Rube Goldberg Top/Bottom Finder [theUltimator5]This is what I call the Rube Goldberg Top and Bottom Finder. It is an overly complex method of plotting a simple buy or sell label on a chart.
I utilize several standard TA techniques along with several of my own to try and locate ideal Buy/Sell conditions. I came up with the name because there are way too many conditional variables to come up with a single buy or sell condition, when most standard indicators use simple crossovers or levels.
There are two unique triggers that are calculated using completely independent techniques. If both triggers turn true within a small timeframe between each other, the buy/sell trigger turns true and plots a "buy" or "sell" label on the chart.
This indicator was designed to be fully functioning out of the box and can be customized only if the user wishes to. It is effective on all timeframes, but longer timeframes (daily +) may require signal length adjustment for best results.
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The signals used in the leading trigger are as follows:
(1)RSI
The user can select among any of the following moving averages (base is EMA) (#3) , and have an RSI generated at a user defined length (base is 14). (#4)
SMA, EMA, DEMA, TEMA, WMA, VWMA, SMMA, HMA, LSMA, ALMA
The user can select whether or not the RSI is filtered with the following options:
None, Kalman, Double EMA, ALMA
The filter conditions are hard coded to minimize the amount of selections that the user is required to make to reduce the user interface complexity.
The user can define overbought (base 70) and oversold (base 30) conditions. (#2)
When the RSI crosses above or below the threshold values, the plot will turn red. This creates condition 1 of the leading trigger.
(2) ADX and DI
This portion of the indicator is a derivative of my ADX Divergence and Gap Monitor indicator.
This technique looks at the ADX value as well as for spikes in either +DI or -DI for large divergences. When the ADX reaches a certain threshold and also outpaces a preset ADX moving average, this creates condition 2 of the leading trigger.
There is an additional built-in functionality in this portion of the indicator that looks for gaps. It triggers when the ADX is below a certain threshold value and either the +DI or -DI spike above a certain threshold value, indicating a sudden gap in price after a period of low volatility.
The user can set whether or nor to show when a gap appears on the chart or as a label on the plot below the chart (disabled by default) . If the user chooses to overlay gaps on the chart, it creates a horizontal fill showing the starting point of the gap. The theory here is that the price will return at some point in the near future to the starting point of the gap.
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(3) DI based Multi-Symbol reference and divergence
Part of the script computes both the +DI (positive directional index) and -DI (negative directional index) for the currently selected chart symbol and three reference symbols.
The averaged directional move of the reference symbols are compared to the current ticker on your chart and if the divergence exceeds a certain threshold, then the third condition of the trigger is met.
The components that are referenced are based on what stock/chart you are looking at. The script automatically detects if you are looking at a crypto, and uses a user selectable toggle between Large Cap or Small Cap. (#1) The threshold levels are determined by the asset type and market cap.
The leading trigger highlights under several conditions:
1) All (3) portions of the trigger result in true simultaneously
OR
2) Any of triggers 2 or 3 reach a certain threshold that indicates extreme market/price divergence as well as trigger 1 being overbought or oversold.
AND
3) If the trigger didn't highlight
For the lagging part of the trigger:
The lagging trigger is used as a confirmation after the leading trigger to indicate a possible optimized entry/exit point. It can also be used by itself, as well as the leading indicator.
The lagging indicator utilizes the parabolic Stop And Reverse (SAR). It utilizes the RSI length that is defined in portion 1 of the leading trigger as well as the overbought and oversold thresholds. I have found excellent results in catching reversals because it catches rate-of-change events rather than price reversals alone.
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When both the leading triggers FOLLOWED BY the lagging trigger result in true within a user defined timeframe, then the buy or sell trigger results in true, plotting a label on the chart.
All portions of the leading and lagging indicators can be toggled on or off, but most of them are toggled off by default in order to reduce noise on the plot.
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The leading, lagging, and buy/sell triggers each have built-in alerts that can be toggled on or off in the alert menu.
