10 Points Mark on Bars with Wicks Why It Matters
- Precision: Traders using fixed-point strategies (e.g., targeting 10-point gains) rely on identifying such bars.
- Volatility gauge: A 10-point bar can indicate a sudden price move, useful for momentum trading.
Candlestick analysis
10 Points Mark on BarsWhy It Matters
- Precision: Traders using fixed-point strategies (e.g., targeting 10-point gains) rely on identifying such bars.
- Volatility gauge: A 10-point bar can indicate a sudden price move, useful for momentum trading.
10 Points Bar from Open to CloseWhy It Matters
- Precision: Traders using fixed-point strategies (e.g., targeting 10-point gains) rely on identifying such bars.
- Volatility gauge: A 10-point bar can indicate a sudden price move, useful for momentum trading.
10 Points BarMesure 10 points bars
Why It Matters
- Precision: Traders using fixed-point strategies (e.g., targeting 10-point gains) rely on identifying such bars.
- Volatility gauge: A 10-point bar can indicate a sudden price move, useful for momentum trading.
VHB by bigmmVolume-Based Support/Resistance Levels Indicator identifies significant price levels based on high-volume trading activity across three timeframes (4H, D, W). The script draws horizontal lines at key support/resistance levels where trading volume exceeded 60% of the maximum volume observed over the previous 499 periods.
Analyzes volume spikes on 4-hour, daily, and weekly timeframes
Displays colored lines (green for bullish candles, red for bearish candles)
Maintains only the 5 most recent significant levels to avoid chart clutter
Labels each line with its respective timeframe (4H, 1D, 1W)
Lines extend in real-time to show current relevance of each level
Traders can use these volume-based levels to identify potential support/resistance zones and make informed decisions about entry/exit points, recognizing areas where significant trading activity previously occurred.
Real Close Overlay for Heiken AshiDescription:
The Real Close on Heiken Ashi indicator solves one of the biggest problems traders face when using Heiken Ashi candles, the fact that the displayed close is not the true market close.
By default, Heiken Ashi modifies the open, high, low, and close values to create smoother-looking candles. This makes them great for identifying trends, but it also means entries and exits can be misleading if you rely only on the chart.
This tool fixes that by overlaying the real closing price (traditional candlestick close) directly onto your Heiken Ashi chart.
How It Works:
- Plots the true closing price of each bar (from standard candles) onto your Heiken Ashi chart.
- Displays a small, unobtrusive marker (black dot by default) so you can instantly see where price actually closed. Not only does it plot the close, but it moves with real price as the candle is forming so price action is not lost.
- Updates in real time with every new bar.
Why It Matters:
- Use Heiken Ashi for trend clarity without losing price accuracy.
- Avoid entering/exiting based on inaccurate Heiken Ashi body closes.
- Improves stop-loss and take-profit placement by showing where price truly ended the candle.
- Essential for scalpers and short-term traders who need precision without losing true price action.
Best Uses:
- Combine with Heiken Ashi for momentum trading.
- Verify breakout confirmations against the real close.
- Use as an execution reference if you trade a HA-based system.
Disclaimer:
This script is for educational purposes only. It is open source and fully accessible. It does not provide financial advice. Always test thoroughly before applying to live markets.
Primitive Delta DivergencePrimitive Delta Divergence
This indicator detects volume-price divergences by analyzing the relationship between price direction and volume bias over a rolling lookback period, revealing potential momentum shifts before they become apparent in price action alone.
Instead of relying solely on price movements, you can identify moments when volume sentiment contradicts price direction — a core concept borrowed from footprint chart analysis, adapted for traditional bar charts.
For example, when price moves higher but volume is predominantly bearish, or when price declines while volume shows bullish accumulation.
🔹 How it works
Lookback Period (n) → defines the rolling window for analyzing price and volume relationships
Creates a "meta-candle" from the lookback period, comparing its open vs. close for price bias
Volume classification → separates each bar's volume into bullish (green candles), bearish (red candles), or neutral (doji candles)
Volume bias calculation → generates a continuous score (-1 to +1) representing the directional volume pressure
Plots divergence signals when price direction and volume bias disagree
🔹 Use cases
Spot early momentum exhaustion when price and volume move in opposite directions
Identify potential reversal zones where volume suggests underlying weakness or strength
Enhance entry/exit timing by incorporating volume-based confirmation alongside price action
Apply footprint-style analysis to any timeframe without specialized charting tools
✨ Primitive Delta Divergence reveals the hidden story volume tells about price, uncovering divergences that traditional indicators might miss.
