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ค้นหาในสคริปต์สำหรับ "富时中国50期指"

Ultimate Moving Average Package (17 MA's)Included is the: VWAP Current time frame 10 EMA Current time frame 20 EMA Current time frame 50 EMA Current time frame 10 SMA Current time frame 20 SMA Current time frame 50 SMA Daily 10 EMA Daily 20 EMA Daily 50 EMA Daily 50 SMA Daily 100 SMA Daily 200 SMA Weekly 100 SMA Weekly 200 SMA Monthly 100 SMA Monthly 200 SMA All Daily/Weekly/Monthly MA's can be seen on intraday charts. Current time frame MA's change depending on your time frame. Obviously you dont need all 17 on your chart but you can pick the ones you like and disable the rest.
อินดิเคเตอร์ Pine Script®
โดย Craig_Stine
OVL_Kikoocycle Beta_Pine3This script use : - A custom Chande Kroll Stop for generate the channel - Some custom Parabolic S.A.R for generate cycles This script can be separated into 3 categories: - Channel Kroll generator : one layer for the actual interval and a layer for a Large Timeframe .(with ratio) - "Range" generator : one layer for actual Interval and a layer for a Large Timeframe.(with automique ratio) -Targets generator : one layer for actual interval with different trend. "Channel Kroll" : - I "hijack" the Chande Kroll Stop formula with custom parameters for generate this channel. Overall, it works like other types of channels like BB, etc... A midline and two borders. The thickness of the borders are relatively important here. A thick border shows some resistance of the area. And so the probability of seeing the market return to its first contact is stronger. While a very thin and vertical border would rather play the role of a breach, a bit like the idea of gaps. Often the market seems to want to go after several cycles. You can activate its Large TimeFrame version, its midline is strong and fine borders helps to judge the risk. SARget + "SAR Limited" : - (S.A.R + targets) The philosophy of this function is simple... When a small cycle is broken, it creates a mark on a higher cycle. So on until the SAR called "SAR Limited". For simplicity, imagine a fractal image but inverted ... Break the small figure, it will mark the larger figure at this time but to get there you still have to make the way to the small figure. Targets are : cross ("+") for fast targets(hidden by default because, theire work only on lower interval), squares (for medium trend), Xcross(for large trend) and red cross(they try to find a large contexte). When a target proc, it is for later (market need some cycles for going to, but it is relative to your interval). This gives you speculative goals. Why 2 targets for a same type and a triangle with a 90deg angle : This give a potential area for management.The triangle help to visualize the SAR and to juge the market reaction. You need to adapte your trade with that... Targets may be slightly too far because I am a bad coder... Currently the targets appear at the moment of rupture but it would be necessary to wait for the end of the breaking movement. Which can bring a positional error if the break is violent. RnG and LTF RnG : - Attempt to generate a Fibo range for each cycle and see interressing areas to enter or exit. This is played with the same philosophy as the Fibo extensions and retracement. When a new RnG is generated, do not rush. It appears showing 50/50 for both sides. When a new RnG is generated, do not rush. It appears showing 50/50 for both sides. As long as the market is out of the middle zone (the 3 lines) keep in mind the past RnG. When the market is out of range, you can use the FibRetracement tool for have extensions. One point at each end, as on the presentation graph. (Values 1.14, 1.272, 1.414, 1.618, 1.786, 2, 2.4 and 4 work well.) If too extrem you can active the LTF version. Never fomo a break, market like to pull a level... Observe and be patient. It's easier to use than to explain xD NB : Do not use the LTF as context. For this, it is better to look at a higher interval. I invite you to look in the style tab of the script and deselect the plots named UNCHECKEME, this will ease your browser.
อินดิเคเตอร์ Pine Script®
โดย Twigho
2
Amazing Crossover System - 100+ pips per day!I got the main concept for this system on another site. While I have made one important change, I must stress that the heart of this system was created by someone else! We must give credit where credit is due! Y'all know baby pips. @ForexPhantom published about this system and did both back and forward test around 10 years ago. I found it on the sit and now I put it to code to see how it performs. I assume 10 points spread for every trade. I use Renesource or AxiTrader to get the low spreads. There are 2 mods, the single trades and constant trading on the direction. Main concept Indicators 5 EMA -- YELLOW 10 EMA -- RED RSI (10 - Apply to Median Price: HL/2) -- One level at 50. TIME FRAME 1 Hour Only (very important!) PAIRS Virtually any pair seems to work as this is strictly technical analysis. I recommend sticking to the main currencies and avoiding cross currencies (just his preference). WHEN TO ENTER A TRADE Enter LONG when the Yellow EMA crosses the Red EMA from underneath. RSI must be approaching 50 from the BOTTOM and cross 50 to warrant entry. Enter SHORT when the Yellow EMA crosses the Red EMA from the top. RSI must be approaching 50 from the TOP and cross 50 to warrant entry. I've attached a picture which demonstrates all these conditions. That's it! f.bpcdn.co
กลยุทธ์ Pine Script®
โดย DevLucem
7
MFIww MFI/RSI_v2[wozdux]A new version of the indicator Mfi_v2. Added new control parameters. tt - the averaging period of the volume. Len - the period for calculating the MPI. nn-averaging period MFI (blue line). level-critical levels from below and above (black horizontal lines). Level 0 or 50 - switch between different histogram views with the middle at either level 50 or level 0. key level-key to remove black critical levels. key ema (MFI, nn) - key to remove mfi averaging (blue line). key color-key to remove histogram coloring. key colomns a-line - key switching modes represent the mfi histrogram or line. --------------------------- Новая версия индикатора MFIww_v2. Добавлены новые управляющие параметры. tt- период усреднения объема. Len - период вычисления MFI. nn- период усреднения MFI (голубая линия). level- критические уровни снизу и сверху (черные горизонтальные линии). Level 0 or 50 - переключение между разными представлениями гистрограммы с серединой либо на уровне 50 , либо на уровне 0. key level- ключ убрать черные критические уровни. key ema(mfi,nn) - ключ убрать усреднение mfi (голубая линия). key color- ключ убрать расцветку гистрограммы. key colomns-line - ключ переключения режимов представления mfi гистрограммой или линией.
อินดิเคเตอร์ Pine Script®
โดย wozdux
GoTiT|Simple Auto Fib v1.0Simple Auto Fib! Notes: 1. Always set the trend manually! Don't rely on the auto trend detection. 2. The first parameter Length sets the number of candles back (left) to search for highs and lows from the current candle. 3. The High Offset parameter sets the number of candles back (left) to ignore/skip before searching for highs. 4. The Low Offset parameter sets the number of candles back (left) to ignore/skip before searching for lows. 5. The offset parameters change the behavior of the Length parameter. Example 1: Length = 100 High Offset = 0 Low Offset = 0 This is the default behavior, and the search for highs and lows occurs on the last 100 candles. Example 2: Length = 50 High Offset = 20 (Ignore the last 20 candles, and search for highs starting at candle 21 to 71 (or 50 candles back) Low Offset = 15 (Ignore the last 15 candles, and search for lows starting at candle 16 to 66 (or 50 candles back) In example 2, search starts on candle 21 for highs, and candle 16 for lows and extends 50 candles further back from there. 6. The Trend Detection parameter sets the number of candles back (left) to use in the trend calculations. Larger values give better "marco trend" detection. Smaller values give better "micro trend" detection. See note #1. 7. The white fib line is fib0. Assuming you correctly set the trend manually (or the trend is auto detected correctly), in a downtrend fib0 should be bellow the red fib line, and in an uptrend fib0 should be above the red fib line.
อินดิเคเตอร์ Pine Script®
โดย gotit
MACD + Stochastic + RSI (Long + Short)My strategy uses a combination of three indicators MACD Stochastic RSI . The Idea is to GO LONG when ( MACD > Signal and RSI > 50 and Stochastic > 50) occures at the same time and GO SHORT when ( MACD < Signal and RSI < 50 and Stochastic < 50) This strategy works well on futures and stocks especially during market breaking up after consolidation The best results are on Daily charts , so its NOT a scalping strategy. But it can work also on 1H charts. The strategy does not have any stops and profit targets, so we can take all the market can give us at the moment. The exit point only when MACD goes under/over Signal line Its Preformance is quite stable. So, use it, trade it. If it will help you to imprive your trading results, please donate me BTC: 12kd1F8buWisUBdq27BBwRkUvzW7Ey3og5
กลยุทธ์ Pine Script®
โดย x001tk
8
Trend Lines and MoreMulti-Indicator consisting of several useful indicators in a single package. TREND LINES -By default the 20 SMA and 50 SMA are shown. -Use "MOVING AVERAGE TYPE" to select SMA, EMA, Double-EMA, Triple-EMA, or Hull. -Use "50 MA TREND COLOR" to have the 50 turn green/red for uptrend/downtrend. -Use "DAILY SOURCE ONLY" to always show daily averages regardless of timeframe. -Use "SHOW LONG MA" to also include 100, 150, and 200 moving averages. -Use "SHOW MARKERS" to show a small colored marker identifying which line is which. OTHER INDICATORS -You can show Bollinger Bands and Parabolic SAR. -You can highlight key reversal times (9:50-10:10 and 14:40-15:00). -You can show price offset markers, where was the price "n" periods ago. That last one is useful to show the level of prices which are about to "fall off" the moving average and be replaced with current price. So for example, if current price is significantly below the 200-days-ago price, you can gauge the difficulty for the 200 MA to start climbing again.
