Indicator
Indicator
Market Entropy IndexMarket Entropy Index (MEI)
Most risk indicators react to price. They measure what has already happened. The Market Entropy Index takes a different approach: it measures the structural organization of the market itself, identifying fragility before it becomes visible in price. When sector participation narrows, when sectors stop agreeing on direction, and when credit markets become complacent, the MEI detects these precursor conditions. It applies information theoretic entropy to three independent dimensions of market structure, producing a single composite that distinguishes broad, healthy markets from concentrated, fragile ones. This makes it a leading indicator of structural risk, not a coincident crash detector.
What entropy means in financial markets
Entropy, as formalized by Shannon (1948), quantifies uncertainty in a probability distribution. In information theory, a distribution where all outcomes are equally likely has maximum entropy. A distribution concentrated on a single outcome has minimum entropy. Applied to financial markets, this framework has been used in two distinct ways that should not be confused.
The first is temporal return entropy: measuring how the distribution of an index's daily returns changes over time. Risso (2008) showed that Shannon entropy of stock market return distributions drops before financial crashes, as returns become more extreme and less uniformly distributed. Zunino et al. (2009) found that permutation entropy of return series tracks market efficiency and deteriorates during stress. Gu (2017) extended this to multiple time scales. These studies all measure the statistical properties of a single return series over time.
The second is cross-sectional entropy, which is what the MEI uses. Instead of asking "how are returns distributed over time?", it asks "how is market activity distributed across sectors right now?" When all nine S&P 500 GICS sectors contribute equally to market movement, the entropy of their return distribution reaches its theoretical maximum: roughly log2(9) = 3.17 bits. This corresponds to broad, healthy participation. When movement concentrates in two or three sectors while the rest are flat, entropy drops. The market relies on a narrow base.
These two types of entropy can move in opposite directions. During an acute crash, temporal return entropy drops (Risso's finding: returns become extreme and non-normal). But cross-sectional breadth entropy often rises, because all sectors sell off together, producing a more uniform distribution across the cross-section. The MEI does not measure temporal return entropy. It measures cross-sectional breadth entropy and two related structural conditions. This distinction matters for interpretation (see the section on what the MEI does not do).
How the MEI is constructed
The indicator combines three dimensions, each measuring a distinct aspect of market fragility. All three were validated through statistical screening with Bonferroni correction across seven different parameter configurations to guard against data-mining bias.
Sector Breadth Concentration (weight: 0.40)
This is the primary dimension. It computes the Shannon entropy of the distribution of smoothed absolute returns across nine GICS sector ETFs (XLB, XLE, XLF, XLI, XLK, XLP, XLU, XLV, XLY) over a 21-day rolling window. The entropy value is normalized to the theoretical maximum so it ranges from 0 (all activity in one sector) to 1 (perfectly uniform distribution).
The critical finding from backtesting: low sector entropy (concentrated breadth) is the danger condition, not high entropy. When market movement narrows to a few sectors, the rally or sell-off lacks structural support. This is consistent with the well-documented market breadth divergence effect: narrow rallies tend to precede corrections. In our testing, the low-entropy tercile showed significantly worse forward returns than the high-entropy tercile across a 21-day horizon (spread = +1.18%, t = 5.81, p = 7.3e-09, Bonferroni-significant in all seven parameter configurations).
Sector Directional Discord (weight: 0.30)
This dimension measures the fraction of sectors that agree on daily direction (all up or all down), averaged over 21 days. When eight of nine sectors move in the same direction, concordance is high, indicating a coherent market. When sectors split nearly evenly between positive and negative days, concordance drops, signaling confusion, rotation, or conflicting macro forces.
Low concordance (high discord) is the danger condition. Sectors disagreeing on direction means the market lacks conviction and is vulnerable to dislocations. This dimension was Bonferroni-significant in five of seven parameter configurations (21d: spread = +0.97%, t = 5.20, p = 2.2e-07).
Credit Complacency (weight: 0.30)
The third dimension measures the rolling standard deviation of the daily return spread between iShares High Yield Corporate Bond ETF (HYG) and iShares Investment Grade Corporate Bond ETF (LQD), normalized by its 252-day average. This ratio captures how volatile credit spreads are relative to their recent history.
