Multi-Timeframe Horizontal LinesThis Pine Script indicator plots horizontal lines at the high and low prices of the most recent 1-hour and 15-minute candles. Users can customize the color and width of the lines for each timeframe. The lines are updated dynamically, with previous lines removed to keep the chart clean.
在腳本中搜尋"chart"
SNIPERKILLS-IB-HIGH-LOW+Exp-Move[D/W/M]Script Feature Checklist (Updated):
Initial Balance (IB) Calculation
Tracks IB High and IB Low during a user-defined session (default 9:30–10:30)
Plots IB High (blue), IB Low (red), and IB Midpoint (orange)
Expected Movement (EM) Calculation Using VIX
Calculates expected price move range based on VIX volatility index and previous close
Plots EM upper (EM+) and lower (EM-) levels (purple lines)
Optional rounding of levels to nearest multiple (spread input)
Displays two deviation levels (% deviations from EM):
First deviation (default 68%, orange dashed lines)
Second deviation (default 90%, blue dashed lines)
Labels for EM levels and deviations on chart
Summary table with Period, EM, VIX, Previous Close
Measured Move Targets Based on IB Range
Defines 3 long targets above IB High (multiples 1x, 2x, 3x)
Defines 3 short targets below IB Low (multiples 1x, 2x, 3x)
Plots these targets in green (long) and red (short)
Liquidity Sweeps Detection
Detects when price breaks/sweeps below IB Low or above IB High (liquidity grab)
Plots triangle shapes on bars showing IB Low Sweep (red) or IB High Sweep (blue)
Market Structure Shift (MSS) Detection
Detects bearish MSS (higher high + close lower) above IB High
Detects bullish MSS (lower low + close higher) below IB Low
Marks MSS signals with crosses: orange (bearish), green (bullish)
Trade Entry Markers Based on MSS
Short entry trigger if bearish MSS confirmed and close below previous low
Long entry trigger if bullish MSS confirmed and close above previous high
Plots labeled arrows: "AMD SHORT" (black label down), "AMD LONG" (lime label up)
Fair Value Gap (FVG) Detection
Detects potential Fair Value Gaps up and down
Plots small squares: green below bars (FVG Up), red above bars (FVG Down)
Simple Risk/Reward Levels
Defines take profit (TP) and stop loss (SL) levels for short and long entries based on fixed pip multiples
Plots TP and SL with colored circles on the chart
Alerts for Key Events
Alerts for IB Low Sweep and IB High Sweep
Alerts for MSS Bearish and MSS Bullish
Alerts for Short and Long entries
Order Block (OB) / CISD Candle Highlight
Detects large bearish displacement candle following bullish candle (CISD)
Highlights the previous candle (order block candle) in purple
Allows traders to anticipate potential reversals by visually identifying these order blocks
ZY Legend StrategyThe ZY Legend Strategy indicator closely follows the trend of the parity. It produces trading signals in candles where the necessary conditions are met and clearly shows these signals on the chart. Although it was produced for the scalp trade strategy, it works effectively in all time frames. 'DEAD PARITY' signals indicate that healthy signals cannot be generated for the relevant parity due to shallow ATR. It is not recommended to trade on parities where this signal appears.
DaringBull Arvind MACD GAPS MA CrossoverTo generate buy and sell signals based on a combination of MACD crossover events and histogram behavior, particularly around the zero line. This is used to identify early momentum reversals for entry and exit points in the market.
📐 MACD Setup
Uses customizable MACD parameters (defaults: Fast = 12, Slow = 26, Signal = 9).
Calculates:
MACD Line
Signal Line
Histogram (difference between MACD and Signal)
✅ Buy Conditions
A buy signal is plotted when all three of the following occur:
MACD Line crosses above Signal Line (bullish crossover).
MACD Line is still below or near the zero line (< 0.05) – indicates early reversal from a bearish zone.
First green histogram bar appears (current bar is > 0 and previous was ≤ 0) – confirming momentum shift.
➡️ When these align, a blue circle is plotted below the price bar.
❌ Sell Conditions
A sell signal is plotted when all three of the following occur:
MACD Line crosses below Signal Line (bearish crossover).
MACD Line is still above or near the zero line (> -0.05) – indicates early weakness after a bullish move.
First red histogram bar appears (current bar is < 0 and previous was ≥ 0) – confirming loss of momentum.
➡️ When these align, a red circle is plotted above the price bar.
📊 Visualization
Buy/Sell markers appear on the price chart for visual entry/exit cues.
MACD line, Signal line, and Zero line are optionally plotted for deeper analysis.
📌 Key Insights
This script aims to enter trades early in trend reversals by using MACD in conjunction with histogram shifts near the zero line.
It's especially useful in gap trading, mean reversion, or breakout confirmation setups.
The optional plot toggle allows switching between overlay and non-overlay views.
Live Breakout Zones (No Repaint)The Live Breakout Zones indicator is a non-repainting, real-time breakout detection tool designed to help traders identify critical price breakouts as they happen — without lag and without repainting past signals.
This indicator scans recent price action to determine the highest high and lowest low over a user-defined lookback period. When price closes above the recent high or below the recent low, it immediately plots a breakout zone on the chart and provides a visual confirmation through labels and optional alerts.
🔍 Key Features:
✅ No Repainting – Signals are locked in as soon as a breakout happens; no future bar confirmation is needed.
⏱️ Minimal Lag – Reacts on breakout of recent range highs/lows without waiting for pivots or candle confirmation.
📦 Breakout Zones – Automatically draws colored rectangles showing the breakout level and zone width for clearer analysis.
🔔 Real-Time Alerts – Alerts for both bullish and bearish breakouts help you stay informed without watching the screen.
⚙️ Customizable – Adjustable lookback length, zone width, and color settings to match your strategy or chart style.
📈 Use Cases:
Identify key breakout moments for entry or retest zones.
Confirm breakout-based strategies in trending or consolidating markets.
Use zones for setting risk-reward areas, SL/TP levels, or re-entry planning.
