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[MAD] Position starter & calculatorThe tool you're using is a financial instrument trading planner and analyzer. Here is how to use it: Trade Planning: You can plan your trade entries and exits, calculating potential profits, losses, and their ratio (P/L ratio). You can define up to five target closing prices with varying volumes, which can be individually activated or deactivated (volume set to 0%). Risk Management: There's a stop-loss function to calculate and limit potential losses. Additionally, it includes a liquidation pre-calculation for adjustable leverages and position maintenance(subject to exchange variation). Customization: You can customize the tool's appearance with five adjustable color schemes, light and dark. ----------------- Initiation: This tool functions as an indicator. To start, add it as an indicator. Once added, you can close the indicator window. Now wait, till you'll see a blue box at the bottom of the input window. Parameter Input: Enter your parameters (SL, box left, box right, TP1, TP2, TP3, TP4, TP5) in the direction of the desired trade. Click from top to bottom for a short trade or bottom to top for a long trade. Adjustment: If you want to move the box in the future, adjust the times in the indicator settings directly as click input is not yet platform-supported. This tool functions as a ruler and doesn't offer alerts (for now). Here is another examples of how to set up a Position-calculation but here for a short: Have fun trading
Penunjuk Pine Script®
oleh djmad
16
Delta Volume Channels [LucF]█  OVERVIEW This indicator displays on-chart visuals aimed at making the most of delta ​volume information. It can color bars and display two channels: one for delta ​volume, another calculated from the price levels of bars where delta ​volume divergences occur. Markers and alerts can also be configured using key conditions, and filtered in many different ways. The indicator caters to traders who prefer chart visuals over raw values. It will work on historical bars and in real time, using intrabar analysis to calculate delta ​volume in both conditions. █  CONCEPTS Delta Volume ​The ​volume delta concept divides a bar's ​volume in "up" and "down" ​volumes. The delta is calculated by subtracting down ​volume from up ​volume. Many calculation techniques exist to isolate up and down ​volume within a bar. The simplest techniques use the polarity of interbar price changes to assign their ​volume to up or down slots, e.g., On Balance Volume or the Klinger Oscillator . Others such as Chaikin Money Flow use assumptions based on a bar's OHLC values. The most precise calculation method uses tick data and assigns the ​volume of each tick to the up or down slot depending on whether the transaction occurs at the bid or ask price. While this technique is ideal, it requires huge amounts of data on historical bars, which usually limits the historical depth of charts and the number of symbols for which tick data is available. This indicator uses intrabar analysis to achieve a compromise between the simplest and most precise methods of calculating ​volume delta. In the context where historical tick data is not yet available on TradingView, intrabar analysis is the most precise technique to calculate ​volume delta on historical bars on our charts. TradingView's Volume Profile built-in indicators use it, as do the CVD - Cumulative ​Volume Delta Candles and CVD - Cumulative Volume Delta (Chart) indicators published from the TradingView account . My Volume Delta Columns Pro indicator also uses intrabar analysis. Other ​volume delta indicators such as my Realtime 5D Profile use realtime chart updates to achieve more precise ​volume delta calculations. Indicators of that type cannot be used on historical bars however; they only work in real time. This is the logic I use to assign intrabar ​volume to up or down slots:  • If the intrabar's open and close values are different, their relative position is used.  • If the intrabar's open and close values are the same, the difference between the intrabar's close and the previous intrabar's close is used.  • As a last resort, when there is no movement during an intrabar and it closes at the same price as the previous intrabar, the last known polarity is used. Once all intrabars making up a chart bar have been analyzed and the up or down property of each intrabar's ​volume determined, the up volumes are added and the down volumes subtracted. The resulting value is ​volume delta for that chart bar, which can be used as an estimate of the buying/selling pressure on an instrument. Delta ​Volume Percent (DV%) This value is the proportion that delta ​volume represents of the total intrabar ​volume in the chart bar. Note that on some symbols/timeframes, the total intrabar ​volume may differ from the chart's ​volume for a bar, but that will not affect our calculations since we use the total intrabar ​volume. Delta ​Volume Channel The ​​DV channel is the space between two moving averages: the reference line and a DV%-weighted version of that reference. The reference line is a moving average of a type, source and length which you select. The DV%-weighted line uses the same settings, but it averages the DV%-weighted price source. The weight applied to the source of the reference line is calculated from two values, which are multiplied: DV% and the relative size of the bar's ​volume in relation to previous bars. The effect of this is that DV% values on bars with higher total ​volume will carry greater weight than those with lesser ​volume. The ​DV channel can be in one of four states, each having its corresponding color:  • Bull (teal): The DV%-weighted line is above the reference line.  • Strong bull (lime): The bull condition is fulfilled and the bar's close is above the reference line and both the reference and the DV%-weighted lines are rising.  • Bear (maroon): The DV%-weighted line is below the reference line.  • Strong bear (pink): The bear condition is fulfilled and the bar's close is below the reference line and both the reference and the DV%-weighted lines are falling. Divergences In the context of this indicator, a divergence is any bar where the slope of the reference line does not match that of the DV%-weighted line. No directional bias is assigned to divergences when they occur. Divergence Channel The divergence channel is the space between two levels (by default, the bar's low and high ) saved when divergences occur. When price has breached a channel and a new divergence occurs, a new channel is created. Until that new channel is breached, bars where additional divergences occur will expand the channel's levels if the bar's price points are outside the channel. Prices breaches of the divergence channel will change its state. Divergence channels can be in one of five different states:  • Bull (teal): Price has breached the channel to the upside.  • Strong bull (lime): The bull condition is fulfilled and the ​DV channel is in the strong bull state.  • Bear (maroon): Price has breached the channel to the downside.  • Strong bear (pink): The bear condition is fulfilled and the ​DV channel is in the strong bear state.  • Neutral (gray): The channel has not been breached. █  HOW TO USE THE INDICATOR Load the indicator on an active chart (see here if you don't know how). The default configuration displays:  • The ​DV channel, without the reference or DV%-weighted lines.  • The Divergence channel, without its level lines.  • Bar colors using the state of the ​DV channel. The default settings use an Arnaud-Legoux moving average on the close and a length of 20 bars. The DV%-weighted version of it uses a combination of DV% and relative ​volume to calculate the ultimate weight applied to the reference. The DV%-weighted line is capped to 5 standard deviations of the reference. The lower timeframe used to access intrabars automatically adjusts to the chart's timeframe and achieves optimal balance between the number of intrabars inspected in each chart bar, and the number of chart bars covered by the script's calculations. The Divergence channel's levels are determined using the high and low of the bars where divergences occur. Breaches of the channel require a bar's low to move above the top of the channel, and the bar's high to move below the channel's bottom. No markers appear on the chart; if you want to create alerts from this script, you will need first to define the conditions that will trigger the markers, then create the alert, which will trigger on those same conditions. To learn more about how to use this indicator, you must understand the concepts it uses and the information it displays, which requires reading this description. There are no videos to explain it. █  FEATURES The script's inputs are divided in four sections: "DV channel", "Divergence channel", "Other Visuals" and "Marker/Alert Conditions". The first setting is the selection method used to determine the intrabar precision, i.e., how many lower timeframe bars (intrabars) are examined in each chart bar. The more intrabars you analyze, the more precise the calculation of DV% results will be, but the less chart coverage can be covered by the script's calculations. DV Channel Here, you control the visibility and colors of the reference line, its weighted version, and the DV channel between them. You also specify what type of moving average you want to use as a reference line, its source and length. This acts as the ​DV channel's baseline. The DV%-weighted line is also a moving average of the same type and length as the reference line, except that it will be calculated from the DV%-weighted source used in the reference line. By default, the DV%-weighted line is capped to five standard deviations of the reference line. You can change that value here. This section is also where you can disable the relative ​volume component of the weight. Divergence Channel This is where you control the appearance of the divergence channel and the key price values used in determining the channel's levels and breaching conditions. These choices have an impact on the behavior of the channel. More generous level prices like the default low and high selection will produce more conservative channels, as will the default choice for breach prices. In this section, you can also enable a mode where an attempt is made to estimate the channel's bias before price breaches the channel. When it is enabled, successive increases/decreases of the channel's top and bottom levels are counted as new divergences occur. When one count is greater than the other, a bull/bear bias is inferred from it. Other Visuals You specify here:  • The method used to color chart bars, if you choose to do so.  • The display of a mark appearing above or below bars when a divergence occurs.  • If you want raw values to appear in tooltips when you hover above chart bars. The default setting does not display them, which makes the script faster.  • If you want to display an information box which by default appears in the lower left of the chart.   It shows which lower timeframe is used for intrabars, and the average number of intrabars per chart bar. Marker/Alert Conditions Here, you specify the conditions that will trigger up or down markers. The trigger conditions can include a combination of state transitions of the ​DV and the divergence channels. The triggering conditions can be filtered using a variety of conditions. Configuring the marker conditions is necessary before creating an alert from this script, as the alert will use the marker conditions to trigger. Markers only appear on bar closes, so they will not repaint. Keep in mind, when looking at markers on historical bars, that they are positioned on the bar when it closes — NOT when it opens. Raw values The raw values calculated by this script can be inspected using a tooltip and the Data Window. The tooltip is visible when you hover over the top of chart bars. It will display on the last 500 bars of the chart, and shows the values of ​DV, DV%, the combined weight, and the intermediary values used to calculate them. █  INTERPRETATION The aim of the ​DV channel is to provide a visual representation of the buying/selling pressure calculated using delta ​volume. The simplest characteristic of the channel is its bull/bear state. One can then distinguish between its bull and strong bull states, as transitions from strong bull to bull states will generally happen when buyers are losing steam. While one should not infer a reversal from such transitions, they can be a good place to tighten stops. Only time will tell if a reversal will occur. One or more divergences will often occur before reversals. The nature of the divergence channel's design makes it particularly adept at identifying consolidation areas if its settings are kept on the conservative side. A gray divergence channel should usually be considered a no-trade zone. More adventurous traders can use the ​DV channel to orient their trade entries if they accept the risk of trading in a neutral divergence channel, which by definition will not have been breached by price. If your charts are already busy with other stuff you want to hold on to, you could consider using only the chart bar coloring component of this indicator: At its simplest, one way to use this indicator would be to look for overlaps of the strong bull/bear colors in both the ​DV channel and a divergence channel, as these identify points where price is breaching the divergence channel when buy/sell pressure is consistent with the direction of the breach. I have highlighted all those points in the chart below. Not all of them would have produced profitable trades, but nothing is perfect in the markets. Also, keep in mind that the circles identify the visual you would be looking for — not the trade's entry level. █  LIMITATIONS  • The script will not work on symbols where no ​volume is available. An error will appear when that is the case.  • Because a maximum of 100K intrabars can be analyzed by a script, a compromise is necessary between the number of intrabars analyzed per chart bar   and chart coverage. The more intrabars you analyze per chart bar, the less coverage you will obtain.   The setting of the "Intrabar precision" field in the "DV channel" section of the script's inputs   is where you control how the lower timeframe is calculated from the chart's timeframe. █  NOTES Volume Quality If you use ​volume, it's important to understand its nature and quality, as it varies with sectors and instruments. My Volume X-ray indicator is one way you can appraise the quality of an instrument's intraday ​volume. For Pine Script™ Coders  • This script uses the new overload of the fill() function which now makes it possible to do vertical gradients in Pine. I use it for both channels displayed by this script.  • I use the new arguments for plot() 's `display` parameter to control where the script plots some of its values,   namely those I only want to appear in the script's status line and in the Data Window.  • I wrote my script using the revised recommendations in the Style Guide from the Pine v5 User Manual. █  THANKS To PineCoders . I have used their lower_tf library in this script, to manage the calculation of the LTF and intrabar stats, and their Time library to convert a timeframe in seconds to a printable form for its display in the Information box. To TradingView's Pine Script™ team. Their innovations and improvements, big and small, constantly expand the boundaries of the language. What this script does would not have been possible just a few months back. And finally, thanks to all the users of my scripts who take the time to comment on my publications and suggest improvements. I do not reply to all but I do read your comments and do my best to implement your suggestions with the limited time that I have.