อินดิเคเตอร์ Pine Script®
โดย nj_guy72
4
Multi SMA EMA WMA HMA BB (4x3 MAs Bollinger Bands) Pro MTF - RRBMulti SMA EMA WMA HMA 4x3 Moving Averages with Bollinger Bands Pro MTF by RagingRocketBull 2018 Version 1.0 This indicator shows multiple MAs of any type SMA EMA WMA HMA etc with BB and MTF support, can show MAs as dynamically moving levels. There are 4 MA groups + 1 BB group. You can assign any type/timeframe combo to a group, for example: - EMAs 50,100,200 x H1, H4, D1, W1 (4 TFs x 3 MAs x 1 type) - EMAs 8,13,21,55,100,200 x M15, H1 (2 TFs x 6 MAs x 1 type) - D1 EMAs and SMAs 12,26,50,100,200,400 (1 TF x 6 MAs x 2 types) - H1 WMAs 7,77,231; H4 HMAs 50,100,200; D1 EMAs 144,169,233; W1 SMAs 50,100,200 (4 TFs x 3 MAs x 4 types) - +1 extra MA type/timeframe for BB compile time: 25-30 sec full redraw time after parameter change in UI: 3 sec There are several versions: Simple, MTF, Pro MTF, Advanced MTF and Ultimate MTF. This is the Pro MTF version. The Differences are listed below. All versions have BB - Simple: you have 2 groups of MAs that can be assigned any type (5+5) - MTF: +2 custom Timeframes for each group (2x5 MTF) - Pro MTF: +4 custom Timeframes for each group (4x3 MTF), MA levels and show max bars back options - Advanced MTF: +2 extra MAs/group (4x5 MTF), custom Ticker/Symbol, backreferences for type, TF and MA lengths in UI - Ultimate MTF: +individual settings for each MA, custom Ticker/Symbols Features: - 4x3 = 12 MAs of any type including Hull Moving Average (HMA) - 4x MTF groups with step line smoothing - BB +1 extra TF/type for BB MAs - 12 MA levels with adjustable group offsets, indents and shift - show max bars back - you can show/hide both groups of MAs/levels and individual MAs Notes: 1. based on 3EmaBB, uses plot*, barssince and security functions 2. you can't set certain constants from input due to Pinescript limitations - change the code as needed, recompile and use as a private version 3. Levels = trackprice implementation 4. Show Max Bars Back = show_last implementation 5. uses timeframe textbox instead of input resolution to allow for 120 240 and other custom TFs. Also supports TFs in hours: 2H or H2 6. swma has a fixed length = 4, alma and linreg have additional offset and smoothing params 7. Smoothing is applied by default for visual aesthetics on MTF. To use exact ma mtf values (lines with stair stepping) - disable it MTF Notes: - uses simple timeframe textbox instead of input resolution dropdown to allow for 120, 240 and other custom TFs, also supports timeframes in H: 2H, H2 - Groups that are not assigned a Custom TF will use Current Timeframe (0). - MTF will work for any MA type assigned to the group - MTF works both ways: you can display a higher TF MA/BB on a lower TF or a lower TF MA/BB on a higher TF. - MTF MA values are normally aligned at the boundary of their native timeframe. This produces stair stepping when a higher TF MA is viewed on a lower TF. Therefore X Y Point Density/Smoothing is applied by default on MA MTF for visual aesthetics. Set both to 0 to disable and see exact ma mtf values (lines with stair stepping and original mtf alignment). - Smoothing is disabled for BB MTF bands because fill doesn't work with smoothed MAs after duplicate values are replaced with na. - MTF MA Value fluctuation is possible on the current bar due to default security lookahead Smoothing: - X,Y == 0 - X,Y smoothing disabled (stair stepping on high TFs) - X == 0, Y > 0 - X,Y smoothing applied to all TFs - Y == 0, X > 0 - X smoothing applied to all TFs < deltaX_max_tf, Y smoothing disabled - X > 0, Y > 0 - Y smoothing applied to all TFs, then X smoothing applied to all TFs < deltaX_max_tf X Smoothing with Y == 0 - shows only every deltaX-th point starting from the first bar. X Smoothing with Y > 0 - shows only every deltaX-th point starting from the last shown Y point, essentially filling huge gaps remaining after Y Smoothing with points and preserving the curve's general shape X Smoothing on high TFs with already scarce points produces weird curve shapes, it works best only on high density lower TFs Y Smoothing reduces points on all TFs, removes adjacent points with prices within deltaY, while preserving the smaller curve details. A combination of X,Y produces the most accurate smoothing. Higher delta value - larger range, more points removed. Show Max Bars Back: - can't set plot show_last from input -> implemented using a timenow based range check - you can't delete/modify history once plotted, so essentially it just sets a start point for plotting (from num_bars bars back) that works only in realtime mode (not in replay) Levels: You can plot current MA value using plot trackprice=true or by checking Show Price Line in Style. Problem is: - you can only change color (not the dashed line style, width), have both ma + price line (not just the line), and it's full screen wide - you can't set plot trackprice from input => implemented using plotshape/plotchar with fixed text labels serving as levels - there's no other way of creating a dynamic level: hline, plot, offset - nothing else works. - you can't plot a text var - all text strings must be constants, so you can't change the style, width and text labels without recompiling. - from input you can only adjust offset, indent and shift for each level group, and change color - the dot below each level line is the exact MA value. If you want just the line swap plotshape with plotchar, recompile and save as your private version, adjust Y shift. To speed up redraw times: reduce last_bars to ~2000, recompile and use as your own private version Pinescript is a rudimentary language (should be called Painscript instead) that can basically only plot data. You can't do much else. Please see the code for tips and hints. Certain things just can't be done or require shady workarounds and weeks of testing trying to resolve weird node.js compiler errors. Feel free to learn from/reuse/change the code as needed and use as your own private version. See comments in code. Good Luck!
อินดิเคเตอร์ Pine Script®
โดย RagingRocketBull
7
Simple_longshort_signalsLong Entry Criteria: 1) Green candle close above 50MA 2) Green candle close above 20MA 3) MA of RSI(14) is cross upward 50 Result: displays green up arrow Long Exit Criteria: 1) Three red candles in a row 2) Any candle close bellow 20MA 3) MA of RSI(14) cross downward 50 Result: displays green diamond Short Entry 1) Red candle close bellow 50MA 2) Red candle close bellow 20MA 3) MA of RSI(14) is cross downward 50 Result: displays red down arrow Short Exit Criteria 1) Three green candles in a row 2) Any candle close above 20MA 3) MA of RSI(14) is cross upward 50 Result: displays red diamond
อินดิเคเตอร์ Pine Script®
โดย kokosro
1
GoldenCross by PuffyThis is a simple trading strategy that seeks the Golden Cross and Death Cross on the 4HR chart. The fast moving indicator in this strategy is the EMA 50 and the slow moving indicator is the EMA 200. When the EMA 50 crosses over the EMA 200 the strategy indicates a buy. When the EMA 50 crosses below the EMA 200 the strategy indicates a sell. This strategy averages trades in the 40 - 50 day range and as such should not be used with heavy leverage.