PINAKI__RSI M/W/D/H/15 (Top Right, Padding)display monthly, weekly, daily, 1Hr, 15Min RSI in single frame
Traders Reality MT4 Sessions V2Bigger project for near future
Added option to adjust table size.
visit tradersreality.com for all information
original creators is mentioned in code
Momentum Signals – Real-time (Repainting)This indicator generates real-time BUY/SELL signals using a confluence of VWMA trend, 3-bar momentum, and volume, then filters them by a strength score.
⚠️ **WARNING:** This version **repaints**; signals can appear and disappear before the bar closes.
Momentum Signals – Real-time (Repainting)This indicator generates real-time BUY/SELL signals using a confluence of VWMA trend, 3-bar momentum, and volume, then filters them by a strength score.
⚠️ WARNING: This version repaints; signals can appear and disappear before the bar closes.
Indian market session on Gift Nifty chartsGift Nifty Market Session Highlighter
This indicator highlights the official Indian market session on Gift Nifty charts — from 9:15 AM to 3:30 PM IST. It shades the background during this time window so traders can instantly identify when the local market is open.
Features:
Marks 9:15 AM to 3:30 PM (IST) session on intraday charts.
Adjustable highlight color and transparency.
Works seamlessly across lower timeframes (1m, 5m, 15m, etc.).
Helps traders align Gift Nifty activity with NSE market hours.
Use Cases:
Quickly distinguish active market hours from overnight or global sessions.
Backtest trading strategies specific to Indian session volatility.
Improv
e focus on expiry-day setups and intraday opportunities.
Disclaimer:
This tool is provided for educational and informational purposes only. It is not financial advice, nor does it guarantee trading success. Always do your own research and consult a licensed financial professional before making investment decisions.
Pullback Entry Alert (8ema/21ema/50ma/200ma)8ema, 21ema, 50MA, and 200MA alert for pullback buy entries
KCandle/Boost con Filtro EMA e 75%- Engulfing candle filtered with a custom EMA.
- 75% of the candle is plotted on the right.
Sessions+Days Marker (SigmaSita)An indicator that marks the sessions and days. You can adjust session start times. Sessions are Asian, London and New York.
10 AM Reversal/Continuation Zone BY DAN GESPlots the high and low between 9.30 - 10:00am ET
Colours the zone between those two levels.
Highlights when price breaks above or below that zone after 10:00am
BE-Volume Footprint & Pressure Candles█ Overview:
BE-Volume Footprint & Pressure Candles, is an indicator which is preliminarily designed to analyze the supply and demand patterns based on Rally Base Rally (RBR), Drop Base Drop (DBD), Drop Base Rally (DBR) & Rally Base Drop (RBD) concepts in conjunction to volume pressure. Understanding these concepts are crucial. Let's break down why the "Base" is you Best friend in this context.
Commonness in RBR, DBD, DBR, RBD patterns ?
There is an impulse price movement at first, be it rally (price moving up) or the Drop (price moving down), followed by a period of consolidation which is referred as "BASE" and later with another impulse move of price (Rally or Drop).
Why is the Base Important
1. Market Balance: Base represents a balance between buyers and sellers. This is where decisions are made.
2. Confirmation: It confirms the strength of previous impulse move which has happened.
Base & the Liquidity Play:
Supply & Demand Zone predict the presence of all large orders within the limits of the Base Zone. Price is expected to return to the zone to fill the unfilled orders placed by large players.
For the price to move in the intended direction Liquidity plays the major role. hence indicator aims to help traders in identifying those zones where liquidity exists and the volume pressure helps in confirming that liquidity is making its play.
Bottom pane in the below snapshots is a visual representation of Buyers volume pressure (Green Line & the Green filled area) making the price move upwards vs Sellers volume pressure (Red Line & the Red filled area) making the price move downwards.