Low credit spread volatility is the danger condition. When credit markets are calm and spreads barely move, it often reflects complacent risk pricing. The empirical parallel is well-supported: Gilchrist and Zakrajsek (2012) showed that credit spread dynamics, specifically the excess bond premium, predict economic downturns and equity returns. In our testing, this dimension produced the strongest individual t-statistic (63d: spread = +1.89%, t = 6.73, p = 2.2e-11, Bonferroni-significant in three of seven configurations).
Signal processing
Each dimension is z-scored over a 252-day lookback and clipped at three standard deviations. The z-scores are sign-inverted so that high values consistently indicate danger across all three dimensions. After weighting, the composite is re-standardized over 252 days to restore the variance lost through averaging weakly correlated signals. The result is scaled to a 0-10 range (5.0 + z * 2.0) and smoothed with a Kaufman Adaptive Moving Average (Kaufman, 2013). The KAMA adjusts its smoothing speed based on the efficiency ratio of the composite: during clear regime transitions, it responds quickly; during choppy sideways periods, it filters noise. A minimum smoothing constant floor prevents the filter from becoming excessively sluggish.
How to read the MEI
0 to 3: Low Risk. All three dimensions read safe. Sectors participate broadly, agree on direction, and credit markets are actively pricing risk. These conditions are historically associated with favorable forward equity returns.
3 to 7: Normal. No structural signal in either direction. The market is in equilibrium. This is the expected reading roughly two-thirds of the time.
7 to 10: Elevated Risk. One or more dimensions show stress. Sector participation is narrowing, directional agreement is breaking down, or credit markets have become complacent. The higher the reading, the more dimensions agree on risk.
The dashboard shows each dimension individually, so you can diagnose what is driving the composite. The historical percentile tells you where the current reading sits relative to the past 252 days. The trend direction (with arrow symbols) shows whether risk is rising or falling.
What the MEI detects and what it does not
The MEI is a leading indicator of structural fragility, not a coincident crash detector. It measures conditions that build up before market stress: narrowing sector participation, loss of directional agreement, and complacent credit pricing. These are precursor conditions. They describe a market that has become structurally fragile, not one that is already falling apart.
During an acute sell off, the MEI typically drops toward the green zone. This is not a malfunction. When all sectors sell off together, breadth entropy actually increases (uniform distribution across sectors), concordance rises (all sectors agree on the down direction), and credit spread volatility spikes (the opposite of complacency). All three dimensions read "safe" precisely because the structural fragility has already resolved through the sell-off itself.
The practical implication: the MEI is most useful in the quiet periods before stress, when markets look calm but the underlying structure is deteriorating. If the MEI reads 8 while the SPX is making new highs, that is a warning worth paying attention to. If the MEI reads 2 during a violent correction, that means the correction is broad-based and structural participation is actually healthy, which is historically a better setup for recovery than a narrow, concentrated decline.
How to use it in practice
The MEI is a regime monitor, not a timing signal. It answers the question "what kind of market are we in?" rather than "should I buy or sell today?" The most productive way to use it:
As a confluence filter: combine the MEI with your existing trend-following or mean-reversion strategy. When the MEI reads above 7, tighten stops, reduce position sizes, or require stronger entry signals. When it reads below 3, conditions favor taking positions.
As an allocation tool: for portfolio managers running multi-asset or tactical allocation, the MEI provides a daily structural risk reading that can scale equity exposure. Reduce equity allocation when the composite is elevated, increase when it is low.
As a diagnostic tool: enable the individual components (Breadth Concentration, Directional Discord, Credit Complacency) to understand what is driving the composite. If only one dimension is elevated while the others are normal, the risk may be localized. If all three converge, the structural case is stronger.
For monitoring credit conditions: the Credit Complacency dimension alone serves as a real-time gauge of credit market risk pricing. Low readings (complacency) have historically preceded episodes of spread widening.
Quant fund applications
For systematic portfolio managers and quantitative research teams, the MEI framework offers several practical applications.
As a regime classifier for conditional strategies: most equity strategies behave differently in ordered versus disordered markets. Momentum strategies, for example, tend to work well when breadth entropy is high (broad participation) and poorly when it is low (concentrated leadership). The MEI provides a daily regime classification that can condition strategy selection or parameter adjustment. In our backtesting, the composite showed a spread of +2.86% (21-day forward returns, t = 5.91) in high-volatility regimes, offering a quantitatively meaningful signal for regime-conditional allocation.