กลยุทธ์ Pine Script®
โดย Puffy23
6
Exponential Moving Average (Set of 3) [Krypt] + 13/34 EMAsI took Krypt's script and essentially added on to it. the 20/50/100/200 EMAs should be used together as support and resistance as normal. Wait for price to break 200 EMA Wait for 50 EMA to cross 200 EMA Wait for pullback to 50 EMA to open position 20 and 100 EMAs are for extra information about moving support and resistance and 13/34 EMAs should be used in conjunction When 13 EMA crosses 34 EMA, open position When price gets far from 13/34, close position (because price will attempt to revert back to mean) This is better for scalping and swing trades than the 20/50/100/200 setup. Twitter: @AzorAhai06
อินดิเคเตอร์ Pine Script®
โดย AzorAhai06
Price vs VolImproved version of OBV/price (this one actually works) Both lines show where price is going relative to volume metrics (one line uses OBV, the other uses accumulation/distribution). Green and above 50 means price is rising faster then buying volume Red and below 50 means price is falling faster then selling volume you can add smoothing in the controls and color will go according to raw (even if smoothing goes above/below 50) under the hood: changes price, OBV and AD to RSI for comparability, calculates the difference between price and the others, then an RSI on the result to create an <50< style indicator. this script replaces the previouse from:
อินดิเคเตอร์ Pine Script®
โดย gb50k
1
AG Pro Crypto Screener & Signal Dashboard🚀 OVERVIEW Welcome to the AG Pro Crypto Screener & Signal Dashboard, an institutional-grade scanner designed to find high-probability buy opportunities in the chaotic crypto market. This powerful tool is being offered completely free as an introduction to the precision and performance of the exclusive AG Pro series. Tired of manually flipping through dozens of charts? This dashboard is your new command center. It simultaneously scans up to 40 crypto assets against a robust, multi-filter strategy. It filters out the noise and delivers a clean, actionable list of symbols that are showing combined signs of strength, momentum, and a confirmed uptrend. 🧠 THE CORE STRATEGY: A Multi-Filter Confluence This screener doesn't rely on a single, weak indicator. A symbol only appears on the "Buy List" if it passes a strict, user-configurable set of confluence filters: Bullish EMA Crossover: Confirms a new, bullish shift in short-term momentum by looking for a recent crossover of a Fast EMA over a Slow EMA (e.g., 20/50). The "Freshness" feature ensures the signal is recent. RSI Momentum Filter: Ensures the asset has strong buying momentum. The signal is only valid if the RSI is above a specified level (e.g., > 50). Long-Term Trend Filter: This is the most critical filter. It keeps you on the right side of the market by confirming the price is above a key long-term Moving Average (e.g., SMA 50, 100, 200). You trade with the trend, not against it. MACD Crossover (Optional): For traders who want an extra layer of confirmation, you can enable a filter to check for a bullish MACD crossover. Only when all selected conditions are met does the asset appear on your dashboard. This multi-layered approach is designed to find quality over quantity. ✨ KEY FEATURES Dynamic 40-Symbol Scanner: Monitor your entire watchlist (up to 40 symbols) from a single chart. Professional Signal Dashboard: A clean, sortable table displaying all active signals, last price, RSI value, and volume. "Freshness" & "Trend" Icons: Instantly gauge signal quality. Freshness: See how many bars ago the signal appeared (🔥 Hot / ❇️ Fresh / ⏳ Old). Trend: A clear visual icon shows if the asset is in a long-term uptrend (🔼) or downtrend (🔽). NEW Signal Alerts: Don't miss an opportunity. Set an alert to be notified only when a new symbol appears on the list. This non-intrusive system avoids constant, repetitive alerts. Fully Customizable Strategy: You are in control. Toggle any of the four main filters (EMA, RSI, Trend, MACD) on or off. Adjust all indicator lengths (EMAs, RSI, MACD, and Trend MA) to fit your trading style. Reliable "On-Close" Signaling: Includes an option to generate signals only on bar close, ensuring high-quality, non-repainting signals. Clean UI: Adjustable table text size ("Tiny", "Small", "Normal", "Large") for perfect visibility on any setup. 💎 THE AG PRO DIFFERENCE This free screener is just the beginning. It's a demonstration of the stable, high-performance, and results-driven philosophy that defines the AG Pro brand. We believe in empowering traders with tools that provide a clear, statistical edge. While this screener is powerful, our private, premium AG Pro scripts (such as the AG Pro Trading Suite) offer a complete, institutional-grade solution for serious traders. These advanced tools feature predictive models, proprietary signal algorithms, and comprehensive risk management modules that are the result of years of professional development. If you find value in this free tool, imagine what our full suite can do for your trading. We invite you to experience the next level of trading precision. 🛠️ HOW TO USE Add the "🏆 AG Pro Crypto Screener & Signal Dashboard V3" to your chart. Open the indicator's Settings. Under the "Symbol List to Scan" tab, replace the default symbols with your own 40 preferred assets (e.g., "BINANCE:BTCUSDT", "BINANCE:ETHUSDT", "COINBASE:SOLUSD"). Under the "Filter Settings" tab, configure your desired strategy. You can start with the defaults or customize them. (Recommended) Right-click the table and select "Create Alert". Choose the "NEW BUY" condition and "Once Per Bar Close" to be notified of new signals. ⚠️ DISCLAIMER This script is provided for informational and educational purposes only. It does not constitute financial or investment advice. All trading involves significant risk, and past performance is not indicative of future results. Please conduct your own research and implement your own risk management strategy before making any trading decisions.
อินดิเคเตอร์ Pine Script®
โดย AGProLabs
0DTE Options - Iron Condor & ButterflyTo help options traders: Plan and structure Iron Condor or Butterfly spreads in “Setup Mode.” Track live trades, including P&L, breach risk, and strike distances, in “Live Mode.” Visualize the trade on the price chart with profit zones, breakeven lines, strike markers, and alerts. Evaluate market conditions using IV Rank, ATR-based range modeling, and modeled Delta approximation. Essentially, it turns your TradingView chart into an options risk graph + planning terminal. ⚙️ Core Modes of Operation 🧱 1. Setup Mode Used for planning new trades. It automatically suggests strikes based on: ATR (volatility proxy) IV Rank Target Delta Chosen risk tier (High / Mid / Low / Delta) You can: Preview recommended short and long strikes. See estimated credit, width, and risk/reward ratios in a setup table. Auto-feed these calculated strikes into the Live Mode to track them later. Example Use: Before market open, choose Setup Mode → Mid Risk Tier → see what strike widths and credits make sense for the day. 📈 2. Live Mode Used to track real trades you’ve already opened. You can: Paste your real trade data (strikes, credits, etc.) into the 📋 paste field. Or auto-feed from Setup Mode (if “Auto-Feed” is enabled). The indicator then plots: Short/long strikes Breakevens Profit/loss zone Real-time breach detection and delta drift Alerts when price nears your strikes or exits your safe zone. Example Use: After opening an Iron Condor on SPX, paste in 626,628,620,618,1.20,1, and the chart visually shows your safe range and warning zones. 🧮 Built-In Calculations 1. IV Rank (Volatility Environment) Uses a 20-day log return volatility model to calculate IV Rank (percentile of volatility over the last 252 bars). You can use this automatically or manually override it if you have data from your broker. → High IV Rank (>50) = better for selling Iron Condors (more premium). 2. ATR (Average True Range) Measures short-term volatility to estimate expected daily price movement. Used in Setup Mode to model distance between strikes. 3. Strike Calculations (Setup Mode) Based on risk tier: High Risk → wide wings, high credit, high potential drawdown Mid Risk → balanced setup Low Risk → narrow wings, safer but less credit Delta Mode → based purely on target delta (e.g., 0.20) Uses ATR × multiplier to determine how far short strikes should be from current price. 4. Credit Estimation Based on strike width × IV Rank multiplier: IV > 50 → 30% of width IV 30–50 → 25% IV < 30 → 20% 5. Profit & Loss Modeling The indicator computes: Max Profit: Iron Condor → credit × 100 × contracts Butterfly → (wing width − debit) × 100 × contracts Max Loss: Iron Condor → width − credit Butterfly → debit × 100 × contracts Breakevens: Iron Condor → short strikes ± credit Butterfly → body ± debit Current P&L: Approximated by where the underlying is relative to the short/long strikes. 6. Delta Modeling Estimates each short strike’s modeled delta based on how far it is from current price. Displays total delta balance to show directional bias. If Delta drifts too high → market imbalance → consider rolling or adjusting. 7. Breach Detection System Automatically classifies your trade as: 🟢 In Range: Price between short strikes (safe zone). 🟠 Near Breach: Price close to short strike (risk zone). 