⚙️ Settings:
Lookback Range (High/Low): Defines how many previous bars are checked for breakout levels.
Zone Width: Number of bars to extend the breakout box forward.
Bullish/Bearish Zone Color: Choose custom colors for breakout visualization.
🧠 Trading Tip:
Combine this tool with volume spikes, tail candles, or support/resistance for more reliable breakout setups.
FutureObitz Bank LevelsFutureObitz Bank Levels - Daily Structure & Trading Zones
"The Obitz Bank Levels indicator is a powerful tool designed to help traders identify key daily structural price levels. It automatically extracts the 1 hour and 4 hour High and 1 hour and 4 hour Low. You may also use this indicator for lower timeframes aswell. Going lower than 15 min is not recommended.
What This Indicator Provides:
Dynamic Daily Levels: Calculates and plots the Daily High, Daily Low, Middle, Middle High, and Middle Low of the current trading day. These lines provide clear reference points for price action.
Defined Buy & Sell Zones: Visualizes potential accumulation (Buy Zone) and distribution (Sell Zone) areas. These zones are calculated as a customizable percentage (via inputs) above/below the 'Middle' of the daily range, helping to identify potential entry or exit points.
Multi-Timeframe Compatibility: Displays the exact same daily levels regardless of your active chart's timeframe, offering a consistent higher-timeframe perspective for intraday traders.
Visual Clarity: Includes filled zones for better visualization of the Buy and Sell areas.
Optional Labels: Provides clear labels for the latest daily levels (D. High, D. Low, D. Middle, D. Buy Zone, D. Sell Zone) on the last bar of your chart for quick reference.
This indicator serves as a robust framework for understanding daily market structure and can assist in identifying potential areas of support, resistance, and trading opportunities. It's an excellent tool for traders who rely on clear, higher-timeframe levels to inform their trading decisions.
-FutureObitz
Morning Structure – Live 30 Min Range📝 Description:
This indicator captures the morning price structure by tracking the high and low during the first 30 minutes after market open (default: 9:30 AM to 10:00 AM, New York time).
🔧 How it works:
At market open, it begins tracking the highest high and lowest low
The high and low lines are dynamic and update in real-time during the first 30 minutes
Once the 30-minute range completes, the lines freeze at their final values
Lines extend horizontally across the rest of the session to mark the "Morning Range"
✅ Key Features:
Tracks live price action during the morning session
Freezes the structure after 30 minutes (or user-defined)
Automatically resets each new trading day
Built-in timezone setting (America/New_York) to align with standard U.S. market hours
Clean visual lines that scroll naturally with the chart
⚙️ Use Cases:
Identify morning breakout zones
Define support and resistance early in the session
Combine with breakout, fade, or range-trading strategies
⚠️ Note:
This version does not include alerts or labels, by design (clean and focused).
Those can be added easily for custom strategies.
Morning Structure – Live 30 Min Range📝 Description:
This indicator captures the morning price structure by tracking the high and low during the first 30 minutes after market open (default: 9:30 AM to 10:00 AM, New York time).
🔧 How it works:
At market open, it begins tracking the highest high and lowest low
The high and low lines are dynamic and update in real-time during the first 30 minutes
Once the 30-minute range completes, the lines freeze at their final values
Lines extend horizontally across the rest of the session to mark the "Morning Range"
✅ Key Features:
Tracks live price action during the morning session
Freezes the structure after 30 minutes (or user-defined)
Automatically resets each new trading day
Built-in timezone setting (America/New_York) to align with standard U.S. market hours
Clean visual lines that scroll naturally with the chart
⚙️ Use Cases:
Identify morning breakout zones
Define support and resistance early in the session
Combine with breakout, fade, or range-trading strategies
⚠️ Note:
This version does not include alerts or labels, by design (clean and focused).
Those can be added easily for custom strategies.
Price-EMA Z-Score Backgroundhe “Price‑to‑EMA Z‑Score Background” indicator is designed to give you a clear, visual sense of when price has moved unusually far away from its smoothed trend, and to highlight those moments as potential overextension or mean‑reversion opportunities. Under the hood, it first computes a standard exponential moving average (EMA) of your chosen lookback length, then measures the raw difference between the current close and that EMA on every bar. To make that raw deviation comparable across different markets and timeframes, it converts the series of differences into a z‑score—subtracting the rolling mean of the deviations and dividing by their rolling standard deviation over a second lookback window.
Once you’ve normalized price‑to‑EMA distance into z‑score units, you can set two simple trigger levels: one upper threshold and one lower threshold. Whenever the z‑score climbs above the upper threshold, the chart background glows green, signaling that price is extended far above its EMA (and might be ripe for a pullback). Whenever the z‑score falls below the lower threshold, the background turns red, calling out an equally extreme move below the EMA (and a possible oversold bounce). Between those bands, no shading appears, letting you know price is trading within its “normal” range around the trend.
By adjusting the EMA period, the z‑score lookback, and the two trigger levels, you can dial in early warning signals (e.g. ±1 σ) or wait for very stretched moves (±2 σ or more). Used in concert with your favorite momentum or pattern tools—or even as a standalone visual cue—this simple background‑shading approach makes it easy to spot when a market is running too hot or too cold relative to its own recent average.
Yield Curve Regime Shading with LegendTakes two symbols (e.g. two futures contracts, two FX pairs, etc.) as inputs.
Calculates the “regime” as the sign of the change in their difference over an n‑period lookback.
Lets you choose whether you want to color the bars themselves or shade the background.
How it works
Inputs
symbolA, symbolB: the two tickers you’re comparing.
n: lookback in bars to measure the change in the spread.
mode: pick between “Shading” or “Candle Color”.
Data fetching
We use request.security() to pull each series at the chart’s timeframe.
Regime calculation
spread = priceA – priceB
spreadPrev = ta.valuewhen(not na(spread), spread , 0) (i.e. the spread n bars ago)
If spread > spreadPrev → bullish regime
If spread < spreadPrev → bearish regime
Plotting
Shading: apply bgcolor() in green/red.