I have an optional built-in toggle to show green or red dots on the RSI line using two separate RSI lengths that are amplified and plot based on RSI divergence and strength. This can be used as a visual confirmation (or rejection) against the chart overlay plots.
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This indicator is not a strategy, so there are no built-in exits or stop losses.
Moving Averages
Dskyz (DAFE) GENESIS Dskyz (DAFE) GENESIS: Adaptive Quant, Real Regime Power
Let’s be honest: Most published strategies on TradingView look nearly identical—copy-paste “open-source quant,” generic “adaptive” buzzwords, the same shallow explanations. I’ve even fallen into this trap with my own previously posted strategies. Not this time.
What Makes This Unique
GENESIS is not a black-box mashup or a pre-built template. It’s the culmination of DAFE’s own adaptive, multi-factor, regime-aware quant engine—built to outperform, survive, and visualize live edge in anything from NQ/MNQ to stocks and crypto.
True multi-factor core: Volume/price imbalances, trend shifts, volatility compression/expansion, and RSI all interlock for signal creation.
Adaptive regime logic: Trades only in healthy, actionable conditions—no “one-size-fits-all” signals.
Momentum normalization: Uses rolling, percentile-based fast/slow EMA differentials, ALWAYS normalized, ALWAYS relevant—no “is it working?” ambiguity.
Position sizing that adapts: Not fixed-lot, not naive—not a loophole for revenge trading.
No hidden DCA or pyramiding—what you see is what you trade.
Dashboard and visual system: Directly connected to internal logic. If it’s shown, it’s used—and nothing cosmetic is presented on your chart that isn’t quantifiable.
📊 Inputs and What They Mean (Read Carefully)
Maximum Raw Score: How many distinct factors can contribute to regime/trade confidence (default 4). If you extend the quant logic, increase this.
RSI Length / Min RSI for Shorts / Max RSI for Longs: Fine-tunes how “overbought/oversold” matters; increase the length for smoother swings, tighten floors/ceilings for more extreme signals.
⚡ Regime & Momentum Gates
Min Normed Momentum/Score (Conf): Raise to demand only the strongest trends—your filter to avoid algorithmic chop.
🕒 Volatility & Session
ATR Lookback, ATR Low/High Percentile: These control your system’s awareness of when the market is dead or ultra-volatile. All sizing and filter logic adapts in real time.
Trading Session (hours): Easy filter for when entries are allowed; default is regular trading hours—no surprise overnight fills.
📊 Sizing & Risk
Max Dollar Risk / Base-Max Contracts: All sizing is adaptive, based on live regime and volatility state—never static or “just 1 contract.” Control your max exposures and real $ risk. ATR will effect losses in high volatility times.
🔄 Exits & Scaling
Stop/Trail/Scale multipliers: You choose how dynamic/flexible risk controls and profit-taking need to be. ATR-based, so everything auto-adjusts to the current market mode.
Visuals That Actually Matter
Dashboard (Top Right): Shows only live, relevant stats: scoring, status, position size, win %, win streak, total wins—all from actual trade engine state (not “simulated”).
Watermark (Bottom Right): Momentum bar visual is always-on, regime-aware, reflecting live regime confidence and momentum normalization. If the bar is empty, you’re truly in no-momentum. If it glows lime, you’re riding the strongest possible edge.
*No cosmetics, no hidden code distractions.
Backtest Settings
Initial capital: $10,000
Commission: Conservative, realistic roundtrip cost:
15–20 per contract (including slippage per side) I set this to $25
Slippage: 3 ticks per trade
Symbol: CME_MINI:NQ1!
Timeframe: 1 min (but works on all timeframes)
Order size: Adaptive, 1–3 contracts
No pyramiding, no hidden DCA
Why these settings?
These settings are intentionally strict and realistic, reflecting the true costs and risks of live trading. The 10,000 account size is accessible for most retail traders. 25/contract including 3 ticks of slippage are on the high side for NQ, ensuring the strategy is not curve-fit to perfect fills. If it works here, it will work in real conditions.
