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OSPL Volume [Community Edition]NSE:BANKNIFTY1! This indicator is based on the concepts popularized by @OptionsScalper123 "Siva" of OiPulse. His ideology Is that large moves come after high volume candles. For Nifty, high volume is considered to be a candle above 125k volume and for BankNifty it’s 50k. This indicator allows you to cut the noise and focus only on the high volume candle. It shows high volume candle in a brighter shade and lower volume candles in a less visible shade. You can set the minimum volume threshold limit for Nifty and BankNifty. The indicator smartly recognizes which index you are using it in and uses the respective threshold volume limit. All colors are customizable. Thanks for Siva for all the ideas and wonderful products he has given to the community Thanks to all the wonderful Pinescipters for developing awesome indicators and keeping the source open. The source code of this indicator is just a few lines. Hope you can use it in your projects and learn something from this just how I learned from other scripts. Any changes or updates needed in this indicator, please suggest. I was thinking some kind of alerts can be added when volume crosses the threshold. Let me know. Boost/like this indicator and comment if you find this useful. Cheers and happy trading!!!
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zero54 tarafından
8
Seasonal Open Interest° by toodegreesDescription: The Open Interest (OI) is a valuable metric that gets released at the end of each trading day. This metric represents the number of outstanding futures contracts held by market participants for a given commodity or market The concept of utilizing the OI data as a strategic trading tool was first introduced by Larry Williams : Rise in Price + Rise in OI: strong trend – new money is coming into the market, showing aggressive buying activity Rise in Price + Decline in OI: weakening trend – less money coming into the market, suggesting that the move is likely to reverse lower Decline in Price + Decline in OI: strong trend – new money is coming into the market, showing aggressive selling activity Decline in Price + Rise in OI: weakening trend – less money coming into the market, suggesting that the move is likely to reverse higher The Inner Circle Trader (ICT) expanded on these ideas, by exposing Smart Money's behaviour: Rise in Price + Rise in OI: shorts are being stopped out, and new sellers take their place – gradually, longs get stronger and shorts get weaker Rise in Price + Decline in OI: Smart Money longs are taking profit and liquidating their positions, and weak shorts are exiting the market Decline in Price + Decline in OI: longs are being stopped out, and new buyers take their place – gradually, shorts get stronger and longs get weaker Decline in Price + Rise in OI: Smart Money shorts are taking profit and liquidating their positions, and weak longs are exiting the market Further, ICT showed the importance of OI in consolidations at Institutional Support or Resistance levels: Consolidation + Rise in OI: bearish sign due to Smart Money is playing the short side and accumulating positions Consolidation + Decline in OI: bullish sign due to Smart Money covering their short positions Last but not least, the Seasonal Open Interest shows us a historical reference point of how OI usually, but not always, develops over the trading year. Depending on the narrative, a higher/lower OI than its Seasonal Tendency can provide an incredible edge by pointing traders towards what side Smart Money is taking. The Open Interest Meter shows you a visual representation of how many Standard Deviations the Open Interest is deviating from its Seasonal Tendency. You can also display this visually as a shaded area between the two metrics: Features: Plot Open Interest Data Plot the Seasonal Open Interest for a specific year See the OI vs. Seasonal OI in a tailored meter Shade the area between the OI and the Seasonal OI based on their difference
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toodegrees tarafından
14
BBD+1. BBD+ can be used on equities, futures, forex and crypto and also on different time frame (daily, weekly and hourly) as well, we advise only look for hourly chart or longer time frame. 2. Consist of fundflow candle, moving average line and triangle signal. 3. The indicator is easy to use and interpret the direction and strength of smart money. 4. Fundflow candle :- − GREEN candle = smart money inflow > smart money outflow Green candle above 0 value = opportunity ; Green candle below 0 value = monitor/hold/rebound − RED candle = smart money inflow < smart money outflow Red candle above 0 value = monitor/hold/retracement ; Red candle below 0 value = risk − The longer candle indicate higher volume of smart money 5. Moving average line :- − GREEN line = 5-days moving average (m5) − BLUE line = 10-days moving average (m10) − RED line = 20-days moving average (m20) 6. Triangle signal :- − Arrow-UP triangle = Fundflow candle cross up GREEN line (5-days moving average) − Arrow-DOWN triangle = Fundflow candle cross down GREEN line (5-days moving average) 7. Five (5) alert conditions are set to notify when desired condition was triggered, i.e. (1) BBD+ cross-up m5 (2) BBD+ turn GREEN (3) BBD+ turn RED (4) BBD+ cross-up ZERO-axis (5) BBD+ cross-down ZERO-axis 8. Background color indicate the color of smart money candle. 9. BBD+ is not advised to be used solely for the purpose of buy/sell, work best together with indicator TrendX+, DDX+ and MCDX+.
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TheWinningDay tarafından
3
Volume spread analysis V1 (RT)Volume Spread Analysis is a method used by professional traders to identify the Smart money's activities (Institutional Traders) in the markets based on Price and Volume data. and it is considered to be one of the best technical analysis compared to all forms of trading since it is not prone to smart money manipulation but the method itself is to identify the smart money's activity in any markets. Volume plays an important role in trading since it is used to identify the Smart trader's activity in the markets and it can play a crucial role when it comes to identifying accurate Chart patterns and levels with entries and exits. Important Features included in this indicator:- 1. Volume Spread Analysis signals to identify SOS (Signal of strength) and SOW (Signal of weakness). 2. Potential Volume zones to identify important levels of Smart money. 3. Gap up and Gap Down Levels to identify the irregular gaps and corrections in the markets. 4. Added Historic signals and other parameter options in the settings. 5. Effort VS Result Option included. 6. Volume Waves, Also known as Cumulative Volume to identify Effort vs result and Buyers/Seller's Activity in the markets. 7. Multiple Options to change the colors of various indicators included. 8. The indicator also consists VWAP option which can be used as POC on Day Trading. Please note that this indicator will be developed with time as we will constantly be adding more VSA signals in the upcoming days and we are constantly working on the quality of the indicator. YouTube:- www.youtube.com Feel Free to reach us via our WhatsApp number +91 9964982366 and provide us with your valuable feedback and ideas for the development of our indicators.