Penunjuk Pine Script®
oleh LucF
50
FOTSI - Open sourceI WOULD LIKE TO SPECIFY TWO THINGS: - The indicator was absolutely not designed by me, I do not take any credit and much less I want them, I am just making this fantastic indicator open source and accessible to all - The script code was not recycled from other indicators, but was created from 0 following the theory behind it to the letter, thus avoiding copyright infringement - Advices and improvements are accepted, as having very little programming experience in Pine Script I consider this work still rough and slow WHAT IS THE FOTSI? The FOTSI is an oscillator that measures the relative strength of the individual currencies that make up the 28 major Forex exchanges. By identifying the currencies that are in the overbought (+50) and oversold (-50) areas, it is possible to anticipate the correction of a currency pair following a strong trend. THE THEORY BEHIND 1) At the base of everything is the 1-period momentum (close-open) of the single currency pairs that contain a certain currency. For example, the momentum of the USD currency is composed of all the exchange rates that contain the US dollar inside it: mom_usd = - mom_eurusd - mom_gbpusd + mom_usdchf + mom_usdjpy - mom_audusd + mom_usdcad - mom_nzdusd. Where the base currency is in second position, the momentum is subtracted instead of adding it. 2) The IST formula is applied to the momentum of the individual currencies obtained. In this way we get an oscillator that oscillates between 0 and its overbought and oversold areas. The area between +25 and -25 is an area in which we can consider the movements of individual currencies to be neutral. 3) The TSI is nothing more than a double smoothing on the momentum of individual currencies. This particularity makes the indicator very reactive, minimizing the delays of the trend reversal. HOW TO USE 1) A currency is identified that is in the overbought (+50) or oversold (-50) area. Example GBP = 50 2) The second currency is identified as the one most opposite to the first. Example USD = -25 3) The currency pair consisting of the two currencies opens. So GBP / USD 4) Considering that GBP is oversold, we anticipate its future devaluation. So in this case we are short on GBP / SUD. Otherwise if GBP had been oversold (-50) we expect its future valuation and therefore we enter long. 5) It is used on the H1, H4 and D1 timeframes 6) Closing conditions: the position on the 50-period exponential moving average is split / the position at target on the 100-period exponential moving average is closed 7) Stoploss: it is recommended not to use it, if you want to use it it is equivalent to 5 times the ATR on the reference timeframe 8) Position sizing: go very slow! Being a counter-trend strategy, it is very risky to position yourself heavily. Use common sense in everything! 9) To insert the alerts that warn you of an overbought and oversold condition, it is necessary to enter the signals called "Overbought Signal" and "Oversold Signal" for each chart used, in the specific Trading View window. like me using multiple charts in the same window. I hope you enjoy my work. For any questions write in the comments. Thanks <3 //-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- TENGO A PRECISARE DUE COSE: - L'indicatore non è stato assolutamente ideato da me, non mi assumo nessun merito e tanto meno li voglio, io sto solo rendendo questo fantastico indicatore open source ed accessibile a tutti - Il codice dello script non è stato riciclato da altri indicatori, ma è stato creato da 0 seguendo alla lettere la teoria che sta alla sua base, evitando così di violare il copyright - Si accettano consigli e migliorie, visto che avendo pochissima esperienza di programmazione in Pine Script considero questo lavoro ancora grezzo e lento COS'È IL FOTSI? Il FOTSI è un oscillatore che misura la forza relativa delle singole valute che compongono i 28 cambi major del Forex. Individuando le valute che si trovano nelle aree di ipercomprato (+50) ed ipervenduto (-50) , è possibile anticipare la correzione di una coppia valutaria al seguito di un forte trend. LA TEORIA ALLA BASE 1) Alla base di tutto c'è il momentum ad 1 periodo (close-open) delle singole coppie valutarie che contengono una determinata valuta. Ad esempio il momentum della valuta USD è composto da tutti i cambi che contengono il dollaro americano al suo interno: mom_usd = - mom_eurusd - mom_gbpusd + mom_usdchf + mom_usdjpy - mom_audusd + mom_usdcad - mom_nzdusd . Ove la valuta base si trova in seconda posizione si sottrae il momentum al posto che sommarlo. 2) Si applica la formula del TSI ai momentum delle singole valute ottenute. In questo modo otteniamo un oscillatore che oscilla tra lo 0 e le sue aree di ipercomprato ed ipervenduto. L'area compresa tra +25 e -25 è un area in cui possiamo considerare neutri i movimenti delle singole valute. 3) Il TSI non è altro che un doppio smoothing sul momentum delle singole valute. Questa particolarità rende l'indicatore molto reattivo, minimizzando i ritardi dell'inversione del trend. COME SI USA 1) Si individua una valuta che si trova nell'area di ipercomprato (+50) o ipervenduto (-50) . Esempio GBP = 50 2) Si individua come seconda valuta quella più opposta alla prima. Esempio USD = -25 3) Si apre la coppia di valuta composta dalle due valute. Quindi GBP/USD 4) Considerando che GBP è in fase di ipervenduto prevediamo una sua futura svalutazione. Quindi in questo caso entriamo short su GBP/SUD. Diversamente se GBP fosse stato in fase di ipervenduto (-50) ci aspettiamo una sua futura valutazione e quindi entriamo long. 5) Si usa sui timeframe H1, H4 e D1 6) Condizioni di chiusura: si smezza la posizione sulla media mobile esponenziale a 50 periodi / si chiude la posizione a target sulla media mobile esponenziale a 100 periodi 7) Stoploss: è consigliato non usarlo, nel caso lo si voglia utilizzare esso equivale a 5 volte l'ATR sul timeframe di riferimento 8) Position sizing: andateci molto piano! Essendo una strategia contro trend è molto rischioso posizionarsi in modo pesante. Usate il buonsenso in tutto! 9) Per inserire gli allert che ti avvertono di una condizione di ipercomprato ed ipervenduto, è necessario inserire dall'apposita finestra di Trading View i segnali denominati "Segnale di ipercomprato" ed "Segnale di ipervenduto" per ogni grafico che si usa, nel caso come me che si utilizzano più grafici nella stessa finestra. Spero che possiate apprezzare il mio lavoro. Per qualsiasi domanda scrivete nei commenti. Grazie<3
Penunjuk Pine Script®
oleh stefanopanetta-sph28
66
Indicators all in oneHello Everyone . Sometimes we need some indicators and each one needs seperated window. with this tool we can see indicators by choosing it from pull down menu, in the same window. Currently you can choose RSI, MACD, Commodity Channel Index (CCI), Momentum, Stochastic, Stochastic RSI, Directional Movement Index (DMI), Chaikin Money Flow (CMF), On-Balance Volume (OBV), Average True Range (ATR), Volume Weigthed MACD (VWMACD). some screen shots: DMI: MACD: Stochastic RSI Let me know if you need any other indicator in this tool. Enjoy!