Why It Wins
While others put out “AI-powered” strategies with little logic or soul, GENESIS is ruthlessly practical. It is built around what keeps traders alive:
- Context-aware signals, not just patterns
- Tight, transparent risk
- Inputs that adapt, not confuse
- Visuals that clarify, not distract
- Code that runs clean, efficient, and with minimal overfitting risk (try it on QQQ, AMD, SOL, etc. out of the box)
Disclaimer (for TradingView compliance):
Trading is risky. Futures, stocks, and crypto can result in significant losses. Do not trade with funds you cannot afford to lose. This is for educational and informational purposes only. Use in simulation/backtest mode before live trading. No past performance is indicative of future results. Always understand your risk and ownership of your trades.
This will not be my last—my goal is to keep raising the bar until DAFE is a brand or I’m forced to take this private.
Use with discipline, use with clarity, and always trade smarter.
— Dskyz , powered by DAFE Trading Systems.
MVRV | Lyro RS📊 MVRV | Lyro RS is a powerful on-chain valuation tool designed to assess the relative market positioning of Bitcoin (BTC) or Ethereum (ETH) based on the Market Value to Realized Value (MVRV) ratio. It highlights potential undervaluation or overvaluation zones, helping traders and investors anticipate cyclical tops and bottoms.
✨ Key Features :
🔁 Dual Asset Support: Analyze either BTC or ETH with a single toggle.
📐 Dynamic MVRV Thresholds: Automatically calculates median-based bands at 50%, 64%, 125%, and 170%.
📊 Median Calculation: Period-based median MVRV for long-term trend context.
💡 Optional Smoothing: Use SMA to smooth MVRV for cleaner analysis.
🎯 Visual Threshold Alerts: Background and bar colors change based on MVRV position relative to thresholds.
⚠️ Built-in Alerts: Get notified when MVRV enters under- or overvalued territory.
📈 How It Works :
💰 MVRV Calculation: Uses data from IntoTheBlock and CoinMetrics to obtain real-time MVRV values.
🧠 Threshold Bands: Median MVRV is used as a baseline. Ratios like 50%, 64%, 125%, and 170% signal various levels of market extremes.
🎨 Visual Zones: Green zones for undervaluation and red zones for overvaluation, providing intuitive visual cues.
🛠️ Custom Highlights: Toggle individual threshold zones on/off for a cleaner view.
⚙️ Customization Options :
🔄 Switch between BTC or ETH for analysis.
📏 Adjust period length for median MVRV calculation.
🔧 Enable/disable threshold visibility (50%, 64%, 125%, 170%).
📉 Toggle smoothing to reduce noise in volatile markets.
📌 Use Cases :
🟢 Identify undervalued zones for long-term entry opportunities.
🔴 Spot potential overvaluation zones that may precede corrections.
🧭 Use in confluence with price action or macro indicators for better timing.
⚠️ Disclaimer :
This indicator is for educational purposes only. It should not be used in isolation for making trading or investment decisions. Always combine with price action, fundamentals, and proper risk management.
MA Dist Z-ScoreThe Moving Average Distance Z-Score shows how far the current price is from its moving average, measured in standard deviations.
When the Z-score is above 0, price is above the average.
When the Z-score is below 0, price is below the average.
A Z-score of +2 or -2 means price is very far from the average and might return to it (mean reversion).
This tool helps identify statistically unusual price levels and can be used for reversion setups and trend exhaustion.
MACD 绿柱买入 红柱卖出Histogram Strategy逻辑解释：
1.买入条件：
当 MACD 的 Histogram 从负转正（由红柱变为绿柱）时，触发 strategy.entry('MACD_Buy', strategy.long)，执行买入操作。
2.卖出条件：
当 MACD 的 Histogram 从正转负（由绿柱变为红柱）时，触发 strategy.close('MACD_Buy')，执行卖出操作。
3.绘图保持不变：
绿柱和红柱都正常显示，MACD 和信号线也正常绘制。
本策略仅供学习与参考，不构成投资建议
您不应该使用此策略进行真实交易，任何情况下使用此策略造成的损失本人概不负责
Logic Explanation:
Buy Condition:
When the MACD Histogram turns from negative to positive (from red bars to green bars), it triggers strategy.entry('MACD_Buy', strategy.long), executing a buy operation.