Candle Color: use barcolor() to override the bar color.
2025 Stratejik Sinyal İndikatörüThe strategy indicator, which generates buy-sell signals on the chart and can set alarms for indicators such as Supertrend, RSI, Stochastic RSI, Squeeze Momentum, MACD, 10 Moving Average and Price indicator PPO, will guide you while trading.
RSI Divergence StrategyScript identifies bullish and bearish divergences, hidden and regular. Accurate on all timeframes. There are several videos on trading with a divergence strategy, but the divergences are hard to spot.
These can be adjusted but chat gpt independently checked various token vitals and compared to the chart, and found the chart accurate with current settings.
lookback = input.int(40, title="Lookback Period for Divergence") (30-60)
minSwingDistPercent = input.float(1.5, title="Minimum Swing Distance (%)") (0.5-2.0)
minPriceMovePercent = input.float(0.5, title="Minimum Price Move from Last Swing (%)") (0.5-2.0)
Sell to Buy / Buy to SellSell to Buy / Buy to Sell — Momentum Shift Detector
The Sell to Buy / Buy to Sell indicator detects simple but powerful two-bar momentum shift patterns directly on your chart, offering early insights into potential reversals or strong breakout continuation.
🔎 How it works:
Sell to Buy (StB):
Previous candle (bar -1) is bearish
Current candle (bar 0) is bullish
The bullish candle closes above the high of the previous bearish candle
Confirmed only after bar close
Buy to Sell (BtS):
Previous candle (bar -1) is bullish
Current candle (bar 0) is bearish
The bearish candle closes below the low of the previous bullish candle
Confirmed only after bar close
🎯 Key Features:
✅ Pure price action logic — no indicators, no oscillators
✅ Immediate visual markers:
Green "StB" label for bullish momentum shifts
Red "BtS" label for bearish momentum shifts
✅ Full alert system to notify you in real-time when either pattern occurs
⚙ Who is this for?
Scalpers looking for short-term momentum shifts
Swing traders identifying potential reversals or breakout confirmations
Price action traders who want clean and objective setup detection
The Sell to Buy / Buy to Sell indicator is designed to give you clear and simple signals whenever the market shows decisive strength after a short-term opposite move — potentially marking the start of a new impulse.
5 MAsTitle: 5 MAs — Key Moving Averages + 2h Trend Filter
Description:
This indicator plots five essential moving averages used for identifying market structure, momentum shifts, and trend confirmation across multiple timeframes. It’s designed for traders who blend intraday price action with higher-timeframe context.
Included Averages:
200 SMA (red): Long-term trend direction and dynamic support/resistance.
50 SMA (blue): Medium-term trend guide, often used for pullbacks or structure shifts.
21 EMA (purple): Shorter-term momentum guide — commonly used in trending strategies.
10 EMA (green): Fast momentum line for scalping, intraday setups, or crossover signals.
2h 20 EMA (orange): Higher-timeframe trend filter pulled from the 2-hour chart — adds confluence when trading lower timeframes (e.g., 5m, 15m).
How to Use:
Use the alignment of these MAs to confirm market bias (e.g., all pointing up = strong bullish structure).
Watch for crossovers, price interaction, or dynamic support/resistance at key levels.
The 2h 20 EMA adds a higher timeframe filter to avoid counter-trend trades and spot reversals early.
Best Used For:
Scalping, intraday trading, swing entries, or trend-following systems.
80% Rule Indicator (ETH Session + SVP Prior Session)I created this script to show the 80% opportunity on chart if setting lines up.
"80% rule: Open outside the vah or Val. Spend 30 mins outside there then break back inside spend 15 mins below or above depending which way u broke. Then come back and retest the vah/val and take it to the poc as a first target with the final target being the other Val/vah "
📌 Script Summary
The "80% Rule Indicator (ETH Session + SVP Prior Session)" overlays your chart with prior session value area levels (VAH, VAL, and POC) calculated from extended-hours 30-minute data. It tracks when the price reenters the value area and confirms 80% Rule setups during your chosen trading session. You can optionally trigger alerts, show/hide market sessions, and fine-tune line appearance for a clean, modular workflow.
⚙️ Options & Settings Breakdown
- Use 24-Hour Session (All Markets)
When checked, the indicator ignores time zones and tracks signals during a full 24-hour period (0000-0000), helpful if you're outside U.S. trading hours or want consistent behavior globally.
- Market Session
Dropdown to select one of three key market zones:
- New York (09:30–16:00 ET)
- London (08:00–16:30 local)
- Tokyo (09:00–15:00 local)
Used to gate entry signals during relevant hours unless you choose the 24-hour option.
- Show PD VAH/VAL/POC Lines
Toggle to show or hide prior day’s levels (based on the 30-min extended session). Turning this off removes both the lines and their white text labels.
- Extend Lines Right
When enabled, the VAH/VAL/POC lines extend into the current day’s session. If disabled, they appear only at their anchor point.
- Highlight Selected Session
Adds a soft blue background to help visualize the active session you selected.
- Enable Alert Conditions
Allows TradingView alerts to be created for long/short 80% Rule entries.
- Enable Audible Alerts
Plays an in-chart sound with a popup message (“80% Rule LONG” or “SHORT”) when signals trigger. Requires the chart to be active and sounds enabled in TradingView.
Modified Fractal Open/CloseModified Fractal (Open/Close Based) - Indicator
The Modified Fractal (Open/Close Based) indicator offers a new way to detect fractal patterns on your chart by analyzing the open and close prices instead of the traditional high and low values.
🧮 How it works:
The indicator evaluates a group of 5 consecutive candles.
The central candle (2 bars ago) is analyzed.
For a Bullish Fractal:
The open or close of the central candle must be lower than the open and close of the other 4 surrounding candles.
For a Bearish Fractal:
The open or close of the central candle must be higher than the open and close of the other 4 surrounding candles.