🔴 Breached: Price outside long strike (stop or adjust zone). This dynamically changes color in your profit box and info label. 🎨 Visual Components Element Meaning Color Red Line Put side strikes 🔻 Red Green Line Call side strikes 🔺 Green Yellow Dotted Lines Breakevens 🟡 Yellow Green Box Profit zone 🟩 Light green Orange Box Adjustment zone (near breach) 🟧 Orange Red Box Breach zone 🟥 Red White Line Current price ⚪ White Optional labels display strike details and distances (e.g., “📉 Short Put: 620 – 5 pts away”). 📊 Setup Table (Setup Mode Only) Displays a grid comparing all risk tiers: Tier Short Call Short Put Width Est. Credit R:R High 632 614 4.0 $1.20 0.43 Mid 630 616 3.0 $0.90 0.43 Low 628 618 2.0 $0.60 0.43 Highlighted row = selected risk tier. This lets you compare how wide/narrow each setup is before committing to a trade. 🧾 Info Box (Live Mode) Displays real-time stats such as: 🔶 IRON CONDOR | 1 Contract 📊 Calls: 626 / 628 | Puts: 620 / 618 💵 Credit: $1.20 | 💰 Profit: $120 | 🔴 Loss: $180 ⬆️ BE: 627.2 | ⬇️ BE: 618.8 📍 Current: $623 | 💵 P&L: +$35.00 (+29.1%) 📏 To Short Call: 3 | To Short Put: 3 📊 Delta: 0.05 | IV Rank: 56% (FAVORABLE) 🔴 BREACH STATUS: In Range 🚨 Alerts The indicator generates TradingView alerts for: ⚠️ Approaching Call Zone → nearing short call ⚠️ Approaching Put Zone → nearing short put 🛑 Stop Loss Triggered → current P&L exceeds loss threshold 🟠 Near Breach → price entering adjustment zone 🔴 Breached → price outside protection (long strikes) These alerts can be used with TradingView notifications or webhooks. 🧠 How to Use It Step-by-Step A. Planning (Setup Mode) Set mode to “Setup.” Adjust: Risk Tier (High / Mid / Low / Delta) Target Delta (0.15–0.30 recommended) Strike Interval (e.g., 1.0 or 5.0) Check Setup Table → see suggested strikes & credits. Optionally toggle Auto-Feed → Live to send to live mode later. B. Executing (Broker) Confirm and enter your trade in your brokerage (use the strikes shown). Record your strikes, net credit/debit, and number of contracts. C. Tracking (Live Mode) Switch to “Live” mode. Paste your strikes in the 📋 Paste Data field: Iron Condor Example: 626,628,620,618,1.20,1 Butterfly Example: 600,620,640,2.50,2 The chart updates: Lines = your strikes Boxes = profit/risk zones Labels = strike info, distance to price Info box = P&L, delta, IV rank, breach status Set alerts for automatic notifications. D. Managing the Trade When the chart turns orange or red, you’re approaching or breaching a strike. Use this signal to roll, hedge, or close your trade. Monitor Gamma Risk: warning appears when price nears short strikes (explosive delta risk). 📌 Summary Feature Description Mode Switching Plan (Setup) or Track (Live) IV Rank & ATR Modeling Estimates volatility environment Auto Strike Planning Suggests strikes based on risk/delta Visual Range Map Profit, breakeven, and adjustment zones Real-Time Alerts Warns when nearing or breaching strikes Trade Info Box Displays live risk, reward, delta, IV, and P&L Setup Table Compares setups across risk tiers Fully Configurable Works for Iron Condors or Butterflies
อินดิเคเตอร์ Pine Script®
โดย Prospecttrades
2
Iron Condor & Butterfly VisualizerIt helps you visualize and manage your option spread by: Plotting strike prices and breakeven lines directly on the chart. Showing profit/loss zones, adjustment zones, and alerts when price nears critical levels. Calculating risk/reward, probability of profit, theta decay, IV condition, and trade score. 🎯 2. Inputs & Configuration You input your trade details as a comma-separated string: For an Iron Condor ShortCall, LongCall, ShortPut, LongPut, Credit, Contracts, Target% Example: 626,628,620,618,1.20,1,30 For a Butterfly Spread LowerWing, Body, UpperWing, Debit, Contracts, Target% Example: 600,620,640,2.50,2,50 The indicator automatically parses this and knows which strategy type you selected. You can also control: Visuals (profit zones, breakevens, labels) Risk (stop loss %, adjustment zones) Account/risk sizing Market conditions (IV Rank, current IV, DTE) ⚙️ 3. Data Parsing & Strategy Recognition The code reads your pasted string, splits it by commas, and determines: Which strikes are short vs long (or wings/body for Butterfly) Whether the strategy is credit (Iron Condor) or debit (Butterfly) Calculates net credit/debit, contract size, and profit target 📈 4. Profit/Loss Calculations It dynamically calculates: Max Profit Iron Condor: net credit × 100 × contracts Butterfly: (wing width − debit) × 100 × contracts Max Loss Iron Condor: difference between strikes minus credit Butterfly: debit × 100 × contracts Breakeven points Iron Condor: short strikes ± net credit Butterfly: body ± debit Current P&L relative to the live price (close). ⚖️ 5. Risk & Position Sizing It checks: Stop-loss trigger (% of max loss) Adjustment alert if price nears short strikes Recommended contract size based on account size and % risk per trade Actual % of account at risk ⏱️ 6. Time Decay & IV Analysis If you input days to expiration, it shows: Theta (approx daily time decay) Decay progress bar (% of 30-day cycle) IV condition: Green: favorable (>50 IV Rank) Yellow: neutral (30–50) Red: poor (<30) 🧮 7. Trade Scoring It gives a Trade Score (0–100) based on: IV Rank (favorable market) Risk/Reward ratio Probability of profit Default 20 baseline points This helps gauge whether the setup is statistically attractive. 🧠 8. Visualizations When the indicator runs, it draws on your chart: Lines Red = short strikes Orange dashed = long strikes Yellow dotted = breakeven levels Boxes Green = profit zone Orange shaded = adjustment zones (approaching danger) Labels (optional) Strike labels (call/put prices) Info box summarizing: Profit, loss, risk/reward Breakevens, theta, target, gamma risk flag 🚨 9. Alerts The script triggers TradingView alerts when: Price nears call or put adjustment zones Profit target is hit Stop loss is hit These help you manage the trade without constant monitoring. 🧭 10. In Practice You’d: Copy the option strikes and trade details from your broker or analyzer. Paste them into 📋 PASTE YOUR TRADE DATA HERE. The indicator plots: Profit/loss region Adjustment warnings Key metrics Alerts if your trade is in danger or near target.
อินดิเคเตอร์ Pine Script®
โดย Prospecttrades
Is it Time for a Pullback? Check Bars Since MA TestAn old market adage declares that “prices never move in a straight line.” Dips occur even in bullish markets. But how can traders know when prices may be due for a pullback? Today’s script tries to answer that question by asking how many bars have passed since a stock, index or other symbol has tested a given moving average. Long periods of time without touching a line such as the 50-day simple moving average, for example, could prompt traders to be more patient. Bars Since MA Test counts how many bars have passed since prices touched or crossed the MA in question. The resulting value is plotted in a simple histogram. Users can set the MA length and type. By default, it uses the 50-day simple moving average (SMA). The chart above applies Bars Since MA Test to the S&P 500. It shows that the index has gone 129 bars without testing its 50-day SMA. That’s the longest since a 146-bar stretch between July 2006 and February 2007. Other longer runs include January-August 1995 (156 bars), November 1960-June 1961 (144 bars) and April-November 1958 (158 bars). Given the small number of comparable readings, could traders suspect the current advance is getting long in the tooth? TradeStation has, for decades, advanced the trading industry, providing access to stocks, options and futures. If you're born to trade, we could be for you. See our Overview for more. Past performance, whether actual or indicated by historical tests of strategies, is no guarantee of future performance or success. There is a possibility that you may sustain a loss equal to or greater than your entire investment regardless of which asset class you trade (equities, options or futures); therefore, you should not invest or risk money that you cannot afford to lose. Online trading is not suitable for all investors. View the document titled Characteristics and Risks of Standardized Options at www.TradeStation.com . Before trading any asset class, customers must read the relevant risk disclosure statements on www.TradeStation.com . System access and trade placement and execution may be delayed or fail due to market volatility and volume, quote delays, system and software errors, Internet traffic, outages and other factors. Securities and futures trading is offered to self-directed customers by TradeStation Securities, Inc., a broker-dealer registered with the Securities and Exchange Commission and a futures commission merchant licensed with the Commodity Futures Trading Commission). TradeStation Securities is a member of the Financial Industry Regulatory Authority, the National Futures Association, and a number of exchanges. TradeStation Securities, Inc. and TradeStation Technologies, Inc. are each wholly owned subsidiaries of TradeStation Group, Inc., both operating, and providing products and services, under the TradeStation brand and trademark. When applying for, or purchasing, accounts, subscriptions, products and services, it is important that you know which company you will be dealing with. Visit www.TradeStation.com for further important information explaining what this means.
