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Enhanced KLSE Banker Flow Oscillator# Enhanced KLSE Banker Flow Oscillator ## Description The Enhanced KLSE Banker Flow Oscillator is a sophisticated technical analysis tool designed specifically for the Malaysian stock market (KLSE). This indicator analyzes price and volume relationships to identify potential smart money movements, providing early signals for market reversals and continuation patterns. The oscillator measures the buying and selling pressure in the market with a focus on detecting institutional activity. By combining money flow calculations with volume filters and price action analysis, it helps traders identify high-probability trading opportunities with reduced noise. ## Key Features - Dual-Timeframe Analysis: Combines long-term money flow trends with short-term momentum shifts for more accurate signals - Adaptive Volume Filtering: Automatically adjusts volume thresholds based on recent market conditions - Advanced Divergence Detection: Identifies potential trend reversals through price-flow divergences - Early Signal Detection: Provides anticipatory signals before major price movements occur - Multiple Signal Types: Offers both early alerts and strong confirmation signals with clear visual markers - Volatility Adjustment: Adapts sensitivity based on current market volatility for more reliable signals - Comprehensive Visual Feedback: Color-coded oscillator, signal markers, and optional text labels - Customizable Display Options: Toggle momentum histogram, early signals, and zone fills - Organized Settings Interface: Logically grouped parameters for easier configuration ## Indicator Components 1. Main Oscillator Line: The primary banker flow line that fluctuates above and below zero 2. Early Signal Line: Secondary indicator showing potential emerging signals 3. Momentum Histogram: Visual representation of flow momentum changes 4. Zone Fills: Color-coded background highlighting positive and negative zones 5. Signal Markers: Visual indicators for entry and exit points 6. Reference Lines: Key levels for strong and early signals 7. Signal Labels: Optional text annotations for significant signals ## Signal Types 1. Strong Buy Signal (Green Arrow): Major bullish signal with high probability of success 2. Strong Sell Signal (Red Arrow): Major bearish signal with high probability of success 3. Early Buy Signal (Blue Circle): First indication of potential bullish trend 4. Early Sell Signal (Red Circle): First indication of potential bearish trend 5. Bullish Divergence (Yellow Triangle Up): Price making lower lows while flow makes higher lows 6. Bearish Divergence (Yellow Triangle Down): Price making higher highs while flow makes lower highs ## Parameters Explained ### Core Settings - MFI Base Length (14): Primary calculation period for money flow index - Short-term Flow Length (5): Calculation period for early signals - KLSE Sensitivity (1.8): Multiplier for flow calculations, higher = more sensitive - Smoothing Length (5): Smoothing period for the main oscillator line ### Volume Filter Settings - Volume Filter % (65): Minimum volume threshold as percentage of average - Use Adaptive Volume Filter (true): Dynamically adjusts volume thresholds ### Signal Levels - Strong Signal Level (15): Threshold for strong buy/sell signals - Early Signal Level (10): Threshold for early buy/sell signals - Early Signal Threshold (0.75): Sensitivity factor for early signals ### Advanced Settings - Divergence Lookback (34): Period for checking price-flow divergences - Show Signal Labels (true): Toggle text labels for signals ### Visual Settings - Show Momentum Histogram (true): Toggle the momentum histogram display - Show Early Signal (true): Toggle the early signal line display - Show Zone Fills (true): Toggle background color fills ## How to Use This Indicator ### Installation 1. Add the indicator to your TradingView chart 2. Default settings are optimized for KLSE stocks 3. Customize parameters if needed for specific stocks ### Basic Interpretation - Oscillator Above Zero: Bullish bias, buying pressure dominates - Oscillator Below Zero: Bearish bias, selling pressure dominates - Crossing Zero Line: Potential shift in market sentiment - Extreme Readings: Possible overbought/oversold conditions ### Advanced Interpretation - Divergences: Early warning of trend exhaustion - Signal Confluences: Multiple signal types appearing together increase reliability - Volume Confirmation: Signals with higher volume are more significant - Momentum Alignment: Histogram should confirm direction of main oscillator ### Trading Strategies #### Trend Following Strategy 1. Identify market trend direction 2. Wait for pullbacks shown by oscillator moving against trend 3. Enter when oscillator reverses back in trend direction with a Strong signal 4. Place stop loss below/above recent swing low/high 5. Take profit at previous resistance/support levels #### Counter-Trend Strategy 1. Look for oscillator reaching extreme levels 2. Identify divergence between price and oscillator 3. Wait for oscillator to cross Early signal threshold 4. Enter position against prevailing trend 5. Use tight stop loss (1 ATR from entry) 6. Take profit at first resistance/support level #### Breakout Confirmation Strategy 1. Identify stock consolidating in a range 2. Wait for price to break out of range 3. Confirm breakout with oscillator crossing zero line in breakout direction 4. Enter position in breakout direction 5. Place stop loss below/above the breakout level 6. Trail stop as price advances ### Signal Hierarchy and Reliability From highest to lowest reliability: 1. Strong Buy/Sell signals with divergence and high volume 2. Strong Buy/Sell signals with high volume 3. Divergence signals followed by Early signals 4. Strong Buy/Sell signals with normal volume 5. Early Buy/Sell signals with high volume 6. Early Buy/Sell signals with normal volume ## Complete Trading Plan Example ### KLSE Market Trading System #### Pre-Trading Preparation 1. Review overall market sentiment (bullish, bearish, or neutral) 2. Scan for stocks showing significant banker flow signals 3. Note key support/resistance levels for watchlist stocks 4. Prioritize trade candidates based on signal strength and volume #### Entry Rules for Long Positions 1. Banker Flow Oscillator above zero line (positive flow environment) 2. One or more of the following signals present: - Strong Buy signal (green arrow) - Bullish Divergence signal (yellow triangle up) - Early Buy signal (blue circle) with confirming price action 3. Entry confirmation requirements: - Volume above 65% of 20-day average - Price above short-term moving average (e.g., 20 EMA) - No immediate resistance within 3% of entry price 4. Entry on the next candle open after signal confirmation #### Entry Rules for Short Positions 1. Banker Flow Oscillator below zero line (negative flow environment) 2. One or more of the following signals present: - Strong Sell signal (red arrow) - Bearish Divergence signal (yellow triangle down) - Early Sell signal (red circle) with confirming price action 3. Entry confirmation requirements: - Volume above 65% of 20-day average - Price below short-term moving average (e.g., 20 EMA) - No immediate support within 3% of entry price 4. Entry on the next candle open after signal confirmation #### Position Sizing Rules 1. Base risk per trade: 1% of trading capital 2. Position size calculation: Capital × Risk% ÷ Stop Loss Distance 3. Position size adjustments: - Increase by 20% for Strong signals with above-average volume - Decrease by 20% for Early signals without confirming price action - Standard size for all other valid signals #### Stop Loss Placement 1. For Long Positions: - Place stop below the most recent swing low - Minimum distance: 1.5 × ATR(14) - Maximum risk: 1% of trading capital 2. For Short Positions: - Place stop above the most recent swing high - Minimum distance: 1.5 × ATR(14) - Maximum risk: 1% of trading capital #### Take Profit Strategy 1. First Target (33% of position): - 1.5:1 reward-to-risk ratio - Move stop to breakeven after reaching first target 2. Second Target (33% of position): - 2.5:1 reward-to-risk ratio - Trail stop at previous day's low/high 3. Final Target (34% of position): - 4:1 reward-to-risk ratio or - Exit when opposing signal appears (e.g., Strong Sell for long positions) #### Trade Management Rules 1. After reaching first target: - Move stop to breakeven - Consider adding to position if new confirming signal appears 2. After reaching second target: - Trail stop using banker flow signals - Exit remaining position when: - Oscillator crosses zero line in opposite direction - Opposing signal appears - Price closes below/above trailing stop level 3. Maximum holding period: - 20 trading days for trend-following trades - 10 trading days for counter-trend trades - Re-evaluate if targets not reached within timeframe #### Risk Management Safeguards 1. Maximum open positions: 5 trades 2. Maximum sector exposure: 40% of trading capital 3. Maximum daily drawdown limit: 3% of trading capital 4. Mandatory stop trading rules: - After three consecutive losing trades - After reaching 5% account drawdown - Resume after two-day cooling period and strategy review #### Performance Tracking 1. Track for each trade: - Signal type that triggered entry - Oscillator reading at entry and exit - Volume relative to average - Price action confirmation patterns - Holding period - Reward-to-risk achieved 2. Review performance metrics weekly: - Win rate by signal type - Average reward-to-risk ratio - Profit factor - Maximum drawdown 3. Adjust strategy parameters based on performance: - Increase position size for highest performing signals - Decrease or eliminate trades based on underperforming signals ## Advanced Usage Tips 1. Combine with Support/Resistance: - Signals are more reliable when they occur at key support/resistance levels - Look for banker flow divergence at major price levels 2. Multiple Timeframe Analysis: - Use the oscillator on both daily and weekly timeframes - Stronger signals when both timeframes align - Enter on shorter timeframe when confirmed by longer timeframe 3. Sector Rotation Strategy: - Compare banker flow across different sectors - Rotate capital to sectors showing strongest positive flow - Avoid sectors with persistent negative flow 4. Volatility Adjustments: - During high volatility periods, wait for Strong signals only - During low volatility periods, Early signals can be more actionable 5. Optimizing Parameters: - For more volatile stocks: Increase Smoothing Length (6-8) - For less volatile stocks: Decrease KLSE Sensitivity (1.2-1.5) - For intraday trading: Reduce all length parameters by 30-50% ## Fine-Tuning for Different Markets While optimized for KLSE, the indicator can be adapted for other markets: 1. For US Stocks: - Reduce KLSE Sensitivity to 1.5 - Increase Volume Filter to 75% - Adjust Strong Signal Level to 18 2. For Forex: - Increase Smoothing Length to 8 - Reduce Early Signal Threshold to 0.6 - Focus more on divergence signals than crossovers 3. For Cryptocurrencies: - Increase KLSE Sensitivity to 2.2 - Reduce Signal Levels (Strong: 12, Early: 8) - Use higher Volume Filter (80%) By thoroughly understanding and properly implementing the Enhanced KLSE Banker Flow Oscillator, traders can gain a significant edge in identifying institutional money flow and making more informed trading decisions, particularly in the Malaysian stock market.
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Dr_Leong_Yee_Rock tarafından
2
Typical Price Difference - TPD © with reversal zones and signalsv1.0 NOTE: The maths have been tested only for BTC and weekly time frame. This is a concept that I came through after long long hours of VWAP trading and scalping. The idea is pretty simple: 1) Typical Price is calculated by (h+l+c) / 3. If we take this price and adjust it to volume we get the VWAP value. The difference between this value and the close value, i call it " Typical Price Difference - TPD ". 2) We get the Historical Volatility as calculated by TradingView script and we add it up to TPD and divide it by two (average). This is what I call " The Source - TS ". 3) We apply the CCI formula to TS . 4) We calculate the Rate of Change (roc) of the CCI formula. 5) We apply the VIX FIX of Larry Williams (script used is from ChrisMoody - CM_Williams_Vix_Fix Finds Market Bottoms) *brilliant script!!! How to use it: a) When the (3) is over the TPD we have a bullish bias (green area). When it's under we have a bearish bias (red area). b) If the (1) value goes over or under a certain value (CAUTION!!! it varies in different assets or timeframes) we get a Reversal Zone (RZ). Red/Green background. c) If we are in a RZ and the VIX FIX gives a strong value (look for green bars in histogram) and roc (4) goes in the opposite direction, we get a reversal signal that works for the next week(s). I applied this to BTC on a weekly time frame and after some corrections, it gives pretty good reversal zones and signals. Especially bottoms. Also look for divergences in the zones/signals. As I said I have tested and confirmed it only on BTC/weekly. I need more time with the maths and pine to automatically adjust it to other time frames. You can play with it in different assets or time frames to find best settings by hand. Feel free to share your thoughts or ideas on this. P.S. I realy realy realy try to remember when or how or why I came up with the idea to combine typical price with historical volatility and CCI. I can't! It doesn't make any sense LOL
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MyFire_Yiannis tarafından
Expected Move PlotterI get a lot of requests about my indicators that I use. Unfortunately, at this time I cannot make those public but I thought about creating a makeshift alternative people could use as a reference. I came up with this very simple yet extremely effective indicator. I call it the average or expected move plotter, but its essentially the average move plotter. All it does is it averages out the move from open to high and low on a monthly, weekly and daily basis over the past 5 days and plots the expected move. It really is that simple! I have broken it down by month, week and day, so you can see the average expected move on whichever time frame you prefer. I will use TSLA as the example. Here is the daily: Here is the weekly: And here is the monthly: You can switch between whichever timeframe you are working on and it permits all traders (day traders and swing traders) to assist in setting realistic target prices within their desired time frame. It works on any stock, index, commodity or future. I have also ensured that it will work with Heikin Ashi candles, for those (like myself) who are fond of those candles. Let me know if you have any questions and if you like it! Take care everyone and trade safe!