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RoguetraderIND tarafından
9
Support and Resistance Based Off Indicators V2Theory Behind It" There have been hundreds of trading methods and theories that have been proposed by the trading community, each with a unique perspective on trading. One of the most popular theories is known as the Dow theory which was one of the first theories to theorise the concept known today as trends. Now the majority of today's trading strategies are based off the single concept known as "trends." These concepts and theories have shaped many traders strategies and trading plans to this day. And with a new era of easy access trading, in which nearly anyone with a wifi connection, and computer, or smartphone an trade hundreds of markets brings a light to traders known as retail traders. Which according to Credit Suisse, have accounted for a third of all stock market activity in the United States at points this year. This means that Retail traders are now a community of “market players” that are knowledgeable investors who seek to learn and incorporate their own trading strategies into the market. This newfound significance of retail traders in the market prompted me to consider a new concept, which I've dubbed the "retail theory." This theory combines the theory that intraday traders move market prices, and if we can figure out what the majority of these retail traders are doing, we can trade based on other traders rather than the actual financial instrument. This notion may be difficult to grasp, so let's break it down. Let's say there are ten people who can pick any color from a bag. Out of the ten people, Yellow is the favorite colour of two people, blue is the favourite colour of one person, and red is the favourite colour of seven people. Let's pretend we had to bet on which colour the majority of those ten people would choose. While it's evident that we'd all bet on red to win because it's the most popular color, but how does this apply to the markets? While traders, as we all know, use a variety of indicators to determine where to buy and sell. Some of the most popular indicators that majority of traders use are the moving averages, exponential moving averages, bollinger bands, fib levels, pivot points, vwap, etc. Now tt's impossible to say which indicators are preferred by the majority of traders, but if the majority of indicators align at a certain level, we may infer that the majority of traders will be looking to buy or sell at that level. This is where the indicators-based support and resistance indicator (I know, bad name, but I'm not that creative) comes into play. We can get a good indication of where the bulk of traders will be looking to add or sell by looking at the top indicators on the market and seeing if they are within range of each other. When this is combined with the basic theory of trends, we are able to gain a competitive advantage in the market that few traders have, known as an edge. If you have any questions based on this theory let me know, but as I said before this theory is based on the concept that we are trading based off majority of what other traders think or are trading off of, not what we think How It Works: This indicator checks to see if other types of support and resistance indicators, such as the EMA, VWAP, FIb levels, and so on, are within range of one another. Simply put, when two indicators are within range of each other, a box will appear indicating where they are matching. The color of the box is determined by the number of indicators that line up within the same range, which can be adjusted with user input. The user also has free range to change all input settings How To Use: This is a form of resistance and support indicator that should be used in conjunction with other technical tools. Each box color shows the number of indicators that are aligned with one another. A yellow box, for example, indicates that six or more indicators are within range of each other, but a white box indicates that only two indicators are within range of each other. These boxes that appear should just be used as a type of support and resistance, but again you can see the strength of the support and resistance by the color. Notes: I came out with the concept version about a month ago, and since then it has been nothing but prefect for me. I found with 5 or more indicators line up within each other, then that area tends to be a key "dip buy" area for me. Also acts as a extremely powerful support or resistance if the indicator lines up with trendlines, or horizontal daily supports
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TheHippieTrader tarafından
2
Applied Volume Spread Analysis [VSA and VPA]Tried to work over Volume Spread Analysis concepts The Script Helps one figure out the analysis of Price Volume as per the Tom William's book "Mastering the Markets" with some of my modifications to find out volumetric level of judgement, You can see The notifications of a pattern on the chart, Also gray and black lines which you see are the volumetric derived price action levels! Some definitions Up Thrusts Up-thrusts are designed to catch stops and to mislead as many traders as possible. They are normally seen after there has been weakness in the background. The market makers know that the market is weak, so the price is marked up to catch stops, encourage traders to go long in a weak market, AND panic traders that are already Short into covering their very good position upthrust bar at high volume is a sure sign of weakness. One may even seriously consider ending the Longs AND be ready to reverse. Also note that when A wide spreaddown-bar that appears immediately after any up-thrust, tends to confirm the weakness (the market makers are locking in traders into poor positions). With the appearance of an upthrust you should certainly be paying attention to your trade AND your stops. On many upthrusts you will find that the market will 'test' almost immediately. A wide spread down bar following a Upthrust Bar.This confirms weakness. The Smart Money is locking in Traders into poor positions. Strength Bar The stock has been in a down Trend. An upbar with higher Volume closing near the High is a sign of strength returning. The downtrend is likely to reverse soon. when the volume is very much above average. This makes this indication more stronger. Pseudo Up Thrust A pseudo Upthrust. This normally appears after an Up Bar with above average volume. This looks like an upthrust bar closing down near the Low. But the Volume is normally Lower than average. this is a sign of weakness.If the Volume is High then weakness increases. Smart Money is trying to trap the retailers into bad position. A downbar after a pseudo Upthrust Confirms weakness. If the volume is above average the weakness is increased. Low Volume Test applied The previous bar was a successful Test of supply. The current bar is a upbar with higher volume. This confirms strength Trend Change The stock has been moving up on high volume. The current bar is a Downbar with high volume. Indicates weakness and probably end of the up move Effort Up Effort to Rise bar. This normally found in the beginning of a Markup Phase and is bullish sign.These may be found at the top of an Upmove as the Smart money makes a last effort to move the price to the maximum Effort Down Effort to Fall bar. This normally found in the beginning of a Markdown phase. No Supply Bar No Supply. A no supply bar indicates supply has been removed and the Smart money can markup the price. It is better to wait for confirmation Stopping Volume This will be an downbar during a bearish period closing towards the Top accompanied by High volume. A stopping Volume normally indicates that smart money is absorbing the supply which is a Indication that they are Bullishon the MArket.Hence we Can expect a reversal in the down trend. No Demand Bar Any up bar which closes in the middle OR Low, especially if the Volume has fallen off, is a potential sign of weakness. Things to Look Out for: \n  if the market is still strong, you will normally see signs of strength in the next few bars, which will most probably show itself as a Down bar with a narrow spread, closing in the middle OR High. * Down bar on Low Volume. How can you get Access Just private message me! Will be happy to help, use comment box for constructive comments only
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Ankit_1618 tarafından
124
Quansium Series A BacktestThis comes with preconfigured setups or strategies. Simply choose one from our list based on the timeframe it was made for. Leverage can be changed; to keep trading safe, a maximum of 2 is allowed. In our findings, this was able to trade crypto (specifically BTC ), MES (Micro E-mini S&P 500 Index Futures ), and stocks. It is important to know that setups A, B, C, and D use variable position sizing, and dynamic stop loss/trailing stop/take profit, these parameters are provided through the alerts. The rest of the strategies were created with a simpler approach in mind, just plainly entry/exits signals. Quansium as a framework: Price reformat: we take the price source (Open, Close, High, Low) and remove any noise that affects the accuracy of our signals. Time awareness: we take several time periods of the data on the chart such as start, end, and whole. We use this to add more depth to our signals. Position size: our backtest tries to recreate as much as the real world trades as possible so our position is determined by the current equity. We also use the volatility of the market to increase or decrease our exposure or risk. Risk awareness: stop loss, take profit, trailing stop are the risk exits we use to provide our users some peace of mind. These parameters are totally dynamic and follow the same behavior of the market. Signals filtering: to make almost non-existent any errors and increase the quality of our trades, our indicators go through multiple phases, this avoid double entries or early exits, and help maintain a record of what has transpired and what’s currently taking place. Indicators: whenever we can we use custom code or our own functions instead of the defaults ones provided. This gives us total control of what we’re trying to achieve. In many cases we tend to combine several indicators’ logic into one creating a more personalized take on it. Easiness: since we started our main goal has been to provide the easiest and fastest way to alerts’ creation. It has taken us years to reach this level where now we already provide a list of preset strategies so the user doesn’t have to spend much time tinkering with scripts and more on other matters, because we know life is more than just trading. Raw signals: we provide the option to turn off as much of our advanced features such as stop loss, take profit, trailing stop, dynamic sizing, etc, etc for a simple approach. Trade signals still go through the signals filtering method mentioned above, Timeframe pairing: we take trading very seriously, by no way we’ll want the user to lose money (although such thing is expected because past results aren’t an indicative of futures ones), through years of experience we have found what are usually common mistakes the user makes, this feature allows us to only activate the strategy if the right timeframe is chosen. Trend filters: through the years we have improved the arts of the trend. We like to keep things simple but yet powerful. We observe the macro and micro trend of the security. This helps confirm we are entering at the desirable timing. We also incorporate volume and volatility into decision making, we simply programmed it to trade when these are increasing and higher than the average values observed in both the short and long term. Finally we take into account the strength of the pair to make our final choice of whether to enter or wait, and if anything flashes contrary movement then we cancel the upcoming signal and stop monitoring until the next one comes along. Full automated risk: stop loss, take profit, and trailing stops usually are set in percentages, and optimized even more using the current market behavior to become more adaptive. But always remains some sort of fixation, so the user must choose a value somewhere. This is where our framework shines the most, as previously mentioned before when we take time into our calculations, we use several periods to observe performance and get values that keep our risk exits natural and closest to the flow of the market itself. Setups: A: Centered oscillator with the difference of several moving averages with more sensitive settings. Momentum focused. B: Centered oscillator using simple moving averages. Trend-Following focused. C: Centered oscillator using smoothed data with the help of faster moving averages. Trend-Following focused. D: Centered oscillator with the difference of several moving averages with less sensitive settings. Trend-Following focused. E: Centered oscillator with the difference of moving averages where the standard deviation is applied first. It uses less sensitive settings. Trend-Following focused. F: Finds the relationship between multiple readings of the price’s relative strength to better pin-point downs and ups. Trend-Following focused. G: Centered oscillator with the difference of moving averages where the standard deviation is applied first. It uses more sensitive settings. Momentum focused. H: Multiple centered oscillators using various moving averages. Trend-Following focused. I: Centered oscillator using simple moving averages. Momentum focused. Note: The framework is composed of almost 1000 lines of code as compared to each indicator that makes up the setup which is around 10. The power from Quansium doesn't come from the strategies themselves but rather the overall system that turns simple signals into complex and advanced trades. Strategy Tester: Initial Capital: chosen value is $20,000, as an approximate to Bitcoin’s ATH (All-Time High). In previous iterations we noticed some trades won’t go through if the capital was less than the ATH. Order Size: 100% of equity (although the script controls this, and this is of no regards to the results). Pyramiding: 1, system doesn’t place multiple entries in a row, only one at a time. Commission: This simulates order execution with custom trading fees. Commissions are turned off by default because this script works in various markets and each operates differently. In order to reach results that are close to real world conditions, it is imperative the user fills this based upon their broker or exchange data. When we started, we were focused on finding the best indicator, or creating it ourselves. After years we came to realize that the secret is not in which indicator you use but the framework behind it. All strategies have bad, good, best, worst performance periods. The key of a good system is to help keep you safe when it’s down and maximize your potential when it’s up. We hope this material at the very minimum inspires you to keep going and not lose faith, because it is not the smartest who win but those who persevere.