อินดิเคเตอร์ Pine Script®
โดย TradeStation
Scientific Correlation Testing FrameworkScientific Correlation Testing Framework - Comprehensive Guide Introduction to Correlation Analysis What is Correlation? Correlation is a statistical measure that describes the degree to which two assets move in relation to each other. Think of it like measuring how closely two dancers move together on a dance floor. Perfect Positive Correlation (+1.0): Both dancers move in perfect sync, same direction, same speed Perfect Negative Correlation (-1.0): Both dancers move in perfect sync but in opposite directions Zero Correlation (0): The dancers move completely independently of each other In financial markets, correlation helps us understand relationships between different assets, which is crucial for: Portfolio diversification Risk management Pairs trading strategies Hedging positions Market analysis Why This Script is Special This script goes beyond simple correlation calculations by providing: Two different correlation methods (Pearson and Spearman) Statistical significance testing to ensure results are meaningful Rolling correlation analysis to track how relationships change over time Visual representation for easy interpretation Comprehensive statistics table with detailed metrics Deep Dive into the Script's Components 1. Input Parameters Explained- Symbol Selection: This allows you to select the second asset to compare with the chart's primary asset Default is Apple (NASDAQ:AAPL), but you can change this to any symbol Example: If you're viewing a Bitcoin chart, you might set this to "NASDAQ:TSLA" to see if Bitcoin and Tesla are correlated Correlation Window (60): This is the number of periods used to calculate the main correlation Larger values (e.g., 100-500) provide more stable, long-term correlation measures Smaller values (e.g., 10-50) are more responsive to recent price movements 60 is a good balance for most daily charts (about 3 months of trading days) Rolling Correlation Window (20): A shorter window to detect recent changes in correlation This helps identify when the relationship between assets is strengthening or weakening Default of 20 is roughly one month of trading days Return Type: This determines how price changes are calculated Simple Returns: (Today's Price - Yesterday's Price) / Yesterday's Price Easy to understand: "The asset went up 2% today" Log Returns: Natural logarithm of (Today's Price / Yesterday's Price) More mathematically elegant for statistical analysis Better for time-additive properties (returns over multiple periods) Less sensitive to extreme values. Confidence Level (95%): This determines how certain we want to be about our results 95% confidence means we accept a 5% chance of being wrong (false positive) Higher confidence (e.g., 99%) makes the test more strict Lower confidence (e.g., 90%) makes the test more lenient 95% is the standard in most scientific research Show Statistical Significance: When enabled, the script will test if the correlation is statistically significant or just due to random chance. Display options control what you see on the chart: Show Pearson/Spearman/Rolling Correlation: Toggle each correlation type on/off Show Scatter Plot: Displays a scatter plot of returns (limited to recent points to avoid performance issues) Show Statistical Tests: Enables the detailed statistics table Table Text Size: Adjusts the size of text in the statistics table 2.Functions explained- calcReturns(): This function calculates price returns based on your selected method: Log Returns: Formula: ln(Price_t / Price_t-1) Example: If a stock goes from $100 to $101, the log return is ln(101/100) = ln(1.01) ≈ 0.00995 or 0.995% Benefits: More symmetric, time-additive, and better for statistical modeling Simple Returns: Formula: (Price_t - Price_t-1) / Price_t-1 Example: If a stock goes from $100 to $101, the simple return is (101-100)/100 = 0.01 or 1% Benefits: More intuitive and easier to understand rankArray(): This function calculates the rank of each value in an array, which is used for Spearman correlation: How ranking works: The smallest value gets rank 1 The second smallest gets rank 2, and so on For ties (equal values), they get the average of their ranks Example: For values Sorted: Ranks: (the two 2s tie for ranks 1 and 2, so they both get 1.5) Why this matters: Spearman correlation uses ranks instead of actual values, making it less sensitive to outliers and non-linear relationships. pearsonCorr(): This function calculates the Pearson correlation coefficient: Mathematical Formula: r = (nΣxy - ΣxΣy) / √ Where x and y are the two variables, and n is the sample size What it measures: The strength and direction of the linear relationship between two variables Values range from -1 (perfect negative linear relationship) to +1 (perfect positive linear relationship) 0 indicates no linear relationship Example: If two stocks have a Pearson correlation of 0.8, they have a strong positive linear relationship When one stock goes up, the other tends to go up in a fairly consistent proportion spearmanCorr(): This function calculates the Spearman rank correlation: How it works: Convert each value in both datasets to its rank Calculate the Pearson correlation on the ranks instead of the original values What it measures: The strength and direction of the monotonic relationship between two variables A monotonic relationship is one where as one variable increases, the other either consistently increases or decreases It doesn't require the relationship to be linear When to use it instead of Pearson: When the relationship is monotonic but not linear When there are significant outliers in the data When the data is ordinal (ranked) rather than interval/ratio Example: If two stocks have a Spearman correlation of 0.7, they have a strong positive monotonic relationship When one stock goes up, the other tends to go up, but not necessarily in a straight-line relationship tStatistic(): This function calculates the t-statistic for correlation: Mathematical Formula: t = r × √((n-2)/(1-r²)) Where r is the correlation coefficient and n is the sample size What it measures: How many standard errors the correlation is away from zero Used to test the null hypothesis that the true correlation is zero Interpretation: Larger absolute t-values indicate stronger evidence against the null hypothesis Generally, a t-value greater than 2 (in absolute terms) is considered statistically significant at the 95% confidence level criticalT() and pValue(): These functions provide approximations for statistical significance testing: criticalT(): Returns the critical t-value for a given degrees of freedom (df) and significance level The critical value is the threshold that the t-statistic must exceed to be considered statistically significant Uses approximations since Pine Script doesn't have built-in statistical distribution functions pValue(): Estimates the p-value for a given t-statistic and degrees of freedom The p-value is the probability of observing a correlation as strong as the one calculated, assuming the true correlation is zero Smaller p-values indicate stronger evidence against the null hypothesis Standard interpretation: p < 0.01: Very strong evidence (marked with **) p < 0.05: Strong evidence (marked with *) p ≥ 0.05: Weak evidence, not statistically significant stdev(): This function calculates the standard deviation of a dataset: Mathematical Formula: σ = √(Σ(x-μ)²/(n-1)) Where x is each value, μ is the mean, and n is the sample size What it measures: The amount of variation or dispersion in a set of values A low standard deviation indicates that the values tend to be close to the mean A high standard deviation indicates that the values are spread out over a wider range Why it matters for correlation: Standard deviation is used in calculating the correlation coefficient It also provides information about the volatility of each asset's returns Comparing standard deviations helps understand the relative riskiness of the two assets. 