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Steversteves tarafından
5
FVG (Nephew sam remake)Hello i am making my own FVG script inspired by Nephew Sam as his fvg code is not open source. My goal is to replicate his Script and then add in alerts and more functions. Thus, i spent few days trying to code. There is bugs such as lower time frame not showing higher time frame FVG. This script automatically detects and visualizes Fair Value Gaps (FVGs) — imbalances between demand and supply — across multiple timeframes (15-minute, 1-hour, and 4-hour). 15m chart shows: 15m FVGs (green/red boxes) 1H FVGs (lime/maroon) 4H FVGs (faded green/red with borders) (Bugged For now i only see 1H appearing) 1H chart shows: 1H FVGs 4H FVGs 4H chart shows: 4H FVGs only There is the function to auto close FVG when a future candle fully disrespected it. You're welcome to: 🔧 Customize the appearance: adjust box colors, transparency, border style 🧪 Add alerts: e.g., when price enters or fills a gap 📅 Expand to Daily/Weekly: just copy the logic and plug in "D" or "W" as new layers 📈 Build confluence logic: combine this with order blocks, liquidity zones, or ICT concepts 🧠 Experiment with entry signals: e.g., candle confirmation on return to FVG 🚀 Improve performance: if you find a lighter way to track gaps, feel free to optimize!
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ATKH tarafından
1
Auto Anchored VWAPs for FuturesAbout the Script This indicator automatically plots five anchored VWAPs based on predefined starting times, offering traders key reference points across multiple timeframes. These starting points are hardcoded and cannot be customized, ensuring consistency across all time zones. Below are the anchored VWAPs and their respective starting times: NY Session: Starts daily at 9:30 AM EST Globex: Starts daily at 6:00 PM EST Weekly: Resets every Sunday at 6:00 PM EST Monthly: Anchored to the first session of the month at 6:00 PM EST Yearly: Anchored to the first session of the year at 6:00 PM EST How to Use the Script 1) Add the script to your chart. 2) Select the appropriate Daylight Savings Time format. 3) Customize the visual appearance to your preference. 4) Click "OK" to apply the changes. Once configured, the VWAP levels will automatically adjust based on the predefined timeframes. How the Script Works The script calculates and plots anchored VWAPs at the predefined starting times listed above. As each session, week, month, and year progresses, the corresponding VWAP is recalculated and updated on the chart, providing traders with dynamic insights into market trends and volume-weighted price action.
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amatuergenius36 tarafından
Mswing HommaThe Mswing is a momentum oscillator that calculates the rate of price change over 20 and 50 periods (days/weeks). Apart from quantifying momentum, it can be used for assessing relative strength, sectoral rotation & entry/exit signals. Quantifying Momentum Strength The Mswing's relationship with its EMA (e.g., 5-period or 9-period) is used for momentum analysis: • M Swing >0 and Above EMA: Momentum is positive and accelerating (ideal for entries). • M Swing >0 and Below EMA: Momentum is positive but decelerating (caution). • M Swing <0 and Above EMA: Momentum is negative but improving (watch for reversals). • M Swing <0 and Below EMA: Momentum is negative and worsening (exit or avoid). Relative Strength Scanning (M Score) Sort stocks by their M Swing using TradingView’s Pine scanner. Compare the Mswing scores of indices/sectors to allocate capital to stronger groups (e.g., renewables vs. traditional energy). Stocks with strong Mswing scores tend to outperform during bullish phases, while weak ones collapse faster in downtrends. Entry and Exit Signals Entry: Buy when Mswing crosses above 0 + price breaks key moving averages (50-day SMA). Use Mswing >0 to confirm valid breakouts. Buy dips when Mswing holds above EMA during retracements. Exit: Mswing can be used for exiting a stock in 2 ways: • Sell in Strength: Mswing >4 (overbought). • Sell in Weakness: Mswing <0 + price below 50-day SMA. Multi-Timeframe Analysis • Daily: For swing trades. • Weekly: For trend confirmation. • Monthly: For long-term portfolio adjustments.