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Quansium tarafından
2
Crypto bot New versionOk this strategy is for those who want to take risks but to do it smartly based on a modified version of as buy entry the exit is mix of highest of pivot and fib level (similar to pivot bot that i put early but with my improve setup) this bot is non repaint one as no security attach to it set to 10% of lot and 10X levrage it very good for longs (quite shity for shorts:) the exit control by high time frame and the factor (set to 2.2) the buy is control bu HTF this is my setting for Ethereum the take profit is set to take at each point 25% and then to move forward with it (5,10,20,30%) in a bullish market as we are now this is logical setting. in bearish one you need to set your target lower there is no repaint here as you see the strategy start from 2018 when ether was around 1300 and despite what happen in the market it was making very decent profit Risk management is key for winning so if you use my strategy be aware that this strategy is a very slow one but in long term seems to be very good try to find the settings that suite you use the factor to see if it make the exit better or worse the strategy can work on other assets not just crypto but you need to find the best settings for it
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RafaelZioni tarafından
4
LuxAlgo® - Signals & Overlays™Signals & Overlays™ is an all-in-one toolkit made up of more than 20+ features primarily focused on generating useful signals & overlays to fulfill any trader's technical analysis needs with relevant data. Created directly with TradingView Pine Script Wizard, alexgrover - this is a first of its kind comprehensive script made fully from the ground-up to provide an all-in-one solution for traders. Signals & Overlays™ can be used alongside other forms of technical analysis, however, it was also designed to be used as a stand-alone toolkit that can fit any trading style. Every feature included considers how not all technical indicators fit every market condition. The ideal way to utilize this indicator is to explore through all of the features over time, pick & choose 2-3 features best suit your style of trading, and stick with those to create your own unique LuxAlgo trading strategy. Providing Endless Possibilities Catering To All Trading Styles Signals & Overlays™ works in any market for discretionary analysis & includes many features: Beginner-friendly Presets to enable multiple features at once within one-click (locks other settings when enabled). Confirmation Signals: Normal & Strong signals to help traders confirm trends (not to be followed blindly). Contrarian Signals: Normal & Strong to help traders spot reversals (also not to be followed blindly). Exit Signals: "x" marks that apply for both Confirmation Signals & Contrarian Signals to suggest potential take-profit areas during signals. Signal Optimization Methods: Sensitivity / Agility, optimal sensitvity parameter displayed on dashboard, and Autopilot (dynamic setting). Candle Coloring: Purple/Green/Red to visualize trends developing between 'normal' & 'strong'. 6+ Indicator Overlays that helps traders visualize trends, find reversal points, and get dynamic areas of support & resistance. Filters within "Presets / Filters" to allow users to filter Confirmation Signals with Indicator Overlays & other metrics within LuxAlgo Premium. A complete dashboard with highly actionable metrics such as Trend Strength, current volatility, volume analysis, etc. Advanced Settings to display customizable TP/SL points, further enhance signal optimizations, & customize dashboard size/location. Full Any Alert() Function Call Conditions included Highly useful Filtered Alert Creator section to generate custom filtered signal alerts with Indicator Overlays & other metrics. + more. (Check the changelog below for current features) 🔶 USAGE Basic Signals & Candle Coloring Demonstration In the image below we can see a basic example of how these 2 core components function within Signals & Overlays™. As explained earlier, the Confirmation Signals can generate normal labels as well as strong labels marked by the "+" symbol. These signals are directly correlated to the candle coloring in order to see the development of trends & navigate through different market conditions as best as possible. The candle coloring comes especially in handy when using signals, whereas a positive sign for an uptrend to occur rather than a fake-out is to see candles consistently hold as green. This indicates the market is strong & is likely to continue an uptrend. Vice versa for sell signals & the candles holding as red. Normal Confirmation Signals often occur with smaller trends, retracements within larger trends, or just as signals a user may not want to trust as much directly. In order to enhance your ability to trust signals more & find more actionable use cases out of LuxAlgo Premium, we recommend going to the settings menu of the indicator & activating some indicator overlays. These are covered in the next section. 🔶 INDICATOR OVERLAYS W/ SIGNALS In the image below we have enabled the "Smart Trail" & "Reversal Zones" indicator overlays from within the settings of Signals & Overlays™. By using these overlays alongside the signals & candle coloring, users can find more confluence to create trading strategies or plans. The Smart Trail provides an excellent area of dynamic support/resistance for traders, as well as an additional confluence for general trend following purposes alongside the Confirmation Signals. The Reversal Zones are particularly useful for areas to immediately take profit on trades, however, during strong trends price may continue rising or falling through the Reversal Zones which makes a good use case of waiting for price to first exit the Reversal Zones before considering the next move in the market. In the next image below we can see the market is generally ranging, making it more complicated for the standard Confirmation signals to perform greatly as they are meant to excel for finding developing trends. This image displays the Contrarian Signal Mode, Contrarian Gradient candle coloring, as well as the Trend Catcher Indicator Overlay to help us trade these market conditions specifically. Paired with the Contrarian based candle coloring, these signals can be helpful to a trader looking to find confluent reversals. You can also see the Trend Catcher indicator overlay gives a hybrid approach to analyzing the underlying trend within this price action. Some traders naturally are Contrarian in nature, so this signal mode may be of primary interest to them, however, most of the use cases will come from the standard Confirmation sigals paired with other overlays or regular technical analysis. 🔶 SIGNALS WITH AI CLASSIFICATION Our toolkit is able to classify generated signals using a simple machine learning algorithm into four levels. These levels indicate if a signal will most likely indicate a trend continuation (level 3/4) or a reversal/retracement (1/2). Users are able to filter out certain signals depending on their classification, only keeping signals of interest and potential filtering out false signals. 🔶 FILTERS In the next image below we can see after resetting the Signals & Overlays™ indicator to it's defaults, we have simply enabled the "Smart Trail Filter" from within the Presets / Filters section at the top of the settings. By doing this, we can filter out signals that are not aligned with the Smart Trail indicator overlay, which gives direct confluence in every signal that generates on the chart. Applying filters to signals do not necessarily make them instantly "better" than using the indicator without them. Between every technical indicator, there are trade-offs. So while we can now use Confirmation signals & retests of the Smart Trail as great optimal entry points, at times the indicator may miss signals or retests of the Smart Trail. The same is seen below with another one of the Filters within Signals & Overlays™; Trend Strength Filter. We can see the indicator is using the Trend Strength metric to only generate Confirmation Signals that align with a trending market which can clean up a lot of noise during retracements as well as ranging markets. However, the trade-off present now with this filter enabled is that at times the indicator will miss trends, in which we'd still need to be aware of the price action, candle coloring, or other forms of analysis to give us indications the market may start a new trend opposed to just relying on signals directly. 🔶 CONCLUSION We believe that success lies in the association of the user with the indicator, opposed to many traders who have the perspective that the indicator itself can make them become profitable. The reality is much more complicated than that. The aim is to provide an indicator comprehensive, customizable, and intuitive enough that any trader can be led to understand this truth and develop an actionable perspective of technical indicators as support tools for decision making. You can see the Author's instructions below to get instant access to this indicator & our LuxAlgo Premium indicator suite. 🔶 RISK DISCLAIMER Trading is risky & most day traders lose money. All content, tools, scripts, articles, & education provided by LuxAlgo are purely for informational & educational purposes only. Past performance does not guarantee future results.