Sell Condition:
When the MACD Histogram turns from positive to negative (from green bars to red bars), it triggers strategy.close('MACD_Buy'), executing a sell operation.
Plotting remains unchanged:
Green and red bars are displayed correctly, and both the MACD and signal lines are plotted as usual.
Disclaimer:
This strategy is for educational and reference purposes only.
You should not use this strategy for real trading, and I am not responsible for any losses incurred from using this strategy under any circumstances.
UT Bot + Hull MA Confirmed Signal DelayThis strategy identifies key momentum shifts by combining the UT Bot’s ATR-based trailing stop signals with confirmation from a Hull Moving Average (HMA) or its variants. It’s designed to filter signals and reduce false entries by requiring price action to cross the Hull MA in the direction of the UT Bot signal.
The indicator works especially well when used on Heikin Ashi charts and in alignment with the MACD trend, helping traders capture more reliable entry and exit points. By blending momentum detection with trend confirmation, this strategy aims to provide clearer buy and sell signals in trending markets.
Its not recommended to always buy or sell the signal it should be used in conjunction with technical analysis and price action.
Fosheezy BB 20emaMajor close (>50% of candle) outside bollinger band 2nd dev with next candle reversing back towards 20ema.
Daily VWAP for ESI designed this VWAP to be simple, clean straight forward for the ES contract.
kert.
Leslie's EMA Ribbon: 5/9/21 + VWAPEMA Crossover (5/9/21) with VWAP Alerts
This indicator visualizes short- and medium-term market momentum using a combination of exponential moving averages (EMAs) and the Volume-Weighted Average Price (VWAP). It is designed for intraday and swing traders who want reliable visual cues and customizable alerts.
✳️ Features:
Three EMAs: 5EMA (fast), 9EMA (medium), and 21EMA (slow)
VWAP Line: A session-based VWAP for volume-aware trend context
Color-Coded Labels: Auto-updated on the latest bar for clean visuals
Crossover Alerts:
5EMA crosses 9EMA
9EMA crosses 21EMA
9EMA crosses VWAP (volume-contextual momentum shift)
Adaptive Dual MA Trend FilterAdaptive Dual MA Trend Filter is a versatile Pine Script™ indicator that delivers clear, reliable trend signals using customizable moving averages:
Dual‑Stage Filtering – Apply any traditional MA (SMA, EMA, VWMA, HMA, RMA, TEMA, DEMA, FRAMA, TRIMA) or advanced smoothing (ALMA, T3) as your “main” and “filter” MAs. The filter MA is double‑smoothed for noise suppression, then converted into a robust “double‑filtered” baseline.
Flexible Inputs – Select lengths, sources (close, high, low, hl2), offsets, sigma, and volume factors to tailor the responsiveness and smoothness to your favorite timeframe or asset class.
Intuitive Signals – The script detects confirmed bullish (green) and bearish (red) trend shifts as:
Circle marker on the MA line
Triangle arrows below/above bars
Full candles and MA line colored by current trend
Clean Overlay – Works directly on your price chart, with optional semi‑transparent fills for extra visual clarity.
Theme Support – Choose from Vibrant, Pastel, Neon, Classic, Monochrome, Solarized, or Material palettes for seamless chart styling.
Ideal for swing traders and intraday scalpers alike, Multi‑Source Double‑Filter Trend offers both “set‑and‑forget” simplicity and deep customization for power users.
Usage
Add to chart → Inputs → tweak MA types/lengths
Watch for color changes and markers
Combine with volume or momentum filters for entry confirmation
Enjoy clearer trend identification and smoother trade signals!
Disclaimer
This script is for educational and informational purposes only. Not financial advice. Use at your own risk.
