorter lengths (e.g., 10) for scalping; longer lengths (e.g., 21) for swing trading. Stick to "RMA" smoothing for the classic feel.
Curvature Smoothing: This is the "secret sauce." It smooths the velocity and acceleration calculations. How to use: Use a low value (2-3) for volatile markets or low timeframes to remain responsive. Use a higher value (4-5) for smoother signals on higher timeframes.
Z-Score Lookback & Threshold: Controls the normalization engine. How to use: The Lookback (default 50) sets the "memory" for what is "normal." The Threshold is for the generic curvature spike signals (circles). A higher value (e.g., 2.5σ) will only show extreme events.
Signal Detection Settings
Ignition/Exhaustion Thresholds: The Z-Score level required to trigger the primary phase-change signals. How to use: A lower threshold (e.g., 1.0σ) will give earlier, more frequent signals with more false positives. A higher threshold (e.g., 2.0σ) will give later, less frequent, but higher-conviction signals.
Low/High ADX Levels: These define the boundaries for the phases. Low ADX (default 20) is the ceiling for the Dormant phase. High ADX (default 40) is the floor for the Mature phase. How to use: For choppy markets, you might raise the Low ADX to 22 to avoid false ignitions. For strongly trending markets, you might lower the High ADX to 35 to get earlier exhaustion warnings.
Min Bars Between Signals: A crucial spam filter. It enforces a "cooldown period" after a signal fires, preventing over-trading in choppy conditions.
Signal Lines & Trade Management
SL/TP Multipliers (xATR): Fully customize the risk-to-reward profile of the visual trade overlays. The system uses the Average True Range (ATR) for volatility-adaptive targets. How to use: For day trading, a 1.5 ATR Stop Loss and 1.0, 2.0, 3.0 ATR Take Profits is a balanced approach. For swing trading, you might use a wider 2.5 ATR stop and more ambitious targets.
Quantum Vortex Bands™
Band Mode: Choose from four distinct geometric configurations ( Triple Layer, Fractal Cloud, Momentum Tunnel, Phase Spectrum ) to visually optimize the bands for your specific market type—from high-volatility crypto to tight-ranging indices.
Band Width Multiplier: The master control for the overall width of the bands, allowing you to tune them to be tighter or wider based on your instrument's character.
The Optimizer Engine
Toggle the built-in backtester to rapidly test your settings. Adjust the optTP and optSL to find the most ROBUST configuration for your chart's visible data before committing to a strategy.
█ DEVELOPMENT PHILOSOPHY
The ADX² Curvature Suite was born from a deep dissatisfaction with the static, lagging nature of conventional technical analysis. We believe the future of trading lies not in measuring where the market has been, but in quantifying the forces that will determine where it is going next. By applying calculus and adaptive statistics to a classic indicator, we've created a tool that doesn't just show you the trend; it reveals its DNA. It is complex by necessity, because the market is complex. My mission is to translate that complexity into actionable clarity.
This suite is my attempt to provide the ultimate tool for "sizing up the entire market," giving you the ability to see the very inception and conclusion of those main movements where the real money is made.
█ DISCLAIMER AND BEST PRACTICES
THIS IS NOT A STANDALONE SYSTEM: The ADX² Suite is an advanced decision-support tool. It should be used in conjunction with your own analysis of price action, support/resistance, and market structure.
RISK MANAGEMENT IS PARAMOUNT: All trading involves risk. The visual SL/TP lines are for guidance only. Always use proper position sizing and risk management protocols. This indicator does not guarantee profits.
BACKTEST AND OPTIMIZE: Use the built-in Optimizer Engine and TradingView's Strategy Tester to find the settings that are most robust for your chosen instrument and timeframe before trading live.
HIGH-CONVICTION SETUPS: The highest probability signals occur when multiple factors align: An Ignition signal fires from a low ADX level, near the bottom of the Vortex Bands, in a confirmed Kill Zone, and in the direction of the higher timeframe bias.
"The big money is not in the individual fluctuations, but in the main movements – that is, not in reading the tape, but in sizing up the entire market and its trend."
— Jesse Livermore
Taking you to school. - Dskyz, Trade with probability. Trade with anticipation. Trade with ADX².
Hooke's Law: Market ElasticityHooke's Law: Market Elasticity is a physics-based mean reversion system that models price action using the principles of Classical Mechanics.