Once a valid pattern is detected, a visual symbol (triangle) is plotted directly on the chart and an alert can be triggered.
✅ Key Features:
Non-repainting signals (evaluated after candle close)
Fully mechanical detection logic
Easy-to-use visual signals
Alert conditions ready to be integrated into TradingView’s alert system
Suitable for multiple timeframes (can be used from M1 to Daily and beyond)
🎯 Use case:
This modified fractal approach can help traders:
Spot potential swing points
Identify possible reversals
Confirm price exhaustion zones
Support breakout or mean reversion strategies
⚠ Note:
This indicator does not provide trade signals by itself. It is recommended to be combined with additional tools, price action analysis, or risk management rules.
Big Move Follow-Through Tracker🚀 What This Indicator Does
Ever wondered if that sudden 5% pump in your favorite crypto will continue or just fade away? This powerful indicator automatically tracks every significant price move and tells you exactly what happened next - momentum continuation or mean reversion.
🎯 Key Features
📊 Smart Move Detection
Automatically identifies "big moves" based on your custom threshold (default 3%)
Uses ATR filtering to ensure moves are truly significant, not just normal volatility
Works on ANY timeframe and ANY crypto pair
🔍 Follow-Through Analysis
Tracks each big move for your specified number of bars (default 5)
Classifies outcomes as either Follow-Through (momentum continues) or Mean Reversion (price reverses)
Uses intelligent 2% thresholds to avoid noise and focus on meaningful moves
📈 Real-Time Statistics Dashboard
Live statistics table showing historical performance
Separate analysis for UP moves vs DOWN moves (crypto often behaves differently!)
Percentage breakdowns of follow-through vs reversion rates
Track total moves detected vs analyzed over time
🎨 Visual Clarity
Clear arrow signals when big moves are detected
Background highlighting during significant moves
Customizable display options - show/hide signals and stats as needed
🛠️ How to Use
Add to any crypto chart (works on BTC, ETH, altcoins, etc.)
Adjust the move threshold (3% for major coins, higher for smaller caps)
Set analysis timeframe (how many bars to track each move)
Watch the statistics build over time to understand your asset's behavior
💡 Trading Applications
For Momentum Traders:
High follow-through rates? → Consider riding the momentum
Trade in direction of big moves when statistics support it
For Mean Reversion Traders:
High reversion rates? → Look for fade opportunities
Counter-trade big moves when they historically reverse
For Risk Management:
Understand typical behavior after significant moves
Size positions based on historical follow-through probabilities
📋 Customizable Settings
Big Move Threshold: Adjust sensitivity (0.5% - 10%)
Analysis Period: How long to track each move (3-20 bars)
Display Options: Toggle signals and statistics table
Alert System: Get notified when big moves occur
🎲 What Makes This Different
Unlike simple momentum indicators, this tool:
✅ Quantifies actual outcomes with real statistics
✅ Adapts to each asset's unique volatility profile
✅ Separates up and down move behavior
✅ Provides actionable probability data
📊 Perfect For
Crypto day traders looking for edge identification
Swing traders wanting to understand momentum vs reversion tendencies
Risk managers needing probability-based position sizing
Strategy developers building data-driven trading systems
⚡ Quick Setup Tips
For Major Cryptos (BTC, ETH): Use 2-4% threshold
For Altcoins: Use 4-8% threshold
For Scalping: Use lower timeframes with 1-2% threshold
For Swing Trading: Use higher timeframes with 5%+ threshold
Multifractal Forecast [ScorsoneEnterprises]Multifractal Forecast Indicator
The Multifractal Forecast is an indicator designed to model and forecast asset price movements using a multifractal framework. It uses concepts from fractal geometry and stochastic processes, specifically the Multifractal Model of Asset Returns (MMAR) and fractional Brownian motion (fBm), to generate price forecasts based on historical price data. The indicator visualizes potential future price paths as colored lines, providing traders with a probabilistic view of price trends over a specified trading time scale. Below is a detailed breakdown of the indicator’s functionality, inputs, calculations, and visualization.
Overview
Purpose: The indicator forecasts future price movements by simulating multiple price paths based on a multifractal model, which accounts for the complex, non-linear behavior of financial markets.
Key Concepts:
Multifractal Model of Asset Returns (MMAR): Models price movements as a multifractal process, capturing varying degrees of volatility and self-similarity across different time scales.
Fractional Brownian Motion (fBm): A generalization of Brownian motion that incorporates long-range dependence and self-similarity, controlled by the Hurst exponent.
Binomial Cascade: Used to model trading time, introducing heterogeneity in time scales to reflect market activity bursts.
Hurst Exponent: Measures the degree of long-term memory in the price series (persistence, randomness, or mean-reversion).
Rescaled Range (R/S) Analysis: Estimates the Hurst exponent to quantify the fractal nature of the price series.
Inputs
The indicator allows users to customize its behavior through several input parameters, each influencing the multifractal model and forecast generation:
Maximum Lag (max_lag):
Type: Integer
Default: 50
Minimum: 5
Purpose: Determines the maximum lag used in the rescaled range (R/S) analysis to calculate the Hurst exponent. A higher lag increases the sample size for Hurst estimation but may smooth out short-term dynamics.
2 to the n values in the Multifractal Model (n):
Type: Integer
Default: 4
Purpose: Defines the resolution of the multifractal model by setting the size of arrays used in calculations (N = 2^n). For example, n=4 results in N=16 data points. Larger n increases computational complexity and detail but may exceed Pine Script’s array size limits (capped at 100,000).
Multiplier for Binomial Cascade (m):
Type: Float
Default: 0.8
Purpose: Controls the asymmetry in the binomial cascade, which models trading time. The multiplier m (and its complement 2.0 - m) determines how mass is distributed across time scales. Values closer to 1 create more balanced cascades, while values further from 1 introduce more variability.
Length Scale for fBm (L):
Type: Float
Default: 100,000.0
Purpose: Scales the fractional Brownian motion output, affecting the amplitude of simulated price paths. Larger values increase the magnitude of forecasted price movements.