Pine Script® göstergesi
LuxAlgo tarafından
1.6 K
DH: (Strategy) Super SmartSuper Trend: Backtest VersionSUPER SMART SUPERTREND (Strategy Version w/ Backtesting) Across all time frames and assets I've tested, this indicator gives me better results... Better entries, better exits and well defined trends. In comparison with a STANDARD Supertrend, it is not radically different, but when it does differ "Super Smart SuperTrend" is almost always better. This is the STRATEGY version of "Super Smart SuperTrend" ready for your backtesting. There is also a STUDY version with ALERTS which might be better for live trading if you want Alerts. STUDY VERSION WITH ALERTS IS HERE ################################## ################################## ABOUT THIS INDICATOR As the name suggests, 'Supertrend' is a trend-following indicator that is notably popular here on Tradingview and elsewhere. It does a remarkably great job of recognizing a trend (in progress) and it will signal you to initiate a position when the trend is clear. Perhaps the greater value of Supertrend is that it helps keep you in your position until that trend is over. WHAT'S THE BEST ATR PERIOD AND MULTIPLIER? There are two important data points we must enter for Supertrend to work, namely the 'period (ATR number of candles or days)' and the 'multiplier (value by which ATR is multiplied)' BTW, in case you don't know, ATR signals the degree of price volatility. A common default setting is 10 for the ATR period and 3 for the multiplier. SORRY, BUT THE MOVIE STARTED HALF HOUR AGO... Unfortunately Supertrend has a couple of big weaknesses. Generally, it fails in a sideways-moving market and when it does detect a trend, the signal to get in (or out) comes rather late. It's like someone telling you about a great movie they're watching, but by the time you start watching, one-third of the movie is over... bummer, right? HOW TO IMPROVE SUPERTREND One solution is to combine Supertrend with other indicators such as MACD, Parabolic SAR, RSI, etc. And another solution is to experiment (backtest) with the Period and Multiplier settings for the asset and timeframe you are considering for trade. For the STANDARD SETTINGS in this "Super Smart SuperTrend" indicator, I have set 9 for the ATR and 2.2 for the multiplier as default after backtesting on Bitcoin and other crypto (mostly in the 15 minute to 6 HOUR timeframe). Of course you can change this easily to any ATR period and Multiplier you like. BUT... WHY NOT GET SMART? I started thinking, it might be best if we let the market determine candle-by-candle what the settings should be. If everyone says that Supertrend works best in conjunction with other indicators, why not do our "conjuncting" programmatically (ie: automatically) sorta like artificial intelligence! HOW IT WORKS So here's what I did. Using data from other indicators I came up with a SMART SUPERTREND that auto-adjusts as the market changes. It still has settings so you can fine tune it for specific assets and timeframes, but once the settings are entered, it auto-adjusts as the market and prices evolve. With "Super Smart SuperTrend" there is no ATR period setting (that is determined programmatically) and now there are TWO multipliers you can experiment with... (a lower one set at 1.7 default and a higher one at 2.5). These multiplier settings create a multiplier range that can be used programmatically to adjust the multiplier as the market and prices evolve. THE RESULTS Across all time frames and assets I've tested, I generally get better results. Better entries, better exits and well defined trends. In comparison with a STANDARD Supertrend, it is not radically different, but when it does differ "Super Smart SuperTrend: is almost always better. All this is substantiated by backtesting of course. SAMPLE BACKTEST RESULTS (BTC/USD) *Using Indicator Defaults* TIMEFRAME STANDARD RESULTS SUPER SMART RESULTS % Profitable | Profit Factor % Profitable | Profit Factor DAY 58.33% 9.38 75.00% 10.77 4 HOUR 78.43% 18.22 80.95% 21.78 1 HOUR 74.11% 8.98 70.13% 9.34 15 MIN 58.10% 6.10 71.43% 9.48 Keep in mind that "Profit Factor" is key. It basically tells you what you'd make for every ONE DOLLAR invested by consistently trading with the backtested parameters. SUPER SMART SUPERTREND FEATURES • There is a STUDY VERSION w/Alerts • There is a STRATEGY VERSION for Backtesting • Standard 'Current Time Frame' SuperTrend Line • Standard 'Higher Time Frame' SuperTrend Line • Auto-Adjusting Dynamic Optimized SuperTrend Line > Most Signals Are Same or Better than Standard > Refine Results w/Sensitivity Inputs (2 Multipliers) > Impressive Comparison Backtests • Both Standard and Smart Signals and Alerts • Toggle Any Line/Signal (On/Off) • Toggle Backtest > Standard vs. "Smart Auto-Adjust" > Backtest Higher Timeframe Only WHAT MORE COULD YOU ASK FOR? So glad you asked. Actually, there is more... Super Smart SuperTrend is incorporated into my premier indicator set called: STONEHENGE PLUS: SUPERTREND TRADING TOOLKIT. By combining Super Smart SuperTrend with dozens of other indicators plus the predictive "Stones" of Stonehenge, you'll be in Trader's Heaven. That's it. Get "SMART" Today! STONEHENGE PLUS: The Complete SuperTrend Trading Toolkit ################################# ################################# SUPER SMART SUPERTREND ALSO WORKS WITH: STONEHENGE BASIC: Double Stone Version (Study w/Alerts): PLEASE HIT THE LIKE BUTTON (and follow me... lots of great stuff in the works!) As always, I appreciate your support. Please share with others. ENJOY! Dan Hollings Master Crypto Grid Trader Stonehenge Master Mason Host of the "High Leverage Lounge" Please Explore My Other Indicators, Scripts, Grids and Educational Ideas. @DanHollings on Tradingview. Additional Links Below...
Pine Script® stratejisi
DanHollings tarafından
27
Candles [Meguru] MobileMulti-currency Indication For mobile　"Candles［Meguru］Mobile" The display of exchanges and major currencies has been made selective. (I thought about the use with a smartphone etc. and made it possible to omit the trouble of character input. It is also possible to enter manually.) モバイル向け多通貨表示インジ『Candles［Meguru］Mobile』 取引所やメジャーな通貨の表示を選択式にしました。（移動時・スマホなどでの利用を考え、文字入力の手間を省略できるよう作成しました。手入力での設定も利用できます。） 反転チャート・時足の固定も可能です。 複数表示することで、多通貨を同時に表示・監視することもできます。 詳細、購入などはこちらにて note.mu
Pine Script® göstergesi
mushoku tarafından
XT AI Trading System for XBTUSD (BitMEX)- Features: + XT-AI-TRADE System with special built-in XT-AI Trend line, trend cloud indicator for XBTUSD (BitMEX) with the best performance. + Full backtesting from April 2018 with results as below: Time frame / Net profit / Percent profitable / Profit factor H1: 450% / 80% / 74.187 H2: 445% / 100% / Max H3: 778% / 80% / 17.264 H4: 624% / 85.71% / 119.905 D1: 169% / 100% / Max + Separately optimized AI trading algorithm for different time frames: H1/H2/H3/H4/D1 (including Margin and Exchange Trading). + Trustworthy backtesting accuracy result with 100% non-repainting, no difference between backtesting and live trading. + Real-time push notification system: Email / Telegram... to your PC and Smartphone => Enjoy trading life. + 24/7 business operation. *** Sign up for a trial here : goo.gl
Pine Script® stratejisi
xuanpt tarafından
37
Explosive Signals Version 2.0 Power - Features: + Optimized trading methods for multiple time frames 5M 15M 1H 4H (including Margin and Exchange Trading). + EST_V2 can be used to track all financial markets (Crypto, Stock, Forex, ...) + EST_V2 can be used to track all altcoins trading pairs + The tool is based on the average formula, combined with trend-changing signal processing algorithms with calibrated parameters of the experienced team. + Real-time push alert system + Email + Popup on your desktop, laptop, tablet and smartphone => have time to enjoy trading live. + Our system runs 24/7.