Most technical indicators treat the market as a purely statistical entity. This script takes a different approach, treating the market as a physical object with Mass (Volume) and Stiffness (Volatility) . By adapting Hooke’s Law of Elasticity (𝐹=−𝑘𝑋), it visualizes the "Tensile Stress" between price and its equilibrium, identifying the exact moment when a trend becomes unsustainable and must "snap back."
The Physics of Trading
In physics, Hooke's Law states that the force needed to extend a spring is proportional to the distance it is stretched. We map this to financial markets using four key components:
Equilibrium (𝑋=0): The "Resting State" of the market, calculated using a Volume-Weighted Moving Average (VWMA) . This represents the fair value where buyers and sellers agree.
2. Displacement (𝑋): The distance price travels away from this equilibrium.
3. Spring Constant (𝑘): We use Volatility (Standard Deviation) to measure the market's "stiffness."
• Low Volatility: The spring is loose; price can wander far without snapping.
• High Volatility: The spring is stiff; even small deviations create massive tension.
4. Force (𝐹): The calculation is weighted by Relative Volume . A price spike on low volume has low force (easy to reverse), while a spike on high volume carries high momentum (harder to reverse).
Visual Guide & Signals
The indicator uses a hierarchy of visuals to guide you through the trade lifecycle:
1. The Elastic Ribbon (Heatmap)
Connects Price to the Baseline. As the ribbon turns Solid White , the market has reached its Elastic Limit (Critical Zone). This is your warning that a move is overextended.
2. The "Golden" Labels (LONG / SHORT)
These are your Entry Signals . They appear only when the physics "snap" is confirmed by an internal momentum filter and price action.
3. The Small Circles (Minor Reversions)
These dots represent "Minor Snaps." They occur when the elastic tension releases, but the momentum filter hasn't fully confirmed a major reversal.
• Usage: These are excellent Early Warning signs or Scale-In points for aggressive traders.
Strategy: Entries, Exits & Take Profits
This script is designed as a complete system. Here is how to manage the trade using the visual cues:
• Entry: Wait for a LONG or SHORT label to appear.
• Stop Loss: Use the Solid White Line that appears automatically with the signal. If price touches this line, the physics setup has failed—exit immediately.
• Take Profit 1 (The Equilibrium): The Gray Baseline represents the market's center of gravity. In mean reversion trading, price tends to snap back to this line. This is the statistically highest-probability target.
• Take Profit 2 (The Circles): If you are in a trade and a Circle appears in the opposite direction, it indicates the market is experiencing counter-tension. This is an ideal place to secure partial profits or trail your stop.
Settings & Configuration
• Baseline Length (Default: 34): The lookback period for the Center of Gravity.
• Elasticity Limit (Default: 2.618): The Golden Ratio is used as the standard deviation threshold for the "Critical Zone."
• Volume Weighting (Default: True): Recommended. Adds the "Mass" component to the physics calculation.
• Stop Loss Buffer (Default: 0.5): The distance (in Sigma) for the Stop Loss placement.
Risk Disclaimer
Not Financial Advice: This indicator is designed for educational and analytical purposes only. It visualizes market data based on mathematical formulas (Hooke's Law and Statistical Deviation) and does not guarantee future performance or profits.
Market Risks: Financial trading involves significant risk. The "Critical Zones" and "Signals" generated by this script identify statistical extremes, but markets can remain irrational or overextended for long periods ("Plastic Deformation").
Usage: Do not trade blindly based on these signals. Always use this tool in conjunction with your own analysis, risk management, and stop-losses. The author assumes no responsibility for any trading losses incurred while using this script.
Gold Futures Prop-Firm Strategy (GC) 1-18-2026Overview
This is a long-only, session-based, multi-regime trading strategy designed specifically for Gold futures (GC / GC1!) on intraday timeframes (typically 5–15 minutes).
The strategy aims to capture high-probability moves during the New York and Asian sessions while avoiding major economic news events and enforcing strict daily risk limits — making it suitable for prop firm challenges (e.g. FTMO, FundedNext, Apex, etc.) that require consistent profitability, limited drawdown, and disciplined risk management.