Deviation from 20SMAThis indicator looks to display the variance from the 20SMA relative to the closing candle and the 20SMA. It uses Bollinger Bands to show extreme deviation when price moves in one direction too quickly. The decimal numbers are a representation of the price away from the 20SMA relative to the value of the ticker "(close - sma20) / close". This reduces extremes of nominal value as the price of the ticker gets higher.
SMA ExtensionsThe SMA Extensions indicator overlays a 200-period Simple Moving Average (SMA) along with its extensions (1.5x, 2x, 2.5x, and 3x) on the price chart. This setup helps traders identify price zones relative to the SMA.
Key Features:
Customizable Settings: Users can adjust the SMA source, length, and colors (default colors: blue, green, yellow, orange, red).
Clear Zone Visualization: The indicator plots each extension as a line, with transparent colored fills between them and below the SMA, visually highlighting price zones.
Dynamic Labels: Labels such as "Very Cheap," "Cheap," "Fair Value," "Expensive," and "Very Expensive" appear only on the last bar. These labels are slightly right-shifted and match the line colors for clarity.
How to Use:
Use the color-coded zones to assess whether prices are undervalued or overvalued relative to the SMA.
Adjust the SMA settings to suit different assets or timeframes.
This indicator is designed to provide a clear visual representation of price levels in relation to a standard SMA, making it a versatile tool for both novice and experienced traders.
200W MA Extension ZonesThis indicator is specifically designed for analyzing Bitcoin on a 1-week chart. It plots the 200-week simple moving average (SMA) and visualizes key extension zones above it (50%, 100%, and 150%) to help assess long-term valuation extremes.
The zones are color-coded to highlight potential accumulation or distribution areas:
🟦 Very Cheap
🟩 Cheap
🟨 Fair Value
🟧 Expensive
🟥 Very Expensive
These visual bands help identify when Bitcoin may be significantly undervalued or overvalued relative to its long-term trend.
⚠️ Important: Use this indicator only on the weekly time frame (1W). Applying it to daily or intraday charts will not reflect the intended valuation model.
You can adjust the extension levels and shading transparency in the settings panel for personalized analysis.
(DAFE) DEVMA - Crossover (Deviation Moving Average) (DAFE) DEVMA - Crossover (Deviation Moving Average)
Let’s keep pushing the edge. After the breakthrough of Deviation over Deviation (DoD)—which gave traders a true lens into volatility’s hidden regime shifts—many asked: “What’s next?” The answer is DEVMA: a crossover engine built not on price, but on the heartbeat of the market itself.
Why is this different?
DEVMA isn’t just a moving average crossover. It’s a regime detector that tracks the expansion and contraction of deviation—giving you a real-time readout of when the market’s energy is about to shift. This is the next step for anyone who wants to anticipate volatility, not just react to it.
What sets DEVMA apart:
Volatility-First Logic:Both fast and slow lines are moving averages of deviation, not price. You’re tracking the market’s “energy,” not just its direction. This is the quant edge that most scripts miss.
Regime-Colored Lines:
The fast and slow DEVMA lines change color in real time—green/aqua for expansion, maroon/orange for contraction—so you can see regime shifts at a glance.
Quant-Pro Visuals:
Subtle glow, clean cross markers, and a minimalist dashboard keep your focus on what matters: the regime, not the noise.
Static Regime Thresholds:
Reference lines at 1.5 and 0.5 (custom colors) give you instant context for “normal” vs. “extreme” volatility states.
No Price Chasing:
This isn’t about following price. It’s about anticipating the next volatility regime—before the crowd even knows what’s coming.
How this builds on DoD:
DoD showed you when volatility itself was about to change. DEVMA takes that insight and turns it into a crossover engine—so you can see, filter, and act on regime shifts in real time. If DoD was the radar, DEVMA is the navigation system.
Inputs/Signals—explained for clarity:
Deviation Lookback:
Controls the sensitivity of the regime detector. Shorter = more signals, longer = only the rarest events.