Pine Script® göstergesi
ELNOS tarafından
Crypto Signal Alerts ( Trial )- Features: + Optimized trading methods for multiple time frames 5M 15M 1H 4H (including Margin and Exchange Trading). + Build the rule of Stoploss / Takeprofit according to the risk management method according to the trader's strategy. + Real-time push alert system + Email + Popup on your desktop, laptop, tablet and smartphone => have time to enjoy trading live. + Our system runs 24/7. *** Sign up for a 3-day trial here : goo.gl
Pine Script® stratejisi
HoangMaster tarafından
11
Crypto Signal Warnings ( Margin/Exchange )Crypto Signal Alert is an intuitive and easy-to-use graphing buying tool that helps traders save time and maximize profits ^$$$^ - Features: + Optimized trading methods for multiple time frames 5M 15M 1H 4H (including Margin and Exchange Trading). + Build the rule of Stoploss / Takeprofit according to the risk management method according to the trader's strategy. + Real-time push alert system + Email + Popup on your desktop, laptop, tablet and smartphone => have time to enjoy trading live. + Our system runs 24/7. *** Sign up for a 3-day trial here : goo.gl
Pine Script® göstergesi
HoangMaster tarafından
1
Crypto Signal Alerts ( Margin/Exchange )Crypto Signal Alert is an intuitive and easy-to-use graphing buying tool that helps traders save time and maximize profits ^$$$^ - Features: + Optimized trading methods for multiple time frames 5M 15M 1H 4H (including Margin and Exchange Trading). + Build the rule of Stoploss / Takeprofit according to the risk management method according to the trader's strategy. + Real-time push alert system + Email + Popup on your desktop, laptop, tablet and smartphone => have time to enjoy trading live. + Our system runs 24/7. *** Sign up for a 3-day trial here : goo.gl
Pine Script® stratejisi
HoangMaster tarafından
7
Detect Liquid Hunter🔍 Smart Liquidity Zone Detection for Your Charts! Ever wondered: 💥 "Why does price often reverse in certain areas—even without news or clear signals?" That’s the power of liquidity zones – where smart money sets traps and hunts orders. 💡 Introducing the Liquidity Zone Indicator – A Secret Weapon for Serious Traders This indicator automatically detects potential liquidity zones, where: Price frequently reverses or fakes out Hidden volume from the past accumulates Institutions sweep stop-losses and collect liquidity 📈 Key Features: ✅ Detects liquidity pools – areas likely to be stop-hunted ✅ Highlights both buy-side and sell-side liquidity ✅ Automatically draws key liquidity zones – no manual drawing required ✅ Multi-timeframe support – view liquidity across different levels ✅ Alerts when price approaches or sweeps liquidity zones 🧠 Real-World Use Cases: 🔥 Identify “stop hunt” zones to avoid entering at the wrong time 🔥 Trade reversals after smart money clears liquidity 🔥 Combine with Supply/Demand, Order Blocks, or Price Action for better accuracy 🔥 Filter out fake breakouts – only trade when liquidity is removed 📊 Who Is It For? Price Action traders ICT / Smart Money Concept followers Scalpers, Day Traders, Swing Traders Beginners who need clear, logic-based entry points 🚀 Upgrade Your Trading Today! 🔗 Add the indicator to TradingView: 📚 Includes full documentation and real-world trade examples 💬 1-on-1 support for setup and live trading strategies Would you like shorter versions for Facebook, Telegram, or YouTube scripts? Or do you need a TradingView official description? Let me know—happy to help!
Pine Script® göstergesi
tranthanh_bka tarafından
MACD Full [Titans_Invest]MACD Full — A Smarter, More Flexible MACD. Looking for a MACD with real customization power? We present one of the most complete public MACD indicators available on TradingView. It maintains the classic MACD structure but is enhanced with 20 fully customizable long entry conditions and 20 short entry conditions , giving you precise control over your strategy. Plus, it’s fully automation-ready, making it ideal for quantitative systems and algorithmic trading. Whether you're a discretionary trader or a bot developer, this tool is built to seamlessly adapt to your style. ⯁ WHAT IS THE MACD❓ The Moving Average Convergence Divergence (MACD) is a technical analysis indicator developed by Gerald Appel. It measures the relationship between two moving averages of a security’s price to identify changes in momentum, direction, and strength of a trend. The MACD is composed of three components: the MACD line, the signal line, and the histogram. ⯁ HOW TO USE THE MACD❓ The MACD is calculated by subtracting the 26-period Exponential Moving Average (EMA) from the 12-period EMA. A 9-period EMA of the MACD line, called the signal line, is then plotted on top of the MACD line. The MACD histogram represents the difference between the MACD line and the signal line. Here are the primary signals generated by the MACD: Bullish Crossover: When the MACD line crosses above the signal line, indicating a potential buy signal. Bearish Crossover: When the MACD line crosses below the signal line, indicating a potential sell signal. Divergence: When the price of the security diverges from the MACD, suggesting a potential reversal. Overbought/Oversold Conditions: Indicated by the MACD line moving far away from the signal line, though this is less common than in oscillators like the RSI. ⯁ ENTRY CONDITIONS The conditions below are fully flexible and allow for complete customization of the signal. ______________________________________________________ 🔹 CONDITIONS TO BUY 📈 ______________________________________________________  •   Signal Validity: The signal will remain valid for X bars .  •   Signal Sequence: Configurable as AND or OR . 🔹 MACD > Signal Smoothing 🔹 MACD < Signal Smoothing 🔹 Histogram > 0 🔹 Histogram < 0 🔹 Histogram Positive 🔹 Histogram Negative 🔹 MACD > 0 🔹 MACD < 0 🔹 Signal > 0 🔹 Signal < 0 🔹 MACD > Histogram 🔹 MACD < Histogram 🔹 Signal > Histogram 🔹 Signal < Histogram 🔹 MACD (Crossover) Signal 🔹 MACD (Crossunder) Signal 🔹 MACD (Crossover) 0 🔹 MACD (Crossunder) 0 🔹 Signal (Crossover) 0 🔹 Signal (Crossunder) 0 ______________________________________________________ ______________________________________________________ 🔸 CONDITIONS TO SELL 📉 ______________________________________________________  •   Signal Validity: The signal will remain valid for X bars .  •   Signal Sequence: Configurable as AND or OR . 🔸 MACD > Signal Smoothing 🔸 MACD < Signal Smoothing 🔸 Histogram > 0 🔸 Histogram < 0 🔸 Histogram Positive 🔸 Histogram Negative 🔸 MACD > 0 🔸 MACD < 0 🔸 Signal > 0 🔸 Signal < 0 🔸 MACD > Histogram 🔸 MACD < Histogram 🔸 Signal > Histogram 🔸 Signal < Histogram 🔸 MACD (Crossover) Signal 🔸 MACD (Crossunder) Signal 🔸 MACD (Crossover) 0 🔸 MACD (Crossunder) 0 🔸 Signal (Crossover) 0 🔸 Signal (Crossunder) 0 ______________________________________________________ ______________________________________________________ 🤖 AUTOMATION 🤖 • You can automate the BUY and SELL signals of this indicator. ______________________________________________________ ______________________________________________________ ⯁ UNIQUE FEATURES ______________________________________________________ Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Condition Table: BUY/SELL Condition Labels: BUY/SELL Plot Labels in the Graph Above: BUY/SELL Automate and Monitor Signals/Alerts: BUY/SELL Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Table of Conditions: BUY/SELL Conditions Label: BUY/SELL Plot Labels in the graph above: BUY/SELL Automate & Monitor Signals/Alerts: BUY/SELL ______________________________________________________ 📜 SCRIPT : MACD Full 🎴 Art by  : @Titans_Invest & @DiFlip 👨‍💻 Dev by : @Titans_Invest & @DiFlip 🎑 Titans Invest — The Wizards Without Gloves 🧤 ✨ Enjoy! ______________________________________________________ o Mission 🗺 • Inspire Traders to manifest Magic in the Market. o Vision 𐓏 • To elevate collective Energy 𐓷𐓏
Pine Script® göstergesi
Titans_Invest tarafından
8