Core Philosophy
Trade longs only (shorts were removed after analysis showed they were consistently unprofitable)
Different logic depending on session and market regime (trending vs ranging)
Heavy filtering using trend strength (ADX), volume confirmation, EMA alignment, Bollinger Bands, and RSI
Strict position sizing, daily loss cap, per-session trade limits, and news blackout periods
Trailing stop mechanism to let winners run while protecting against reversals
Trading Sessions & Time Windows (Eastern Time)
NY Session: 08:30 – 15:00 ET
NY AM (trend/breakout zone): 08:30 – 11:30 ET
NY PM (mean-reversion zone): 11:30 – 15:00 ET
Asia Session (mean-reversion zone): 18:00 – 02:00 ET
News blackouts: short windows around high-impact releases (CPI/NFP, ISM/Fed, FOMC)
Entry Logic (Long Only)
NY AM – Trend Following & Breakouts (strongest trend filter)
ADX > 30 (strong trend)
Price above 200 EMA (bull regime)
Fast EMA (21) crosses above Slow EMA (55) or breakout above 20-bar high
Volume spike (> 1.4 × 20-period SMA)
Max 2 trades per NY session per day
NY PM & Asia – Mean Reversion
ADX ≤ 30 (ranging market)
Price below lower Bollinger Band (20, 2.0)
RSI < 25 (deep oversold)
No volume filter required here
Max 2 trades per Asia session per day
Risk Management Rules
Position size: Fixed 1–2 contracts (user selectable)
Initial stop: 1.7 × ATR(14) below entry (tightened from original)
Trailing stop:
Activates after price moves +1.0 × ATR in profit
Trails by 1.0 × ATR (locked-in profits aggressively)
Daily loss limit: -$600 (stops all trading for the day once hit)
No trading during defined news windows
Pyramiding disabled (only one position at a time)
No short entries (removed after backtest analysis)
Indicators Used
EMA 21 / 55 / 200 (trend direction & filter)
ATR(14) × 0.85 (volatility base)
ADX(14) threshold 30 (strong trend confirmation)
Bollinger Bands (20, 2.0) for mean-reversion entries
RSI(14) with oversold < 25
Volume spike filter (1.4× SMA) for trend/breakout entries
20-bar highest high / lowest low for breakout detection
Visual Elements on Chart
Fast (blue), Slow (orange), and Filter (red) EMAs
Bollinger Bands (gray, semi-transparent fill)
Background coloring:
Red tint during news blackout periods
Purple tint when daily loss limit is hit
Intended Use Case
Prop trading firm evaluation accounts
Conservative intraday gold trading
Focus on high-quality long setups in trending (NY AM) and mean-reverting (Asia/PM) environments
Goal: positive expectancy with controlled drawdown, suitable for passing drawdown and profit targets
Ultimate Futures Daytrade Suite v1 - The Strategy GuideHere is the complete **Strategy Guide** translated into English.
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# 📘 Ultimate Futures Daytrade Suite – The Strategy Guide
### 1. The Visual Legend (What is what?)
Before you trade, you need to understand the hierarchy of your lines. Not every line has the same importance.
* **🟣 Daily EMA 50 (Neon Violet):** The **"Big Boss"**. It determines the **Macro Trend**.
* *Price above:* We are primarily looking for Longs.
* *Price below:* We are primarily looking for Shorts.
* **🟢 4h EMA 50 (Neon Green):** The **"Swing Trend"**. Your most important level for **Pullback Entries** (Re-entries).
* **🟡 POC (Gold) & TPO:** The **"Magnet"**. Price often returns here.
* *Rule:* Never open a trade directly *on* the POC (Risk of "Chop"). Use it as a **Target** (Take Profit).
* **🟠 IB High/Low (Orange Lines):** The **"Daily Structure"**.
* A breakout from the IB (Initial Balance) often indicates the trend direction for the day.
* **🟥/🟩 Boxes (Supply/Demand):** Resistance and Support zones from the 1h timeframe.
* **⬜ FVG Boxes:** "Gaps" in the market that are often filled.
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### 2. The Trading Workflow (Top-Down Method)
Go through this mental checklist before every trade:
#### Step 1: Trend Check (The Traffic Light)
Look at the **Violet Line (Daily)** and the **Green Line (4h)**.
* **Bullish:** Price is above Violet AND above Green. -> *Focus: Buy dips.*
* **Bearish:** Price is below Violet AND below Green. -> *Focus: Sell rallies.*
* **Mixed:** Price is between Violet and Green. -> *Caution! Market is undecided (Range Trading).*
#### Step 2: Location (The Context)
Where is the price currently located?
* Are we at a **Green Demand Zone**?
* Are we testing the **4h EMA 50 (Green)** from above?
* Are we at the **VWAP**?
* *Never trade in "No Man's Land"!* Wait until the price touches one of your lines.
#### Step 3: Trigger (The Execution)
Now zoom into your lower timeframe (e.g., 5min or 15min).