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sakatashomma tarafından
2
MTF Key Levels [Mxwll]Mxwll MTF S/R: The Mxwll MTF Support & Resistance indicator is designed to identify crucial support and resistance levels across multiple timeframes. By considering various timeframes, this indicator provides a more comprehensive view of the market's underlying structure. It allows traders to extend lines in various configurations and covers timeframes ranging from 5 minutes to weekly. By considering price action across multiple timeframes, the indicator provides a more comprehensive understanding of the market's supply and demand dynamics. Traders can use the Mxwll MTF Support & Resistance Indicator to refine their trade entries and exits, manage risk, and establish potential price targets. FEATURES 5 Minute to Weekly Key Levels Accurate Multi-Timeframe Support and Resistance Customize To Extend The Lines - Left, Right and Right Across The Chart Interplay Between Support and Resistance Levels Change Colours Of S&R Change Colours Of S&R Lines INSTRUCTIONS Select Your Timeframe -> Unselect the S&R Levels That Are Less Than The Timeframe - Trade
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MXWLL-Capital-Trading tarafından
29
TriexDev - SuperBuySellTrend (PLUS+)Minimal but powerful. Have been using this for myself, so thought it would be nice to share publicly. Of course no script is correct 100% of the time, but this is one of if not the best in my basic tools. (This is the expanded/PLUS version) Github Link for latest/most detailed + tidier documentation Base Indicator - Script Link TriexDev - SuperBuySellTrend (SBST+) TradingView Trend Indicator --- SBST Plus+ Using the "plus" version is optional, if you only want the buy/sell signals - use the "base" version. ## What are vector candles? Vector Candles (inspired to add from TradersReality/MT4) are candles that are colour coded to indicate higher volumes, and likely flip points / direction changes, or confirmations. These are based off of PVSRA (Price, Volume, Support, Resistance Analysis). You can also override the currency that this runs off of, including multiple ones - however adding more may slow things down. PVSRA - From MT4 source: Situation "Climax" Bars with volume >= 200% of the average volume of the 10 previous chart TFs, and bars where the product of candle spread x candle volume is >= the highest for the 10 previous chart time TFs. Default Colours: Bull bars are green and bear bars are red. Situation "Volume Rising Above Average" Bars with volume >= 150% of the average volume of the 10 previous chart TFs. Default Colours: Bull bars are blue and bear are blue-violet. A blue or purple bar can mean the chart has reached a top or bottom. High volume bars during a movement can indicate a big movement is coming - or a top/bottom if bulls/bears are unable to break that point - or the volume direction has flipped. This can also just be a healthy short term movement in the opposite direction - but at times sets obvious trend shifts. ## Volume Tracking You can shift-click any candle to get the volume of that candle (in the pair token/stock), if you click and drag - you will see the volume for that range. ## Bollinger Bands Bollinger Bands can be enabled in the settings via the toggle. Bollinger Bands are designed to discover opportunities that give investors a higher probability of properly identifying when an asset is oversold (bottom lines) or overbought (top lines). >There are three lines that compose Bollinger Bands: A simple moving average (middle band) and an upper and lower band. >The upper and lower bands are typically 2 standard deviations +/- from a 20-day simple moving average, but they can be modified. --- Base Indicator ## What is ATR? The average true range (ATR) is a technical analysis indicator, which measures market volatility by decomposing the entire range of an asset price for that period. The true range indicator is taken as the greatest of the following: - current high - the current low; - the absolute value of the current high - the previous close; - and the absolute value of the current low - the previous close. The ATR is then a moving average, generally using 10/14 days, of the true ranges. ## What does this indicator do? Uses the ATR and multipliers to help you predict price volatility, ranges and trend direction. > The buy and sell signals are generated when the indicator starts plotting either on top of the closing price or below the closing price. A buy signal is generated when the ‘Supertrend’ closes above the price and a sell signal is generated when it closes below the closing price. > It also suggests that the trend is shifting from descending mode to ascending mode. Contrary to this, when a ‘Supertrend’ closes above the price, it generates a sell signal as the colour of the indicator changes into red. > A ‘Supertrend’ indicator can be used on equities, futures or forex, or even crypto markets and also on daily, weekly and hourly charts as well, but generally, it will be less effective in a sideways-moving market. Thanks to KivancOzbilgic who made the original SuperTrend Indicator this was based off --- ## Usage Notes Two indicators will appear, the default ATR multipliers are already set for what I believe to be perfect for this particular (double indicator) strategy. If you want to break it yourself (I couldn't find anything that tested more accurately myself), you can do so in the settings once you have added the indicator. Basic rundown: - A single Buy/Sell indicator in the dim colour; may be setting a direction change, or just healthy movement. - When the brighter Buy/Sell indicator appears; it often means that a change in direction (uptrend or downtrend) is confirmed. --- You can see here, there was a (brighter) green indicator which flipped down then up into a (brighter) red sell indicator which set the downtrend. At the end it looks like it may be starting to break the downtrend - as the price is hitting the trend line. (Would watch for whether it holds above or drops below at that point) Another example, showing how sometimes it can still be correct but take some time to play out - with some arrow indicators. Typically I would also look at oscillators, RSI and other things to confirm - but here it held above the trend lines nicely, so it appeared to be rather obvious. It's worth paying attention to the trend lines and where the candles are sitting. Once you understand/get a feel for the basics of how it works - it can become a very useful tool in your trading arsenal. Also works for traditional markets & commodities etc in the same way / using the same ATR multipliers, however of course crypto generally has bigger moves. --- You can use this and other indicators to confirm likeliness of a direction change prior to the brighter/confirmation one appearing - but just going by the 2nd(brighter) indicators, I have found it to be surprisingly accurate. Tends to work well on virtually all timeframes, but personally prefer to use it on 5min,15min,1hr, 4hr, daily, weekly. Will still work for shorter/other timeframes, but may be more accurate on mid ones. --- This will likely be updated as I go / find useful additions that don't convolute things. The base indicator may be updated with some limited / toggle-able features in future also.
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Xeirt tarafından
4
Natenberg's VolatilityThis indicator is historical volatility indicator created by Sheldon Natenberg , as the standard deviation of the logarithmic price changes measured at regular intervals of time. In Mr. Natenberg's book, Option Volatility & Pricing, he covers volatility in detail and gives the formula for computing historical volatility. My changes : I didn't changed formula, i just added smooth version of volatility it can be used as trigger when cross(over/under) non-smoothed volatility. Note: There is two formulas for daily and weekly. Indicator showing only daily formula ! Who wants to display the weekly formula change line 17, namely remove "//" Enjoy!
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crypteisfuture tarafından
20 SMA based Bull/Bear sentiment indicatorThis script is only doing one thing, plots the 20 SMA and based on whether the asset's price is above or below of the SMA it changes the color of the SMA and the background's color. Helping it to visualize whether from the 20 SMA's point of view we are in a Bull or a Bear trend. I created this because I myself use this SMA with Bitcoin on the weekly time frame to identify the macro trend on the weekly. IMO this is a good crypto market sentiment indicator.
