Futures Buy/Sell IndicatorAi generated algorithm for buy and sell times for futures. Works on multiple charts.
Indicadores e estratégias
changeReturns a simple "close vs close" value for whichever interval is specified. i.e. on a weekly chart, it would be week-over-week change.
Futures Buy/Sell IndicatorDeveloped by Ai this chart provides buy sell times. Sell you longs on the sell or buy shorts on sell marks.
Market Structure - HH, HL, LH, LL with Trendlines & AlertsMarket Structure Script – HH, HL, LH, LL with Trendlines & Alerts
This Pine Script is designed to help identify key market structure patterns such as Higher Highs (HH), Higher Lows (HL), Lower Highs (LH), and Lower Lows (LL) on price charts. It also draws trendlines connecting the respective swing points and provides alerts when these important price patterns occur.
Key Features:
Swing High and Low Detection:
The script uses the ta.pivothigh and ta.pivotlow functions to identify significant swing highs and swing lows based on the pivot length (pivotLen). These points mark local peaks and troughs in the price action.
Dynamic Pivot Length:
The script adjusts the pivotLen (which defines the number of bars used to calculate swing points) based on the current timeframe of the chart. For example, for a 15-minute chart, it uses a pivot length of 5 bars, while for a daily chart, it uses 10 bars. This dynamic adjustment ensures that the script works across different timeframes.
Higher Highs (HH), Higher Lows (HL), Lower Highs (LH), Lower Lows (LL):
Higher High (HH): Identifies a price peak that is higher than the previous swing high, indicating an uptrend.
Higher Low (HL): Identifies a price trough that is higher than the previous swing low, supporting the idea of an ongoing uptrend.
Lower High (LH): Identifies a price peak that is lower than the previous swing high, suggesting a potential reversal or downtrend.
Lower Low (LL): Identifies a price trough that is lower than the previous swing low, indicating a downtrend.
Trendlines:
For each identified Higher High, Higher Low, Lower High, or Lower Low, the script automatically draws a trendline connecting the corresponding swing points. These trendlines provide a visual representation of the market’s price structure, showing support and resistance levels.
Labels:
The script places labels on the chart next to the respective swing points. These labels mark whether the point is a Higher High (HH), Higher Low (HL), Lower High (LH), or Lower Low (LL). This helps traders easily visualize the price pattern at a glance.
Alerts:
Alert conditions are set for when a Higher High (HH), Higher Low (HL), Lower High (LH), or Lower Low (LL) is detected. Users can set up alerts to be notified whenever one of these key market structure patterns forms. Alerts are an essential feature for traders who want to act quickly when important trend changes are happening.
Stochastic Overlay - Regression Channel (Zeiierman)█ Overview
The Stochastic Overlay – Regression Channel (Zeiierman) is a next-generation visualization tool that transforms the traditional Stochastic Oscillator into a dynamic price-based overlay.
Instead of leaving momentum trapped in a lower subwindow, this indicator projects the Stochastic oscialltor directly onto price itself — allowing traders to visually interpret momentum, overbought/oversold conditions, and market strength without ever taking their eyes off price action.
⚪ In simple terms:
▸ The Bands = The Stochastic Oscillator — but on price.
▸ The Midline = Stochastic 50 level
▸ Upper Band = Stochastic Overbought Threshold
▸ Lower Band = Stochastic Oversold Threshold
When the price moves above the midline → it’s the same as the oscillator moving above 50
When the price breaks above the upper band → it’s the same as Stochastic entering overbought.
When the price reaches the lower band →, think of it like Stochastic being oversold.
This makes market conditions visually intuitive. You’re literally watching the oscillator live on the price chart.