3.Getting Price Data- price1: The closing price of the primary asset (the chart you're viewing) price2: The closing price of the secondary asset (the one you selected in the input parameters) Returns are used instead of raw prices because: Returns are typically stationary (mean and variance stay constant over time) Returns normalize for price levels, allowing comparison between assets of different values Returns represent what investors actually care about: percentage changes in value 4.Information Table- Creates a table to display statistics Only shows on the last bar to avoid performance issues Positioned in the top right of the chart Has 2 columns and 15 rows Populating the Table The script then populates the table with various statistics: Header Row: "Metric" and "Value" Sample Information: Sample size and return type Pearson Correlation: Value, t-statistic, p-value, and significance Spearman Correlation: Value, t-statistic, p-value, and significance Rolling Correlation: Current value Standard Deviations: For both assets Interpretation: Text description of the correlation strength The table uses color coding to highlight important information: Green for significant positive results Red for significant negative results Yellow for borderline significance Color-coded headers for each section => Practical Applications and Interpretation How to Interpret the Results Correlation Strength 0.0 to 0.3 (or 0.0 to -0.3): Weak or no correlation The assets move mostly independently of each other Good for diversification purposes 0.3 to 0.7 (or -0.3 to -0.7): Moderate correlation The assets show some tendency to move together (or in opposite directions) May be useful for certain trading strategies but not extremely reliable 0.7 to 1.0 (or -0.7 to -1.0): Strong correlation The assets show a strong tendency to move together (or in opposite directions) Can be useful for pairs trading, hedging, or as a market indicator Statistical Significance p < 0.01: Very strong evidence that the correlation is real Marked with ** in the table Very unlikely to be due to random chance p < 0.05: Strong evidence that the correlation is real Marked with * in the table Unlikely to be due to random chance p ≥ 0.05: Weak evidence that the correlation is real Not marked in the table Could easily be due to random chance Rolling Correlation The rolling correlation shows how the relationship between assets changes over time If the rolling correlation is much different from the long-term correlation, it suggests the relationship is changing This can indicate: A shift in market regime Changing fundamentals of one or both assets Temporary market dislocations that might present trading opportunities Trading Applications 1. Portfolio Diversification Goal: Reduce overall portfolio risk by combining assets that don't move together Strategy: Look for assets with low or negative correlations Example: If you hold tech stocks, you might add some utilities or bonds that have low correlation with tech 2. Pairs Trading Goal: Profit from the relative price movements of two correlated assets Strategy: Find two assets with strong historical correlation When their prices diverge (one goes up while the other goes down) Buy the underperforming asset and short the outperforming asset Close the positions when they converge back to their normal relationship Example: If Coca-Cola and Pepsi are highly correlated but Coca-Cola drops while Pepsi rises, you might buy Coca-Cola and short Pepsi 3. Hedging Goal: Reduce risk by taking an offsetting position in a negatively correlated asset Strategy: Find assets that tend to move in opposite directions Example: If you hold a portfolio of stocks, you might buy some gold or government bonds that tend to rise when stocks fall 4. Market Analysis Goal: Understand market dynamics and interrelationships Strategy: Analyze correlations between different sectors or asset classes Example: If tech stocks and semiconductor stocks are highly correlated, movements in one might predict movements in the other If the correlation between stocks and bonds changes, it might signal a shift in market expectations 5. Risk Management Goal: Understand and manage portfolio risk Strategy: Monitor correlations to identify when diversification benefits might be breaking down Example: During market crises, many assets that normally have low correlations can become highly correlated (correlation convergence), reducing diversification benefits Advanced Interpretation and Caveats Correlation vs. Causation Important Note: Correlation does not imply causation Example: Ice cream sales and drowning incidents are correlated (both increase in summer), but one doesn't cause the other Implication: Just because two assets move together doesn't mean one causes the other to move Solution: Look for fundamental economic reasons why assets might be correlated Non-Stationary Correlations Problem: Correlations between assets can change over time Causes: Changing market conditions Shifts in monetary policy Structural changes in the economy Changes in the underlying businesses Solution: Use rolling correlations to monitor how relationships change over time Outliers and Extreme Events Problem: Extreme market events can distort correlation measurements Example: During a market crash, many assets may move in the same direction regardless of their normal relationship Solution: Use Spearman correlation, which is less sensitive to outliers Be cautious when interpreting correlations during extreme market conditions Sample Size Considerations Problem: Small sample sizes can produce unreliable correlation estimates Rule of Thumb: Use at least 30 data points for a rough estimate, 60+ for more reliable results Solution: Use the default correlation length of 60 or higher Be skeptical of correlations calculated with small samples Timeframe Considerations Problem: Correlations can vary across different timeframes Example: Two assets might be positively correlated on a daily basis but negatively correlated on a weekly basis Solution: Test correlations on multiple timeframes Use the timeframe that matches your trading horizon Look-Ahead Bias Problem: Using information that wouldn't have been available at the time of trading Example: Calculating correlation using future data Solution: This script avoids look-ahead bias by using only historical data Best Practices for Using This Script 1. Appropriate Parameter Selection Correlation Window: For short-term trading: 20-50 periods For medium-term analysis: 50-100 periods For long-term analysis: 100-500 periods Rolling Window: Should be shorter than the main correlation window Typically 1/3 to 1/2 of the main window Return Type: For most applications: Log Returns (better statistical properties) For simplicity: Simple Returns (easier to interpret) 2. Validation and Testing Out-of-Sample Testing: Calculate correlations on one time period Test if they hold in a different time period Multiple Timeframes: Check if correlations are consistent across different timeframes Economic Rationale: Ensure there's a logical reason why assets should be correlated 3. Monitoring and Maintenance Regular Review: Correlations can change, so review them regularly Alerts: Set up alerts for significant correlation changes Documentation: Keep notes on why certain assets are correlated and what might change that relationship 4. Integration with Other Analysis Fundamental Analysis: Combine correlation analysis with fundamental factors Technical Analysis: Use correlation analysis alongside technical indicators Market Context: Consider how market conditions might affect correlations Conclusion This Scientific Correlation Testing Framework provides a comprehensive tool for analyzing relationships between financial assets. By offering both Pearson and Spearman correlation methods, statistical significance testing, and rolling correlation analysis, it goes beyond simple correlation measures to provide deeper insights. For beginners, this script might seem complex, but it's built on fundamental statistical concepts that become clearer with use. Start with the default settings and focus on interpreting the main correlation lines and the statistics table. As you become more comfortable, you can adjust the parameters and explore more advanced applications. Remember that correlation analysis is just one tool in a trader's toolkit. It should be used in conjunction with other forms of analysis and with a clear understanding of its limitations. When used properly, it can provide valuable insights for portfolio construction, risk management, and pair trading strategy development.
อินดิเคเตอร์ Pine Script®
โดย kingshukghosh71
[Parth🇮🇳] Wall Street US30 Pro - Prop Firm Edition....Yo perfect! Here's the COMPLETE strategy in simple words: *** ## WALL STREET US30 TRADING STRATEGY - SIMPLE VERSION ### WHAT YOU'RE TRADING: US30 (Dow Jones Index) on 1-hour chart using a professional indicator with smart money concepts. --- ### WHEN TO TRADE: **6:30 PM - 10:00 PM IST every day** (London-NY overlap = highest volume) *** ### THE INDICATOR SHOWS YOU: A table in top-right corner with 5 things: 1. **Signal Strength** - How confident (need 70%+) 2. **RSI** - Momentum (need OK status) 3. **MACD** - Trend direction (need UP for buys, DOWN for sells) 4. **Volume** - Real or fake move (need HIGH) 5. **Trend** - Overall direction (need UP for buys, DOWN for sells) Plus **green arrows** (buy signals) and **red arrows** (sell signals). --- ### THE RULES: **When GREEN ▲ arrow appears:** - Wait for 1-hour candle to close (don't rush in) - Check the table: - Signal Strength 70%+ ? ✅ - Volume HIGH? ✅ - RSI okay? ✅ - MACD up? ✅ - Trend up? ✅ - If all yes = ENTER LONG (BUY) - Set stop loss 40-50 pips below entry - Set take profit 2x the risk (2:1 ratio) **When RED ▼ arrow appears:** - Wait for 1-hour candle to close (don't rush in) - Check the table: - Signal Strength 70%+ ? ✅ - Volume HIGH? ✅ - RSI okay? ✅ - MACD down? ✅ - Trend down? ✅ - If all yes = ENTER SHORT (SELL) - Set stop loss 40-50 pips above entry - Set take profit 2x the risk (2:1 ratio) *** ### REAL EXAMPLE: **7:45 PM IST - Green arrow appears** Table shows: - Signal Strength: 88% 🔥 - RSI: 55 OK - MACD: ▲ UP - Volume: 1.8x HIGH - Trend: 🟢 UP All checks pass ✅ **8:00 PM - Candle closes, signal confirmed** I check table again - still strong ✓ **I enter on prop firm:** - BUY 0.1 lot - Entry: 38,450 - Stop Loss: 38,400 (50 pips below) - Take Profit: 38,550 (100 pips above) - Risk: $50 - Reward: $100 - Ratio: 1:2 ✅ **9:30 PM - Price hits 38,550** - Take profit triggered ✓ - +$100 profit - Trade closes **Done for that signal!