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KriptoLabor tarafından
Bitcoin Bull Runs Mid Cycle Aligned This script plots 2 lines which are the 2013 and 2016 bull run. The plots are aligned on their mid cycles to the 2021 mid cycle. Settings: You can move the plots on the x and y axis in the settings for the Daily, Weekly and Monthly TFs. The plot is weird on the Monthly TF, best to use the Daily and Weekly. If it doesn't load at first you have to zoom out fully and go back to 2013 for it to load. Then it will load.
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jewinator_8 tarafından
12
Anti-Volume Stop LossFINALLY! As everyone who tried to create, understand, or even find the Buff Pelz Dormeier Anti-volume stop-loss indicator knows that - it's not easy. Personally, I have partially, or perhaps completely figured out, the tips Buff had given in Investing with Volume Analysis book. AVSL now is ready. Please do some test and give me a feedback how it works in your trade strategy. Anti-Volume stop loss - AVSL from Investing with Volume Analysis book CHAPTER 20 • RISKY BUSINESS 253-256: "It is important in any risk-management process to predetermine an objective decision point level (a stop loss) to exit, thereby protecting principal in case you are wrong. My objective sell point is determined by using a quantitative formula I refer to as Anti-Volume Stop Loss (AVSL). Having a quantitative, yet intelligent sell point eliminates the emotional struggles involved in deciding when to exit a position. AVSL is a technical methodology that incorporates the concepts of support, volatility, and, most importantly, the inverse relationship between price and volume. The AVSL combines the concepts of the VPCI (Volume Price Confirmation Indicator) and John Bollinger’s Bollinger Bands to create a trailing stop loss. AVSL = Lower Bollinger Band – (Price, Length, Standard Deviation) Where: Length = Round (3 + VPCI) Price = Average (Lows × 1 / VPC × 1 / VPR, Length) Standard Deviation = 2 × (VPCI × VM) One of the most difficult decisions is determining what one’s maximum loss threshold should be. Some say 2 percent; others say 20 percent. I believe the more volatile a security, the looser the stop should be. A nonvolatile security, such as Coca-Cola, might move 7 percent a year, while a volatile security such as Google might move 7 percent in a day. If you use a 7 percent stop for Coca-Cola, it might take a year to be stopped out while the security underperforms. However, if you use 7 percent for Google, you can be stopped out intraday, not allowing the investment an opportunity to develop. By using the lower Bollinger Band of the securities lows, the AVSL considers each individual security’s own volatility. Thus, a volatile security would be granted more room of the stocks low while a stable security would have a tighter leash (see Figure 20.7). The next important step is employing the price-volume relationship into the calculation. Volume gauges the power behind price moves. In accounting for this, when a security is in an uptrend and has positive volume characteristics, it is given more room. However, if the security exhibits contracting volume characteristics, then the stop is tightened. In this way, if a negative news event affects an unhealthy security, the stop is tighter, thus preserving more of your profits. However, if the negative news event affects a security whose price-volume relationship is healthy, the stop has been loosened, avoiding the temporary whipsaw of an otherwise strong position. In these ways, AVSL lets the market decide when to exit your position. AVSL tailors each security for support, volatility, and the pricevolume relationship based on an investor’s time frame as calculated from the chart data. For example, my portfolio positions are continually re-evaluated with this AVSL methodology, which yields the possibility of raising the decision point threshold periodically based on the time frame of my investment objective. With my short-term Giddy-up portfolios, I use daily chart data and seek to raise my maximum loss stop on a daily basis. My intermediate ETF and stock positions are calculated off of weekly data and then re-evaluated weekly. With my longer term stock portfolios, the decision point is calculated off data revised monthly. This analytical approach that uses measurable facts over emotion or gut instincts allows me to maintain my objectivity. Thus objectivity, not emotion, informs my investment decisions." How look mine AVSL: Price component = low × 1/VPC × 1/VPR : for VPC > 1 and VPC < -1 | low × 1 × 1/VPR : for 1 > VPC > 0 | low × -1 × 1/VPR : for 0 > VPC > -1 AVSL Price = sma((low × 1/VPC × 1/VPR) , length) / 100 length = round : for VPCI > 0 | round [ absolute ] : for VPCI < 0 | 3 : for VPCI=0 Standard Deviation = mult × VPCI × VM) AVSL = sma(Actual low price - AWSL Price + Standard Deviation, 26) It's hard to say is it the same as in Buff Pelz Dormeier book, but I encourage you to modify the script for better results.
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Rafka tarafından
56
stoch pop and RSI2 strategyI have combined stochsatic POP and RSI2 strategy. Go Long on stochstaic > 80 and RSI2 pulled back to 30 (note when you are entering Long, check that stochsatic is still above 80 ) Close Long when stochastic crossing down 55 I have back tested this on SPY weekly. It has less trades but high profitable with very less draw down. Other time frames you have more signals but , not great winning rate. Since this is weekly setup, good for investing ... long waiting to close , patience required :-)
Pine Script® stratejisi
eemani123 tarafından