Penunjuk Pine Script®
oleh LonesomeTheBlue
23
PT Feeder - HighLowPricePercentageYet another script to help people set the Addon PT Feeder for a trading bot Profit Trailer. Same rule applies if you do not own this the following explanation will not help you. - Add the script to your favourites - Edit Minutes for short term and long term for both indicators - Set candle size you are using default is 5 Minutes HighLowPricePercentage (Source PT Feeder Wiki) "This is a property to try and check the variance of the price from the norm and is over the MinutesToMeasureTrend time window. The math is: firstVariance = (high.ActualPrice - low.ActualPrice) / 2 medianVariance = high.ActualPrice - firstVariance highLowPercentage = (latestActualPrice - medianVariance) / latestActualPrice * 100". LongerTermHighLowPricePercentage (Source PT Feeder Wiki) "This is a property to try and check the variance of the price from the norm and is over the LongerTermMinutesToMeasureTrend time window. The math is the same as the HighLowPricePercentage". Sources: PT Feeder Wiki - github.com LTC: LYHj4WDN7BPu5294cSpqK3SgWSWdDX56Qt BTC: 1NPVzeDSsenaCS9QdPro877hkMk93nRLcD
Penunjuk Pine Script®
oleh QuantTherapy
MNQ 1H Liquidity + MTF BotThis Pine Script is a 1-hour trading strategy for MNQ futures that uses higher-timeframe confirmation, liquidity grabs, MACD alignment, and ATR-based targets to identify high-probability trades. The strategy only triggers entries during specific hours and includes a simple risk-reward structure with defined stop loss and take profit levels. **Buy (Long) Conditions:** * Current hour is within allowed trading window * 4H price is above 4H EMA 200 * 4H MACD line is above its signal * 1H MACD is bullish * Either a breakout above recent highs or a liquidity grab below recent lows * No existing long position **Sell (Short) Conditions:** * Current hour is within allowed trading window * 4H price is below 4H EMA 200 * 4H MACD line is below its signal * 1H MACD is bearish * Either a breakdown below recent lows or a liquidity grab above recent highs * No existing short position **Core Strategy Components:** * Multi-timeframe trend alignment (4H MACD + EMA 200) * 1H MACD for local momentum * Liquidity grab detection using price structure * ATR-based stop loss and take profit * Time window filter for active trading hours * Fixed percentage position sizing
Strategi Pine Script®
oleh The_Abramo
Big Trade % Heatmap### Big Trade % Heatmap **Quick overview** This indicator highlights where “whale” activity is clustered by showing what fraction of the recent candles contained *large‑value trades*. A candle is considered “big” when its notional volume (`volume × close`) exceeds your chosen USD threshold. You instantly see: * **Percent of big candles** in the last *N* bars, refreshed at the cadence you pick. * **On‑chart labels & markers** every refresh, so the chart stays clean. * **Optional heat‑map background** that turns orange (>20 %) or green (>50 %) when big‑trade concentration spikes. * **Ready‑made alert** when big‑trade dominance crosses 50 %. --- #### How it works 1. **Trade size per candle** – Calculates `close × volume` to estimate dollars traded. 2. **Threshold filter** – Flags candles whose value is above *Big Trade Threshold (\$)*. 3. **Look‑back window** – Counts what percentage of the last *Lookback Window (X Candles)* were “big.” 4. **Refresh interval** – Repeats the measurement only every *Refresh Interval (Every X Candles)* to avoid label spam. 5. **Visuals** – * A small blue ▼ above the bar + a text label such as `35.00 % > $25 000`. * Background shading (green/orange) for quick, at‑a‑glance sentiment. --- #### Inputs | Input | Purpose | Default | | -------------------------------------- | ----------------------------------------------------- | ------- | | **Lookback Window (X Candles)** | How many recent bars to sample for the % calculation. | 20 | | **Refresh Interval (Every X Candles)** | How often to display a new label/marker. | 5 | | **Big Trade Threshold (\$)** | Minimum USD value for a candle to count as “big.” | 10 000 | Tune these to the symbol and timeframe you trade (e.g., raise the threshold for BTC‑USDT 1‑h, lower it for micro‑caps). --- #### Alerts Enable **“High Big Trade %”** to get notified the moment more than half of the last *N* candles qualify as big trades—handy for spotting sudden accumulation or distribution. --- #### Typical use cases * **Breakout confirmation** – A surge in big‑trade % just before price escapes a range can validate the move. * **Whale spotting** – Detect hidden accumulation on pullbacks or aggressive selling into rallies. * **Filter noise** – Combine with your favorite trend indicator; only act when both align. --- > *Built with Pine Script v6. Always back‑test before trading live; this tool is for educational purposes and not financial advice.*
Penunjuk Pine Script®
oleh kickass08014
LANZ Strategy 5.0🔷 LANZ Strategy 5.0 — Intraday BUY Signals, Dynamic Lot Size per Account, Real-Time Dashboard and Smart Execution LANZ Strategy 5.0 is a powerful intraday tool designed for traders who need a visual-first, data-backed BUY system, enhanced with risk-aware lot size calculation and a real-time performance dashboard. This indicator intelligently detects strong momentum setups and provides visual and statistical clarity throughout the session. 📌 This is an indicator, not a strategy — It does not place trades automatically but provides precise conditions, alerts, and visual guides to support execution. 🧠 Core Logic & Features BUY Entry Conditions (Signal Engine) A BUY signal is triggered when: The current price is above the EMA200 (trend filter) The last 3 candles are bullish (candle body close > open) You are within the defined session window (NY time) When all conditions are met and you haven’t reached the daily trade limit, a signal appears on the chart and an optional alert is triggered. Operational Hours Filter (NY Time) You define: Start time (e.g., 01:15 NY) End time (e.g., 16:00 NY) The system only evaluates and executes signals within this period. If a BUY setup occurs outside the window, it’s ignored. The chart is also highlighted with a transparent teal background to visually show active trading hours. Lot Size Panel with Per-Account Risk Management Designed for traders managing multiple accounts or capital sources. You can enable up to 5 accounts, each with: Its own capital Its own risk percentage per trade The system uses the defined SL in pips, plus the instrument’s pip value, to calculate the lot size per account. All values are shown in a dedicated panel at the bottom-right, automatically updating with each new trade. The emojis (🐣🦊🦁🐲🐳) distinguish each account visually. Trade Visualization with Customizable Lines When a signal is triggered: An Entry Point (EP) line is drawn at the candle’s close. A Stop Loss (SL) line is placed X pips below the entry. A Take Profit (TP) line is placed Y pips above the entry. All three lines are fully customizable in style, color, and thickness. You define how many bars the lines should extend. Outcome Tracking & Real-Time Dashboard Each trade outcome is measured: SL hit = –1.00% TP hit = +3.00% Manual close = calculated dynamically based on price at close time Each result is labeled on the chart near its level, and stored. The top-right dashboard updates in real time: ✅ Number of trades 📈 Cumulative % gain/loss of the day (color-coded) Alerts You Can Trust: You’ll get a Buy Alert when a valid signal is formed You’ll get a Trade Executed Alert when the visual operation is plotted You’ll get a SL/TP Hit Alert with price and result You’ll get a Manual Close Alert if the configured time is reached and the trade is still active ⚙️ Step-by-Step Execution Flow At every bar, the system checks: Are we within the session time window? Is price above EMA? Are the last 3 candles bullish? ✅ If yes: A BUY signal is plotted Entry/SL/TP lines are drawn Lot sizes are calculated and displayed Trade is added to the daily count 🕐 At the configured Manual Close time (e.g., 16:00 NY): If the trade is still open, it's closed A label is added with the exact result in % 💡 Ideal For: Intraday traders who operate within fixed time sessions Traders managing multiple accounts or capital pools Anyone who wants full visual clarity of every decision point Traders who appreciate dynamic lot size calculation and clean execution tracking 👨‍💻 Credits: 💡 Developed by: LANZ 🧠 Strategy concept & execution model: LANZ 🧪 Tested on: 1H charts with visual-only execution 📈 Designed for: Clarity, adaptability, and full intraday control
Penunjuk Pine Script®
oleh rau_u_lanz
Gabriel's Relative Strength IndexGabriel’s RSI—The Reinvention of Relative Strength Not your average RSI. This is a fully reengineered Relative Strength Index that merges the power of advanced signal processing, adaptive smoothing, volume dynamics, and intelligent divergence detection into a single, modular toolkit designed for precision trading across all markets. Whether you’re scalping crypto, swing trading equities, or dissecting futures contracts—Gabriel’s RSI adapts to your strategy with unrivaled control and clarity. ⚙️ 1. RSI Settings RSI Length (Jurik): Set to 51 by default to mimic a 21-period standard RSI when Jurik smoothing is applied. Adjust lower (e.g., 22) to mimic a 9-period RSI. 32 would be almost ~14, 13.33 RSI. RSI Source: The default is hlc3 for smoother RSI. Can be changed to any price-based series (close, open, etc.) for customization. 📡 VIX-Aware: Automatically switches to high/low/close during VIX spikes using a custom Z-score model if toggled. (I backtested it, and it catches bottoms better.) 📡 🎯 2. RSI Smoothing Options MA Type: Smoothing applies to both RSI and its MA overlay simultaneously. I used to use the 56 EMA RSI, and it works well too. Options: JMA, T3, Kalman, Laguerre, Super Smoother, ALMA, VWMA, LSMA, etc. JMA: Best for adaptive recursive smoothing. A power of 2 and a phase of 50 are used. T3: Smooth and lag-reduced, suitable for trend detection. The alpha is 0.7. SMA + Bollinger Bands: Adds deviation-based envelopes for volatility spotting. BB StdDev: Only relevant if BBs are used. Controls bandwidth for overbought/oversold zones. MA Length: Affects how smooth or reactive the RSI signal is. 📉 3. MACD Settings Fast/Slow Length: Defaults (21/81) optimized for smoother MACD with SMA or T3. For Algo trading, EMA/JMA is best. Signal Length: Shorter (e.g., 2) gives more reactive crossover signals; it can be increased. Source: Default is close. Close works best for the settings I input. I also tuned some of the other MA types that worked for it. MA Types: JMA and EMA reduce noise and increase signal generation. Select SMA for simplicity or T3 for trend-following. Histogram: Bar colors signal strength and trend of MACD directly on your chart. 🔀 4. Directional Movement Index (DMI) ADX Smoothing: High values (e.g., 100) offer strong trend confirmation with Hann Window smoothing 12, or 14 for either regular RMA or double smoothed. DI Length: Affects DI+/- sensitivity. 100 ADX - 12/14 DI or 15 ADX - 35 DI are suggested, the latter for quicker boot time, as 100 bars is quite long. Smoothing Type: Choose Hann Window for refined smoothing; RMA (SMMA) for simplicity. Double-smoothing is RMA -> Hann window, best of both types. Volatility Type: ATR includes gaps for a full-range volatility; ADR is useful for gapless strategies, particularly OTC markets and intraday. Plotted as area fills, 0 to 100 scaled. Color-coded as Red (ADX), Orange (DI-), Blue (DI+). 📊 5. Volume Z-Score %R Length: Normalizes volume to percentile range (73 swing, 112 exhaustion). Z-Score Lengths: Compares short-term and long-term volume trends with Z-scores of volume. Fast Z-Score < Slow Z-Score = Gives a Volume Squeeze. Fast MA > Slow MA = Bullish Volume Divergence; volume has been fired. Not via Z-score, but instead via SMA, ALMA, and RMA of volume. WPR Volume: Weighted %R used to highlight exhaustion/pivot points. Plot volume bars after a volume squeeze has been fired; if bars aren't plotted, then it's under squeeze. Backtest on ES1! Prove it's good for catching bottoms below 15 minutes as well. 