█ How It Works
The indicator layers 3 distinct technical elements into one clean view:
⚪ Stochastic Momentum Engine
Tracks overbought/oversold conditions and directional strength using:
%K Line → Momentum of price
%D Line → Smoothing filter of %K
Overbought/Oversold Bands → Highlight potential reversal zones
⚪ Volatility Adaptive Bands
Dynamic bands plotted above and below price using:
ATR * Stochastic Scaling → Creates wider bands during volatile periods & tighter bands in calm conditions
Basis → Moving average centerline (EMA, SMA, WMA, HMA, RMA selectable)
This means:
→ In strong trends: Bands expand
→ In consolidations: Bands contract
⚪ Regression Channel
Projects trend direction with different models:
Logarithmic → Captures non-linear growth (perfect for crypto or exponential stocks)
Linear → Classic regression fit
Adaptive → Dynamically adjusts sensitivity
Leading → Projects trend further ahead (aggressive mode)
Channels include:
Midline → Fair value trend
Upper/Lower Bounds → Deviation-based support/resistance
⚪ Heatmap - Bull & Bear Power Strength
Visual heatmeter showing:
% dominance of bulls vs bears (based on close > or < Band Basis)
Automatic normalization regardless of timeframe
Table display on-chart for quick visual insight
Dynamic highlighting when extreme levels are reached
⚪ Trend Candlestick Coloring
Bars auto-color based on trend filter:
Above Basis → Bullish Color
Below Basis → Bearish Color
█ How to Use
⚪ Trend Trading
→ Use Band direction + Regression Channel to identify trend alignment
→ Longs favored when price holds above the Basis
→ Shorts favored when price stays below the Basis
→ Use the Bull & Bear heatmap to asses if the bulls or the bears are in control.
⚪ Mean Reversion
→ Look for price to interact with Upper or Lower Band extremes
→ Stochastic reaching OB/OS zones further supports reversals
⚪ Momentum Confirmation
→ Crossovers between %K and %D can confirm continuation or divergence signals
→ Especially powerful when happening at band boundaries
⚪ Strength Heatmap
→ Quickly visualize current buyer vs seller control
→ Sharp spikes in Bull Power = Aggressive buying
→ Sharp spikes in Bear Power = Heavy selling pressure
█ Why It Useful
This is not a typical Stochastic or regression tool. The tool is designed for traders who want to:
React dynamically to price volatility
Map momentum into volatility context
Use adaptive regression channels across trend styles
Visualize bull vs bear power in real-time
Follow trends with built-in reversal logic
█ Settings
Stochastic Settings
Stochastic Length → Period of calculation. Higher = smoother, Lower = faster signals.
%K Smoothing → Smooths the Stochastic line itself.
%D Smoothing → Smooths the moving average of %K for slower signals.
Stochastic Band
Band Length → Length of the Moving Average Basis.
Volatility Multiplier → Controls band width via ATR scaling.
Band Type → Choose MA type (EMA, SMA, WMA, HMA, RMA).
Regression Channel
Regression Type → Logarithmic / Linear / Adaptive / Leading.
Regression Length → Number of bars for regression calculation.
Heatmap Settings
Heatmap Length → Number of bars to calculate bull/bear dominance.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
RSI Dinámico con Control🧭 Dynamic RSI with Control
This custom indicator is designed for traders who want to quickly adjust RSI sensitivity based on market context and timeframe — without editing the script.
Features:
• 🌀 Real-time adjustable RSI length using a numeric input, simulating a “volume knob”-like control.
• 📉 Includes a 3-period moving average applied directly to the RSI line to smooth out signals and highlight momentum shifts.
• 📊 Built-in reference levels: 70 (overbought), 50 (neutral), 30 (oversold) for quick visual analysis.
• 🔍 Ideal for scalpers or discretionary traders who fine-tune their setups based on price action dynamics.
Common Use Cases:
• Simulate higher timeframe RSI context (e.g., RSI 35 on M1 to mimic M5).
• Validate entries where RSI and its moving average align or cross.
• Filter pullbacks or continuation setups based on RSI slope and position relative to the MA.