Bitcoin Risk Long Term indicatorOBJECTIVE: The purpose of this indicator is to synthesize via an average several indicators from a wide choice with in order to simplify the reading of the bitcoin price and that on a long term vision. Useful for those who want to see things simply, typically to make a smart DCA based on risk. I originally used this script as a sandbox to understand and test the usefulness of several indicators, and to develop my PineScript skills, but finally the Risk Indicator output seems relevant so I decided to share it. USAGE: The selected indicators are the ones that I think give the best market bottoms, but the idea here is that anyone can try and use any set of indicators based on those preferences (post in comments if you find a relevant config) Most of the indicator inputs are configurable. And some are not taken into account in the calculation of the Risk indicator because I consider them not relevant, this script is also a test more than a final version. NOTES : If you have any idea of adding an indicator, modification, criticism, bug found: share them, it is appreciated! In the future I will create another more versatile Risk indicator that will not be focused on bitcoin in weekly. (this indicator is still usable on other assets and timeframe) THANKS: to Benjamin Cowen for inspiring me with his Bitcoin Risk metric to Lazybear for his Wavetrend Indicator and all the scripts he shares to Mabonyi for his Bitcoin Logarithmic Growth Curves & Zones script to VuManChu for his VMC Cypher B Divergence to the Trading view team for developing TV and PineScript And to all the community for all the published codes that allowed me to progress and create this script ---- FR ---- OBJECTIF : L'objectif de cet indicateur est de synthétiser via une moyenne plusieurs indicateurs parmi un large choix avec afin de simplifier la lecture du cours de bitcoin et cela sur une vision longue terme. Utile pour ceux qui veulent voir les choses simplement, typiquement faire un DCA intelligent en fonction du risque. À la base j'ai utilisé ce script comme un bac à sable pour comprendre puis tester l'utilité de plusieurs indicateurs, et développer mes compétences PineScript, mais finalement l'output Risk Indicateur me semble pertinent donc autant le partager. UTILISATION : Les indicateurs sélectionnés sont ceux qui permettent selon moi d'avoir les meilleurs point bas de marché, mais l'idée ici est que chacun puisse essayer et utiliser n'importe quel ensemble d'indicateur en fonction de ces préférences (poster en commentaire si vous trouvez une configuration pertinente) La plupart des inputs indicateurs sont paramétrables. Et certains ne sont pas pris en compte dans le calcul du Risk indicateur car je les estime non pertinent, ce script est aussi un essai plus qu'une version finale. NOTES : Si vous avez la moindre idée d'ajout d'indicateur, modification, critique, bug trouvé : partagez-les, c'est apprécié ! à l'avenir je créerais un autre Risk indicator plus polyvalent qui ne sera pas focalisé sur bitcoin en weekly. (cet indicateur est tout de même utilisable sur d'autre actif et timeframe) REMERCIEMENT : à Benjamin Cowen pour m'avoir inspiré avec son Bitcoin Risk metric à Lazybear pour son Wavetrend Indicator et globalement tout les scripts qu'il partage à Mabonyi pour son script Bitcoin Logarithmic Growth Curves & Zones à VuManChu pour son VMC Cypher B Divergence à l'équipe Trading view pour avoir développé TV et PineScript Et à toute la communauté pour tous les codes publiés qui m'ont permis de progresser et de créer ce script
Pine Script® göstergesi
Julien-PH tarafından
6
[MF] Auto Fibonacci LevelsDescription: Automatically draw Fibonacci Pivot levels based on the previous (day's, week's or month's) Range ( High-Low ). The HLC3 is used as the default Pivot level. Unlike the "Auto Fibonacci Levels", this variation does not update Levels on current day even if the price goes past the R3/S3 levels. Timeframes: 1D, 1W, 1M Range = (High - Low) - From previous Day, Week or month. FIB LEVELS: - Yellow = Pivot and Pivot Zone (HLC3 by default) - red = R1,S1 Levels 0.236 * Range - Green = R2,S2 Levels 0.368 * Range - Lime = R3,S3 Levels 0.618 * Range - Blue = R4,S4 Levels 0.786 * Range - Gray = R5,S5 Levels 1.000 * Range - Lime = R6,S6 Levels 1.236 * Range - Red = R7,S7 Levels 1.382 * Range - Blue = R8,S8 Levels 1.618 * Range - Green = R9,S9 Levels 2.000 * Range CLASSIC LEVELS: - Yellow = Pivot and Pivot Zone (HLC3) - Green = R1,S1 Levels (Pivot*2 - Low), (Pivot*2 - High) - Lime = R2,S2 Levels ( Pivot + Range), ( Pivot - Range) - Lime = R3,S3 Levels (High + 2*( Pivot - Low)), (Low - 2*(High - Pivot )) - Blue = R4,S4 Levels (High + 3*( Pivot - Low)), (Low - 3*(High - Pivot )) Refrences: - Auto Daily Fib Levels R3.0 by JustUncleL - Auto Fib by TheYangGuizi - Monthly Dynamic Range Levels (Fibonaci) V0 by RicardoSantos Modifications: - Added next FIB Levels. (changes during the current cycle) - Added FIB 0.236 Levels - Added Option to change the colors of the Fib Levels - Changed Default colors to the colors of Tradingview - Upgraded to Version4 Pinescript
Pine Script® göstergesi
MF_Crypto tarafından
14
Multi Range VWAP PivotsMulti Range VWAP Pivots turned out to be one of my most accurate pivot indicators to date! Multi Range VWAP Pivots works by recognizing the high and low of the timeframe selected (D, W, M, 6M, and 12M) and plotting range high to VWAP averages and range low to VWAP averages. After further examination of each completed range, I came to the conclusion that due to the nature of averages, high and low respectively would need to be completed within the current range, for the averages to actually display pivots correctly. This means that if all averages appear to be "pivoting" correctly after or during a break lower of higher, then we can only assume the most recent break higher or lower could be exhaustion and price will be reverted to the mean (VWAP). OR, this could be the most accurate hindsight indicator on the planet. *DISCLAIMER*: This indicator repaints. DO NOT backtest or set alerts with this indicator.