** *** ### YOUR DAILY ROUTINE: **6:30 PM IST** - Open TradingView + prop firm **6:30 PM - 10 PM IST** - Watch for signals **When signal fires** - Check table, enter if strong **10:00 PM IST** - Close all trades, done **Expected daily** - 1-3 signals, +$100-300 profit *** ### EXPECTED RESULTS: **Win Rate:** 65-75% (most trades win) **Signals per day:** 1-3 **Profit per trade:** $50-200 **Daily profit:** $100-300 **Monthly profit:** $2,000-6,000 **Monthly return:** 20-30% (on $10K account) --- ### WHAT MAKES THIS WORK: ✅ Uses 7+ professional filters (not just 1 indicator) ✅ Checks volume (real moves only) ✅ Filters overbought/oversold (avoids tops/bottoms) ✅ Aligns with 4-hour trend (higher timeframe) ✅ Only trades peak volume hours (6:30-10 PM IST) ✅ Uses support/resistance (institutional levels) ✅ Risk/reward 2:1 minimum (math works out) *** ### KEY DISCIPLINE RULES: **DO:** - ✅ Only trade 6:30-10 PM IST - ✅ Wait for candle to close - ✅ Check ALL 5 table items - ✅ Only take 70%+ strength signals - ✅ Always use stop loss - ✅ Always 2:1 reward ratio - ✅ Risk 1-2% per trade - ✅ Close all trades by 10 PM - ✅ Journal every trade - ✅ Follow the plan **DON'T:** - ❌ Trade outside 6:30-10 PM IST - ❌ Enter before candle closes - ❌ Take weak signals (below 70%) - ❌ Trade without stop loss - ❌ Move stop loss (lock in loss) - ❌ Hold overnight - ❌ Revenge trade after losses - ❌ Overleverge (more than 0.1 lot start) - ❌ Skip journaling - ❌ Deviate from plan *** ### THE 5-STEP ENTRY PROCESS: **Step 1:** Arrow appears on chart ➜ **Step 2:** Wait for candle to close ➜ **Step 3:** Check table (all 5 items) ➜ **Step 4:** If all good = go to prop firm ➜ **Step 5:** Enter trade with SL & TP Takes 30 seconds once you practice! *** ### MONEY MATH (Starting with $5,000): **If you take 20 signals per month:** - Win 15, Lose 5 (75% rate) - Wins: 15 × $100 = $1,500 - Losses: 5 × $50 = -$250 - Net: +$1,250/month = 25% return **Month 2:** $5,000 + $1,250 = $6,250 account **Month 3:** $6,250 + $1,562 = $7,812 account **Month 4:** $7,812 + $1,953 = $9,765 account **Month 5:** $9,765 + $2,441 = $12,206 account **Month 6:** $12,206 + $3,051 = $15,257 account **In 6 months = $10,000 account → $15,000+ (50% growth)** That's COMPOUNDING, baby! 💰 *** ### START TODAY: 1. Copy indicator code 2. Add to 1-hour US30 chart on TradingView 3. Wait until 6:30 PM IST tonight (or tomorrow if late) 4. Watch for signals 5. Follow the rules 6. Trade your prop firm **That's it! Simple as that!** *** ### FINAL WORDS: This isn't get-rich-quick. This is build-wealth-steadily. You follow the plan, take quality signals only, manage risk properly, you WILL make money. Not every trade wins, but the winners are bigger than losers (2:1 ratio). Most traders fail because they: - Trade too much (overtrading) - Don't follow their plan (emotions) - Risk too much per trade (blown account) - Chase signals (FOMO) - Don't journal (repeat mistakes) You avoid those 5 things = you'll be ahead of 95% of traders. **Start trading 6:30 PM IST. Let's go! 🚀**
อินดิเคเตอร์ Pine Script®
โดย parthraj414
Fixed High Timeframe Moving AveragesFixed High Timeframe Moving Averages (W/D/4H) Summary This indicator plots essential, high-timeframe (HTF) Moving Averages onto your chart, **no matter which timeframe you are currently viewing**. It is designed for traders who need multi-timeframe context at a glance. Stop switching charts to see where the 200-Week or 50-Day MA is—now you can see all critical HTF levels directly on your 5-minute (or any other) chart. --- Who it’s for Traders who rely on moving averages but like to work on lower chart timeframes while keeping higher timeframe context in sight. If you scalp on 1–15m yet want Weekly/Daily/4H MAs always visible, this is for you. --- What it shows Pinned (“fixed”) moving averages from higher timeframes—Weekly (20/100/200) , Daily (50/100/200/365) and 4H (200) —rendered on any chart timeframe. Your favorite HTF MAs stay on screen no matter what TF you’re currently analyzing. --- Features * **MA types:** SMA, EMA, VWMA, Hull. * **Fully configurable:** toggle each line, set periods, colors, and thickness. * **Two alert modes (see below):** intrabar vs confirmed HTF close. * **Works on any symbol & chart TF** using `request.security` to fetch HTF data. --- Alerts & Modes This indicator solves the biggest problem with MTF alerts: false signals. You can choose one of two modes: 1. **Intrabar mode** — compares current chart price to the HTF MA. Triggers as soon as price crosses the HTF line; great for early signals but may update until the HTF bar closes. 2. **Confirmed mode** — checks HTF close vs HTF MA. Signals only on the higher-TF bar close; fewer false starts, no intrabar repainting on that TF. Per-line *Cross Above / Cross Below* conditions are provided for all enabled MAs (e.g., “20W — Cross Above”, “365D — Cross Below”, etc.). **How to use alerts:** add the script → “Create Alert” → pick any condition from the script’s list. --- Why this helps * Keeps Weekly/Daily structure visible while you execute on LTF. * Classic anchors (e.g., 200D, 20W/100W/200W) are popular for trend bias, dynamic support/resistance, and pullback context. * Lets you standardize MA references across all your lower-TF playbooks. --- Notes on confirmation & repainting * Intrabar signals can change until the higher-TF bar closes (that’s expected with multi-TF data). * Confirmed mode waits for the HTF close—cleaner, but later. Choose what fits your workflow. --- Quick setup 1. Pick `MA Type` (SMA/EMA/VWMA/Hull). 2. Enable the HTF lines you want (Weekly 20/100/200; Daily 50/100/200/365; 4H 200). 3. Choose `Alert Mode` (Intrabar vs Confirmed). 4. Style colors/widths to taste and set alerts on the lines you care about. --- Good practice * Combine HTF MAs with price action (swings, structure, liquidity grabs) rather than using them in isolation. * Always validate signals in your execution TF and use a risk plan tailored to volatility. * Protect your capital: position sizing, stops, and disciplined risk management matter more than any single line on the chart. --- Disclaimer For educational/informational purposes only; not financial advice. Trading involves risk—manage it responsibly.
อินดิเคเตอร์ Pine Script®
โดย MAXmks
pine script tradingbot - many ema oscillator## 🧭 **Many EMA Oscillator (TradingView Pine Script Indicator)** *A multi-layer EMA differential oscillator for trend strength and momentum analysis* --- ### 🧩 **Overview** The **Many EMA Oscillator** is a **TradingView Pine Script indicator** designed to help traders visualize **trend direction**, **momentum strength**, and **multi-timeframe EMA alignment** in one clean oscillator panel. It’s a **custom EMA-based trend indicator** that shows how fast or slow different **Exponential Moving Averages (EMAs)** are expanding or contracting — helping you identify **bullish and bearish momentum shifts** early. This **Pine Script EMA indicator** is especially useful for traders looking to combine multiple **EMA signals** into one **momentum oscillator** for better clarity and precision. --- ### ⚙️ **How It Works** 1. **Multiple EMA Layers:** The indicator calculates seven **EMAs** (default: 20, 50, 100, 150, 200, 300) and applies a **smoothing filter** using another EMA (default smoothing = 20). This removes short-term noise and gives a smoother, professional-grade momentum reading. 2. **EMA Gap Analysis:** The oscillator measures the **difference between consecutive EMAs**, revealing how trend layers are separating or converging. ``` diff1 = EMA(20) - EMA(50) diff2 = EMA(50) - EMA(100) diff3 = EMA(100) - EMA(150) diff4 = EMA(150) - EMA(200) diff5 = EMA(200) - EMA(300) ``` These gaps (or “differentials”) show **trend acceleration or compression**, acting like a **multi-EMA MACD system**. 3. **Color-Coded Visualization:** Each differential (`diff1`–`diff5`) is plotted as a **histogram**: - 🟢 **Green bars** → EMAs expanding → bullish momentum growing - 🔴 **Red bars** → EMAs contracting → bearish momentum or correction This gives a clean, compact view of **trend strength** without cluttering your chart. 