Top pane in the below snapshots is a visual representation on the pattern identification (Blue marked zone & the Blue line referred as Liquidity level)
Bullish Pressure On Buy Liquidity:
Bearish Pressure On Sell Liquidity:
█ How It Works:
1. Indicator computes technical & mathematical operations such as ATR, delta of Highs & Lows of the candle and Candle ranges to identify the patterns and marks the liquidity lines accordingly.
2. Indicator then waits for price to return to the liquidity levels and checks if Directional volume pressure to flow-in while the prices hover near the Liquidity zones.
3. Once the Volume pressure is evident, loop in to the ride.
█ When It wont Work:
When there no sufficient Liquidity or sustained Opposite volume pressure, trades are expected to fail.
█ Limitations:
Works only on the scripts which has volume info. Relays on LTF candles to determine intra-bar volumes. Hence, Use on TF greater than 1 min and lesser than 15 min.
█ Indicator Features:
1. StrictEntries: employs' tighter rules (rather most significant setups) on the directional volume pressure applied for the price to move. If unchecked, liberal rules applied on the directional volume pressure leading to more setups being identified.
2. Setup Confirmation period: Indicates Waiting period to analyze the directional volume pressure. Early (lesser wait period) is Risky and Late (longer wait period) is too late for the
ride. Find the quant based on the accuracy of the setup provided in the bottom right table.
3. Algo Enabled with Place Holders:
Indicator is equipped with algo alerts, supported with necessary placeholders to trade any instrument like stock, options etc.
Accepted PlaceHolders (Case Sensitive!!)
1. {{ticker}}-->InstrumentName
2. {{datetime}}-->Date & Time Of Order Placement
3. {{close}}-->LTP Price of Script
4. {{TD}}-->Current Level:
Note: Negative Numbers for Short Setup
5. {{EN}} {{SL}} {{TGT}} {{T1}} {{T2}} --> Trade Levels
6. {{Qty}} {{Qty*x}} --> Qty -> Trade Qty mapped in Settings. Replace x with actual number of your choice for the multiplier
7. {{BS}}-->Based on the Direction of Trade Output shall be with B or S (B == Long Trade & S == Short Trade)
8. {{BUYSELL}}-->Based on the Direction of Trade Output shall be with BUY or SELL (BUY == Long Trade & SELL == Short Trade)
9. {{IBUYSELL}}-->Based on the Direction of Trade Output shall be with BUY or SELL (BUY == SHORT Trade & SELL == LONG Trade)
Dynamic Alerts:
10. { {100R0} }-->Dynamic Place Holder 100 Refers to Strike Difference and Zero refers to ATM
11. { {100R-1} }-->Dynamic Place Holder 100 Refers to Strike Difference and -1 refers to
ATM - 100 strike
12. { {50R2} }-->Dynamic Place Holder 50 Refers to Strike Difference and 2 refers to
ATM + (2 * 50 = 100) strike
13. { {"ddMMyy", 0} }-->Dynamically Picks today date in the specified format.
14. { {"ddMMyy", n} }-->replace n with actual number of your choice to Pick date post today date in the specified format.
15. { {"ddMMyy", "MON"} }-->dynamically pick Monday date (coming Monday, if today is not Monday)
Note. for the 2nd Param-->you can choose to specify either Number OR any letter from =>
16. {{CEPE}} {{ICEPE}} {{CP}} {{ICP}} -> Dynamic Option Side CE or C refers to Calls and PE or P refers to Puts. If "I" is used in PlaceHolder text, On long entries PUTs shall be used
Indicator is equipped with customizable Trade & Risk management settings like multiple Take profit levels, Trailing SL.
Statistical FootprintStatistical Footprint - Behavioral Support & Resistance
This indicator identifies key price levels based on actual market behavior rather than traditional pivot calculations. It analyzes how bulls and bears have historically moved price from session opens, creating statistical zones where future reactions are most likely.
The concept is simple: track how far bullish candles typically push above the open versus how far bearish candles drop below it. These patterns reveal the market's behavioral "footprint" - showing where momentum typically stalls and reverses.
Key Features:
- Separate analysis for daily and weekly timeframes
- Smart zone merging when levels cluster together (within 5 points)
- Uses both mean and median calculations for more robust levels
- XGBoost-optimized lookback periods for maximum statistical significance
- Clean zone-only display focused on actionable price areas
How it Works:
The code separates bullish and bearish sessions, measuring their typical range extensions from the open. It then projects these statistical ranges forward from current session opens, creating "behavioral zones" where the market has historically shown consistent reactions.