As a risk budget input: the three z-scored danger signals can feed directly into a risk budgeting framework. When breadth_danger or credit_danger exceeds one standard deviation, the risk model can automatically reduce gross exposure or hedge tail risk. The low cross-correlation between dimensions (breadth-credit: rho = -0.07, breadth-discord: rho = 0.20) means each dimension adds genuine incremental information to the risk estimate.
As an alpha decay monitor: sector concentration (low breadth entropy) is one mechanism through which crowded trades develop. When the breadth dimension rises, it may indicate that a previously broad factor exposure has narrowed to a few names or sectors, which is a warning sign for factor crowding and potential alpha decay.
As a multi-asset overlay: the framework extends naturally beyond equities. The same entropy-based approach can be applied to any cross-section of assets (currencies, commodities, fixed income sectors) to detect concentration and complacency.
Limitations
This indicator has clear boundaries that users should understand.
It detects fragility, not crashes. The MEI measures structural precursors (concentration, complacency, discord) that build up before stress events. During acute sell-offs, the indicator typically drops because the conditions it measures dissolve once panic selling is broad-based. Do not expect the MEI to read red during a crash. Expect it to read red before one.
The signal is regime-dependent. In high-volatility and bear markets, the composite works as designed: high readings correspond to worse forward returns, low readings to better. In calm, trending bull markets, the relationship weakens and can reverse. This is because the "danger" conditions (concentrated breadth, credit complacency) can persist for extended periods during healthy trends without leading to corrections. Weight MEI readings more heavily when realized volatility is already elevated.
It is designed for the S&P 500. The sector ETFs and credit instruments are U.S.-specific. Applying the indicator to other indices or asset classes without modifying the data sources would not be methodologically sound.
It requires a daily timeframe. The cross-sector entropy and credit spread calculations require daily closing prices. Intraday data introduces noise that degrades the signal quality.
It needs historical depth. The z-score normalization uses a 252-day lookback. Results during the first year of data should be treated with caution.
It is not a standalone system. No single indicator captures all relevant market dynamics. The MEI measures structural conditions. It does not measure momentum, valuation, sentiment, or liquidity directly. Use it alongside other analytical tools.
References
Gilchrist, S. and Zakrajsek, E. (2012) 'Credit Spreads and Business Cycle Fluctuations', American Economic Review, 102(4), pp. 1692-1720.
Gu, R. (2017) 'Multiscale Shannon entropy and its application in the stock market', Physica A, 484, pp. 215-224.
Kaufman, P.J. (2013) Trading Systems and Methods. 5th edn. Hoboken: Wiley.
Risso, W.A. (2008) 'The informational efficiency and the financial crashes', Research in International Business and Finance, 22(3), pp. 396-408.
Shannon, C.E. (1948) 'A Mathematical Theory of Communication', Bell System Technical Journal, 27(3), pp. 379-423.
Zunino, L., Zanin, M., Tabak, B.M., Perez, D.G. and Rosso, O.A. (2009) 'Forbidden patterns, permutation entropy and stock market inefficiency', Physica A, 388(14), pp. 2854-2864.
Indicator
Luxy BOSS MODE - Support & ResistanceBOSS MODE S/R is a comprehensive Support & Resistance system that detects, scores, and learns from every zone reaction — then automatically generates trade plans with entry, stop, target, and position size.
Unlike traditional S/R indicators that simply draw lines, BOSS MODE combines 6 detection engines , an adaptive scoring algorithm , a real-time momentum classifier powered by the Luxy Energy Index, and a Trade Plan Generator that calculates exact risk parameters based on your account.
── WHAT MAKES IT DIFFERENT ──
1. Adaptive Weight Scoring
Every zone is scored 0-100 based on 7 factors: volume at touch, higher-timeframe origin, confluence with other zones, freshness, touch count, regime alignment, and historical performance. After 20+ observed zone outcomes (first bounce or first break per zone), the system adjusts its scoring weights based on which factors correlated with bounces vs breaks on that specific chart and asset.
2. LEI-Powered Momentum Classifier
Uses the Luxy Energy Index (Extension + Velocity + Volume exhaustion model) to classify each approaching zone as likely BOUNCE or BREAK . LEI ≥ 70 = exhausted move arriving at zone = bounce expected. LEI ≤ 30 = energized move = break risk.