Cumulative Sum (cum):
Type: Integer (0 or 1)
Default: 1
Purpose: Toggles whether the fBm output is cumulatively summed (1=On, 0=Off). When enabled, the fBm series is accumulated to simulate a price path with memory, resembling a random walk with long-range dependence.
Trading Time Scale (T):
Type: Integer
Default: 5
Purpose: Defines the forecast horizon in bars (20 bars into the future). It also scales the binomial cascade’s output to align with the desired trading time frame.
Number of Simulations (num_simulations):
Type: Integer
Default: 5
Minimum: 1
Purpose: Specifies how many forecast paths are simulated and plotted. More simulations provide a broader range of possible price outcomes but increase computational load.
Core Calculations
The indicator combines several mathematical and statistical techniques to generate price forecasts. Below is a step-by-step explanation of its calculations:
Log Returns (lgr):
The indicator calculates log returns as math.log(close / close ) when both the current and previous close prices are positive. This measures the relative price change in a logarithmic scale, which is standard for financial time series analysis to stabilize variance.
Hurst Exponent Estimation (get_hurst_exponent):
Purpose: Estimates the Hurst exponent (H) to quantify the degree of long-term memory in the price series.
Method: Uses rescaled range (R/S) analysis:
For each lag from 2 to max_lag, the function calc_rescaled_range computes the rescaled range:
Calculate the mean of the log returns over the lag period.
Compute the cumulative deviation from the mean.
Find the range (max - min) of the cumulative deviation.
Divide the range by the standard deviation of the log returns to get the rescaled range.
The log of the rescaled range (log(R/S)) is regressed against the log of the lag (log(lag)) using the polyfit_slope function.
The slope of this regression is the Hurst exponent (H).
Interpretation:
H = 0.5: Random walk (no memory, like standard Brownian motion).
H > 0.5: Persistent behavior (trends tend to continue).
H < 0.5: Mean-reverting behavior (price tends to revert to the mean).
Fractional Brownian Motion (get_fbm):
Purpose: Generates a fractional Brownian motion series to model price movements with long-range dependence.
Inputs: n (array size 2^n), H (Hurst exponent), L (length scale), cum (cumulative sum toggle).
Method:
Computes covariance for fBm using the formula: 0.5 * (|i+1|^(2H) - 2 * |i|^(2H) + |i-1|^(2H)).
Uses Hosking’s method (referenced from Columbia University’s implementation) to generate fBm:
Initializes arrays for covariance (cov), intermediate calculations (phi, psi), and output.
Iteratively computes the fBm series by incorporating a random term scaled by the variance (v) and covariance structure.
Applies scaling based on L / N^H to adjust the amplitude.
Optionally applies cumulative summation if cum = 1 to produce a path with memory.
Output: An array of 2^n values representing the fBm series.
Binomial Cascade (get_binomial_cascade):
Purpose: Models trading time (theta) to account for non-uniform market activity (e.g., bursts of volatility).
Inputs: n (array size 2^n), m (multiplier), T (trading time scale).
Method:
Initializes an array of size 2^n with values of 1.0.
Iteratively applies a binomial cascade:
For each block (from 0 to n-1), splits the array into segments.
Randomly assigns a multiplier (m or 2.0 - m) to each segment, redistributing mass.
Normalizes the array by dividing by its sum and scales by T.
Checks for array size limits to prevent Pine Script errors.
Output: An array (theta) representing the trading time, which warps the fBm to reflect market activity.
Interpolation (interpolate_fbm):
Purpose: Maps the fBm series to the trading time scale to produce a forecast.
Method:
Computes the cumulative sum of theta and normalizes it to .
Interpolates the fBm series linearly based on the normalized trading time.
Ensures the output aligns with the trading time scale (T).
Output: An array of interpolated fBm values representing log returns over the forecast horizon.
Price Path Generation:
For each simulation (up to num_simulations):
Generates an fBm series using get_fbm.
Interpolates it with the trading time (theta) using interpolate_fbm.
Converts log returns to price levels:
Starts with the current close price.
For each step i in the forecast horizon (T), computes the price as prev_price * exp(log_return).
Output: An array of price levels for each simulation.
Visualization:
Trigger: Updates every T bars when the bar state is confirmed (barstate.isconfirmed).
Process:
Clears previous lines from line_array.
For each simulation, plots a line from the current bar’s close price to the forecasted price at bar_index + T.
Colors the line using a gradient (color.from_gradient) based on the final forecasted price relative to the minimum and maximum forecasted prices across all simulations (red for lower prices, teal for higher prices).
Output: Multiple colored lines on the chart, each representing a possible price path over the next T bars.
How It Works on the Chart
Initialization: On each bar, the indicator calculates the Hurst exponent (H) using historical log returns and prepares the trading time (theta) using the binomial cascade.
Forecast Generation: Every T bars, it generates num_simulations price paths:
Each path starts at the current close price.
Uses fBm to model log returns, warped by the trading time.
Converts log returns to price levels.
Plotting: Draws lines from the current bar to the forecasted price T bars ahead, with colors indicating relative price levels.
Dynamic Updates: The forecast updates every T bars, replacing old lines with new ones based on the latest price data and calculations.
Key Features
Multifractal Modeling: Captures complex market dynamics by combining fBm (long-range dependence) with a binomial cascade (non-uniform time).
Customizable Parameters: Allows users to adjust the forecast horizon, model resolution, scaling, and number of simulations.
Probabilistic Forecast: Multiple simulations provide a range of possible price outcomes, helping traders assess uncertainty.
Visual Clarity: Gradient-colored lines make it easy to distinguish bullish (teal) and bearish (red) forecasts.
Potential Use Cases
Trend Analysis: Identify potential price trends or reversals based on the direction and spread of forecast lines.
Risk Assessment: Evaluate the range of possible price outcomes to gauge market uncertainty.