Dskyz (DAFE) MAtrix with ATR-Powered Precision Dskyz (DAFE) MAtrix with ATR-Powered Precision
This cutting‐edge futures trading strategy built to thrive in rapidly changing market conditions. Developed for high-frequency futures trading on instruments such as the CME Mini MNQ, this strategy leverages a matrix of sophisticated moving averages combined with ATR-based filters to pinpoint high-probability entries and exits. Its unique combination of adaptable technical indicators and multi-timeframe trend filtering sets it apart from standard strategies, providing enhanced precision and dynamic responsiveness.
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Core Functional Components
1. Advanced Moving Averages
A distinguishing feature of the DAFE strategy is its robust, multi-choice moving averages (MAs). Clients can choose from a wide array of MAs—each with specific strengths—in order to fine-tune their trading signals. The code includes user-defined functions for the following MAs:
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Hull Moving Average (HMA):
The hma(src, len) function calculates the HMA by using weighted moving averages (WMAs) to reduce lag considerably while smoothing price data. This function computes an intermediate WMA of half the specified length, then a full-length WMA, and finally applies a further WMA over the square root of the length. This design allows for rapid adaptation to price changes without the typical delays of traditional moving averages.
Triple Exponential Moving Average (TEMA):
Implemented via tema(src, len), TEMA uses three consecutive exponential moving averages (EMAs) to effectively cancel out lag and capture price momentum. The final formula—3 * (ema1 - ema2) + ema3—produces a highly responsive indicator that filters out short-term noise.
Double Exponential Moving Average (DEMA):
Through the dema(src, len) function, DEMA calculates an EMA and then a second EMA on top of it. Its simplified formula of 2 * ema1 - ema2 provides a smoother curve than a single EMA while maintaining enhanced responsiveness.
Volume Weighted Moving Average (VWMA):
With vwma(src, len), this MA accounts for trading volume by weighting the price, thereby offering a more contextual picture of market activity. This is crucial when volume spikes indicate significant moves.
Zero Lag EMA (ZLEMA):
The zlema(src, len) function applies a correction to reduce the inherent lag found in EMAs. By subtracting a calculated lag (based on half the moving average window), ZLEMA is exceptionally attuned to recent price movements.
Arnaud Legoux Moving Average (ALMA):
The alma(src, len, offset, sigma) function introduces ALMA—a type of moving average designed to be less affected by outliers. With parameters for offset and sigma, it allows customization of the degree to which the MA reacts to market noise.
Kaufman Adaptive Moving Average (KAMA):
The custom kama(src, len) function is noteworthy for its adaptive nature. It computes an efficiency ratio by comparing price change against volatility, then dynamically adjusts its smoothing constant. This results in an MA that quickly responds during trending periods while remaining smoothed during consolidation.
Each of these functions—integrated into the strategy—is selectable by the trader (via the fastMAType and slowMAType inputs). This flexibility permits the tailored application of the MA most suited to current market dynamics and individual risk management preferences.
2. ATR-Based Filters and Risk Controls
ATR Calculation and Volatility Filter:
The strategy computes the Average True Range (ATR) over a user-defined period (atrPeriod). ATR is then used to derive both:
Volatility Assessment: Expressed as a ratio of ATR to closing price, ensuring that trades are taken only when volatility remains within a safe, predefined threshold (volatilityThreshold).
ATR-Based Entry Filters: Implemented as atrFilterLong and atrFilterShort, these conditions ensure that for long entries the price is sufficiently above the slow MA and vice versa for shorts. This acts as an additional confirmation filter.
Dynamic Exit Management:
The exit logic employs a dual approach:
Fixed Stop and Profit Target: Stops and targets are set at multiples of ATR (fixedStopMultiplier and profitTargetATRMult), helping manage risk in volatile markets.
Trailing Stop Adjustments: A trailing stop is calculated using the ATR multiplied by a user-defined offset (trailOffset), which captures additional profits as the trade moves favorably while protecting against reversals.
3. Multi-Timeframe Trend Filtering
The strategy enhances its signal reliability by leveraging a secondary, higher timeframe analysis:
15-Minute Trend Analysis:
By retrieving 15-minute moving averages (fastMA15m and slowMA15m) via request.security, the strategy determines the broader market trend. This secondary filter (enabled or disabled through useTrendFilter) ensures that entries are aligned with the prevailing market direction, thereby reducing the incidence of false signals.