Pine Script® göstergesi
dysrupt tarafından
6
Uptrick: Universal Z-Score ValuationOverview The Uptrick: Universal Z-Score Valuation is a tool designed to help traders spot when the market might be overreacting—whether that’s on the upside or the downside. It does this by combining the Z-scores of multiple key indicators into a single average, letting you see how far the current market conditions have stretched away from “normal.” This average is shown as a smooth line, supported by color-coded visuals, signal markers, optional background highlights, and a live breakdown table that shows the contribution of each indicator in real time. The focus here is on spotting potential reversals, not following trends. The indicator works well across all timeframes and asset classes, from fast intraday charts like the 1-minute and 5-minute, to higher timeframes such as the 4-hour, daily, or even weekly. Its universal design makes it suitable for any market — whether you're trading crypto, stocks, forex, or commodities. Introduction To understand what this indicator does, let’s start with the idea of a Z-score. In simple terms, a Z-score tells you how far a number is from the average of its recent history, measured in standard deviations. If the price of an asset is two standard deviations above its mean, that means it’s statistically “rare” or extended. That doesn’t guarantee a reversal—but it suggests the move is unusual enough to pay attention. This concept isn’t new, but what this indicator does differently is apply the Z-score to a wide set of market signals—not just price. It looks at momentum, volatility, volume, risk-adjusted performance, and even institutional price baselines. Each of those indicators is normalized using Z-scores, and then they’re combined into one average. This gives you a single, easy-to-read line that summarizes whether the entire market is behaving abnormally. Instead of reacting to one indicator, you’re reacting to a statistically balanced blend. Purpose The goal of this script is to catch turning points—places where the market may be topping out or bottoming after becoming overstretched. It’s built for traders who want to fade sharp moves rather than follow trends. Think of moments when price explodes upward and starts pulling away from every moving average, volume spikes, volatility rises, and RSI shoots up. This tool is meant to spot those situations—not just when price is stretched, but when multiple different indicators agree that something is overdone. Originality and Uniqueness Most indicators that use Z-scores only apply them to one thing—price, RSI, or maybe Bollinger Bands. This one is different because it treats each indicator as a contributor to the full picture. You decide which ones to include, and the script averages them out. This makes the tool flexible but also deeply informative. It doesn’t rely on complex or hidden math. It uses basic Z-score formulas, applies them to well-known indicators, and shows you the result. What makes it unique is the way it brings those signals together—statistically, visually, and interactively—so you can see what’s happening in the moment with full transparency. It’s not trying to be flashy or predictive. It’s just showing you when things have gone too far, too fast. Inputs and Parameters This indicator includes a wide range of configurable inputs, allowing users to customize which components are included in the Z-score average, how each indicator is calculated, and how results are displayed visually. Below is a detailed explanation of each input: General Settings Z-Score Lookback (default: 100): Number of bars used to calculate the mean and standard deviation for Z-score normalization. Larger values smooth the Z-scores; smaller values make them more reactive. Bar Color Mode (default: None): Determines how bars are visually colored. Options include: None: No candle coloring applied. - Heat: Smooth gradient based on the Z-score value. - Latest Signal: Applies a solid color based on the most recent buy or sell signal Boolean - General Plot Universal Valuation Line (default: true): If enabled, plots the average Z-score (zAvg) line in the separate pane. Show Signals (default: true): Displays labels ("𝓤𝓹" for buy, "𝓓𝓸𝔀𝓷" for sell) when zAvg crosses above or below user-defined thresholds. Show Z-Score Table (default: true): Displays a live table listing each enabled indicator's Z-score and the current average. Select Indicators These toggles enable or disable each indicator from contributing to the Z-score average: Use VWAP Z-Score (default: true) Use Sortino Z-Score (default: true) Use ROC Z-Score (default: true) Use Price Z-Score (default: true) Use MACD Histogram Z-Score (default: false) Use Bollinger %B Z-Score (default: false) Use Stochastic K Z-Score (default: false) Use Volume Z-Score (default: false) Use ATR Z-Score (default: false) Use RSI Z-Score (default: false) Use Omega Z-Score (default: true) Use Sharpe Z-Score (default: true) Only enabled indicators are included in the average. This modular design allows traders to tailor the signal mix to their preferences. Indicator Lengths These inputs control how each individual indicator is calculated: MACD Fast Length (default: 12) MACD Slow Length (default: 26) MACD Signal Length (default: 9) Bollinger Basis Length (default: 20): Used to compute the Bollinger %B. Bollinger Deviation Multiplier (default: 2.0): Standard deviation multiplier for the Bollinger Band calculation. Stochastic Length (default: 14) ATR Length (default: 14) RSI Length (default: 14) ROC Length (default: 10) Zones These thresholds define key signal levels for the Z-score average: Neutral Line Level (default: 0): Baseline for the average Z-score. Bullish Zone Level (default: -1): Optional intermediate zone suggesting early bullish conditions. Bearish Zone Level (default: 1): Optional intermediate zone suggesting early bearish conditions. Z = +2 Line Level (default: 2): Primary threshold for bearish signals. Z = +3 Line Level (default: 3): Extreme bearish warning level. Z = -2 Line Level (default: -2): Primary threshold for bullish signals. Z = -3 Line Level (default: -3): Extreme bullish warning level. These zone levels are used to generate signals, fill background shading, and draw horizontal lines for visual reference. Why These Indicators Were Merged Each indicator in this script was chosen for a specific reason. They all measure something different but complementary. The VWAP Z-score helps you see when price has moved far from the volume-weighted average, often used by institutions. Sortino Ratio Z-score focuses only on downside risk, which is often more relevant to traders than overall volatility. ROC Z-score shows how fast price is changing—strong momentum may burn out quickly. Price Z-score is the raw measure of how far current price has moved from its mean. RSI Z-score shows whether momentum itself is stretched. MACD Histogram Z-score captures shifts in trend strength and acceleration. %B (Bollinger) Z-score indicates how close price is to the upper or lower volatility envelope. Stochastic K Z-score gives a sense of how high or low price is relative to its recent range. Volume Z-score shows when trading activity is unusually high or low. ATR Z-score gives a read on volatility, showing if price movement is expanding or contracting. Sharpe Z-score measures reward-to-risk performance, useful for evaluating trend quality. Omega Z-score looks at the ratio of good returns to bad ones, offering a more nuanced view of efficiency. By normalizing each of these using Z-scores and averaging only the ones you turn on, the script creates a flexible, balanced view of the market’s statistical stretch. Calculations The core formula is the standard Z-score: Z = (current value - average) / standard deviation Every indicator uses this formula after it’s calculated using your chosen settings. For example, RSI is first calculated as usual, then its Z-score is calculated over your selected lookback period. The script does this for every indicator you enable. Then it averages those Z-scores together to create a single value: zAvg. That value is plotted and used to generate visual cues, signals, table values, background color changes, and candle coloring. Sequence Each selected indicator is calculated using your custom input lengths. The Z-score of each indicator is computed using the shared lookback period. All active Z-scores are added up and averaged. The resulting zAvg value is plotted as a line. Signal conditions check if zAvg crosses user-defined thresholds (default: ±2). If enabled, the script plots buy/sell signal labels at those crossover points. The candle color is updated using your selected mode (heatmap or signal-based). If extreme Z-scores are reached, background highlighting is applied. A live table updates with each individual Z-score so you know what’s driving the signal. Features This script isn’t just about stats—it’s about making them usable in real time. Every feature has a clear reason to exist, and they’re all there to give you a better read on market conditions. 