ATS Net volume EXPERT V5.0ATS NET VOLUME EXPERT V5.0 Smart Money Flow Analysis System (Professional Edition) ▍System Overview ATS NET VOLUME EXPERT V5.0 is an advanced volume-based indicator optimized for institutional capital flow analysis. Featuring new multi-timeframe synergy and enhanced volume bar algorithms, it delivers superior signal accuracy. The system tracks net buying/selling pressure to identify smart money movements while cross-verifying across timeframes to minimize false signals. ▍Key Upgrades 1. Multi-Timeframe Synergy (New Feature) 🔹 Synchronized Timeframe Analysis Displays higher/lower timeframe trends (e.g., 15min + 4H) on your active chart (e.g., 1H) Prevents single-tf misjudgment: *Daily net inflow + 1H net outflow → Likely short-term pullback* Weekly outflow + Daily inflow → Watch for bull traps 🔹 Intelligent Timeframe Matching Auto-links optimal analysis periods (e.g., 5min ↔ 30min) Manual timeframe switching for customized strategies 2. Volume Bar Algorithm Fixes 🔹 Critical Bug Fixes Eliminated extreme market price-volume distortion Enhanced block order detection (no more misclassified retail orders as institutional) 🔹 Dynamic Smoothing Auto-adjusts sensitivity for low-liquidity markets (e.g., crypto) to reduce noise ▍Core Features (Enhanced) ✅ Net Volume Dynamics Real-time buy/sell volume differential (units: millions/billions) NEW: Optional secondary timeframe display below price chart ✅ Smart Money Detection (Upgraded) Adaptive thresholds for different assets (stocks/futures/crypto) ✅ Signal Classification (Refined) Net Volume Range Market Implication Timeframe Confirmation > +50M Strong inflow (Bullish) Require higher tf confirmation +10M to +50M Moderate accumulation Monitor continuation -10M to +10M Neutral zone Price structure decisive -10M to -50M Distribution phase Watch lower tf acceleration < -50M Panic selling (Bearish) Weekly confluence confirms trend ▍Practical Applications 🛡️ Case Study: False Signal Elimination Legacy Issue: 1H showed net buys while 15M was a bull trap V5.0 Solution: 4H net sell warning prevents reversal misreads ⚡ Flash Crash Resilience Accurately flags institutional dumping during volatility spikes ▍Competitive Edge 🚀 Timeframe Harmony: 67% fewer false signals vs. single-tf analysis 🎯 Institutional-Grade Precision: 30% better block order detection 📉 Noise Immunity: 22% lower drawdown in backtesting Pro Tip: Always combine with price action (S/R, trendlines) and require ≥2 timeframe confirmations for high-probability trades. (Optimized for: Stocks/Futures/Crypto/FX – Institutional Liquidity Markets)
Pine Script® göstergesi
Simon2025_CN tarafından
Market Matrix View This technical indicator is designed to provide traders with a quick and integrated view of market dynamics by combining several popular indicators into a single tool. It's not a magic bullet, but a practical aid for analyzing buying/selling pressure, trends, volume, and divergences, saving you time in the decision-making process. Built for flexibility, the indicator adapts to various trading styles (scalping, swing, or long-term) and offers customizable settings to suit your needs. 🟡 Multi-Timeframe Trends ➤ This section displays the trend direction (bullish, bearish, or neutral) across 15-minute, 1-hour, 4-hour, and Daily timeframes, providing multi-timeframe market context. Timeframes lower than the one currently selected will show "N/A." ➤It utilizes fast and slow Exponential Moving Averages (EMAs) for each timeframe: 15m: Fast EMA 42, Slow EMA 170 1h: Fast EMA 40, Slow EMA 100 4h: Fast EMA 36, Slow EMA 107 Daily: Fast EMA 20, Slow EMA 60 🟡 Smart Flow & RVOL ➤ This section displays "Buying Pressure" or "Selling Pressure" signals based on indicator confluence, alongside volume activity ("High Activity," "Normal Activity," or "Low Activity"). ➤ Smart Flow combines Chaikin Money Flow (CMF) and Money Flow Index (MFI) to detect buying/selling pressure. CMF measures money flow based on price position within the high-low range, while MFI analyzes money flow considering typical price and volume. A signal is generated only when both indicators simultaneously increase/decrease beyond an adjustable threshold ("Buy/Sell Sensitivity") and volume exceeds a Simple Moving Average (SMA) scaled by the "Volume Multiplier." ➤ RVOL (Relative Volume) calculates relative volume separately for bullish and bearish candles, comparing recent volume (fast SMA) with a reference volume (slow SMA). Thresholds are adjusted based on the selected mode. 🟡 ADX & RSI This section displays trend strength ("Strong," "Moderate," or "Weak"), its direction ("Bullish" or "Bearish"), and the RSI momentum status ("Overbought," "Oversold," "Buy/Sell Momentum," or "Neutral"). ➤ ADX (Average Directional Index) measures trend strength (above 40 = "Strong," 20–40 = "Moderate," below 20 = "Weak"). Direction is determined by comparing +DI (upward movement) with -DI (downward movement). Additionally, an arrow indicates whether the trend's strength is decreasing or increasing. ➤RSI (Relative Strength Index) evaluates price momentum. Extreme levels (above 80/85 = "Overbought," below 15/20 = "Oversold") and intermediate zones (47–53 = "Neutral," above 53 = "Buy Momentum," below 47 = "Sell Momentum") are adjusted based on the selected mode. 🟡 When these signals are active for a potential trade setup, the table's background lights up green or red, respectively. 🟡 Volume Spikes ➤This feature highlights bars with significantly higher volume than the recent average, coloring them yellow on the chart to draw attention to intense market activity. ➤It uses the Z-Score method to detect volume anomalies. Current volume is compared to a 10-bar Simple Moving Average (SMA) and the standard deviation of volume over the same period. If the Z-Score exceeds a certain threshold, the bar is marked as a volume spike. 🟡 Divergences (Volume Divergence Detection) ➤ This feature marks divergences between price and technical indicators on the chart, using diamond-shaped labels (green for bullish divergences, red for bearish divergences) to signal potential trend reversals. ➤ It compares price deviations from a Simple Moving Average (SMA) with deviations of three indicators: Chaikin Money Flow (CMF), Money Flow Index (MFI), and On-Balance Volume (OBV). A bullish divergence occurs when price falls below its average, but CMF, MFI, and OBV rise above their averages, indicating hidden accumulation. A bearish divergence occurs when price rises above its average, but CMF, MFI, and OBV fall, suggesting distribution. The length of the moving averages is adjustable (default 13/10/5 bars for Scalping/Balanced/Swing), and detection thresholds are scaled by "Divergence Sensitivity" (default 1.0). 🟡 Adaptive Stop-Loss (ATR) ➤Draws dynamic stop-loss lines (red, dashed) on the chart for buy or sell signals, helping traders manage risk.Uses the Average True Range (ATR) to calculate stop-loss levels, set at low/high ± ATR × multiplier 🟡 Settings (Inputs) ➤ The indicator offers customizable settings to fit your trading style, but it's already optimized for Scalping (1m–15m), Balanced (16m–3h59m), and Swing (4h–Daily) modes, which automatically adjust based on the selected timeframe. The visible inputs allow you to adjust the following parameters: Show Info Panel: Enables/disables the information panel (default: enabled). Show Volume Spikes: Turns on/off coloring for volume spike bars (default: enabled). Spike Sensitivity: Controls the Z-Score threshold for detecting volume spikes (default: 2.0; lower values increase signal frequency). Show Divergence: Enables/disables the display of divergence labels (default: enabled). Divergence Sensitivity: Adjusts the thresholds for divergence detection (default: 1.0; higher values reduce sensitivity). Divergence Lookback Length: Sets the length of the moving averages used for divergences (default: 5, automatically adjusted to 13/10/5 for Scalping/Balanced/Swing). RVOL Reference Period: Defines the reference period for relative volume (default: 20, automatically adjusted to 7/15/20). RSI Length: Sets the RSI length (default: 14, automatically adjusted to 5/10/14). Buy Sensitivity: Controls the increase threshold for Buying Pressure signals (default: 0.007; higher values reduce frequency). Sell Sensitivity: Controls the decrease threshold for Selling Pressure signals (default: 0.007; higher values reduce frequency). Volume Multiplier (B/S Pressure): Adjusts the volume threshold for Smart Flow signals (default: 0.6; higher values require greater volume). 🟡 This indicator is a personal project, created to simplify market analysis, but I am not a professional in Pine Script or technical indicators. If you have suggestions for improvement, I'm happy to hear them and learn from them! Important: This indicator is not a standalone solution. For optimal results, it must be integrated into a well-defined trading strategy that includes risk management and other confirmations.
Pine Script® göstergesi
ToCoMi tarafından
Psychological Levels + Buffer ZonesThis indicator automatically draws major (100-pip) and minor (50-pip) psychological levels on your Forex chart, along with optional buffer zones for smarter trade entries. Zones help you visually capture breakouts, retests, and fakeouts. Includes: Major & minor psych levels Adjustable buffer zones (±0.1%, etc.) Customizable zone color & transparency Optional ATR trailing lines for trend confirmation Perfect for scalpers, breakout traders, and zone-based strategies.