4. Signal and Execution Logic
Combined MA Alignment:
The entry conditions are based primarily on the alignment of the fast and slow MAs. A long condition is triggered when the current price is above both MAs and the fast MA is above the slow MA—complemented by the ATR filter and volume conditions. The reverse applies for a short condition.
Volume and Time Window Validation:
Trades are permitted only if the current volume exceeds a minimum (minVolume) and the current hour falls within the predefined trading window (tradingStartHour to tradingEndHour). An additional volume spike check (comparing current volume to a moving average of past volumes) further filters for optimal market conditions.
Comprehensive Order Execution:
The strategy utilizes flexible order execution functions that allow pyramiding (up to 10 positions), ensuring that it can scale into positions as favorable conditions persist. The use of both market entries and automated exits (with profit targets, stop-losses, and trailing stops) ensures that risk is managed at every step.
5. Integrated Dashboard and Metrics
For transparency and real-time analysis, the strategy includes:
On-Chart Visualizations:
Both fast and slow MAs are plotted on the chart, making it easy to see the market’s technical foundation.
Dynamic Metrics Dashboard:
A built-in table displays crucial performance statistics—including current profit/loss, equity, ATR (both raw and as a percentage), and the percentage gap between the moving averages. These metrics offer immediate insight into the health and performance of the strategy.
Input Parameters: Detailed Breakdown
Every input is meticulously designed to offer granular control:
Fast & Slow Lengths:
Determine the window size for the fast and slow moving averages. Smaller values yield more sensitivity, while larger values provide a smoother, delayed response.
Fast/Slow MA Types:
Choose the type of moving average for fast and slow signals. The versatility—from basic SMA and EMA to more complex ones like HMA, TEMA, ZLEMA, ALMA, and KAMA—allows customization to fit different market scenarios.
ATR Parameters:
atrPeriod and atrMultiplier shape the volatility assessment, directly affecting entry filters and risk management through stop-loss and profit target levels.
Trend and Volume Filters:
Inputs such as useTrendFilter, minVolume, and the volume spike condition help confirm that a trade occurs in active, trending markets rather than during periods of low liquidity or market noise.
Trading Hours:
Restricting trade execution to specific hours (tradingStartHour and tradingEndHour) helps avoid illiquid or choppy markets outside of prime trading sessions.
Exit Strategies:
Parameters like trailOffset, profitTargetATRMult, and fixedStopMultiplier provide multiple layers of risk management and profit protection by tailoring how exits are generated relative to current market conditions.
Pyramiding and Fixed Trade Quantity:
The strategy supports multiple entries within a trend (up to 10 positions) and sets a predefined trade quantity (fixedQuantity) to maintain consistent exposure and risk per trade.
Dashboard Controls:
The resetDashboard input allows for on-the-fly resetting of performance metrics, keeping the strategy’s performance dashboard accurate and up-to-date.
Why This Strategy is Truly Exceptional
Multi-Faceted Adaptability:
The ability to switch seamlessly between various moving average types—each suited to particular market conditions—enables the strategy to adapt dynamically. This is a testament to the high level of coding sophistication and market insight infused within the system.
Robust Risk Management:
The integration of ATR-based stops, profit targets, and trailing stops ensures that every trade is executed with well-defined risk parameters. The system is designed to mitigate unexpected market swings while optimizing profit capture.
Comprehensive Market Filtering:
By combining moving average crossovers with volume analysis, volatility thresholds, and multi-timeframe trend filters, the strategy only enters trades under the most favorable conditions. This multi-layered filtering reduces noise and enhances signal quality.
-Final Thoughts-
The Dskyz Adaptive Futures Elite (DAFE) MAtrix with ATR-Powered Precision strategy is not just another trading algorithm—it is a multi-dimensional, fully customizable system built on advanced technical principles and sophisticated risk management techniques. Every function and input parameter has been carefully engineered to provide traders with a system that is both powerful and transparent.