When daily and weekly levels align closely, they merge into combined zones with enhanced significance. Labels show both the mean and median values when they differ meaningfully.
Best Used For:
- Identifying high-probability reversal zones
- Setting profit targets based on historical behavior
- Understanding market sentiment shifts at key levels
- Confluence analysis between different timeframes
The lookback periods have been optimized using machine learning to find the most predictive historical sample sizes for current market conditions.
Session Open Candle MarkerThe "Session Open Candle Marker" is a Pine Script indicator designed for forex and futures traders using Smart Money Concepts (SMC) and RP Profits-inspired strategies. It marks the 15-minute opening range candles for the Asia, London, and NY sessions, where institutional "big players" often gather liquidity. Each session’s range is drawn as a rectangle with a customizable midpoint line, ideal for spotting breakouts, retests, and liquidity sweeps.
Features
Session Open Ranges: Plots rectangles for the 15m open candles of Asia (03:00 EEST), London (10:00 EEST), and NY (15:00 EEST), corresponding to 01:00, 08:00, and 13:00 GMT+1.
Customizable Visualization:
Toggle each session (Asia, London, NY) on/off.
Independent high/low label toggles for each session.
Adjustable rectangle color, midpoint line color, style (solid/dashed/dotted), and width.
Customizable rectangle duration (default: 96 bars, ~24 hours on 15m).
Timezone Flexibility: Default times are set for EEST (UTC+3). Adjust session inputs for your chart’s timezone (e.g., GMT+1: Asia 01:00, London 08:00, NY 13:00; UTC: Asia 00:00, London 07:00, NY 12:00).
Clean Design: Rectangles and labels update dynamically, with proper cleanup to avoid clutter.
Usage:
Setup: Add to a 15m chart (e.g., EURUSD, ES1!). Check your chart’s timezone (Chart Settings > Symbol > Timezone) and adjust session times if needed.
Settings:
Toggle sessions and labels to focus on desired ranges (e.g., London and NY for high volatility).
Customize colors, midpoint line style/width, and rectangle duration.
Trading:
Breakouts/Retests: Trade breakouts above/below the rectangle high/low, with retests back to the range or midpoint (aligned with RP Profits scalping).
Liquidity Sweeps: Watch for price sweeping session highs/lows, reversing for entries (SMC concept).
ORB Breakouts with alerts"ORB Breakouts with Alerts" is a utility indicator that highlights an Opening Range Breakout (ORB) setup during a user-defined intraday time window. It allows traders to visualize price consolidation ranges and receive alerts when price breaks above or below the session high/low.
🔧 Features:
*Customizable session time (start and end), adjustable to local time using a timezone offset.
*Automatically plots:
*A shaded box around the session's high and low.
*Horizontal lines at session high and low levels.
*Optional "BUY"/"SELL" labels to mark breakout directions.
*Visual breakout signals when price crosses above or below the session range.
*Built-in alerts to notify when breakouts occur.
*Configurable styling options including box color, highlight color, and label placement.
⚙️ How It Works:
*During the defined time range, the script tracks the highest high and lowest low.
*After the session ends:
*A box is drawn to represent the opening range.
*Breakouts above the high or below the low trigger visual markers and optional alerts.
*Alerts are limited to one per direction per day to reduce noise.
⚠️ This indicator is a technical analysis tool only and does not provide financial advice or trade recommendations. Always use with proper risk management and in conjunction with your trading plan.
HorizonSigma Pro [CHE]HorizonSigma Pro
Disclaimer
Not every timeframe will yield good results . Very short charts are dominated by microstructure noise, spreads, and slippage; signals can flip and the tradable edge shrinks after costs. Very high timeframes adapt more slowly, provide fewer samples, and can lag regime shifts. When you change timeframe, you also change the ratios between horizon, lookbacks, and correlation windows—what works on M5 won’t automatically hold on H1 or D1. Liquidity, session effects (overnight gaps, news bursts), and volatility do not scale linearly with time. Always validate per symbol and timeframe, then retune horizon, z-length, correlation window, and either the neutral band or the z-threshold. On fast charts, “components” mode adapts quicker; on slower charts, “super” reduces noise. Keep prior-shift and calibration enabled, monitor Hit Rate with its confidence interval and the Brier score, and execute only on confirmed (closed-bar) values.