Volatility Analysis: The Hurst exponent and binomial cascade provide insights into market persistence and volatility clustering.
Limitations
Computational Intensity: Large values of n or num_simulations may slow down execution or hit Pine Script’s array size limits.
Randomness: The binomial cascade and fBm rely on random terms (math.random), which may lead to variability between runs.
Assumptions: The model assumes log-normal price movements and fractal behavior, which may not always hold in extreme market conditions.
Adjusting Inputs:
Set max_lag based on the desired depth of historical analysis.
Adjust n for model resolution (start with 4–6 to avoid performance issues).
Tune m to control trading time variability (0.5–1.5 is typical).
Set L to scale the forecast amplitude (experiment with values like 10,000–1,000,000).
Choose T based on your trading horizon (20 for short-term, 50 for longer-term for example).
Select num_simulations for the number of forecast paths (5–10 is reasonable for visualization).
Interpret Output:
Teal lines suggest bullish scenarios, red lines suggest bearish scenarios.
A wide spread of lines indicates high uncertainty; convergence suggests a stronger trend.
Monitor Updates: Forecasts update every T bars, so check the chart periodically for new projections.
Chart Examples
This is a daily AMEX:SPY chart with default settings. We see the simulations being done every T bars and they provide a range for us to analyze with a few simulations still in the range.
On this intraday PEPPERSTONE:COCOA chart I modified the Length Scale for fBm, L, parameter to be 1000 from 100000. Adjusting the parameter as you switch between timeframes can give you more contextual simulations.
On BITSTAMP:ETHUSD I modified the L to be 1000000 to have a more contextual set of simulations with crypto's volatile nature.
With L at 100000 we see the range for NASDAQ:TLT is correctly simulated. The recent pop stays within the bounds of the highest simulation. Note this is a cherry picked example to show the power and potential of these simulations.
Technical Notes
Error Handling: The script includes checks for array size limits and division by zero (math.abs(denominator) > 1e-10, v := math.max(v, 1e-10)).
External Reference: The fBm implementation is based on Hosking’s method (www.columbia.edu), ensuring a robust algorithm.
Conclusion
The Multifractal Forecast is a powerful tool for traders seeking to model complex market dynamics using a multifractal framework. By combining fBm, binomial cascades, and Hurst exponent analysis, it generates probabilistic price forecasts that account for long-range dependence and non-uniform market activity. Its customizable inputs and clear visualizations make it suitable for both technical analysis and strategy development, though users should be mindful of its computational demands and parameter sensitivity. For optimal use, experiment with input settings and validate forecasts against other technical indicators or market conditions.
Algorithmic Candle Finder {Darkoexe}Algorithmic Candle Finder Indicator
Algorithmic candles are candles whose size and direction are significantly influenced by institutions or large players using market algorithms. These entities can move large amounts of capital in or out of the market, creating price moves that are often difficult for retail traders to predict or react to.
This can make short-term retail trading risky and inconsistent, especially when unaware of such institutional activity. The goal of this indicator is to help identify such candles, allowing traders to avoid trading during times of potential algorithmic influence.
Detection Criteria:
A candle is marked as algorithmic if either of the following conditions are met:
Size-Based Detection: If the current candle’s size exceeds the Average True Range (ATR) of the previous candle multiplied by the ATR factor input.
Volume-Based Detection: If the current candle’s volume exceeds the average volume of recent candles (e.g., last N candles) multiplied by the volume factor input.
When a candle is deemed algorithmic, a label saying "Algo!!!!!" will appear on the chart above the candle where the condition occurred.
Usage:
Use this indicator to study which times of day algorithmic candles frequently appear. This can help you adjust your strategy to avoid trading during these unpredictable moments.
Analogy:
Think of the market like the game Agar.io: small players (retail traders) collect small pellets to grow, while larger players (institutions) devour smaller ones. The small players must avoid the big ones to survive. Likewise, in trading, retail traders should aim to avoid high-impact algorithmic activity that could “consume” their trades.
Lucy – 3-Bar Reversal with EMA50 Trend Filter📛 Lucy – 3-Bar Reversal with EMA50 Trend Filter
Purpose:
To detect and highlight bullish and bearish 3-bar reversal patterns on the chart, but only when they align with the dominant trend, defined by the EMA 50.
✅ How It Works
🟢 Bullish 3-Bar Reversal (Buy Setup):
Bar 1 is bearish (close < open)
Bar 2 makes a lower low than Bar 1
Bar 3 is bullish (close > open) and closes above Bar 2’s high
Price must be above EMA 50 (trend filter)
✅ Result: Shows a green triangle below the bar
🔴 Bearish 3-Bar Reversal (Sell Setup):
Bar 1 is bullish (close > open)
Bar 2 makes a higher high than Bar 1
Bar 3 is bearish (close < open) and closes below Bar 2’s low
Price must be below EMA 50
✅ Result: Shows a red triangle above the bar
📊 What It Plots:
🔼 Green triangle below bullish signal bar
🔽 Red triangle above bearish signal bar
🟠 Orange line = EMA50 (trend filter)
🔔 Built-in Alerts:
You’ll get an alert if:
A bullish reversal pattern forms above EMA50
A bearish reversal pattern forms below EMA50
🧠 Use Cases:
Great for trend-following traders who want clean, price-action entries
Works well on intraday (15m/1h) or swing (4h/daily) timeframes
Can be used for manual entries, or converted to strategy for automation
Line Strategy v6Line Indicator for TradingView
This Pine Script indicator identifies the largest candles on both 5-minute and 1-hour timeframes within the last 240 five-minute bars. It provides visual markers and detailed information to help traders spot significant price movements.