For clients seeking a state-of-the-art trading solution that adapts dynamically to market conditions while maintaining strict discipline in risk management, this strategy truly stands in a class of its own.
****Please show support if you enjoyed this strategy. I'll have more coming out in the near future!!
-Dskyz
Caution
DAFE is experimental, not a profit guarantee. Futures trading risks significant losses due to leverage. Backtest, simulate, and monitor actively before live use. All trading decisions are your responsibility.
PBOC Balance Sheet (Approx USD Trillions)This indicator displays the People's Bank of China (PBOC) Balance Sheet in approximate USD trillions, converted from CNY data (ECONOMICS:CNCBBS) using a fixed exchange rate of 1 USD ≈ 7 CNY. The data is smoothed with a 3-month SMA and plotted as a black line in a separate pane, with a reference line at 6.0 USD trillions. Ideal for analyzing long-term macroeconomic trends and correlations with other financial metrics like bond yields or asset prices, it includes error handling for missing data to ensure reliable visualization.
Daily Performance HeatmapThis script displays a customizable daily performance heatmap for key assets across crypto, equities, bonds, commodities, currencies, and volatility indices.
Each cell shows the current price and the percent change since the daily open, color-coded using a gradient from negative to positive. Assets are arranged in a left-to-right, top-down grid, with adjustable layout and styling.
⚙️ Features:
🔢 Displays current price and daily % change
🎨 Color-coded heatmap using customizable gradients
🧱 Adjustable layout: number of columns, cell size, and text size
🧠 Smart price formatting (no decimals for BTC, Gold, etc.)
🪟 Clean alignment with padded spacing for UI clarity
🛠️ Future plans:
User-input asset lists and labels
Category grouping and dynamic sorting
Optional icons, tooltips, or alerts
Bollinger Bands Strategy Direction & VWAP This is an updated version of classic Bollinger bands. It adds the VWAP line for reference but does not include the bands usually associated with that. It also allows for the turning on and off of longs or shorts, and limiting the duration of trades by the number of days with the default being set to 4(2 seems to be the optimal) I tested this against crypto currency perpetual markets and it consistently wins more than 60 percent of the trades against the majors ( BTC, ETH, SOL) but doesn't seems to do well against some small cap Alts. Id love to hear your feedback
Combined Zone Invalidationa script that gets bullish state if price closes above the zone top
a script that gets bearish state if price closes below the zone bottom
a script that is invalid if it goes from bullish to bearish or bearish to bullish, without reaching the next zone bottom for bullish cross and next (below ) zone top for bearish cross.
currently not able to
1. properly impliment zone invalidation
2. think I'm messing up bullish and bearish target hits as well trying multiple ways to do the invalidation
StonkGame Major Market Open/ClosePlots vertical lines for Tokyo, London, and New York session opens and closes — auto-adjusted to your chart's timezone.
Open lines = lighter, dashed style.
Close lines = solid, full-color style.
Helps identify key liquidity windows, session-driven volatility, and clean market structure — without chart clutter.
Fully customizable colors and line styles for a professional, minimal look.
China 10-Year Yield Inverted with Time Lead (Months)The "China 10-Year Yield Inverted with Time Lead (Months)" indicator is a Pine Script tool for TradingView that displays the inverted China 10-Year Government Bond Yield (sourced from TVC:CN10Y) with a user-defined time lead or lag in months. The yield is inverted by multiplying it by -1, making a rising yield appear as a downward movement and vice versa, which helps visualize inverse correlations with other assets. Users can input the number of months to shift the yield forward (lead) or backward (lag), with the shift calculated based on the chart’s timeframe (e.g., 20 bars per month on daily charts). The indicator plots the shifted, inverted yield as a blue line in a separate pane, with a zero line for reference, enabling traders to analyze leading or lagging relationships with other financial data, such as the PBOC Balance Sheet or Bitcoin price.