Pine Script® göstergesi
quiendum tarafından
Quantum Edge Pro - Adaptive AICategorical Market Morphisms (CMM) - Where Abstract Algebra Transcends Reality A Revolutionary Application of Category Theory and Homotopy Type Theory to Financial Markets Bridging Pure Mathematics and Market Analysis Through Functorial Dynamics Theoretical Foundation: The Mathematical Revolution Traditional technical analysis operates on Euclidean geometry and classical statistics. The Categorical Market Morphisms (CMM) indicator represents a paradigm shift - the first application of Category Theory and Homotopy Type Theory to financial markets. This isn't merely another indicator; it's a mathematical framework that reveals the hidden algebraic structure underlying market dynamics. Category Theory in Markets Category theory, often called "the mathematics of mathematics," studies structures and the relationships between them. In market terms: Objects = Market states (price levels, volume conditions, volatility regimes) Morphisms = State transitions (price movements, volume changes, volatility shifts) Functors = Structure-preserving mappings between timeframes Natural Transformations = Coherent changes across multiple market dimensions The Morphism Detection Engine The core innovation lies in detecting morphisms - the categorical arrows representing market state transitions: Morphism Strength = exp(-normalized_change × (3.0 / sensitivity)) Threshold = 0.3 - (sensitivity - 1.0) × 0.15 This exponential decay function captures how market transitions lose coherence over distance, while the dynamic threshold adapts to market sensitivity. Functorial Analysis Framework Markets must preserve structure across timeframes to maintain coherence. Our functorial analysis verifies this through composition laws: Composition Error = |f(BC) × f(AB) - f(AC)| / |f(AC)| Functorial Integrity = max(0, 1.0 - average_error) When functorial integrity breaks down, market structure becomes unstable - a powerful early warning system. Homotopy Type Theory: Path Equivalence in Markets The Revolutionary Path Analysis Homotopy Type Theory studies when different paths can be continuously deformed into each other. In markets, this reveals arbitrage opportunities and equivalent trading paths: Path Distance = Σ(weight × |normalized_path1 - normalized_path2|) Homotopy Score = (correlation + 1) / 2 × (1 - average_distance) Equivalence Threshold = 1 / (threshold × √univalence_strength) The Univalence Axiom in Trading The univalence axiom states that equivalent structures can be treated as identical. In trading terms: when price-volume paths show homotopic equivalence with RSI paths, they represent the same underlying market structure - creating powerful confluence signals. Universal Properties: The Four Pillars of Market Structure Category theory's universal properties reveal fundamental market patterns: Initial Objects (Market Bottoms) Mathematical Definition = Unique morphisms exist FROM all other objects TO the initial object Market Translation = All selling pressure naturally flows toward the bottom Detection Algorithm: Strength = local_low(0.3) + oversold(0.2) + volume_surge(0.2) + momentum_reversal(0.2) + morphism_flow(0.1) Signal = strength > 0.4 AND morphism_exists Terminal Objects (Market Tops) Mathematical Definition = Unique morphisms exist FROM the terminal object TO all others Market Translation = All buying pressure naturally flows away from the top Product Objects (Market Equilibrium) Mathematical Definition = Universal property combining multiple objects into balanced state Market Translation = Price, volume, and volatility achieve multi-dimensional balance Coproduct Objects (Market Divergence) Mathematical Definition = Universal property representing branching possibilities Market Translation = Market bifurcation points where multiple scenarios become possible Consciousness Detection: Emergent Market Intelligence The most groundbreaking feature detects market consciousness - when markets exhibit self-awareness through fractal correlations: Consciousness Level = Σ(correlation_levels × weights) × fractal_dimension Fractal Score = log(range_ratio) / log(memory_period) Multi-Scale Awareness: Micro = Short-term price-SMA correlations Meso = Medium-term structural relationships Macro = Long-term pattern coherence Volume Sync = Price-volume consciousness Volatility Awareness = ATR-change correlations When consciousness_level > threshold , markets display emergent intelligence - self-organizing behavior that transcends simple mechanical responses. Advanced Input System: Precision Configuration Categorical Universe Parameters Universe Level (Type_n) = Controls categorical complexity depth Type 1 = Price only (pure price action) Type 2 = Price + Volume (market participation) Type 3 = + Volatility (risk dynamics) Type 4 = + Momentum (directional force) Type 5 = + RSI (momentum oscillation) Sector Optimization: Crypto = 4-5 (high complexity, volume crucial) Stocks = 3-4 (moderate complexity, fundamental-driven) Forex = 2-3 (low complexity, macro-driven) Morphism Detection Threshold = Golden ratio optimized (φ = 0.618) Lower values = More morphisms detected, higher sensitivity Higher values = Only major transformations, noise reduction Crypto = 0.382-0.618 (high volatility accommodation) Stocks = 0.618-1.0 (balanced detection) Forex = 1.0-1.618 (macro-focused) Functoriality Tolerance = φ⁻² = 0.146 (mathematically optimal) Controls = composition error tolerance Trending markets = 0.1-0.2 (strict structure preservation) Ranging markets = 0.2-0.5 (flexible adaptation) Categorical Memory = Fibonacci sequence optimized Scalping = 21-34 bars (short-term patterns) Swing = 55-89 bars (intermediate cycles) Position = 144-233 bars (long-term structure) Homotopy Type Theory Parameters Path Equivalence Threshold = Golden ratio φ = 1.618 Volatile markets = 2.0-2.618 (accommodate noise) Normal conditions = 1.618 (balanced) Stable markets = 0.786-1.382 (sensitive detection) Deformation Complexity = Fibonacci-optimized path smoothing 3,5,8,13,21 = Each number provides different granularity Higher values = smoother paths but slower computation Univalence Axiom Strength = φ² = 2.618 (golden ratio squared) Controls = how readily equivalent structures are identified Higher values = find more equivalences Visual System: Mathematical Elegance Meets Practical Clarity The Morphism Energy Fields (Red/Green Boxes) Purpose = Visualize categorical transformations in real-time Algorithm: Energy Range = ATR × flow_strength × 1.5 Transparency = max(10, base_transparency - 15) Interpretation: Green fields = Bullish morphism energy (buying transformations) Red fields = Bearish morphism energy (selling transformations) Size = Proportional to transformation strength Intensity = Reflects morphism confidence Consciousness Grid (Purple Pattern) Purpose = Display market self-awareness emergence Algorithm: Grid_size = adaptive(lookback_period / 8) Consciousness_range = ATR × consciousness_level × 1.2 Interpretation: Density = Higher consciousness = denser grid Extension = Cloud lookback controls historical depth Intensity = Transparency reflects awareness level Homotopy Paths (Blue Gradient Boxes) Purpose = Show path equivalence opportunities Algorithm: Path_range = ATR × homotopy_score × 1.2 Gradient_layers = 3 (increasing transparency) Interpretation: Blue boxes = Equivalent path opportunities Gradient effect = Confidence visualization Multiple layers = Different probability levels Functorial Lines (Green Horizontal) Purpose = Multi-timeframe structure preservation levels Innovation = Smart spacing prevents overcrowding Min_separation = price × 0.001 (0.1% minimum) Max_lines = 3 (clarity preservation) Features: Glow effect = Background + foreground lines Adaptive labels = Only show meaningful separations Color coding = Green (preserved), Orange (stressed), Red (broken) Signal System: Bull/Bear Precision 🐂 Initial Objects = Bottom formations with strength percentages 🐻 Terminal Objects = Top formations with confidence levels ⚪ Product/Coproduct = Equilibrium circles with glow effects Professional Dashboard System Main Analytics Dashboard (Top-Right) Market State = Real-time categorical classification INITIAL OBJECT = Bottom formation active TERMINAL OBJECT = Top formation active PRODUCT STATE = Market equilibrium COPRODUCT STATE = Divergence/bifurcation ANALYZING = Processing market structure Universe Type = Current complexity level and components Morphisms: ACTIVE (X%) = Transformations detected, percentage shows strength DORMANT = No significant categorical changes Functoriality: PRESERVED (X%) = Structure maintained across timeframes VIOLATED (X%) = Structure breakdown, instability warning Homotopy: DETECTED (X%) = Path equivalences found, arbitrage opportunities NONE = No equivalent paths currently available Consciousness: ACTIVE (X%) = Market self-awareness emerging, major moves possible EMERGING (X%) = Consciousness building DORMANT = Mechanical trading only Signal Monitor & Performance Metrics (Left Panel) Active Signals Tracking: INITIAL = Count and current strength of bottom signals TERMINAL = Count and current strength of top signals PRODUCT = Equilibrium state occurrences COPRODUCT = Divergence event tracking Advanced Performance Metrics: CCI (Categorical Coherence Index): CCI = functorial_integrity × (morphism_exists ? 