🧠 6. Divergence Engine Pivot Settings: Pivot Period (12), Divergence minval Lookback (5), and max Lookback Bars (100) control sensitivity. Works well on any asset class; these are the optimal settings for the RSI. Source Options: RSI, MACD, ADX, DI difference, or Volume %R. Divergence Types: Regular (Mean Reversal), Hidden (Trend Continuation). Heikin Ashi Mode: Enables use of HA candles on normal charts for smoother pivots. May distort values if your chart is H.A. so leave it unchecked then. 💥 7. Squeeze Momentum System (SQZMOM PRO) Squeeze Types: ⚫ Wide (Black) — Regular Compression 🔴 Normal (Red) — Standard squeeze 🟡 Narrow (Yellow) — Golden squeeze 🟣 Very Narrow (Purple) — Extreme compression 🟢 Fired (Green) — Fired Squeeze = Breakout Plotted on the very bottom of my indicator. Momentum Bars: 🔷 Cyan = Rising 🔵 Blue = Pullback 🔴 Red = Falling 🟡 Yellow = Corrective Plotted on the top of my indicator. Reversal Signals: Dashed lines on momentum–JMA crossovers (DM-style pivot logic) ploted directly on the chart. 📈 8. Rate of Change (RoC) RoC of Momentum: EMA-smoothed RoC on momentum for leading signals. Double smoothed, once and then another time for smoother signals. RoC of Momentum → EMA → EMA → JMA Signal. Signal Line: JMA used to filter noise and generate reversal signals. Crossovers: Bullish/bearish signals based on RoC vs. signal line are plotted as triangles directly on your chart. Optimized: Backtested for short-term setups like 1H or faster. Works on Daily timeframes as well for Futures and 24/7 Markets. 🕰️ 9. Multi-Timeframe Squeeze Settings Each timeframe (Hourly, 4H, Daily, Weekly, Monthly) has: Reversal Toggle: Enables dashed line DM-style pivots on crossovers. MA Length: For Jurik MA smoothing on momentum. BB/KC Thresholds: Define squeeze sensitivity per timeframe. A shorter BB/KC length, 17-14-12, responds better on lower timeframes. Momentum Length: Tailors oscillator responsiveness; 20 is ideal. 🧮 10. BB Std. Deviation Scaling Low-Pass Super Smoother : Smooths noise for BBs. High-Pass Butterworth : Extracts cycles for BB Stdv. blend. Root Mean Squared : Dynamic BB width adjustment based on market activity. True-range-based. LP -> HP -> RMS -> Bollinger Band Multiplier (2.0) Optional Intensify: Increases the squeeze rate * 4. Can be used for some option pricing strategies. 🧵 11. Moving Average Ribbon 4 optional MAs with full customization: Choose from 13 MA types (incl. Kalman, Laguerre, T3, ALMA) Color-coded for trend analysis (MA1–MA4 mimicking 9/21/50/200 periods) Optional crossover alerts 🔔12. Alerts RSI: Overbought/oversold reversals. Several types. (🦅 / 🕊️) MACD: Histogram shift through zero line. (🐘 / 🐴) DMI/ADX: Crossovers and strength conditions. The key level is the level where if DI/ADX is past this threshold, then it's considered to be trending. (🐬 / 🐋 / 🛡️) Volume: Smart Money alerts on low-volume zones. May concentrate on ICT sessions. (🚨) Squeeze: Alerts on all 5 squeeze states. (⚫, 🔴, 🟡, 🟣, 🟢) Momentum: Momentum / JMA crosses and reversals. (🐂 / 🐻) RoC: Bullish and bearish crosses. (📈 / 📉) Divergences: Regular, hidden, and combined. (🐂 / 🐻 / 🐾 / 🐼) MA Ribbon: Cross alert (⚔️) VIX: VIX Z-Score past 2.0 (🏴‍☠️) 📊 13. Visual Output Summary RSI Line + MA + Optional BB MACD Histogram (Color Adaptive) DMI/ADX Area Fills %R Volume Bars (Smart Money) Squeeze Dots (Circles) Momentum Bars (Squares) RoC Arrows (Cross Signals) Pivot Break Lines (Dashed) Auto-Divergence Lines & Labels MA Ribbon Overlay (Optional) ✅ Best Practices ✅ Watch the slope of the RSI for pullbacks on a strong trend. Combine it with squeeze for exit timing. Combine RSI Divergence with MACD histogram cross and Squeeze firing for precise entry. Use Volume Z-Score to filter for institutional activity, and enter Long. Watch for reversals as well. Watch RoC crossovers for fast, leading signals. Enable Reversal Lines on 1H+ charts for breakout or breakdown pivots. Use multi-timeframe thresholds for swing confirmation. The TFs I use the most are 2-5-15 minutes for futures and swinging with 1 hour daily and weekly. Those are the TFs I backtested. An optional MA Ribbon is here as well; it supports 13 MA types. 🌎 Asset-Agnostic MACD Automatically adjusts for Crypto, Forex, Stocks, Commodities, and Indices. Custom ALMA, T3, Kalman, and Laguerre filters optimized per asset class and timeframe. 📚 Tech Highlights Over 15,000 lines of modular, structured Pine Script v6 code. Integration of Ehlers Cycle Theory and various other filters, one for each indicator. Designed for visual clarity, multi-dimensional signal stacking, and low lag/high accuracy. 🌀 All 64 outputs are filled, so there might not be any more future updates. It's also a bit slow to load due to that.
Penunjuk Pine Script®
oleh GabrielAmadeusLau
Tsallis Entropy Market RiskTsallis Entropy Market Risk Indicator What Is It? The Tsallis Entropy Market Risk Indicator is a market analysis tool that measures the degree of randomness or disorder in price movements. Unlike traditional technical indicators that focus on price patterns or momentum, this indicator takes a statistical physics approach to market analysis. Scientific Foundation The indicator is based on Tsallis entropy, a generalization of traditional Shannon entropy developed by physicist Constantino Tsallis. The Tsallis entropy is particularly effective at analyzing complex systems with long-range correlations and memory effects—precisely the characteristics found in crypto and stock markets. The indicator also borrows from Log-Periodic Power Law (LPPL). Core Concepts 1. Entropy Deficit The primary measurement is the "entropy deficit," which represents how far the market is from a state of maximum randomness: Low Entropy Deficit (0-0.3): The market exhibits random, uncorrelated price movements typical of efficient markets Medium Entropy Deficit (0.3-0.5): Some patterns emerging, moderate deviation from randomness High Entropy Deficit (0.5-0.7): Strong correlation patterns, potentially indicating herding behavior Extreme Entropy Deficit (0.7-1.0): Highly ordered price movements, often seen before significant market events 2. Multi-Scale Analysis The indicator calculates entropy across different timeframes: Short-term Entropy (blue line): Captures recent market behavior (20-day window) Long-term Entropy (green line): Captures structural market behavior (120-day window) Main Entropy (purple line): Primary measurement (60-day window) 3. Scale Ratio This measures the relationship between long-term and short-term entropy. A healthy market typically has a scale ratio above 0.85. When this ratio drops below 0.85, it suggests abnormal relationships between timeframes that often precede market dislocations. How It Works Data Collection: The indicator samples price returns over specific lookback periods Probability Distribution Estimation: It creates a histogram of these returns to estimate their probability distribution Entropy Calculation: Using the Tsallis q-parameter (typically 1.5), it calculates how far this distribution is from maximum entropy Normalization: Results are normalized against theoretical maximum entropy to create the entropy deficit measure Risk Assessment: Multiple factors are combined to generate a composite risk score and classification Market Interpretation Low Risk Environments (Risk Score < 25) Market is functioning efficiently with reasonable randomness Price discovery is likely effective Normal trading and investment approaches appropriate Medium Risk Environments (Risk Score 25-50) Increasing correlation in price movements Beginning of trend formation or momentum Time to monitor positions more closely High Risk Environments (Risk Score 50-75) Strong herding behavior present Market potentially becoming one-sided Consider reducing position sizes or implementing hedges Extreme Risk Environments (Risk Score > 75) Highly ordered market behavior Significant imbalance between buyers and sellers Heightened probability of sharp reversals or corrections Practical Application Examples Market Tops: Often characterized by gradually increasing entropy deficit as momentum builds, followed by extreme readings near the actual top Market Bottoms: Can show high entropy deficit during capitulation, followed by normalization Range-Bound Markets: Typically display low and stable entropy deficit measurements Trending Markets: Often show moderate entropy deficit that remains relatively consistent Advantages Over Traditional Indicators Forward-Looking: Identifies changing market structure before price action confirms it Statistical Foundation: Based on robust mathematical principles rather than empirical patterns Adaptability: Functions across different market regimes and asset classes Noise Filtering: Focuses on meaningful structural changes rather than price fluctuations Limitations Not a Timing Tool: Signals market risk conditions, not precise entry/exit points Parameter Sensitivity: Results can vary based on the chosen parameters Historical Context: Requires some historical perspective to interpret effectively Complementary Tool: Works best alongside other analysis methods Enjoy :)
Penunjuk Pine Script®
oleh HenriqueCentieiro
Open Range Breakout (ORB) with Alerts 🚀 ChartsAlgo – Open Range Breakout (ORB) with Alerts The Open Range Breakout (ORB) Indicator by ChartsAlg is designed for intraday traders looking to capitalize on price movements after the market’s opening range. This tool is especially effective for futures (MNQ, MES) and high-volatility stocks or crypto where initial volatility sets the tone for the session. This indicator identifies a user-defined opening range window, plots the high/low lines of that range, and visually alerts users when price breaks out above or below the range — with options to customize breakout repetitions, background fill, and alerts. 💡 What is an Open Range Breakout (ORB)? The opening range represents the high and low established during the first few minutes of the trading session — usually 15 or 30 minutes. Many intraday strategies are based on the idea that breaking out of this initial range often signals strong momentum and trend continuation. Traders often enter: Long when price breaks above the range high. Short when price breaks below the range low. ⚙️ How It Works You define a session window (e.g., 09:30–09:45 EST). The indicator tracks the high and low during this time. Once the session ends, the high and low become your range breakout levels. The indicator then: Plots lines for visual clarity Optionally fills background between the range Triggers breakout signals if price crosses the levels Provides alerts when breakouts occur 🛠️ Settings Breakdown 🔹 Session Settings Range Session: Set your preferred window (e.g., 0930–0945). Can be premarket, first 30 mins, or any custom time. Time zone: Use "America/New York" for EST (default) or change to "GMT+0" for international traders. 🔹 Breakout Settings Bullish Breakout Signals: Number of allowed breakout alerts above the range. Bearish Breakout Signals: Number of allowed breakout alerts below the range. This prevents repeated alerts once breakout has been confirmed. 🔹 Display Settings Show Background Fill: Fills area between high/low of the range for easier visual analysis. Show Breakout Signals: Triangle markers plotted on the chart when breakouts happen. Only Show Today’s Range: Keeps the chart clean by showing only the most current day’s range. 🔹 Color Settings Range High/Low Line Colors: Choose any color for clarity. Range Fill Color: Customize the highlight area for your chart style. 📊 Chart Features Range High/Low Lines: Automatically plotted after range session ends. Visual Fill Box: Optional background shading between the opening range. Triangle Breakout Markers: Appear at the breakout candle. Alerts: Can be used with TradingView’s alert system to notify you of breakouts in real-time. 🔔 Alerts Two alert conditions are built in: Bullish Breakout: Triggers when price breaks above the high of the range. Bearish Breakout: Triggers when price breaks below the low of the range. Example Alert Message: 📈 “Bullish Breakout above Open Range on AAPL!” To activate: Click “🔔 Alerts” on TradingView. Set condition to this script. Choose “ORB Breakout Up” or “ORB Breakout Down”. Choose alert frequency and notification method. ⚠️ DISCLAIMER ChartsAlgo tools are for informational and educational purposes only. They are not financial advice or signals. Past performance does not guarantee future results. Use at your own risk and always implement solid risk management. By using this indicator, you agree that you are solely responsible for any trades or decisions made based on the information provided.