4. **Automatic Momentum Signals:** - **🟡 Up Triangle** → All EMA gaps increasing → strong bullish trend alignment - **⚪ Down Triangle** → All EMA gaps decreasing → trend weakening or bearish transition --- ### 📊 **Inputs** | Input | Default | Description | |-------|----------|-------------| | `smmoth_emas` | 20 | Smoothing factor for all EMAs | | `Length2`–`Length7` | 20–300 | Adjustable EMA periods | | `Length21`, `Length31`, `Length41`, `Length51` | Optional | For secondary EMA analysis | --- ### 🧠 **Interpretation Guide** | Observation | Meaning | |--------------|----------| | Increasing green bars | Trend acceleration and bullish continuation | | Decreasing red bars | Trend exhaustion or sideways consolidation | | Yellow triangles | All EMA layers aligned bullishly | | White triangles | All EMA layers aligned bearishly | This **EMA oscillator for TradingView** simplifies **multi-EMA trading strategies** by showing alignment strength in one place. It works great for **swing traders**, **scalpers**, and **trend-following systems**. --- ### 🧪 **Best Practices for Use** - Works on **all TradingView timeframes** (1m, 5m, 1h, 1D, etc.) - Suitable for **stocks, forex, crypto, and indices** - Combine with **RSI**, **MACD**, or **price action** confirmation - Excellent for detecting **EMA compression zones**, **trend continuation**, or **momentum shifts** - Can be used as part of a **multi-EMA trading strategy** or **trend strength indicator setup** --- ### 💡 **Why It Stands Out** - 100% built in **Pine Script v6** - Optimized for **smooth EMA transitions** - Simple color-coded momentum visualization - Professional-grade **multi-timeframe trend oscillator** This is one of the most **lightweight and powerful EMA oscillators** available for TradingView users who prefer clarity over clutter. --- ### ⚠️ **Disclaimer** This indicator is published for **educational and analytical purposes only**. It does **not provide financial advice**, buy/sell signals, or investment recommendations. Always backtest before live use and trade responsibly. --- ### 👨‍💻 **Author** Developed by **@algo_coders** Built in **Pine Script v6** on **TradingView** Licensed under the (mozilla.org)
อินดิเคเตอร์ Pine Script®
โดย algo_coders
Fib OscillatorWhat is Fib Oscillator and How to Use it? 🔶 1. Conceptual Overview The Fib Oscillator is a Fibonacci-based relative position oscillator. Instead of measuring momentum (like RSI or MACD), it measures where price currently sits between the recent swing high and swing low, expressed as a percentage within the Fibonacci range. In other words: It answers: “Where is price right now within its most recent dynamic range?” It visualizes retracement and extension zones numerically, providing continuous feedback between 0% and 100% (and beyond if extended). 🔶 2. What the Script Does The indicator: Automatically detects recent high and low levels using an adaptive lookback window, which depends on ATR volatility. Calculates the current price’s position between those levels as a percentage (0–100). Plots that percentage as an oscillator — showing visually whether price is near the top, middle, or bottom of its recent range. Overlays Fibonacci retracement levels (23.6%, 38.2%, 50%, 61.8%, 78.6%) as reference zones. Generates alerts when the oscillator crosses key Fib thresholds — which can signal retracement completion, breakout potential, or pullback exhaustion. 🔶 3. Technical Flow Breakdown (a) Inputs Input Description Default Notes atrLength ATR period used for volatility estimation 14 Used to dynamically tune lookback sensitivity minLookback Minimum lookback window (candles) 20 Ensures stability even in low volatility maxLookback Maximum lookback window 100 Limits over-expansion during high volatility isInverse Inverts chart orientation false Useful for inverse markets (e.g. shorts or inverse BTC view) (b) Volatility-Adaptive Lookback Instead of using a fixed lookback, it calculates: lookback = SMA(ATR,10) / SMA(Close,10) × 500 lookback=SMA(ATR,10)/SMA(Close,10)×500 Then it clamps this between minLookback and maxLookback. This makes the oscillator: More reactive during high volatility (shorter lookback) More stable during calm markets (longer lookback) Essentially, it self-adjusts to market rhythm — you don’t have to constantly tweak lookback manually. (c) High-Low Reference Points It takes the highest and lowest points within the dynamic lookback window. If isInverse = true, it flips the candle logic (useful if viewing inverse instruments like stablecoin pairs or when analyzing bearish setups invertedly). (d) Oscillator Core The main oscillator line: osc = ( close − low ) ( high − low ) × 100 osc= (high−low) (close−low) ​ ×100 0% = Price is at the lookback low. 100% = Price is at the lookback high. 50% = Midpoint (balanced). Between Fibonacci percentages (23.6%, 38.2%, 61.8%, etc.), the oscillator indicates retracement stages. (e) Fibonacci Levels as Reference It overlays horizontal reference lines at: 0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, 100% These act as support/resistance bands in oscillator space. You can read it similar to how traders use Fibonacci retracements on charts, but compressed into a single line oscillator. (f) Alerts The script includes built-in alert conditions for crossovers at each major Fibonacci level. You can set TradingView alerts such as: “Oscillator crossed above 61.8%” → possible bullish continuation or breakout. “Oscillator crossed below 38.2%” → possible pullback or correction starting. This allows automated monitoring of fib retracement completions without manually drawing fib levels. 🔶 4. How to Use It 🔸 Visual Interpretation Oscillator Value Zone Market Context 0–23.6% Deep Retracement Potential exhaustion of a down-move / early reversal 23.6–38.2% Shallow retracement zone Possible continuation phase 38.2–50% Mid retracement Neutral or indecisive structure 50–61.8% Key pivot region Common trend resumption zone 61.8–78.6% Late retracement Often “last pullback” area 78.6–100% Near high range Possible overextension / profit-taking >100% Range breakout New leg formation / expansion 🔸 Practical Application Steps Load the indicator on your chart (set overlay = false, so it’s below the main price chart). Observe oscillator position relative to fib bands: Use it to determine retracement depth. Combine with structure tools: Trend lines, swing points, or HTF market structure. Use crossovers for timing: Crossing above 61.8% in an uptrend often confirms breakout continuation. Crossing below 38.2% in a downtrend signals renewed downside momentum. For range markets, oscillator swings between 23.6% and 78.6% can define accumulation/distribution boundaries. 🔶 5. When to Use It During Retracements: To gauge how deep the pullback has gone. During Range Markets: To identify relative overbought/oversold positions. Before Breakouts: Crossovers of 61.8% or 78.6% often precede impulsive moves. In Multi-Timeframe Contexts: LTF (15M–1H): Detect intraday retracement exhaustion. HTF (4H–1D): Confirm major range expansions or key reversal zones. 🔶 6. Ideal Companion Indicators The Fib Oscillator works best when contextualized with structure, volatility, and trend bias indicators. Below are optimal pairings: Companion Indicator Purpose Integration Insight Market Structure MTF Tool Identify active trend direction Use Fib Oscillator only in trend direction for cleaner signals EMA Ribbon / Supertrend Trend confirmation Align oscillator crossovers with EMA bias ATR Bands / Volatility Envelope Validate breakout strength If oscillator >78.6% & ATR rising → valid breakout Volume Oscillator Confirm retracement strength Volume contraction + oscillator under 38.2% → potential reversal HTF Fib Retracement Tool Combine LTF oscillator with HTF fib confluence Powerful multi-timeframe setups RSI or Stochastic Measure momentum relative to position RSI divergence while oscillator near 78.6% → exhaustion clue 🔶 7. Understanding the Settings Setting Function Practical Impact ATR Period (14) Controls volatility sampling Higher = smoother lookback adaptation Min Lookback (20) Smallest window allowed Lower = more reactive but noisier Max Lookback (100) Largest window allowed Higher = smoother but slower to react Inverse Candle Chart Flips oscillator vertically Useful when analyzing bearish or inverse scenarios (e.g. short-side fib mapping) Recommended Configs: For scalping/intraday: ATR 10–14, lookback 20–50 For swing/position trading: ATR 14–21, lookback 50–100 🔶 8. Example Trade Logic (Practical Use) Scenario: Uptrend on 4H chart Oscillator drops to below 38.2% → retracement zone Price consolidates → oscillator stabilizes Oscillator crosses above 50% → pullback ending Entry: Long when oscillator crosses above 61.8% Exit: Near 78.6–100% zone or upon divergence with RSI For Short Bias (Inverse Setup): Enable isInverse = true to visually flip the oscillator (so lows become highs). Use the same thresholds inversely. 🔶 9. Strengths & Limitations ✅ Strengths Dynamic, self-adapting to volatility Quantifies Fib retracement as a continuous function Compact oscillator view (no clutter on chart) Works well across all timeframes Compatible with both trending and ranging markets ⚠️ Limitations Doesn’t define trend direction — must be used with structure filters Can whipsaw during choppy consolidations The “lookback auto-adjust” may lag in sudden volatility shifts Shouldn’t be used standalone for entries without structural confluence 🔶 10. Summary The “Fib Oscillator” is a dynamic Fibonacci-relative positioning tool that merges retracement theory with adaptive volatility logic. It gives traders an intuitive, quantified view of where price sits within its recent fib range, allowing anticipation of pullbacks, reversals, or breakout momentum. Think of it as a "Fibonacci RSI", but instead of momentum strength, it shows positional depth — the vibrational location of price within its natural swing cycle.
อินดิเคเตอร์ Pine Script®
โดย TradeMing