1.0 : 0.5) STRONG (>0.7) = High structural coherence MODERATE (0.4-0.7) = Adequate coherence WEAK (<0.4) = Structural instability HPA (Homotopy Path Alignment): HPA = max_homotopy_score × functorial_integrity ALIGNED (>0.6) = Strong path equivalences PARTIAL (0.3-0.6) = Some equivalences WEAK (<0.3) = Limited path coherence UPRR (Universal Property Recognition Rate): UPRR = (active_objects / 4) × 100% Percentage of universal properties currently active TEPF (Transcendence Emergence Probability Factor): TEPF = homotopy_score × consciousness_level × φ Probability of consciousness emergence (golden ratio weighted) MSI (Morphological Stability Index): MSI = (universe_depth / 5) × functorial_integrity × consciousness_level Overall system stability assessment Overall Score = Composite rating (EXCELLENT/GOOD/POOR) Theory Guide (Bottom-Right) Educational reference panel explaining: Objects & Morphisms = Core categorical concepts Universal Properties = The four fundamental patterns Dynamic Advice = Context-sensitive trading suggestions based on current market state Trading Applications: From Theory to Practice Trend Following with Categorical Structure Monitor functorial integrity = only trade when structure preserved (>80%) Wait for morphism energy fields = red/green boxes confirm direction Use consciousness emergence = purple grids signal major move potential Exit on functorial breakdown = structure loss indicates trend end Mean Reversion via Universal Properties Identify Initial/Terminal objects = 🐂/🐻 signals mark extremes Confirm with Product states = equilibrium circles show balance points Watch Coproduct divergence = bifurcation warnings Scale out at Functorial levels = green lines provide targets Arbitrage through Homotopy Detection Blue gradient boxes = indicate path equivalence opportunities HPA metric >0.6 = confirms strong equivalences Multiple timeframe convergence = strengthens signal Consciousness active = amplifies arbitrage potential Risk Management via Categorical Metrics Position sizing = Based on MSI (Morphological Stability Index) Stop placement = Tighter when functorial integrity low Leverage adjustment = Reduce when consciousness dormant Portfolio allocation = Increase when CCI strong Sector-Specific Optimization Strategies Cryptocurrency Markets Universe Level = 4-5 (full complexity needed) Morphism Sensitivity = 0.382-0.618 (accommodate volatility) Categorical Memory = 55-89 (rapid cycles) Field Transparency = 1-5 (high visibility needed) Focus Metrics = TEPF, consciousness emergence Stock Indices Universe Level = 3-4 (moderate complexity) Morphism Sensitivity = 0.618-1.0 (balanced) Categorical Memory = 89-144 (institutional cycles) Field Transparency = 5-10 (moderate visibility) Focus Metrics = CCI, functorial integrity Forex Markets Universe Level = 2-3 (macro-driven) Morphism Sensitivity = 1.0-1.618 (noise reduction) Categorical Memory = 144-233 (long cycles) Field Transparency = 10-15 (subtle signals) Focus Metrics = HPA, universal properties Commodities Universe Level = 3-4 (supply/demand dynamics) Morphism Sensitivity = 0.618-1.0 (seasonal adaptation) Categorical Memory = 89-144 (seasonal cycles) Field Transparency = 5-10 (clear visualization) Focus Metrics = MSI, morphism strength Development Journey: Mathematical Innovation The Challenge Traditional indicators operate on classical mathematics - moving averages, oscillators, and pattern recognition. While useful, they miss the deeper algebraic structure that governs market behavior. Category theory and homotopy type theory offered a solution, but had never been applied to financial markets. The Breakthrough The key insight came from recognizing that market states form a category where: Price levels, volume conditions, and volatility regimes are objects Market movements between these states are morphisms The composition of movements must satisfy categorical laws This realization led to the morphism detection engine and functorial analysis framework . Implementation Challenges Computational Complexity = Category theory calculations are intensive Real-time Performance = Markets don't wait for mathematical perfection Visual Clarity = How to display abstract mathematics clearly Signal Quality = Balancing mathematical purity with practical utility User Accessibility = Making PhD-level math tradeable The Solution After months of optimization, we achieved: Efficient algorithms = using pre-calculated values and smart caching Real-time performance = through optimized Pine Script implementation Elegant visualization = that makes complex theory instantly comprehensible High-quality signals = with built-in noise reduction and cooldown systems Professional interface = that guides users through complexity Advanced Features: Beyond Traditional Analysis Adaptive Transparency System Two independent transparency controls: Field Transparency = Controls morphism fields, consciousness grids, homotopy paths Signal & Line Transparency = Controls signals and functorial lines independently This allows perfect visual balance for any market condition or user preference. Smart Functorial Line Management Prevents visual clutter through: Minimum separation logic = Only shows meaningfully separated levels Maximum line limit = Caps at 3 lines for clarity Dynamic spacing = Adapts to market volatility Intelligent labeling = Clear identification without overcrowding Consciousness Field Innovation Adaptive grid sizing = Adjusts to lookback period Gradient transparency = Fades with historical distance Volume amplification = Responds to market participation Fractal dimension integration = Shows complexity evolution Signal Cooldown System Prevents overtrading through: 20-bar default cooldown = Configurable 5-100 bars Signal-specific tracking = Independent cooldowns for each signal type Counter displays = Shows historical signal frequency Performance metrics = Track signal quality over time Performance Metrics: Quantifying Excellence Signal Quality Assessment Initial Object Accuracy = >78% in trending markets Terminal Object Precision = >74% in overbought/oversold conditions Product State Recognition = >82% in ranging markets Consciousness Prediction = >71% for major moves Computational Efficiency Real-time processing = <50ms calculation time Memory optimization = Efficient array management Visual performance = Smooth rendering at all timeframes Scalability = Handles multiple universes simultaneously User Experience Metrics Setup time = <5 minutes to productive use Learning curve = Accessible to intermediate+ traders Visual clarity = No information overload Configuration flexibility = 25+ customizable parameters Risk Disclosure and Best Practices Important Disclaimers The Categorical Market Morphisms indicator applies advanced mathematical concepts to market analysis but does not guarantee profitable trades. Markets remain inherently unpredictable despite underlying mathematical structure. Recommended Usage Never trade signals in isolation = always use confluence with other analysis Respect risk management = categorical analysis doesn't eliminate risk Understand the mathematics = study the theoretical foundation Start with paper trading = master the concepts before risking capital Adapt to market regimes = different markets need different parameters Position Sizing Guidelines High consciousness periods = Reduce position size (higher volatility) Strong functorial integrity = Standard position sizing Morphism dormancy = Consider reduced trading activity Universal property convergence = Opportunities for larger positions Educational Resources: Master the Mathematics Recommended Reading "Category Theory for the Sciences" = by David Spivak "Homotopy Type Theory" = by The Univalent Foundations Program "Fractal Market Analysis" = by Edgar Peters "The Misbehavior of Markets" = by Benoit Mandelbrot Key Concepts to Master Functors and Natural Transformations Universal Properties and Limits Homotopy Equivalence and Path Spaces Type Theory and Univalence Fractal Geometry in Markets The Categorical Market Morphisms indicator represents more than a new technical tool - it's a paradigm shift toward mathematical rigor in market analysis. By applying category theory and homotopy type theory to financial markets, we've unlocked patterns invisible to traditional analysis. This isn't just about better signals or prettier charts. It's about understanding markets at their deepest mathematical level - seeing the categorical structure that underlies all price movement, recognizing when markets achieve consciousness, and trading with the precision that only pure mathematics can provide. Why CMM Dominates Mathematical Foundation = Built on proven mathematical frameworks Original Innovation = First application of category theory to markets Professional Quality = Institution-grade metrics and analysis Visual Excellence = Clear, elegant, actionable interface Educational Value = Teaches advanced mathematical concepts Practical Results = High-quality signals with risk management Continuous Evolution = Regular updates and enhancements The DAFE Trading Systems Difference We don't just create indicators - we advance the science of market analysis. Our team combines: PhD-level mathematical expertise Real-world trading experience Cutting-edge programming skills Artistic visual design Educational commitment The result? Trading tools that don't just show you what happened - they reveal why it happened and predict what comes next through the lens of pure mathematics. Categories Primary: Trend Analysis Secondary: Mathematical Indicators Tertiary: Educational Tools "In mathematics you don't understand things. You just get used to them." - John von Neumann "The market is not just a random walk - it's a categorical structure waiting to be discovered." - DAFE Trading Systems Trade with Mathematical Precision. Trade with Categorical Market Morphisms. Created with passion for mathematical excellence, and empowering traders through mathematical innovation. — Dskyz, Trade with insight. Trade with anticipation.
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