* Wait for a reaction at the zone.
* Use the **EMA 9 (Yellow)** as a momentum trigger. If price breaks the EMA 9 and closes above/below it, that is your "Go".
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### 3. The Setup Blueprints
Here are the two most profitable scenarios you can trade with this script:
#### A) The "Golden Trend" Setup (Long)
* **Context:** Price > **Daily EMA (Violet)**.
* **Preparation:** Price corrects (drops) back to the **4h EMA 50 (Green)** or to the **VWAP**.
* **Confluence:** Ideally, there is also a **Demand Zone (Green Box)** or an **FVG** at that level.
* **Entry:** As soon as a candle touches the zone and closes bullish again (or reclaims the EMA 9).
* **Stop-Loss:** Below the 4h EMA 50.
* **Take-Profit:** Next **Supply Zone (Red)** or the **IB High (Orange)**.
#### B) The "Daytrade Breakout" (Intraday)
* **Context:** Price opens inside yesterday's Value Area.
* **Signal:** Price breaks through the **IB High (Orange)** with momentum.
* **Filter:** Price must be above the **VWAP**.
* **Entry:** On the retest of the IB High or directly on the breakout.
* **Target:** Price often trends in that direction for the rest of the day.
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### 4. Warning Signals (When NOT to trade)
1. **The "Concrete Ceiling":** If you want to go Long, but the **Violet Daily EMA 50** is running directly above you. This is massive resistance. Better wait until it is broken.
2. **The "POC Dance":** If price is dancing sideways around the **Gold Line (POC)**. This is a "No-Trade Zone". Day traders lose the most money here due to fees and whipsaws.
3. **Overextension:** If price is extremely far away from the **4h EMA 50 (Green)** (Rubber Band Effect). Do not enter in the trend direction here; wait for a pullback to the line.
### Summary
Your chart is now telling you a story:
* **Violet** tells you the Direction.
* **Green** gives you the Entry.
* **Red/Green Boxes** show you the Obstacles.
* **Yellow (EMA 9)** gives you the Timing.
Good luck with the Suite! This is a setup similar to what institutional traders use.
TA Confluence Scanner v2.9 | Mint_Algo📘 TA Confluence Scanner
Introduction
The TA Confluence Scanner is a multi-factor trend system designed to filter market noise and identify high-probability trade setups. By combining adaptive algorithms (KAMA) with Price Action methodologies (SMC, Breakouts, Fractals), this indicator operates on the principle of Confluence : a signal is only valid when multiple independent tools agree on the direction.
Instead of relying on a single lagging indicator (like just MA fast and slow crossover), this script acts as a "Scanner," evaluating the market state through Volatility, Trend Structure, and Equilibrium.
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Important Note
To make this "Plug & Play," I have included optimized presets in the settings for different timeframes (1m/15m-1h/4h-1D) and trading styles (Scalper, Intraday, Swing, Investor) tested on symbols:
FX:EURUSD
IG:NASDAQ
BITSTAMP:BTCUSD
BINANCE:ETHUSD
CAPITALCOM:US500
OANDA:XAUUSD
NASDAQ:AAPL
NASDAQ:TSLA
BUT default settings already include a good preset which excludes most of the noise and grabs the trend better (fewer entries, but quality is higher).
Check the presets at the bottom 👇
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Core Features
Adaptive Trend Filter (KAMA): Adjusts to market volatility to distinguish between chop and true trends.
SMC Equilibrium (EQ) Fans: A three-tiered dynamic structure (Fast, Medium, Slow) for trailing stops and targets.
Confluence Counter: Visually displays the strength of a signal (e.g., "Strong 4/6") based on how many factors align.
Re-Entry Logic: Identifies low-risk entry points within an existing trend.
Automated S/R & Breakouts: Detects key pivot levels and structural breaks.
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Settings & Components Breakdown
1. KAMA (Primary Trend Filter)
The backbone of the system. It calculates the Efficiency Ratio (ER) of price movement.
How it works: If the ER is high (strong trend), KAMA follows price closely. If ER is low (ranging), KAMA flattens out to prevent false signals.
Tuning:
Fast (ER ~100/5/60): For Scalping.
Smooth: Default settings are optimized for a balance between lag and noise reduction.
2. SMC Equilibrium (EQ Structure)
Based on the HL2 formula (High+Low / 2), this creates a "fan" of three lines:
EQ1 (Fast): The aggressive line. Used for early exits or scalping stops.