1. Universal Z-Score Line This is your primary reference. It reflects the average Z-score across all selected indicators. The line updates live and is color-coded to show how far it is from neutral. The further it gets from 0, the brighter the color becomes—cyan for deeply oversold conditions, magenta for overbought. This gives you instant feedback on how statistically “hot” or “cold” the market is, without needing to read any numbers. 2. Signal Labels (“𝓤𝓹” and “𝓓𝓸𝔀𝓷”) When the average Z-score drops below your lower bound, you’ll see a "𝓤𝓹" label below the bar, suggesting potential bullish reversal conditions. When it rises above the upper bound, a "𝓓𝓸𝔀𝓷" label is shown above the bar—indicating possible bearish exhaustion. These labels are visually clear and minimal so they don’t clutter your chart. They're based on clear crossover logic and do not repaint. 3. Real-Time Z-Score Table The table shows each indicator's individual Z-score and the final average. It updates every bar, giving you a transparent breakdown of what’s happening under the hood. If the market is showing an extreme average score, this table helps you pinpoint which indicators are contributing the most—so you’re not just guessing where the pressure is coming from. 4. Bar Coloring Modes You can choose from three modes: None: Keeps your candles clean and untouched. Heat: Applies a smooth gradient color based on Z-score intensity. As conditions become more extreme, candle color transitions from neutral to either cyan (bullish pressure) or magenta (bearish pressure). Latest Signal: Applies hard coloring based on the most recent signal—greenish for a buy, purple for a sell. This mode is great for tracking market state at a glance without relying on a gradient. Every part of the candle is colored—body, wick, and border—for full visibility. 5. Background Highlighting When zAvg enters an extreme zone (typically above +2 or below -2), the background shifts color to reflect the market’s intensity. These changes aren’t overwhelming—they’re light fills that act as ambient warnings, helping you stay aware of when price might be reaching a tipping point. 6. Customizable Zone Lines and Fills You can define what counts as neutral, overbought, and oversold using manual inputs. Horizontal lines show your thresholds, and shaded regions highlight the most extreme zones (+2 to +3 and -2 to -3). These lines give you visual structure to understand where price currently stands in relation to your personal reversal model. 7. Modular Indicator Control You don’t have to use all the indicators. You can enable or disable any of the 12 with a simple checkbox. This means you can build your own “blend” of market context—maybe you only care about RSI, price, and volume. Or maybe you want everything on. The script adapts accordingly, only averaging what you select. 8. Fully Customizable Sensitivity and Lengths You can adjust the Z-score lookback length globally (default 100), and tweak individual indicator lengths separately. This lets you tune the indicator’s responsiveness to suit your trading style—slower for longer swings, faster for scalping. 9. Clean Integration with Any Chart Layout All visual elements are designed to be informative without taking over your chart. The coloring is soft but clear, the labels are readable without being huge, and you can turn off any feature you don’t need. The indicator can work as a full dashboard or as a simple line with a couple of alerts—it’s up to you. 10. Precise, Real-Time Signal Logic The crossover logic for signals is exact and only fires when the Z-score moves across your defined boundary. No estimation, no delay. Everything is calculated based on current and previous bar data, and nothing repaints or back-adjusts. Conclusion The Universal Z-Score Valuation indicator is a tool for traders who want a clear, unbiased way to detect overextension. Instead of relying on a single signal, you get a composite of several market perspectives—momentum, volatility, volume, and more—all standardized into a single view. The script gives you the freedom to control the logic, the visuals, and the components. Whether you use it as a confirmation tool or a primary signal source, it’s designed to give you clarity when markets become chaotic. Disclaimer This indicator is for research and educational use only. It does not constitute financial advice or guarantees of performance. All trading involves risk, and users should test any strategy thoroughly before applying it to live markets. Use this tool at your own discretion.
Pine Script® göstergesi
Uptrick tarafından
9
Modern Economic Eras DashboardOverview This script provides a historical macroeconomic visualization of U.S. markets, highlighting long-term structural "eras" such as the Bretton Woods period, the inflationary 1970s, and the post-2020 "Age of Disorder." It overlays key economic indicators sourced from FRED (Federal Reserve Economic Data) and displays notable market crashes, all in a clean and rescaled format for easy comparison. Data Sources & Indicators All data is loaded monthly from official FRED series and rescaled to improve readability: 🔵 Real GDP (FRED:GDP): Total output of the U.S. economy. 🔴 Inflation Index (FRED:CPIAUCSL): Consumer price index as a proxy for inflation. ⚪ Debt to GDP (FRED:GFDGDPA188S): Federal debt as % of GDP. 🟣 Labor Force Participation (FRED:CIVPART): % of population in the labor force. 🟠 Oil Prices (FRED:DCOILWTICO): Monthly WTI crude oil prices. 🟡 10Y Real Yield (FRED:DFII10): Inflation-adjusted yield on 10-year Treasuries. 🔵 Symbol Price: Optionally overlays the charted asset’s price, rescaled. Historical Crashes The dashboard highlights 10 major U.S. market crashes, including 1929, 2000, and 2008, with labeled time spans for quick context. Era Classification Six macroeconomic eras based on Deutsche Bank’s Long-Term Asset Return Study (2020) are shaded with background color. Each era reflects dominant economic regimes—globalization, wars, monetary systems, inflationary cycles, and current geopolitical disorder. Best Use Cases ✅ Long-term macro investors studying structural market behavior ✅ Educators and analysts explaining economic transitions ✅ Portfolio managers aligning strategy with macroeconomic phases ✅ Traders using history for cycle timing and risk assessment Technical Notes Designed for monthly timeframe, though it works on weekly. Uses close price and standard request.security calls for consistency. Max labels/lines configured for broader history (from 1860s to present). All plotted series are rescaled manually for better visibility. Originality This indicator is original and not derived from built-in or boilerplate code. It combines multiple economic dimensions and market history into one interactive chart, helping users frame today's markets in a broader structural context.
Pine Script® göstergesi
jtomasfg tarafından