3. Trade Plan Generator
For qualifying setups (Grade A/B zone, regime-aligned, R:R above your minimum), the indicator auto-calculates:
Entry — just beyond zone boundary
Stop Loss — opposite side of zone + ATR buffer
Target — nearest zone in trade direction
Position Size — based on your account size and risk %
R:R ratio — only shows when above your minimum
4. Per-Zone Intelligence
Every zone tracks its own history: how many times it bounced vs broke, average bounce distance in ATR units, and hold rate. Labels show this inline: ⬆ SUPPORT 📐 82 5/7 +0.4ᴬ = score 82, held 5 of 7 tests, avg distance from zone mid at touch: 0.4 ATR.
── 6 DETECTION ENGINES ──
📐 Swing Pivots — Classical swing highs/lows on current, Daily, and Weekly timeframes
🧱 Order Blocks — Last candle before a strong impulsive move, confirmed by volume
📊 Volume POC — Highest-volume price cluster over lookback period
💨 Fair Value Gaps — 3-candle imbalances where price left unfilled ranges
💧 Liquidity Pools — Equal high/low clusters where stops accumulate
⚓ Anchored VWAP — Auto-anchors on gap+volume events (earnings, catalysts)
All 6 sources feed into the same unified zone object, allowing true confluence scoring across methodologies.
── REGIME-AWARE SCORING ──
The market regime (STRONG_BULL / WEAK_BULL / RANGE / WEAK_BEAR / STRONG_BEAR / SQUEEZE) drives the scoring bias. In a bullish regime, support zones receive a significant score bonus while resistance zones score lower — reflecting the statistical reality that zones aligned with the trend hold more reliably.
Regime is calculated from ADX + Bollinger Band Width + EMA slope, giving 5 states plus a Squeeze override when volatility compresses to the bottom 10% of the last 100 bars.
── VISUAL SYSTEM ──
Zones are rendered with a 4-layer heat-map system:
Atmospheric halo — fades beyond zone boundaries, scales with score
Main fill — neon color: cyan family for support, red/orange for resistance, intensity proportional to score
Hot core strip — brighter inner band at zone midpoint
Entry line — solid bright stripe at the price-contact edge (top for support, bottom for resistance)
Grade-A pulse ring — glowing outline when a high-conviction zone is within 1.5 ATR of price
Score bar — vertical progress bar to the right of each zone, height = score 0-100
Simple View : A separate layer draws just two clear boxes — nearest SUPPORT (green) and nearest RESISTANCE (red) — with text centered inside. Designed for traders who want instant visual clarity without analyzing all zones.
── TRADE PLAN GENERATOR ──
Configure in the 💰 Trade Plan settings group:
Account Size ($) — your total trading capital
Risk per Trade (%) — standard is 1.0% per trade
Min R:R to Show — only displays setups where the calculated reward exceeds this multiple of risk
When a qualifying setup is found, three dashed lines appear on the chart (blue = entry, red = stop, green = target) with a summary label showing direction, prices, share count, and R:R ratio. The Dashboard shows it in the 💰 Active Setup row. An alert fires with the full trade plan.
Important: The Trade Plan Generator identifies setups based on zone proximity and regime alignment. All trade decisions remain entirely the responsibility of the user. Past zone reactions do not guarantee future performance. Always apply your own analysis and risk management.
── DASHBOARD (14 rows) ──
The information panel shows in real-time:
Market Regime with color coding
Asset Class / Session (PRE/RTH/AH for stocks)
Active zones breakdown (0A/1B/3C format)
Nearest Resistance price, grade, ATR distance
Nearest Support price, grade, ATR distance
ATR% Rank (volatility context)
Active Warning (8 types, color-coded by severity)
Anchored VWAP value and anchor reason
Squeeze detector
Zone Hit Rate (historical bounce %)
Active Detection Sources
Scenario suggestion
Adaptive Weights status
Active Trade Plan (Entry / Stop / Target / Shares / R:R)
Every cell has a detailed tooltip explaining what the value means and how to use it.