Penunjuk Pine Script®
oleh ChartsAlgo
SIP Evaluator and Screener [Trendoscope®]The SIP Evaluator and Screener is a Pine Script indicator designed for TradingView to calculate and visualize Systematic Investment Plan (SIP) returns across multiple investment instruments. It is tailored for use in TradingView's screener, enabling users to evaluate SIP performance for various assets efficiently. 🎲 How SIP Works A Systematic Investment Plan (SIP) is an investment strategy where a fixed amount is invested at regular intervals (e.g., monthly or weekly) into a financial instrument, such as stocks, mutual funds, or ETFs. The goal is to build wealth over time by leveraging the power of compounding and mitigating the impact of market volatility through disciplined, consistent investing. Here’s a breakdown of how SIPs function: Regular Investments : In an SIP, an investor commits to investing a fixed sum at predefined intervals, regardless of market conditions. This consistency helps inculcate a habit of saving and investing. Cost Averaging : By investing a fixed amount regularly, investors purchase more units when prices are low and fewer units when prices are high. This approach, known as dollar-cost averaging, reduces the average cost per unit over time and mitigates the risk of investing a large amount at a peak price. Compounding Benefits : Returns generated from the invested amount (e.g., capital gains or dividends) are reinvested, leading to exponential growth over the long term. The longer the investment horizon, the greater the potential for compounding to amplify returns. Dividend Reinvestment : In some SIPs, dividends received from the underlying asset can be reinvested to purchase additional units, further enhancing returns. Taxes on dividends, if applicable, may reduce the reinvested amount. Flexibility and Accessibility : SIPs allow investors to start with small amounts, making them accessible to a wide range of individuals. They also offer flexibility in terms of investment frequency and the ability to adjust or pause contributions. In the context of the SIP Evaluator and Screener , the script simulates an SIP by calculating the number of units purchased with each fixed investment, factoring in commissions, dividends, taxes and the chosen price reference (e.g., open, close, or average prices). It tracks the cumulative investment, equity value, and dividends over time, providing a clear picture of how an SIP would perform for a given instrument. This helps users understand the impact of regular investing and make informed decisions when comparing different assets in TradingView’s screener. It offers insights into key metrics such as total invested amount, dividends received, equity value, and the number of installments, making it a valuable resource for investors and traders interested in understanding long-term investment outcomes. 🎲 Key Features Customizable Investment Parameters: Users can define the recurring investment amount, price reference (e.g., open, close, HL2, HLC3, OHLC4), and whether fractional quantities are allowed. Commission Handling: Supports both fixed and percentage-based commission types, adjusting calculations accordingly. Dividend Reinvestment: Optionally reinvests dividends after a user-specified period, with the ability to apply tax on dividends. Time-Bound Analysis: Allows users to set a start year for the analysis, enabling historical performance evaluation. Flexible Dividend Periods: Dividends can be evaluated based on bars, days, weeks, or months. Visual Outputs: Plots key metrics like total invested amount, dividends, equity value, and remainder, with customizable display options for clarity in the data window and chart. 🎲 Using the script as an indicator on Tradingview Supercharts In order to use the indicator on charts, do the following. Load the instrument of your choice - Preferably a stable stocks, ETFs. Chose monthly timeframe as lower timeframes are insignificant in this type of investment strategy Load the indicator SIP Evaluator and Screener and set the input parameters as per your preference. Indicator plots, investment value, dividends and equity on the chart. 🎲 Visualizations Installments : Displays the number of SIP installments (gray line, visible in the data window). Invested Amount : Shows the cumulative amount invested, excluding reinvested dividends (blue area plot). Dividends : Tracks total dividends received (green area plot). Equity : Represents the current market value of the investment based on the closing price (purple area plot). Remainder : Indicates any uninvested cash after each installment (gray line, visible in the data window). 🎲 Deep dive into the settings The SIP Evaluator and Screener offers a range of customizable settings to tailor the Systematic Investment Plan (SIP) simulation to your preferences. Below is an explanation of each setting, its purpose, and how it impacts the analysis: 🎯 Duration Start Year (Default: 2020) : Specifies the year from which the SIP calculations begin. When Start Year is enabled via the timebound option, the script only considers data from the specified year onward. This is useful for analyzing historical SIP performance over a defined period. If disabled, the script uses all available data. Timebound (Default: False) : A toggle to enable or disable the Start Year restriction. When set to False, the SIP calculation starts from the earliest available data for the instrument. 🎯 Investment Recurring Investment (Default: 1000.0) : The fixed amount invested in each SIP installment (e.g., $1000 per period). This represents the regular contribution to the SIP and directly influences the total invested amount and quantity purchased. Allow Fractional Qty (Default: True) : When enabled, the script allows the purchase of fractional units (e.g., 2.35 shares). If disabled, only whole units are purchased (e.g., 2 shares), with any remaining funds carried forward as Remainder. This setting impacts the precision of investment allocation. Price Reference (Default: OPEN): Determines the price used for purchasing units in each SIP installment. Options include: OPEN : Uses the opening price of the bar. CLOSE : Uses the closing price of the bar. HL2 : Uses the average of the high and low prices. HLC3 : Uses the average of the high, low, and close prices. OHLC4 : Uses the average of the open, high, low, and close prices. This setting affects the cost basis of each purchase and, consequently, the total quantity and equity value. 🎯 Commission Commission (Default: 3) : The commission charged per SIP installment, expressed as either a fixed amount (e.g., $3) or a percentage (e.g., 3% of the investment). This reduces the amount available for purchasing units. Commission Type (Default: Fixed) : Specifies how the commission is calculated: Fixed ($) : A flat fee is deducted per installment (e.g., $3). Percentage (%) : A percentage of the investment amount is deducted as commission (e.g., 3% of $1000 = $30). This setting affects the net amount invested and the overall cost of the SIP. 🎯 Dividends Apply Tax On Dividends (Default: False) : When enabled, a tax is applied to dividends before they are reinvested or recorded. The tax rate is set via the Dividend Tax setting. Dividend Tax (Default: 47) : The percentage of tax deducted from dividends if Apply Tax On Dividends is enabled (e.g., 47% tax reduces a $100 dividend to $53). This reduces the amount available for reinvestment or accumulation. Reinvest Dividends After (Default: True, 2) : When enabled, dividends received are reinvested to purchase additional units after a specified period (e.g., 2 units of time, defined by Dividends Availability). If disabled, dividends are tracked but not reinvested. Reinvestment increases the total quantity and equity over time. Dividends Availability (Default: Bars) : Defines the time unit for evaluating when dividends are available for reinvestment. Options include: Bars : Based on the number of chart bars. Weeks : Based on weeks. Months : Based on months (approximated as 30.5 days). This setting determines the timing of dividend reinvestment relative to the Reinvest Dividends After period. 🎯 How Settings Interact These settings work together to simulate a realistic SIP. For example, a $1000 recurring investment with a 3% commission and fractional quantities enabled will calculate the number of units purchased at the chosen price reference after deducting the commission. If dividends are reinvested after 2 months with a 47% tax, the script fetches dividend data, applies the tax, and adds the net dividend to the investment amount for that period. The Start Year and Timebound settings ensure the analysis aligns with the desired timeframe, while the Dividends Availability setting fine-tunes dividend reinvestment timing. By adjusting these settings, users can model different SIP scenarios, compare performance across instruments in TradingView’s screener, and gain insights into how commissions, dividends, and price references impact long-term returns. 🎲 Using the script with Pine Screener The main purpose of developing this script is to use it with Tradingview Pine Screener so that multiple ETFs/Funds can be compared. In order to use this as a screener, the following things needs to be done. Add SIP Evaluator and Screener to your favourites (Required for it to be added in pine screener) Create a watch list containing required instruments to compare Open pine screener from Tradingview main menu Products -> Screeners -> Pine or simply load the URL - www.tradingview.com Select the watchlist created from Watchlist dropdown. Chose the SIP Evaluator and Screener from the "Choose Indicator" dropdown Set timeframe to 1 month and update settings as required. Press scan to display collected data on the screener. 🎲 Use Case This indicator is ideal for educational purposes, allowing users to experiment with SIP strategies across different instruments. It can be applied in TradingView’s screener to compare SIP performance for stocks, ETFs, or other assets, helping users understand how factors like commissions, dividends, and price references impact returns over time.
Penunjuk Pine Script®
oleh Trendoscope
2
WLSMA: fast approximation🙏🏻 Sup TV & @alexgrover O(N) algocomplexity, just one loop inside. No, you can't do O(1) @ updates in moving window mode, only expanding window will allow that. Now I have time series & stats models of my own creation, nowhere else available, just TV and my github for now, ain’t no legacy academic industry I always have fun about, but back in 2k20 when I consciously ain’t known much about quant, I remember seeing post by @alexgrover recreating Moving Regression Endpoint dropped on price chart (called LSMA here) as a linear filter combination of filters (yea yeah DSP terms) as 3WMA - 2SMA. Now it’s my time to do smth alike aye? ... This script is remake of my 1st degree WLSMA via linear filter combo. It’s much faster, we aint calculate moving regression per se, we just match its freq response. You can see it on the screen (WLSMAfa) almost perfectly matching the original one (WLSMA). ... While humans like to overfit, I fw generalizations. So your lovely WMA is actually just one case of a more general weight pattern: pow(len - i, e), where pow is the power function and e is the exponent itself. So: - If e = 0, then we have SMA (every number in 0th power is one) - If e = 1, we get WMA - If e = 2, we get quadratic weights. We can recreate WLSMA freq response then by combining 2 filters with e = 1 and e = 2. This is still an approximation, even tho enormously precise for the tasks you’ve shared with me. Due to the non-linear nature of the thing it’s all we can do, and as window size grows, even this small discrepancy converges with true WLSMA value, so we’re all good. Pls don’t try to model this 0.00xxxx discrepancy, it’s not natural. ... DSP approach is unnatural for prices, but you can put this thing on volume delta and be happy, or on other metrics of yours, if for some reason u dont wanna estimate thresholds by fitting a distro. All good TV ∞ P.S.: strangely, the first script made & dropped in the location in Saint P where my actual quant way has started ~5 years ago xD, very thankful
Penunjuk Pine Script®
oleh gorx1
3
Support and Resistance Profile with Volatility ClusteringThe indicator begins by looking at recent volatility behavior in the market: it measures the average true range over your chosen “Length” and compares it to the average true range over ten times that period. When volatility over the short window is high relative to longer-term volatility, we mark that period as a “cluster.” As price moves through these clusters—whether in a quiet period or a sudden burst of activity—the script isolates each cluster and examines the sequence of closing prices within it. Within every cluster, the algorithm next finds the points along the price path that matter most to a human eye, smoothing out minor wobbles and highlighting the peaks and valleys that define the cluster’s shape. It does this by drawing a straight line between the beginning and end of the cluster, then repeatedly snapping the single point that deviates most from that line back onto it and re-interpolating, until it has identified a fixed number of perceptually important points. Those points capture where price really turned or accelerated, stripping away noise so that you see the genuine memory-markers in each volatility episode. Each of those important points inherits a “weight” based on the cluster’s normalized volatility—essentially how large the average true range in that cluster was relative to its average close. Over your “Main Length for Profile” window, every time one of these weighted points occurs at a particular price level, it adds to a running total in that level’s bin. At the end of the window you see a silhouette of boxes extending to the right of the chart: where boxes are wide, many important points (with high volatility weight) have happened there in the past; where boxes are thin or absent, price memory is light. For a trader, the value of this profile lies in spotting zones where the market has repeatedly “remembered” price extremes during volatile episodes—those are areas where support or resistance is likely to be strongest. Conversely, gaps in the profile—price levels with little weighted history—suggest frictionless zones. If price enters such a gap, it may move swiftly until it encounters another region of heavy memory. You can use this in several ways: as a filter on breakouts and breakdowns (only trade through a gap when you see sufficient momentum), as a guide for scaling into positions (add when price enters a low-memory zone and tighten stops where memory boxes thicken), or to anticipate where price might pause or reverse (when it reaches a band of wide boxes). By turning raw volatility clusters into a human-readable map of price memory, this tool helps you see at a glance where the market is likely to push or pause—and plan entries, exits, and risk targets accordingly.