For example, what do “UP 61%” and “DOWN 21%” mean?
“UP 61%” is the model’s estimated probability that the close will be higher after your selected horizon—directional probability, not a price target or profit guarantee. “DOWN 21%” still reports the probability of up; here it’s 21%, which implies 79% for down (a short bias). The label switches to “DOWN” because the probability falls below your short threshold. With a neutral-band policy, for example ±7%, signals are: Long above 57%, Short below 43%, Neutral in between. In z-score mode, fixed z-cutoffs drive the call instead of percentages. The arrow length on the chart is an ATR-scaled projection to visualize reach; treat it as guidance, not a promise.
Part 1 — Scientific description
Objective.
The indicator estimates the probability that price will be higher after a user-defined horizon (a chosen number of bars) and emits long, short, or neutral decisions under explicit thresholds. It combines multi‑feature, z‑normalized inputs, adaptive correlation‑based weighting, a prior‑shifted sigmoid mapping, optional rolling probability calibration, and repaint‑safe confirmation. It also visualizes an ATR‑scaled forward projection and prints a compact statistics panel.
Data and labeling.
For each bar, the target label is whether price increased over the past chosen horizon. Learning is deliberately backward‑looking to avoid look‑ahead: features are associated with outcomes that are only known after that horizon has elapsed.
Feature engineering.
The feature set includes momentum, RSI, stochastic %K, MACD histogram slope, a normalized EMA(20/50) trend spread, ATR as a share of price, Bollinger Band width, and volume normalized by its moving average. All features are standardized over rolling windows. A compressed “super‑feature” is available that aggregates core trend and momentum components while penalizing excessive width (volatility). Users can switch between a “components” mode (weighted sum of individual features) and a “super” mode (single compressed driver).
Weighting and learning.
Weights are the rolling correlations between features (evaluated one horizon ago) and realized directional outcomes, smoothed by an EMA and optionally clamped to a bounded range to stabilize outliers. This produces an adaptive, regime‑aware weighting without explicit machine‑learning libraries.
Scoring and probability mapping.
The raw score is either the weighted component sum or the weighted super‑feature. The score is standardized again and passed through a sigmoid whose steepness is user‑controlled. A “prior shift” moves the sigmoid’s midpoint to the current base rate of up moves, estimated over the evaluation window, so that probabilities remain well‑calibrated when markets drift bullish or bearish. Probabilities and standardized scores are EMA‑smoothed for stability.
Decision policy.
Two modes are supported:
- Neutral band: go long if the probability is above one half plus a user‑set band; go short if it is below one half minus that band; otherwise stay neutral.
- Z‑score thresholds: use symmetric positive/negative cutoffs on the standardized score to trigger long/short.
Repaint protection.
All values used for decisions can be locked to confirmed (closed) bars. Intrabar updates are available as a preview, but confirmed values drive evaluation and stats.
Calibration.
An optional rolling linear calibration maps past confirmed probabilities to realized outcomes over the evaluation window. The mapping is clipped to the unit interval and can be injected back into the decision logic if desired. This improves reliability (probabilities that “mean what they say”) without necessarily improving raw separability.
Evaluation metrics.
The table reports: hit rate on signaled bars; a Wilson confidence interval for that hit rate at a chosen confidence level; Brier score as a measure of probability accuracy; counts of long/short trades; average realized return by side; profit factor; net return; and exposure (signal density). All are computed on rolling windows consistent with the learning scheme.
Visualization.
On the chart, an arrowed projection shows the predicted direction from the current bar to the chosen horizon, with magnitude scaled by ATR (optionally scaled by the square‑root of the horizon). Labels display either the decision probability or the standardized score. Neutral states can display a configurable icon for immediate recognition.
Computational properties.
The design relies on rolling means, standard deviations, correlations, and EMAs. Per‑bar cost is constant with respect to history length, and memory is constant per tracked series. Graphical objects are updated in place to obey platform limits.
Assumptions and limitations.