EQ2 (Medium): The baseline trend structure.
EQ3 (Slow): The major trend container. Used for position trading.
Usage: Use these lines to gauge how far price has deviated from its "fair value."
3. Breakout & Internal Trend
Lookback Period: Defines the range for a valid breakout. A lower lookback (e.g., 10) gives earlier signals but more noise; a higher lookback (e.g., 20-30) confirms significant structural breaks.
Internal Trend: A simplified SMA check to ensure immediate momentum aligns with the macro trend.
4. Signal Strength (The Confluence Meter)
The indicator counts active signals from: KAMA, Internal Trend, S/R, FVG, Breakout, and EQ.
Strong Signal: When the count hits your threshold (e.g., 4/6 ). This suggests a high-probability reversal or breakout.
Medium Signal (Triangles): These appear when the trend is active but not all filters align. These are excellent continuation/re-entry points.
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How to Trade (Strategy Guide)
🎯 The Entry
Wait for a Strong Signal (Large Label). This confirms that volatility, structure, and momentum have aligned.
Conservative: Wait for the candle to close.
Aggressive: Enter on the breakout of the KAMA line.
🔄 Re-Entry & Continuation
Markets rarely move in a straight line.
Scenario: You missed the initial "Strong" entry, or you took profit and want to re-enter.
The Signal: Look for the small Triangles (Medium signals). These often appear after a pullback when price resumes the main trend.
Logic: If the main KAMA trend is still green/red, but the "Strong" signal isn't firing, a Triangle indicates a safe place to add to a position.
⚠️ Pyramiding & Risk Management (Advanced)
The EQ Lines (Fast/Medium/Slow) are designed for a tiered position management strategy:
Entry: Open position (e.g., 0.03 lots).
First Take Profit: When price extends far beyond EQ1 (Fast) , lock in partial profits.
Trailing Stop: Move your Stop Loss to trace the EQ2 (Medium) line.
Trend Riding: Hold the "Runner" portion of your position until price closes back under EQ3 (Slow) or the KAMA line.
Tip: Use William Fractals (Period 2) to pinpoint exact swing highs/lows for tightening stops.
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Presets & Optimized Settings
To make this "Plug & Play," I have included optimized presets in the settings for different trading styles.
(If you don't see some parameters, that means they are turned off in trading mode)
⚡ SCALPER (1m - 5m)
KAMA:
ER: 100
Fast Length: 15
Slow Length: 30
FVG:
Size %: 0.01
Trend Detection:
Length: 20
Breakout:
Lookback Period: 10
S/R Detection:
Pivot Length: 10
Tolerance: 0.3
SMC EQ:
Default: 10
EQ1: 10
EQ2 (Main): 30
EQ3: 120
Signal Strength:
Strong: 4
Medium: 3
📊 INTRADAY (15m - 1H)
KAMA:
ER: 100
Fast Length: 5
Slow Length: 30
Trend Detection:
Length: 100
Breakout:
Lookback Period: 30
S/R Detection:
Pivot Length: 20
Tolerance: 0.5
SMC EQ:
Default: 10
EQ1: 10
EQ2 (Main): 40
EQ3: 80
Signal Strength:
Strong: 4
Medium: 3
📈 SWING (4H - 1D)
KAMA:
ER: 30
Fast Length: 4
Slow Length: 30
Trend Detection:
Length: 50
Breakout:
Lookback Period: 20
S/R Detection:
Pivot Length: 30
Tolerance: 0.7
SMC EQ:
Default: 10
EQ1: 10
EQ2: 50
EQ3 (Main): 60
Signal Strength:
Strong: 4
Medium: 3
💼 INVESTOR (4H - 1D+)
KAMA:
ER: 30
Fast Length: 5
Slow Length: 10
Trend Detection:
Length: 100
Breakout:
Lookback Period: 50
S/R Detection:
Pivot Length: 30
Tolerance: 0.7
SMC EQ:
Default: 10
EQ1: 10
EQ2: 50
EQ3 (Main): 100
Signal Strength:
Strong: 4
Medium: 3
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Notes
FVG (Fair Value Gaps): Optional. Enable if you trade volatile assets like Crypto/Gold where imbalances are common.
Support/Resistance: The built-in Pivot system is optional. Disable it if you prefer drawing your own levels to keep the chart clean.
Recommended Pairing:
For best results, pair this with a momentum oscillator like RSI to detect the range regime of a trend. Or DI+ and DI- (when it crosses over each other, that means the "range of possible" regime change of a trend).