Penunjuk Pine Script®
oleh mertenes3
Reflexivity Resonance Factor (RRF) - Quantum Flow Reflexivity Resonance Factor (RRF) – Quantum Flow See the Feedback Loops. Anticipate the Regime Shift. What is the RRF – Quantum Flow? The Reflexivity Resonance Factor (RRF) – Quantum Flow is a next-generation market regime detector and energy oscillator, inspired by George Soros’ theory of reflexivity and modern complexity science. It is designed for traders who want to visualize the hidden feedback loops between market perception and participation, and to anticipate explosive regime shifts before they unfold. Unlike traditional oscillators, RRF does not just measure price momentum or volatility. Instead, it models the dynamic feedback between how the market perceives itself (perception) and how it acts on that perception (participation). When these feedback loops synchronize, they create “resonance” – a state of amplified reflexivity that often precedes major market moves. Theoretical Foundation Reflexivity: Markets are not just driven by external information, but by participants’ perceptions and their actions, which in turn influence future perceptions. This feedback loop can create self-reinforcing trends or sudden reversals. Resonance: When perception and participation align and reinforce each other, the market enters a high-energy, reflexive state. These “resonance” events often mark the start of new trends or the climax of existing ones. Energy Field: The indicator quantifies the “energy” of the market’s reflexivity, allowing you to see when the crowd is about to act in unison. How RRF – Quantum Flow Works Perception Proxy: Measures the rate of change in price (ROC) over a configurable period, then smooths it with an EMA. This models how quickly the market’s collective perception is shifting. Participation Proxy: Uses a fast/slow ATR ratio to gauge the intensity of market participation (volatility expansion/contraction). Reflexivity Core: Multiplies perception and participation to model the feedback loop. Resonance Detection: Applies Z-score normalization to the absolute value of reflexivity, highlighting when current feedback is unusually strong compared to recent history. Energy Calculation: Scales resonance to a 0–100 “energy” value, visualized as a dynamic background. Regime Strength: Tracks the percentage of bars in a lookback window where resonance exceeded the threshold, quantifying the persistence of reflexive regimes. Inputs: 🧬 Core Parameters Perception Period (pp_roc_len, default 14): Lookback for price ROC. Lower (5–10): More sensitive, for scalping (1–5min). Default (14): Balanced, for 15min–1hr. Higher (20–30): Smoother, for 4hr–daily. Perception Smooth (pp_smooth_len, default 7): EMA smoothing for perception. Lower (3–5): Faster, more detail. Default (7): Balanced. Higher (10–15): Smoother, less noise. Participation Fast (prp_fast_len, default 7): Fast ATR for immediate volatility. 5–7: Scalping. 7–10: Day trading. 10–14: Swing trading. Participation Slow (prp_slow_len, default 21): Slow ATR for baseline volatility. Should be 2–4x fast ATR. Default (21): Works with fast=7. ⚡ Signal Configuration Resonance Window (res_z_window, default 50): Z-score lookback for resonance normalization. 20–30: More reactive. 50: Medium-term. 100+: Very stable. Primary Threshold (rrf_threshold, default 1.5): Z-score level for “Active” resonance. 1.0–1.5: More signals. 1.5: Balanced. 2.0+: Only strong signals. Extreme Threshold (rrf_extreme, default 2.5): Z-score for “Extreme” resonance. 2.5: Major regime shifts. 3.0+: Only the most extreme. Regime Window (regime_window, default 100): Lookback for regime strength (% of bars with resonance spikes). Higher: More context, slower. Lower: Adapts quickly. 🎨 Visual Settings Show Resonance Flow (show_flow, default true): Plots the main resonance line with glow effects. Show Signal Particles (show_particles, default true): Circular markers at active/extreme resonance points. Show Energy Field (show_energy, default true): Background color based on resonance energy. Show Info Dashboard (show_dashboard, default true): Status panel with resonance metrics. Show Trading Guide (show_guide, default true): On-chart quick reference for interpreting signals. Color Mode (color_mode, default "Spectrum"): Visual theme for all elements. “Spectrum”: Cyan→Magenta (high contrast) “Heat”: Yellow→Red (heat map) “Ocean”: Blue gradients (easy on eyes) “Plasma”: Orange→Purple (vibrant) Color Schemes Dynamic color gradients are used for all plots and backgrounds, adapting to both resonance intensity and direction: Spectrum: Cyan/Magenta for bullish/bearish resonance. Heat: Yellow/Red for bullish, Blue/Purple for bearish. Ocean: Blue gradients for both directions. Plasma: Orange/Purple for high-energy states. Glow and aura effects: The resonance line is layered with multiple glows for depth and signal strength. Background energy field: Darker = higher energy = stronger reflexivity. Visual Logic Main Resonance Line: Shows the smoothed resonance value, color-coded by direction and intensity. Glow/Aura: Multiple layers for visual depth and to highlight strong signals. Threshold Zones: Dotted lines and filled areas mark “Active” and “Extreme” resonance zones. Signal Particles: Circular markers at each “Active” (primary threshold) and “Extreme” (extreme threshold) event. Dashboard: Top-right panel shows current status (Dormant, Building, Active, Extreme), resonance value, energy %, and regime strength. Trading Guide: Bottom-right panel explains all states and how to interpret them. How to Use RRF – Quantum Flow Dormant (💤): Market is in equilibrium. Wait for resonance to build. Building (🌊): Resonance is rising but below threshold. Prepare for a move. Active (🔥): Resonance exceeds primary threshold. Reflexivity is significant—consider entries or exits. Extreme (⚡): Resonance exceeds extreme threshold. Major regime shift likely—watch for trend acceleration or reversal. Energy >70%: High conviction, crowd is acting in unison. Above 0: Bullish reflexivity (positive feedback). Below 0: Bearish reflexivity (negative feedback). Regime Strength: % of bars in “Active” state—higher = more persistent regime. Tips: - Use lower lookbacks for scalping, higher for swing trading. - Combine with price action or your own system for confirmation. - Works on all assets and timeframes—tune to your style. Alerts RRF Activation: Resonance crosses above primary threshold. RRF Extreme: Resonance crosses above extreme threshold. RRF Deactivation: Resonance falls below primary threshold. Originality & Usefulness RRF – Quantum Flow is not a mashup of existing indicators. It is a novel oscillator that models the feedback loop between perception and participation, then quantifies and visualizes the resulting resonance. The multi-layered color logic, energy field, and regime strength dashboard are unique to this script. It is designed for anticipation, not confirmation—helping you see regime shifts before they are obvious in price. Chart Info Script Name: Reflexivity Resonance Factor (RRF) – Quantum Flow Recommended Use: Any asset, any timeframe. Tune parameters to your style. Disclaimer This script is for research and educational purposes only. It does not provide financial advice or direct buy/sell signals. Always use proper risk management and combine with your own strategy. Past performance is not indicative of future results. Trade with insight. Trade with anticipation. — Dskyz , for DAFE Trading Systems
Penunjuk Pine Script®
oleh DskyzInvestments
VWAP Double Touch Alert (Timeframe-Aware)📌 VWAP Double Touch Alert — Smart Re-entry Signal for Precision Traders Take your VWAP trading to the next level with this intelligent indicator that filters out the noise and zeroes in on high-probability re-entry setups. 💡 How it works: This script tracks every time price touches the VWAP line and alerts you when it happens twice within a defined window of time (adjustable per your timeframe). This is often a sign of smart money accumulation, potential reversals, or explosive breakouts. 🔍 Why Traders Love It: ✅ Filters out weak signals — only alerts on confirmed double touches ✅ Fully adjustable VWAP zone sensitivity ✅ Selectable timeframe profiles or custom window (1m, 5m, 15m, 30m, etc.) ✅ Clean visual cues with minimal chart clutter ✅ Perfect for scalping, intraday reversals, or VWAP mean-reversion strategies ⚙️ Customization: VWAP zone width (in %) Time window in bars or automatic based on timeframe Custom alert messages Alert only triggers once per double-touch event to avoid spamming 🎯 Best For: Crypto scalpers & day traders VWAP bounce and mean-reversion traders Traders who want clean, conclusive entry alerts without lag
Penunjuk Pine Script®
oleh markushernlind
2
[Stop!Loss] ADR Signal ADR Signal - a technical indicator located in a separate window, which displays by default the 80%-level , as well as the 100%-level of the average daily range (ADR) for the last 10 days and compares it with the current intraday range. The indicator helps not only with the use of a mathematical-statistical method to identify a potential reversal at the moment during intraday trading, but can also serves as an effective assistant in risk management. 👉 Basic mechanics of the indicator Firstly, this indicator tracks the performance of the standard ATR indicator on the daily chart, in other words, ADR (Average Daily Range). Important ❗️The ATR (Average True Range) indicator was created by J. Welles Wilder Jr. He first introduced ATR in his book "New Concepts in Technical Trading Systems", published in 1978. Wilder developed this indicator to measure market volatility to help traders estimate the range of price movements. This indicator is built into TradingView, more details can be found by link: www.tradingview.com Like ATR , ADR calculates the average true range for a specified period. In this case, the distance in points from the maximum of each day to its minimum is calculated, after which the arithmetic mean is calculated - this is ADR . 👉 Visualization ADR Signal is located in a separate window on the chart and has 3 levels: 1) "ADR level" (green line) - the same parameter, the calculations of which are briefly described above. There is 100%-level of ATR on the daily chart (ADR). 2) "Current level" (red line) - this is the current price passage within the day, calculated in points. At the start of a new day, this parameter is reset. Therefore, in the indicator window, this line has sharp drops at the start of a new trading day: "A new trading day - the instrument's power reserve is renewed again". 3) "Signal level" (blue line) - this is an individually customized value that demonstrates a certain part of the ADR parameter. 👉 Inputs 1) - is responsible for the ATR indicator period, the value of which will always be calculated on the daily chart. The default value is "10", that is, ATR is calculated for the last 10 days (not including the current one). 2) - signal level (in %). The default value is "0.8", that is, 80%-level of the ADR parameter (set earlier) is calculated. 👉 Style 1) - by default, this level is colored "blue". 2) - by default, this level is colored "red". 3) - by default, this level is colored "green". 👉 How to use this indicator Important❗️ The two methods of the use of the ADR Signal indicator described below will be most effective when trading intraday (which is highlighted quite well below), so it is more logical to use the indicator information on time periods H1 and below. 