Fast/Slow DEVMA Lengths:
Fine-tune how quickly the regime lines react. Fast for scalping, slow for swing trading.
Source Selection:
Choose from price, volume, volatility, or VoVix. Each source gives you a different lens on market stress. VoVix is for those who want to see the “regime quake” before the aftershocks.
VoVix Parameters:
Fine-tune the volatility-of-volatility engine for your market. Lower ATR Fast = more responsive; higher ATR Slow = more selective.
Bottom line:
DEVMA is for those who want to see the market’s heartbeat, not just its shadow. Use it to filter your trades, time your entries, or simply understand the market’s true rhythm. Every input is there for a reason. Every plot is a direct readout of the quant logic. Use with discipline, and make it your own.
Disclaimer:
Trading is risky. This script is for research and informational purposes only, not financial advice. Backtest, paper trade, and know your risk before going live. Past performance is not a guarantee of future results.
*Updated the Dashboard/Metrics Display for better visibility
Use with discipline. Trade your edge.
— Dskyz, for DAFE Trading Systems
SD finalhi, this is the best indicator i have written from my past experience, hope you will like it. do send your feedback
Script fexivelScript created to be a flexible filter to market movements! Predicting possible movements
VWMA and SMA Crossover AlertUsing SMA and VWMA to find crossovers for buy and sell signals. The indicator has a bult in buy sell signal.
ICT OB/FVG + Envelope (SMA Alertable) - 엔벨로프 신호 추가Here’s a full explanation of the strategy:
Primary Entry
Buy when price breaks above the 40-day moving average (MA40).
Envelope Scale-Out and Re-Entry
After price breaks above the +15% envelope, add to your position.
Sell 30% of your position when price breaks above the +30% envelope.
If price fails to break +30% but instead finds support at +15%, add again.
Likewise, after adding at +30%, if price pulls back to +30% and holds, add once more.
Adjust entries and exits around each envelope band.
Trend Baseline Logic
The 40-day MA is your primary trend line.
Once price is above MA40, the +15% envelope becomes your new “mini-baseline”—you only trade as long as price respects it.
Exit 100% of your position when price reaches the +100% envelope, or if it falls back below that level.
Trend Confirmation
All of this only applies in a “properly aligned” uptrend (MA40 > MA200).
A golden cross of the 40-day MA above the 200-day MA is a very strong entry filter.
Order-Block Entries
Bullish OB Low: if price touches a Bullish Order-Block Low above MA40, treat it as a pullback and buy.
Bearish OB High: if price touches a Bearish Order-Block High above MA40, treat it as a pullback-and-rebound and buy.
Stop-Loss
Stop out if price closes 3–5% below the 40-day MA.
Lower-Band “Bounce” Buys
If price touches the –15% envelope and finds support, buy 10% of your target size—exit all if it breaks below.
If price touches the –30% envelope and holds, buy again—exit all on a breach.
In short, this is a “band-play” strategy within a bullish trend, using MA40 → +15% envelope → +30% envelope → +45% envelope as your stepping-stone baselines, with order-block and lower-band bounces as additional entries. Good luck!
200-day Moving Average + VolumePlots a 200-day simple moving average (SMA) on the chart.
Displays volumes as a histogram, where each bar corresponds to the volume for each candle.
EMA 8/21 & SMA 50/100/200This script uses the 8 EMA & 21 EMA. I use the EMA for shorter time frames to see if they cross to lean towards bullish or bearish view.
For the longer time frames such as 50 Day, 100 Day, and 200 Day I will use SMA as they're longer time frames and don't react to price as much.
Simple Volatility ConeThe Simple Volatility Cone indicator projects the potential future price range of a stock based on recent volatility. It calculates rolling standard deviation from log returns over a defined window, then uses a confidence interval to estimate the upper and lower bounds the price could reach over a future time horizon. These bounds are plotted directly on the chart, offset into the future, allowing traders to visualize expected price dispersion under a geometric Brownian motion assumption. This tool is useful for risk management, trade planning, and visualizing the potential impact of volatility.