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Disclaimer:
This tool is for informational purposes only. "Confluence" increases probability but does not guarantee results. Always manage your risk.
VIOP Scalping - OriginalVIOP Scalping – Original is a rule-based scalping strategy ported from an original C# logic set. It aims to trade only when trend direction, momentum, and trend strength align, then manages the position using fixed take-profit/stop-loss percentages with an optional trailing mechanism to protect gains during favorable moves.
This strategy is provided for educational and backtesting purposes only. It is not financial advice and does not guarantee profitability. Always test thoroughly before any live usage.
Core Concept
Follow the dominant WMA trend, confirm momentum with EMA separation, filter conditions with RSI + ADX, then exit using fixed TP/SL with trailing behavior after a defined profit threshold.
How the Strategy Works
Trend Direction is defined by WMA: above WMA = long bias, below WMA = short bias.
Momentum is measured via Fast EMA vs Slow EMA and the EMA difference.
Trend Strength is confirmed using ADX (must exceed a threshold).
RSI filters trades to avoid entering when momentum is likely overextended or weak.
A no-trade session blocks entries during a predefined time window (default 09:30–10:05).
Exit logic uses fixed percent TP/SL, with an optional trailing mechanism that activates after a profit threshold.
Inputs and Settings
Trend and Indicator Settings
Main Trend WMA: Determines directional bias (price above = long, price below = short).
Fast EMA / Slow EMA: Used to measure momentum and directional separation.
RSI Period: Filters entries based on RSI range constraints.
ADX Period: Measures trend strength (must exceed threshold to allow entries).
Threshold Settings
EMA Difference Threshold: Minimum EMA separation required to validate momentum.
ADX Threshold: Minimum ADX required to confirm trend strength.
RSI Long Ceiling: RSI must remain below this value for long entries.
RSI Short Floor: RSI must remain above this value for short entries.
Risk Management Settings
Take Profit %: Default TP distance in percent.
Strong Trend Take Profit %: Higher TP used when a “strong trend” condition is detected.
Stop Loss %: Fixed SL distance in percent.
Trailing Activation %: Profit threshold at which trailing starts.
Trailing Distance %: Trailing offset distance used once trailing is active.
Time Filter
No-Trade Hours: Default session is 09:30–10:05. During this window, the strategy does not open new trades.
Entry Logic
No-Trade Time Filter
If the current bar falls inside the no-trade session, entries are blocked.
Long Entry Conditions
Price is above the WMA trend line.
EMA difference is positive and greater than the EMA Difference Threshold.
EMA momentum is increasing (current EMA diff > previous EMA diff).
RSI is within the defined range (RSI > 48 and RSI < RSI Long Ceiling).
Close is higher than the previous close.
ADX is above the ADX Threshold.
Short Entry Conditions
Price is below the WMA trend line.
EMA difference is negative and lower than -EMA Difference Threshold.
Bearish momentum is increasing (current EMA diff < previous EMA diff).
RSI is within the defined range (RSI < 52 and RSI > RSI Short Floor).
Close is lower than the previous close.
ADX is above the ADX Threshold.
Strong Trend Logic (Dynamic TP Selection)
If price is far from the WMA (absolute distance > 20 points) AND EMA separation is strong (absolute EMA diff > 1.5 points), the strategy treats the environment as a strong trend.
In strong trend mode, the strategy uses “Strong Trend Take Profit %” instead of the default “Take Profit %”.
Exit Management (TP/SL + Trailing)
The strategy uses fixed percentage-based TP and SL levels.
Trailing logic is enabled via strategy.exit and activates only after price moves in profit by the defined Trailing Activation %.
Once activated, trailing follows price using the defined Trailing Distance % offset.
This is designed to secure partial gains during extended moves while still allowing room for continuation.
What You See on the Chart
WMA Trend Line (Main Trend Filter).
Fast EMA and Slow EMA (Momentum Confirmation).
Strategy entry/exit markers generated by TradingView.
Recommended Use
Scalping systems that rely on trend-following and momentum confirmation.
Markets where ADX filtering helps avoid choppy conditions.
Traders who want a simple, parameter-driven TP/SL system with trailing after confirmation.
Important Notes
The no-trade session depends on your chart/session settings. Ensure your symbol/session configuration matches your intended market hours.
Percent-based exits scale with price; results will vary across instruments and volatility regimes.
Always validate behavior using bar replay, forward testing, and realistic commission/slippage assumptions.