1) Identifying potential reversals during intraday trading: The ADR Signal indicator can be used as a potential individual reversal strategy. Important ❗️It should be noted that using it in it without additional confirming analysis tools will be a rather aggressive trading approach. Therefore, it is best to support the entry point in particular with other methods. In this case, the crossing of the red line (the number of points passed within the current day, that is, from the minimum of the current day to its maximum) and the blue line (color of the Signal level based on the default settings), indicates that the trading instrument has passed 80% (based on the default settings for the "Signal level") of its average distance from the maximum to the minimum over the past 10 days (based on the default settings for the "ADR Length"). Such a situation in the context of the mathematical-statistical approach indicates a probable reversal, since the "power reserve" of this instrument is mostly exhausted, so one can expect with a higher probability, at least, a price stop and possibly a reversal. In case of crossing of the red line and the green one (ADR level), it says again that based on the mathematical-statistical approach, this trading instrument has completely exhausted its intraday "power reserve". In this situation, a stop or reversal of the price will be even more likely. Of course, using the "Signal level" parameter, one can filter out even more reliable situations for potential price reversals within a day, namely, by specifying, for example, 1.5 in the field of this parameter. Under such conditions, in the case of crossing the red and blue lines (based on the default style settings), to say that the trading instrument has passed 150% of its average distance over the last 10 days (based on the default style settings "ADR length"). In this case, the probability of a stop or reversal of the price increases even more. 2) Use in risk management: In terms of risk management, this indicator is more applicable to open trades. For example, if one had an open Buy-position (especially if it is an intraday trade) and the price has raised significantly during the day, then the crossing of the red line with the blue line , and especially the red line with the green line , may indicate that the price will most likely stop growing, since the "power reserve" is almost or completely exhausted for this instrument within the current day. In this case, one can, at a minimum, move the trade to breakeven or even partially fix the profit. We will continue to discuss the methods of using this indicator and strategies based on it here. And we are always waiting for your reactions and feedback on this topic 💬. Thank you for your support 🚀
Penunjuk Pine Script®
oleh StopLoss222
VWAP 2.0 with desv + Initial Balance by RiotWolftrading🌟 Overview This powerful tool is designed for traders who want to harness the power of the Volume Weighted Average Price (VWAP) alongside session-based ranges to make informed trading decisions. Whether you're a day trader or a swing trader, this indicator provides a clean and effective way to identify support, resistance, and market trends—all in one place! 💡 ✨ Key Features Auto-Anchored VWAP 📊 Automatically calculates the VWAP based on a user-defined anchor period (e.g., Daily, Weekly, Monthly). Resets at the start of each period (e.g., daily for a Daily anchor). Displays a customizable VWAP line with standard deviation bands to highlight key price levels. Standard Deviation Bands 📏 Plots up to three sets of standard deviation bands above and below the VWAP (multipliers: 1.0, 2.0, 3.0). Includes volume percentage labels to show where trading volume is concentrated. 📉 Session High/Low Range 🕒 Identifies the high and low prices within a customizable session (default: 12:00 to 15:31). Draws horizontal lines at the session high and low, with dotted deviation lines for additional reference points. Perfect for spotting key levels during your trading session! 🔑 Time-Based Range Box ⏰ Highlights a specific time window (default: 15:40 to 15:50) with a colored box showing the high and low prices. Ideal for tracking price action during high-impact events like news releases or market opens. 📅 Alerts 🚨 Set up alerts for when the price crosses above or below the VWAP—never miss a potential trading opportunity! ⚙️ Settings Customize the indicator to fit your trading style with these easy-to-use settings: VWAP Settings Timezone 🌍: Select your timezone (default: GMT+2) to align calculations with your local time. VWAP Source 📈: Choose the price source for VWAP (default: hlc3 - average of high, low, close). Std Deviation Multipliers 📐: Adjust the multipliers for the bands (default: 1.0, 2.0, 3.0). Line Width ✏️: Set the thickness of the VWAP and band lines (default: 1). Session Time ⏳: Define the session window for VWAP calculations (default: 08:00-18:00, all days). Show Upper/Lower Bands 👀: Toggle visibility for each set of bands (default: Band 1 visible, Bands 2 & 3 hidden). Range Settings Range Start/End Time 🕙: Set the time window for the range box (default: 15:40 to 15:50). Box Color 🎨: Customize the border color (default: blue). Box Background Color 🖌️: Adjust the background color (default: light aqua, 90% transparency). I created this indicator to provide a streamlined, clutter-free tool for traders who rely on VWAP and session-based analysis. It focuses on the essentials—VWAP, standard deviation bands, session high/low, and range box—without unnecessary overlays. I hope it helps you in your trading journey! If you have feedback or suggestions, feel free to share—I’d love to hear from you! 😊
Penunjuk Pine Script®
oleh anarkiacapital
Dkoderweb repainting issue fix strategyHarmonic Pattern Recognition Trading Strategy This TradingView strategy called "Dkoderweb repainting issue fix strategy" is designed to identify and trade harmonic price patterns with optimized entry and exit points using Fibonacci levels. The strategy implements various popular harmonic patterns including Bat, Butterfly, Gartley, Crab, Shark, ABCD, and their anti-patterns. Key Features Pattern Recognition: Identifies 17+ harmonic price patterns including standard and anti-patterns Fibonacci-Based Entries and Exits: Uses customizable Fibonacci levels for precision entries, take profits, and stop losses Alternative Timeframe Analysis: Option to use higher timeframes for pattern identification Heiken Ashi Support: Optional use of Heiken Ashi candles instead of regular candlesticks Visual Indicators: Pattern visualization with ZigZag indicator Buy/sell signal markers Color-coded background to highlight active trade zones Customizable Fibonacci level display How It Works The strategy uses a ZigZag-based pattern identification system to detect pivot points When a valid harmonic pattern forms, the strategy calculates the optimal entry window using the specified Fibonacci level (default 0.382) Entries trigger when price returns to the entry window after pattern completion Take profit and stop loss levels are automatically set based on customizable Fibonacci ratios Visual alerts notify you of entries and exits The strategy tracks active trades and displays them with background color highlights Customizable Settings Trade size Entry window Fibonacci level (default 0.382) Take profit Fibonacci level (default 0.618) Stop loss Fibonacci level (default -0.618) Alert messages for entries and exits Display options for specific Fibonacci levels Alternative timeframe selection This strategy is designed to fix repainting issues that are common in harmonic pattern strategies, ensuring more reliable signals and backtesting results.
Strategi Pine Script®
oleh dharmeshchudasma9
10
Dskyz Adaptive Futures Elite (DAFE)Dskyz Adaptive Futures Edge (DAFE) imgur.com A Dynamic Futures Trading Strategy DAFE adapts to market volatility and price action using technical indicators and advanced risk management. It’s built for high-stakes futures trading (e.g., MNQ, BTCUSDT.P), offering modular logic for scalpers and swing traders alike. Key Features Adaptive Moving Averages Dynamic Logic: Fast and slow SMAs adjust lengths via ATR, reacting to momentum shifts and smoothing in calm markets. Signals: Long entry on fast SMA crossing above slow SMA with price confirmation; short on cross below. RSI Filtering (Optional) Momentum Check: Confirms entries with RSI crossovers (e.g., above oversold for longs). Toggle on/off with custom levels. Fine-Tuning: Adjustable lookback and thresholds (e.g., 60/40) for precision. Candlestick Pattern Recognition Eng|Enhanced Detection: Identifies strong bullish/bearish engulfing patterns, validated by volume and range strength (vs. 10-period SMA). Conflict Avoidance: Skips trades if both patterns appear in the lookback window, reducing whipsaws. Multi-Timeframe Trend Filter 15-Minute Alignment: Syncs intrabar trades with 15-minute SMA trends; optional for flexibility. Dollar-Cost Averaging (DCA) New! Scaling: Adds up to a set number of entries (e.g., 4) on pullbacks/rallies, spaced by ATR multiples. Control: Caps exposure and resets on exit, enhancing trend-following potential. Trade Execution & Risk Management Entry Rules: Prioritizes moving averages or patterns (user choice), with volume, volatility, and time filters. Stops & Trails: Initial Stop: ATR-based (2–3.5x, volatility-adjusted). Trailing Stop: Locks profits with configurable ATR offset and multiplier. Discipline Cooldown: Pauses post-exit (e.g., 0–5 minutes). Min Hold: Ensures trades last a set number of bars (e.g., 2–10). Visualization & Tools Charts: Overlays MAs, stops, and signals; trend shaded in background. Dashboard: Shows position, P&L, win rate, and more in real-time. Debugging: Logs signal details for optimization. Input Parameters Parameter Purpose Suggested Use Use RSI Filter - Toggle RSI confirmation *Disable 4 price-only trading RSI Length - RSI period (e.g., 14) *7–14 for sensitivity RSI Overbought/Oversold - Adjust for market type *Set levels (e.g., 60/40) Use Candlestick Patterns - Enables engulfing signals *Disable for MA focus Pattern Lookback - Pattern window (e.g., 19) *10–20 bars for balance Use 15m Trend Filter - Align with 15-min trend *Enable for trend trades Fast/Slow MA Length - Base MA lengths (e.g., 9/19) *10–25 / 30–60 per timeframe Volatility Threshold - Filters volatile spikes *Max ATR/close (e.g., 1%) Min Volume - Entry volume threshold *Avoid illiquid periods (e.g., 10) ATR Length - ATR period (e.g., 14) *Standard volatility measure Trailing Stop ATR Offset - Trail distance (e.g., 0.5) *0.5–1.5 for tightness Trailing Stop ATR Multi - Trail multiplier (e.g., 1.0) *1–3 for trend room Cooldown Minutes - Post-exit pause (e.g., 0–5) *Prevents overtrading Min Bars to Hold - Min trade duration (e.g., 2) *5–10 for intraday Trading Hours - Active window (e.g., 9–16) *Focus on key sessions Use DCA - Toggle DCA *Enable for scaling Max DCA Entries - Cap entries (e.g., 4) *Limit risk exposure DCA ATR Multiplier Entry spacing (e.g., 1.0) *1–2 for wider gaps Compliance Realistic Testing: Fixed quantities, capital, and slippage for accurate backtests. Transparency: All logic is user-visible and adjustable. Risk Controls: Cooldowns, stops, and hold periods ensure stability. Flexibility: Adapts to various futures and timeframes. Summary DAFE excels in volatile futures markets with adaptive logic, DCA scaling, and robust risk tools. Currently in prop account testing, it’s a powerful framework for precision trading. Caution DAFE is experimental, not a profit guarantee. Futures trading risks significant losses due to leverage. Backtest, simulate, and monitor actively before live use. All trading decisions are your responsibility.