Combined Breakout and Divergence SignalsCombined Breakout and Divergence Signals
🧠 Description:
This strategy combines price breakout logic with multi-indicator divergence detection, creating a powerful dual-filtered trading system that identifies high-probability entries. It’s designed to reduce false signals by only acting when both price action confirms a breakout and momentum-based divergence confirms a likely reversal or continuation.
⚙️ Core Logic:
The strategy executes trades only when a breakout is supported by recent divergences detected across a wide set of oscillators and momentum indicators. This dual-layer filtering helps eliminate noise and improves signal quality in trending and ranging markets.
🧩 Strategy Components:
🔺 Breakout Detection:
Identifies bullish breakouts when price exceeds previous high levels from bearish candles.
Detects bearish breakouts when price drops below low levels from bullish candles.
Optional First Arrow Only feature prevents repetitive entries during strong trends.
📉 Divergence Engine:
Scans for both Regular and Hidden divergences.
Supports 10 indicators: MACD, MACD Histogram, RSI, Stochastic, CCI, Momentum, OBV, VWmacd, CMF, MFI.
Flexible input options to customize divergence types, pivot length, max bars, and confirmation logic.
🔗 Combined Logic:
Trades are executed only when a breakout is confirmed by a recent divergence (within a customizable lookback window).
Supports both long and short entries with automatic position closing upon reverse signals.
✅ Features:
📊 10 Momentum & Volume Indicators for divergence confirmation.
🧮 Customizable Pivot Parameters and Divergence Types.
🧠 Adaptive Breakout Filter with trend direction memory.
🎯 Visual markers for Combined Buy/Sell Signals on chart.
🔁 Logical exit rules: trades are only closed upon an opposing signal.
🛠️ Inputs:
Breakout Settings: ATR period, max bars back, first arrow toggle.
Divergence Settings: Pivot period, type, source (Close / High-Low), min divergences required, confirmation toggle.
Indicator Toggles: Enable or disable any divergence indicator individually.
Lookback Control: Number of bars within which divergence must occur to be valid.
Signal Visualization: Custom colors for combined buy/sell arrows.
🎯 Use Cases:
Trend Traders can filter out false breakouts.
Mean Reversion Traders get entry signals backed by weakening momentum.
System Developers can test different indicator combos or divergence types.
🔒 Best Practices:
Use higher timeframes (e.g., 1H, 4H, Daily) for more reliable divergence signals.
Combine with risk management tools (e.g., stop loss, trailing SL) via external script if desired.
Analyze past signals via Strategy Tester to refine breakout/divergence synergy.
🧰 Suggestions for Optimization:
Fine-tune showlimit to balance signal quality vs. quantity.
Disable unused indicators to speed up performance.
Adjust combinedLookback to prevent stale divergences from triggering entries.
📌 This EA is a smart fusion of trend breakout logic and momentum-based divergences, offering a refined signal mechanism with adjustable precision for professional and systematic traders.
Relative Strength MatrixThe Relative Strength Matrix (RSPS M) is a powerful comparison tool that analyzes and ranks up to 10 selected assets based on their relative performance. It does this by calculating price ratios between all asset pairs and applying a consistent strength criterion across each comparison. The results are displayed in a live-updating matrix, showing how each asset performs relative to the rest of the group.
By default, the indicator uses a momentum-based approach (via RSI) to evaluate strength, but it’s fully customizable. Users can modify the valuation logic by replacing the built-in ta.rsi function under the “Inputs your criterion below” section in the code. This makes the tool highly flexible—allowing for different styles of comparison such as trend-following, volatility-adjusted, or custom factor-based ranking methods.
Each asset’s total dominance score is color-coded and ranked, making it easy to spot outperformers and underperformers within any chosen basket. Whether you're tracking crypto pairs, sectors, or other groups, RSPS M provides a clear, objective framework for relative strength monitoring and rotation strategies—perfect for spotting leaders, laggards, and shifts in momentum across markets.