── MULTI-ASSET SUPPORT ──
The asset engine auto-detects chart type and adjusts accordingly:
Stocks — ATR-based zones, session-aware (PRE/RTH/AH)
Stocks under $1 — percent-based zone widths (ATR is unreliable for extreme low-price securities)
Crypto — 24/7, percent bands, no session breaks
Forex — pip-based zone widths
Indices — volume-agnostic fallback
Futures — rollover-aware
── SETTINGS OVERVIEW ──
🎯 Trading Mode — Scalp / Intraday / Swing (affects zone widths and sensitivity)
🧭 Regime Classifier — ADX, BB, and EMA periods
🎯 Zone Detection — Toggle each of the 6 engines independently
📐 Swing Pivots — Left/right lookback bars and zone width
🧱 Order Blocks — Lookback period, minimum move %, volume threshold
📊 Volume POC — Lookback bars and histogram bins
💨 Fair Value Gaps — Minimum gap size %
💧 Liquidity Pools — Lookback and touch tolerance %
⚓ Anchored VWAP — Auto-anchor thresholds and manual catalyst date
⚖️ Scoring — Individual weight controls for all 7 scoring factors
🌍 Asset-Class Adaptation — Override or force Sub-$5 mode
🚨 Warnings — Toggle each of 8 warning types with ATR distance control
🎨 Visual Settings — Top-N zones, adaptive hide, transparency, Simple View toggle
📊 Dashboard — Position, size, show/hide
💰 Trade Plan — Account size, risk %, minimum R:R
🔔 Alerts — Standard or structured JSON for webhook automation
── ALERTS ──
8 alert types:
Any Warning (catch-all)
Sweep Imminent
Regime Shift near Grade-A zone
Trap Suspected (low-volume false breakout)
Zone Approach
Squeeze Detected
Trade Plan — LONG Setup
Trade Plan — SHORT Setup
Enable Structured JSON Alerts to receive webhook-ready payloads with full zone data, regime, warning type, and trade plan details.
── EXTERNAL LIBRARY ──
This script imports Luxy Energy Index (LEI) by OrenLuxy for the momentum classifier. LEI measures move exhaustion using Extension from VWAP, Velocity (5-bar rate of change), and Volume as a modifier.
── IMPORTANT NOTES ──
This indicator is for educational and analytical purposes only . It does not constitute financial advice.
Past zone performance (hit rate, average bounce) does not guarantee future results.
The Trade Plan Generator calculates position sizes mathematically based on user inputs — always verify sizing with your broker before placing orders.
Adaptive weights require 20+ observed bounce/break events to activate. On new charts, base weights are used.
The LEI library requires separate import — the indicator will prompt if not accessible.
── CREDITS ──
Luxy Energy Index (LEI) — OrenLuxy. Exhaustion methodology drawing on academic research by Campbell-Grossman-Wang (1993) on volume-return relationships, ATR normalization by J. Welles Wilder Jr., and standard VWAP methodology.
S/R concepts inspired by VSA (Volume Spread Analysis), SMC (Smart Money Concepts), and classical pivot point theory.
Past performance does not predict future results. This tool is for informational purposes only and does not constitute investment advice. Trading involves substantial risk of loss.
Indicator
Strategy
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AI UltraTrend X Pro V1The AI UltraTrend X Pro V1 is a high-performance, signal-based indicator engineered to identify explosive trend reversals while aggressively filtering out sideways market noise. Built specifically to handle high-volatility environments like BankNifty, this tool excels at capturing large point moves by combining institutional flow tracking with advanced price-action breakouts.
Key Features
Multi-Segment Mastery: While optimized for the fast-paced nature of BankNifty, the logic is universally applicable across Equity, Forex, Commodities, and Crypto.
Optimized for 3m+ Timeframes: Designed for the 3-minute duration and above, providing a perfect balance between early entries and noise reduction.
Hybrid Execution Logic: Unlike standard indicators that rely solely on crossovers, this script uses a dual-trigger system—line crosses and volatility-backed breakouts—ensuring you never miss a gap-up or a sudden trend explosion.
Intraday & Swing Flexibility: Seamlessly transitions between aggressive Intraday scalping and Positional trend following. The indicator maintains its state, allowing users to carry trades or square off at the end of the session based on their own risk profile.
Advanced Anti-Chop Shield: Features a built-in Volume & Volatility filter that identifies "dead zones" (gray signal areas) to prevent the "multiple entries/exits" common in flat markets.