Key Features
Dual Timeframe Analysis:
Identifies largest candle on 5-minute timeframe
Identifies largest candle on 1-hour timeframe (aggregated from 12 five-minute candles)
Visual Markers:
Blue label marks the highest-range 5-minute candle
Purple background highlights the highest-range hourly candle period
Information Table:
Shows price ranges for both timeframes
Displays precise timestamps for identified candles
Color-coded for quick reference
Progress Indicator:
Shows how many bars have been collected (out of 240 required)
How It Works
Data Collection:
Stores high, low, timestamp, and bar index of the last 240 five-minute candles
Automatically updates with each new bar
5-Minute Analysis:
Scans all 5-minute candles to find the one with the largest price range (high - low)
Marks this candle with a blue label showing its range
Hourly Analysis:
Groups 12 five-minute candles to form each hourly candle
Finds the hourly candle with the largest price range
Highlights the entire hour period with a purple background
Information Display:
Creates a table in the top-right corner showing:
Range values for both timeframes
Timestamps of identified candles
Time period of the largest hourly candle
Usage Instructions
Apply the indicator to any 5-minute chart
Wait for the indicator to collect 240 bars (about 20 trading hours)
Results will appear automatically:
Blue label on the largest 5-minute candle
Purple background on the largest hourly candle period
Information table with detailed metrics
Customization Options
You can easily adjust these aspects by modifying the code:
Colors of markers and table cells
Transparency levels of background highlights
Precision of range values displayed
Position of the information table
The indicator is optimized for performance and works in both historical and real-time modes.
GEEKSDOBYTE IFVG w/ Buy/Sell Signals1. Inputs & Configuration
Swing Lookback (swingLen)
Controls how many bars on each side are checked to mark a swing high or swing low (default = 5).
Booleans to Toggle Plotting
showSwings – Show small triangle markers at swing highs/lows
showFVG – Show Fair Value Gap zones
showSignals – Show “BUY”/“SELL” labels when price inverts an FVG
showDDLine – Show a yellow “DD” line at the close of the inversion bar
showCE – Show an orange dashed “CE” line at the midpoint of the gap area
2. Swing High / Low Detection
isSwingHigh = ta.pivothigh(high, swingLen, swingLen)
Marks a bar as a swing high if its high is higher than the highs of the previous swingLen bars and the next swingLen bars.
isSwingLow = ta.pivotlow(low, swingLen, swingLen)
Marks a bar as a swing low if its low is lower than the lows of the previous and next swingLen bars.
Plotting
If showSwings is true, small red downward triangles appear above swing highs, and green upward triangles below swing lows.
3. Fair Value Gap (3‐Bar) Identification
A Fair Value Gap (FVG) is defined here using a simple three‐bar logic (sometimes called an “inefficiency” in price):
Bullish FVG (bullFVG)
Checks if, two bars ago, the low of that bar (low ) is strictly greater than the current bar’s high (high).
In other words:
bullFVG = low > high
Bearish FVG (bearFVG)
Checks if, two bars ago, the high of that bar (high ) is strictly less than the current bar’s low (low).
In other words:
bearFVG = high < low
When either condition is true, it identifies a three‐bar “gap” or unfilled imbalance in the market.
4. Drawing FVG Zones
If showFVG is enabled, each time a bullish or bearish FVG is detected:
Bullish FVG Zone
Draws a semi‐transparent green box from the bar two bars ago (where the gap began) at low up to the current bar’s high.
Bearish FVG Zone
Draws a semi‐transparent red box from the bar two bars ago at high down to the current bar’s low.
These colored boxes visually highlight the “fair value imbalance” area on the chart.
5. Inversion (Fill) Detection & Entry Signals
An inversion is defined as the price “closing through” that previously drawn FVG:
Bullish Inversion (bullInversion)
Occurs when a bullish FVG was identified on bar-2 (bullFVG), and on the current bar the close is greater than that old bar-2 low:
bullInversion = bullFVG and close > low
Bearish Inversion (bearInversion)
Occurs when a bearish FVG was identified on bar-2 (bearFVG), and on the current bar the close is lower than that old bar-2 high:
bearInversion = bearFVG and close < high
When an inversion is true, the indicator optionally draws two lines and a label (depending on input toggles):
Draw “DD” Line (yellow, solid)
Plots a horizontal yellow line from the current bar’s close price extending five bars forward (bar_index + 5). This is often referred to as a “Demand/Daily Demand” line, marking where price inverted the gap.
Draw “CE” Line (orange, dashed)
Calculates the midpoint (ce) of the original FVG zone.
For a bullish inversion:
ce = (low + high) / 2
For a bearish inversion:
ce = (high + low) / 2
Plots a horizontal dashed orange line at that midpoint for five bars forward.
Plot Label (“BUY” / “SELL”)
If showSignals is true, a green “BUY” label is placed at the low of the current bar when a bullish inversion occurs.
Likewise, a red “SELL” label at the high of the current bar when a bearish inversion happens.
6. Putting It All Together
Swing Markers (Optional):
Visually confirm recent swing highs and swing lows with small triangles.
FVG Zones (Optional):
Highlight areas where price left a 3-bar gap (bullish in green, bearish in red).
Inversion Confirmation:
Wait for price to close beyond the old FVG boundary.
Once that happens, draw the yellow “DD” line at the close, the orange dashed “CE” line at the zone’s midpoint, and place a “BUY” or “SELL” label exactly on that bar.
User Controls:
All of the above elements can be individually toggled on/off (showSwings, showFVG, showSignals, showDDLine, showCE).
In Practice
A bullish FVG forms whenever a strong drop leaves a gap in liquidity (three bars ago low > current high).
When price later “fills” that gap by closing above the old low, the script signals a potential long entry (BUY), draws a demand line at the closing price, and marks the midpoint of that gap.
Conversely, a bearish FVG marks a potential short zone (three bars ago high < current low). When price closes below that gap’s high, it signals a SELL, with similar lines drawn.
By combining these elements, the indicator helps users visually identify inefficiencies (FVGs), confirm when price inverts/fills them, and place straightforward buy/sell labels alongside reference lines for trade management.