The method is correlation‑based and will adapt after regime changes, not before them. Calibration improves probability reliability but not necessarily ranking power. Intrabar previews are non‑binding and should not be evaluated as historical performance.
Part 2 — Trader‑facing description
What it does.
This tool tells you how likely price is to be higher after your chosen number of bars and converts that into Long / Short / Neutral calls. It learns, in real time, which components—momentum, trend, volatility, breadth, and volume—matter now, adjusts their weights, and shows you a probability line plus a forward arrow scaled by volatility.
How to set it up.
1) Choose your horizon. Intraday scalps: 5–10 bars. Swings: 10–30 bars. The default of 14 bars is a balanced starting point.
2) Pick a feature mode.
- components: granular and fast to adapt when leadership rotates between signals.
- super: cleaner single driver; less noise, slightly slower to react.
3) Decide how signals are triggered.
- Neutral band (probability based): intuitive and easy to tune. Widen the band for fewer, higher‑quality trades; tighten to catch more moves.
- Z‑score thresholds: consistent numeric cutoffs that ignore base‑rate drift.
4) Keep reliability helpers on. Leave prior shift and calibration enabled to stabilize probabilities across bullish/bearish regimes.
5) Smoothing. A short EMA on the probability or score reduces whipsaws while preserving turns.
6) Overlay. The arrow shows the call and a volatility‑scaled reach for the next horizon. Treat it as guidance, not a promise.
Reading the stats table.
- Hit Rate with a confidence interval: your recent accuracy with an uncertainty range; trust the range, not only the point.
- Brier Score: lower is better; it checks whether a stated “70%” really behaves like 70% over time.
- Profit Factor, Net Return, Exposure: quick triage of tradability and signal density.
- Average Return by Side: sanity‑check that the long and short calls each pull their weight.
Typical adjustments.
- Too many trades? Increase the neutral band or raise the z‑threshold.
- Missing the move? Tighten the band, or switch to components mode to react faster.
- Choppy timeframe? Lengthen the z‑score and correlation windows; keep calibration on.
- Volatility regime change? Revisit the ATR multiplier and enable square‑root scaling of horizon.
Execution and risk.
- Size positions by volatility (ATR‑based sizing works well).
- Enter on confirmed values; use intrabar previews only as early signals.
- Combine with your market structure (levels, liquidity zones). This model is statistical, not clairvoyant.
What it is not.
Not a black‑box machine‑learning model. It is transparent, correlation‑weighted technical analysis with strong attention to probability reliability and repaint safety.
Suggested defaults (robust starting point).
- Horizon 14; components mode; weight EMA 10; correlation window 500; z‑length 200.
- Neutral band around seven percentage points, or z‑threshold around one‑third of a standard deviation.
- Prior shift ON, Calibration ON, Use calibrated for decisions OFF to start.
- ATR multiplier 1.0; square‑root horizon scaling ON; EMA smoothing 3.
- Confidence setting equivalent to about 95%.
Disclaimer
No indicator guarantees profits. HorizonSigma Pro is a decision aid; always combine with solid risk management and your own judgment. Backtest, forward test, and size responsibly.
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Enhance your trading precision and confidence 🚀
Best regards
Chervolino
Candle ShapeCandle Shape
This indicator visualizes rolling candles that aggregate price action over a chosen lookback period, allowing you to see how OHLC dynamics evolve in real time.
Instead of waiting for a higher timeframe (HTF) bar to close, you can track its development directly from a lower timeframe chart.
For example, view how a 1-hour candle is forming on a 1-minute chart — complete with rolling open, high, low, and close levels, as well as colored body and wick areas.
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🔹 How it works
- Lookback Period (n) → sets the bucket size, defining how many bars are merged into a “meta-candle.”
- The script continuously updates the meta-open, meta-high, meta-low, and meta-close.
- Body and wick areas are filled with color , making bullish/bearish transitions easy to follow.
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🔹 Use cases
- Monitor the intra-development of higher timeframe candles.
- Analyze rolling OHLC structures to understand how price dynamics shift across different aggregation windows.
- Explore unique perspectives for strategy confirmation, breakout anticipation, and market structure analysis.
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✨ Candle Shape bridges the gap between timeframes and uncovers new layers of price interaction.