Dynamic Trailing Stop-Loss: Plots a real-time, ATR-based trailing exit (Yellow Line) that locks in profits while giving the trend enough "breathing room" to survive minor pullbacks.
How to Use
Enter CE: Triggered when the signal turns Green and price breaks recent resistance.
Enter PE: Triggered when the signal turns Red and price breaks recent support.
Stay with the Trend: The background remains color-coded (Green/Red) as long as the trend is healthy.
Exit: Close your position when the signal label flips.
Best Settings
Timeframe: 3m, 5m, or 15m.
Chart: Works best on standard Candlesticks or Heikin Ashi for smoother trend following. Indicator
Strategy
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Strategy
Reclaim Breakout Planner [AGPro Series]Reclaim Breakout Planner
🧠 Core Idea
Is a recently broken structural level being lost and reclaimed in a way that creates a valid breakout planning area?
📌 Overview / What it does
Reclaim Breakout Planner is a chart-first breakout planning tool built around structural pivot reclaim behavior. It detects when price breaks beyond a confirmed pivot level, temporarily moves back through that broken level, and then closes back on the breakout side with measurable acceptance quality.
The script produces a 0-100 Acceptance Score, an active Reclaim State, an Acceptance Pocket, a Risk Edge, a Target Corridor, controlled chart labels, and a compact AG Pro panel. The goal is to help traders organize reclaim context after a structural breakout attempt.
This script does not predict price direction, automate trades, or mark every pivot as important. It filters for a specific sequence: structural level break -> temporary level loss -> reclaim close -> planning state.
🎯 Purpose & Design Philosophy
Many breakout tools stop after price crosses a level. Many retest tools treat any return to the level as meaningful. This script was built for the narrower question that often matters after a breakout: did price briefly lose the broken level and then reclaim it with enough quality to deserve attention?
It is designed for traders who want a cleaner decision-support layer around breakout acceptance, not another crowded support/resistance map. The mindset is planning first: evaluate validity, score quality, locate risk, estimate target room, and decide whether the context deserves monitoring.
⚡ Why This Script Is Different
Most tools focus on the breakout candle or the retest touch.
This script does NOT clone VWAP Reclaim Quality, Previous Day Sweep & Reclaim, EMA reclaim maps, session VWAP reaction tools, or a simple breakout retest readiness model.
Instead, it focuses on structural pivot reclaim after a level is briefly lost. The reclaim must come from a confirmed pivot break, a temporary move back through the broken level, and a close back on the breakout side. That creates a distinct reclaim-planning workflow rather than a generic level scanner.
⚙️ Methodology
1. Context Detection
The script identifies confirmed pivot highs and pivot lows as structural levels. These levels are not VWAP, previous-day highs/lows, session anchors, order blocks, or fixed support/resistance zones.
2. Breakout Arming
When price closes beyond a pivot level by an ATR-normalized amount, the planner arms a reclaim watch. A bullish watch begins after a close above resistance. A bearish watch begins after a close below support.
3. Reclaim Evaluation
The script waits for price to temporarily lose the broken level and then close back through it. It scores the event using reclaim close distance, retest depth, volume support, trend alignment, and wick rejection.
4. Visual Output
Accepted reclaims create an Acceptance Pocket, Risk Edge, Target Corridor, event labels, sparse context labels, and panel state. The visuals are designed to stay readable without leaving the chart empty.
🗺️ How to Read the Chart
Acceptance Pocket = the reclaimed structural level area where the breakout side is being tested.
Risk Edge = the failed-side reference beyond the pocket. It is a planning boundary, not a trading instruction.
Target Corridor = a projected review area based on the reclaim risk distance and the selected R multiple.
Labels = compact event and context markers such as Bull Reclaim, Bear Reclaim, Retest Watch, and Failed Reclaim. Target Review labels are optional because the target corridor already marks the review area.
Colors = bullish reclaim context uses teal, bearish reclaim context uses pink, caution/watch states use gold or indigo, and risk/failure context uses red.
Panel = shows Reclaim State, Acceptance Score, Risk Edge, Target Room, and Action.
🚦 Signals & States
• Scan Structure → no active reclaim plan exists yet.
• Bull Retest Watch → price broke above a structural pivot and is waiting for a valid reclaim sequence.