ICT MACRO MAX RETRI ( ALERT )🖤 ICT Reversal Detector – Minimalist Edition
This indicator is designed for traders who follow Inner Circle Trader (ICT) concepts, particularly focused on liquidity sweeps and displacement reversals.
It detects:
• Swing Highs & Lows that occur during the most reactive windows of each hour
→ Specifically the last 20 minutes and first 15 minutes
(ICT teaches these moments often reveal macro-level reversals. I’ve expanded the window slightly to give the indicator more room to catch valid setups.)
• Liquidity Sweeps of previous highs/lows
• Displacement (State Change): defined as a manipulation wick followed by 1–3 strong candles closing in the opposite direction
Visually:
• Clean black lines pointing right from the liquidity sweep wick
• White triangle markers inside black label boxes only when valid displacement occurs
• No clutter, no unnecessary shapes — just focused signal
Built for:
• 5-minute charts, especially NASDAQ (NAS100) and S&P 500 (SPX500)
• Confirm setups manually on the 15-minute chart for extra precision
This is a partial automation tool for ICT-style reversal traders who prefer clarity, minimalism, and sharp intuition over noise.
Let it alert you to setups — then decide like a sniper.
NFCI National Financial Conditions IndexNFCI National Financial Conditions Index
This indicator plots the NFCI as an indicator below your chart. You have the option to select the NFCI as well as its subcomponents.
Follow-Through Day (FTD) SignalThis plots up arrows beneath the price on days when a William O’Neil “Follow Through Day” (FTD) takes place. A FTD occurs when an index rallies 1.2% or more with volume greater than the prior day. The rally must also be three days or more from the recent low to ensure it is authentic buying vs. short covering.
Inputs:
• Min % Gain From Previous Close: Define the minimum gain required to qualify as a FTD
• Lookback Period: Define a market low. By default, the indicator uses a 20-day low.
3 Candles Gap3 Candle Gap Indicator is made to detect these types of patterns:
1. 3 consecutive bullish or bearish candles
2. the middle candle true body (body excluding shadows) has a part that is not covered by previous and next candle shadows (gap)
This pattern helps traders to detect candles where price has moved in a direction and gap has formed (price is not covered by previous or next candles shadows), this is a signal showing price momentum where one side (bulls/bears) is so powerful at moving the price that the other side (bears/bulls) can't get price back to cover the gap.
This indicator has "repainting" by 1 candle which means, it uses the data from future to work, however this future data does not go further than 1 candle.
竖线标注工具V1Digital Time Theory that tells you what an algorithm might do at what time
The market price algorithm sets a clear time for when the price is going to consolidate, when it is going to manipulate, and when it is going to go to the next liquidity target
Since timeis timeisfractal, algorithms do the same thing in different time periods
Digital Time Theory个告诉你算法可能在什么时间做什么事情的理论
市场价格算法中对于价格什么时候要进行盘整积累，什么时候进行操纵，什么时候出发去下一个流动性目标设定了明确的时间
由于时间是分形的(timeisfractal)算法会在不同时间周期做相同的事情
Order Blocks & Breaker Blocks + EMA 50/200 + RSIthis instrument shows actual trend with order blocks on different timeframes and EMA 50/200
Avg ₹ Volume (Shifted Panel)Shows AVG ₹ Volume which helps to identify whether a stock is liquid or not.
Mongoose Yield Spread Dashboard v5 – Labeled, Alerted, ReadableCurveGuard: Mongoose Edition
Track the macro tide before it turns.
This tool visualizes the three most-watched U.S. Treasury yield curve spreads:
2s10s (10Y - 2Y)
5s30s (30Y - 5Y)
3M10Y (10Y - 3M)
Each spread is plotted with dynamic color logic, inversion alerts, and floating labels. Background shading highlights historical inversion zones to help spot macro regime shifts in real time.
✅ Alert-ready
✅ Dark mode optimized
✅ Floating labels
✅ Clean layout for fast macro insight
📌 For educational and informational purposes only.
This script does not provide financial advice or trade recommendations.