OpenAI Signal Generator - Enhanced Accuracy# AI-Powered Trading Signal Generator Guide
## Overview
This is an advanced trading signal generator that combines multiple technical indicators using AI-enhanced logic to generate high-accuracy trading signals. The indicator uses a sophisticated combination of RSI, MACD, Bollinger Bands, EMAs, ADX, and volume analysis to provide reliable buy/sell signals with comprehensive market analysis.
## Key Features
### 1. Multi-Indicator Analysis
- **RSI (Relative Strength Index)**
- Length: 14 periods (default)
- Overbought: 70 (default)
- Oversold: 30 (default)
- Used for identifying overbought/oversold conditions
- **MACD (Moving Average Convergence Divergence)**
- Fast Length: 12 (default)
- Slow Length: 26 (default)
- Signal Length: 9 (default)
- Identifies trend direction and momentum
- **Bollinger Bands**
- Length: 20 periods (default)
- Multiplier: 2.0 (default)
- Measures volatility and potential reversal points
- **EMAs (Exponential Moving Averages)**
- Fast EMA: 9 periods (default)
- Slow EMA: 21 periods (default)
- Used for trend confirmation
- **ADX (Average Directional Index)**
- Length: 14 periods (default)
- Threshold: 25 (default)
- Measures trend strength
- **Volume Analysis**
- MA Length: 20 periods (default)
- Threshold: 1.5x average (default)
- Confirms signal strength
### 2. Advanced Features
- **Customizable Signal Frequency**
- Daily
- Weekly
- 4-Hour
- Hourly
- On Every Close
- **Enhanced Filtering**
- EMA crossover confirmation
- ADX trend strength filter
- Volume confirmation
- ATR-based volatility filter
- **Comprehensive Alert System**
- JSON-formatted alerts
- Detailed technical analysis
- Multiple timeframe analysis
- Customizable alert frequency
## How to Use
### 1. Initial Setup
1. Open TradingView and create a new chart
2. Select your preferred trading pair
3. Choose an appropriate timeframe
4. Apply the indicator to your chart
### 2. Configuration
#### Basic Settings
- **Signal Frequency**: Choose how often signals are generated
- Daily: Signals at the start of each day
- Weekly: Signals at the start of each week
- 4-Hour: Signals every 4 hours
- Hourly: Signals every hour
- On Every Close: Signals on every candle close
- **Enable Signals**: Toggle signal generation on/off
- **Include Volume**: Toggle volume analysis on/off
#### Technical Parameters
##### RSI Settings
- Adjust `rsi_length` (default: 14)
- Modify `rsi_overbought` (default: 70)
- Modify `rsi_oversold` (default: 30)
##### EMA Settings
- Fast EMA Length (default: 9)
- Slow EMA Length (default: 21)
##### MACD Settings
- Fast Length (default: 12)
- Slow Length (default: 26)
- Signal Length (default: 9)
##### Bollinger Bands
- Length (default: 20)
- Multiplier (default: 2.0)
##### Enhanced Filters
- ADX Length (default: 14)
- ADX Threshold (default: 25)
- Volume MA Length (default: 20)
- Volume Threshold (default: 1.5)
- ATR Length (default: 14)
- ATR Multiplier (default: 1.5)
### 3. Signal Interpretation
#### Buy Signal Requirements
1. RSI crosses above oversold level (30)
2. Price below lower Bollinger Band
3. MACD histogram increasing
4. Fast EMA above Slow EMA
5. ADX above threshold (25)
6. Volume above threshold (if enabled)
7. Market volatility check (if enabled)
#### Sell Signal Requirements
1. RSI crosses below overbought level (70)
2. Price above upper Bollinger Band
3. MACD histogram decreasing
4. Fast EMA below Slow EMA
5. ADX above threshold (25)
6. Volume above threshold (if enabled)
7. Market volatility check (if enabled)
### 4. Visual Indicators
#### Chart Elements
- **Moving Averages**
- SMA (Blue line)
- Fast EMA (Yellow line)
- Slow EMA (Purple line)
- **Bollinger Bands**
- Upper Band (Green line)
- Middle Band (Orange line)
- Lower Band (Green line)
- **Signal Markers**
- Buy Signals: Green triangles below bars
- Sell Signals: Red triangles above bars
- **Background Colors**
- Light green: Buy signal period
- Light red: Sell signal period
### 5. Alert System
#### Alert Types
1. **Signal Alerts**
- Generated when buy/sell conditions are met
- Includes comprehensive technical analysis
- JSON-formatted for easy integration
2. **Frequency-Based Alerts**
- Daily/Weekly/4-Hour/Hourly/Every Close
- Includes current market conditions
- Technical indicator values
#### Alert Message Format
```json
{
"symbol": "TICKER",
"side": "BUY/SELL/NONE",
"rsi": "value",
"macd": "value",
"signal": "value",
"adx": "value",
"bb_upper": "value",
"bb_middle": "value",
"bb_lower": "value",
"ema_fast": "value",
"ema_slow": "value",
"volume": "value",
"vol_ma": "value",
"atr": "value",
"leverage": 10,
"stop_loss_percent": 2,
"take_profit_percent": 5
}
```
## Best Practices
### 1. Signal Confirmation
- Wait for multiple confirmations
- Consider market conditions
- Check volume confirmation
- Verify trend strength with ADX
### 2. Risk Management
- Use appropriate position sizing
- Implement stop losses (default 2%)
- Set take profit levels (default 5%)
- Monitor market volatility
### 3. Optimization
- Adjust parameters based on:
- Trading pair volatility
- Market conditions
- Timeframe
- Trading style
### 4. Common Mistakes to Avoid
1. Trading without volume confirmation
2. Ignoring ADX trend strength
3. Trading against the trend
4. Not considering market volatility
5. Overtrading on weak signals
## Performance Monitoring
Regularly review:
1. Signal accuracy
2. Win rate
3. Average profit per trade
4. False signal frequency
5. Performance in different market conditions
## Disclaimer
This indicator is for educational purposes only. Past performance is not indicative of future results. Always use proper risk management and trade responsibly. Trading involves significant risk of loss and is not suitable for all investors.