Strategi Pine Script®
oleh DskyzInvestments
12
BTC Trading RobotOverview This Pine Script strategy is designed for trading Bitcoin (BTC) by placing pending orders (BuyStop and SellStop) based on local price extremes. The script also implements a trailing stop mechanism to protect profits once a position becomes sufficiently profitable. ________________________________________ Inputs and Parameter Setup 1. Trading Profile: o The strategy is set up specifically for BTC trading. o The systemType input is set to 1, which means the strategy will calculate trade parameters using the BTC-specific inputs. 2. Common Trading Inputs: o Risk Parameters: Although RiskPercent is defined, its actual use (e.g., for position sizing) isn’t implemented in this version. o Trading Hours Filter:  SHInput and EHInput let you restrict trading to a specific hour range. If these are set (non-zero), orders will only be placed during the allowed hours. 3. BTC-Specific Inputs: o Take Profit (TP) and Stop Loss (SL) Percentages:  TPasPctBTC and SLasPctBTC are used to determine the TP and SL levels as a percentage of the current price. o Trailing Stop Parameters:  TSLasPctofTPBTC and TSLTgrasPctofTPBTC determine when and by how much a trailing stop is applied, again as percentages of the TP. 4. Other Parameters: o BarsN is used to define the window (number of bars) over which the local high and low are calculated. o OrderDistPoints acts as a buffer to prevent the entry orders from being triggered too early. ________________________________________ Trade Parameter Calculation • Price Reference: o The strategy uses the current closing price as the reference for calculations. • Calculation of TP and SL Levels: o If the systemType is set to BTC (value 1), then:  Take Profit Points (Tppoints) are calculated by multiplying the current price by TPasPctBTC.  Stop Loss Points (Slpoints) are calculated similarly using SLasPctBTC.  A buffer (OrderDistPoints) is set to half of the take profit points.  Trailing Stop Levels:  TslPoints is calculated as a fraction of the TP (using TSLTgrasPctofTPBTC).  TslTriggerPoints is similarly determined, which sets the profit level at which the trailing stop will start to activate. ________________________________________ Time Filtering • Session Control: o The current hour is compared against SHInput (start hour) and EHInput (end hour). o If the current time falls outside the allowed window, the script will not place any new orders. ________________________________________ Entry Orders • Local Price Extremes: o The strategy calculates a local high and local low using a window of BarsN * 2 + 1 bars. • Placing Stop Orders: o BuyStop Order:  A long entry is triggered if the current price is less than the local high minus the order distance buffer.  The BuyStop order is set to trigger at the level of the local high. o SellStop Order:  A short entry is triggered if the current price is greater than the local low plus the order distance buffer.  The SellStop order is set to trigger at the level of the local low. Note: Orders are only placed if there is no current open position and if the session conditions are met. ________________________________________ Trailing Stop Logic Once a position is open, the strategy monitors profit levels to protect gains: • For Long Positions: o The script calculates the profit as the difference between the current price and the average entry price. o If this profit exceeds the TslTriggerPoints threshold, a trailing stop is applied by placing an exit order. o The stop price is set at a distance below the current price, while a limit (profit target) is also defined. • For Short Positions: o The profit is calculated as the difference between the average entry price and the current price. o A similar trailing stop exit is applied if the profit exceeds the trigger threshold. ________________________________________ Summary In essence, this strategy works by: • Defining entry levels based on recent local highs and lows. • Placing pending stop orders to enter the market when those levels are breached. • Filtering orders by time, ensuring trades are only taken during specified hours. • Implementing a trailing stop mechanism to secure profits once the trade moves favorably. This approach is designed to automate BTC trading based on price action and dynamic risk management, although further enhancements (like dynamic position sizing based on RiskPercent) could be added for a more complete risk management system.
Strategi Pine Script®
oleh Buddhika_Trading
Liquidity Heatmap SwiftEdgeDescription Liquidity Heatmap with Buy/Sell Side (Blue/Red) is a technical analysis tool designed to help traders identify potential liquidity zones in the market by combining swing high/low detection with volume analysis, visualized as a heatmap overlay on the chart. This script highlights areas where significant buying or selling pressure may exist, often acting as support or resistance levels, and provides a clear visual representation of these zones using color-coded heatmap boxes and labeled bubbles. What It Does The script identifies key price levels (swing highs and lows) where liquidity is likely to be concentrated, such as stop-loss clusters or pending orders. These levels are then grouped into a heatmap, with blue zones representing potential buy-side liquidity (below the current price) and red zones indicating sell-side liquidity (above the current price). Each zone is marked with a bubble showing the estimated liquidity amount, derived from volume data, to help traders gauge the strength of the level. How It Works The script combines three main components to create a comprehensive liquidity visualization: Swing Highs and Lows Detection: The script uses the ta.pivothigh and ta.pivotlow functions to identify swing highs and lows over a user-defined lookback period (Swing Length). These levels often represent areas where price has reversed, indicating potential liquidity zones where stop-losses or pending orders may be placed. Volume Analysis: Volume data at each swing high/low is captured and averaged over a specified period (Volume Average Length). This volume is then scaled using a multiplier (Volume Multiplier for Liquidity) to estimate the liquidity amount at each level, displayed in thousands (e.g., "10K") on the chart via labeled bubbles. Heatmap Visualization: The identified levels are grouped into price bins to form a heatmap. The price range is divided into a user-defined number of bins (Number of Heatmap Bins), and each bin is drawn as a colored box (blue for buy-side, red for sell-side). The transparency of the heatmap boxes can be adjusted (Heatmap Transparency) to ensure they do not obscure the price action. Why Combine These Components? The combination of swing highs/lows, volume analysis, and a heatmap provides a powerful way to visualize liquidity in the market. Swing highs and lows are natural points where liquidity tends to accumulate, as they often coincide with areas where traders place stop-losses or pending orders. By incorporating volume data, the script quantifies the potential strength of these levels, giving traders insight into the magnitude of liquidity present. The heatmap visualization then aggregates these levels into a clear, color-coded overlay, making it easy to see where buy-side and sell-side liquidity is concentrated without cluttering the chart. This mashup is particularly useful because it bridges price action (swing levels), market activity (volume), and visual clarity (heatmap), offering a holistic view of potential support and resistance zones that might influence price movements. How to Use It Add the Indicator to Your Chart: Apply the script to your chart by adding it from the Pine Script library. It will overlay directly on your price chart. Interpret the Heatmap: Blue Zones (Buy-Side Liquidity): These appear below the current price and indicate levels where buying pressure or stop-losses from short positions may be located. Red Zones (Sell-Side Liquidity): These appear above the current price and indicate levels where selling pressure or stop-losses from long positions may be located. The intensity of the color is controlled by the Heatmap Transparency setting—lower values make the zones more opaque, while higher values make them more transparent. Analyze the Bubbles: Each liquidity zone is marked with a bubble showing the estimated liquidity amount in thousands (e.g., "10K"). The size of the bubble is scaled by the Bubble Size Multiplier, with larger bubbles indicating higher liquidity. Adjust Settings for Your Needs: Liquidity Settings: Swing Length: Controls the lookback period for detecting swing highs and lows. A smaller value (e.g., 10) is better for shorter timeframes like 1-minute charts, while a larger value (e.g., 50) suits higher timeframes. Liquidity Threshold: Defines how close two levels must be to be considered the same, preventing duplicate zones. Volume Average Length: Sets the period for averaging volume data at swing points. Volume Multiplier for Liquidity: Scales the volume to estimate liquidity amounts shown in the bubbles. Lookback Period (Hours): Limits how far back the script looks for liquidity zones. Use Price Window Filter: If enabled, only shows zones within a price range defined by Liquidity Window (Points per Side). Heatmap Settings: Number of Heatmap Bins: Determines how many price bins the heatmap is divided into. More bins create a finer resolution but may clutter the chart. Heatmap Bin Height (Points): Sets the vertical height of each heatmap box in price points. Heatmap Transparency: Adjusts the transparency of the heatmap boxes (0 = fully opaque, 100 = fully transparent). Display Settings: Bubble Size Multiplier: Scales the size of the bubbles showing liquidity amounts. Trading Application: Use the heatmap to identify potential support (blue zones) and resistance (red zones) levels where price may react. Pay attention to zones with larger bubbles, as they indicate higher liquidity and may have a stronger impact on price. Combine with other analysis tools (e.g., trendlines, indicators) to confirm trade setups. What Makes It Original? This script stands out by integrating swing high/low detection with volume-based liquidity estimation and a heatmap visualization in a single tool. Unlike traditional support/resistance indicators that only plot static lines, this script dynamically aggregates liquidity zones into a heatmap, making it easier to see clusters of potential buying or selling pressure. The addition of volume-derived liquidity amounts in labeled bubbles provides a unique quantitative measure of each zone's strength, helping traders prioritize key levels. The color-coded buy/sell distinction further enhances its utility by visually separating zones based on their likely market impact. Example Use Case On a 1-minute chart of EUR/USD, you might set Swing Length to 10 to capture short-term pivots, Lookback Period (Hours) to 4 to focus on recent data, and Liquidity Window to 200 points (20 pips) to show only nearby zones. The heatmap will then display blue zones below the current price where buy-side liquidity may act as support, and red zones above where sell-side liquidity may act as resistance. A bubble showing "50K" at a blue zone indicates significant buy-side liquidity, suggesting a potential bounce if the price approaches that level.
Penunjuk Pine Script®
oleh SwiftEdge
5