• Bear Retest Watch → price broke below a structural pivot and is waiting for a valid reclaim sequence.
• Acceptance Watch → reclaim exists, but the score is not strong enough for the highest planning state.
• Plan Review → reclaim quality is strong enough to monitor as structured planning context.
• Risk Edge Test → price is testing the failed-side boundary.
• Failed Reclaim → the active reclaim plan closed beyond the risk edge.
• Target Review → price reached the projected target corridor area.
🔔 Alerts Logic
Bullish Reclaim Breakout Plan triggers when a bullish structural reclaim is accepted and the score is above the alert threshold.
Bearish Reclaim Breakout Plan triggers when a bearish structural reclaim is accepted and the score is above the alert threshold.
Reclaim Risk Edge Failed triggers when an active reclaim plan closes beyond the risk edge.
Reclaim Target Corridor Reached triggers when price reaches the projected target corridor.
Alerts are attention markers. They are not trade instructions.
🧩 Confluence Logic
The context becomes stronger when a confirmed pivot breakout, temporary level loss, reclaim close, supportive volume, trend alignment, and wick rejection appear together. The score compresses those components into one readable 0-100 Acceptance Score.
📊 When to Use
• After structural breakouts where price returns to the broken level
• During trending or transitioning markets where reclaim behavior matters
• When evaluating whether a breakout level is being accepted after a brief failure
• When a trader needs risk edge and target-room context around a reclaim sequence
⚠️ When NOT to Use
• Very low-liquidity symbols with unreliable volume and erratic candles
• Extremely noisy ranges where pivots form too frequently
• News-driven candles where ATR-normalized structure can be distorted
• Markets where price is far from any meaningful structural pivot
🎛️ Key Inputs
• Reclaim Side → selects Auto, Bullish Only, or Bearish Only.
• Pivot Strength → controls how selective structural levels are.
• Minimum Break Close ATR → defines how far beyond the pivot price must close before a reclaim watch is armed.
• Minimum Level Loss ATR → requires price to temporarily move back through the broken level before reclaim evaluation.
• Acceptance Pocket ATR → controls the visual and logical reclaim pocket size.
• Retest Window Bars → controls how long the reclaim watch remains valid.
• Risk Edge Buffer ATR → adjusts the failed-side planning boundary.
• Target Corridor R Multiple → controls the projected target review area.
• Label and Panel Settings → control chart label density, optional target review labels, font size, panel location, and panel theme.
🖥️ Interface & Visual Design
The interface is intentionally compact. The chart carries the main decision layer through acceptance pockets, risk edges, target corridors, and event labels. The panel acts as a quick readout for state, score, risk, target room, and next action.
The first panel row follows the AGPro style with a merged blue title row. Label density is controlled by cooldown and maximum visible label settings so the chart remains premium and readable.
🧪 Practical Usage Workflow
1. Read the panel state.
2. Check whether the planner is scanning, watching a retest, or showing an accepted reclaim.
3. Inspect the Acceptance Pocket and Risk Edge.
4. Compare the Acceptance Score with the active state.
5. Use the Target Corridor as a review area, not as a guaranteed objective.
🔍 Interpretation Guidelines
A high score means the reclaim sequence is cleaner under the script's rules. It does not mean the market must continue.
A weak score means the reclaim lacks enough acceptance quality, volume support, trend alignment, or wick rejection.
A failed reclaim means the planning structure has weakened and should be re-evaluated in broader market context.
🚫 What This Script Is NOT
• Not a prediction engine
• Not financial advice
• Not auto trading
• Not guaranteed signals
• Not a VWAP reclaim tool
• Not a previous-day sweep reclaim script
• Not a generic support/resistance map
• Not an order block or FVG scanner
⚠️ Limitations & Transparency
Timeframe selection affects pivot behavior. Lower timeframes may create more reclaim sequences, while higher timeframes may produce fewer but more important structural levels.
Volatility can widen pockets and risk edges. During extreme volatility, reclaim signals can appear later or fail faster.
Volume quality may be less reliable on markets where reported volume is synthetic, incomplete, or inconsistent.
🧠 Market Context Notes
Reclaim behavior often matters when a market tests whether a broken level is becoming accepted. A clean reclaim can show that a breakout area is still being defended. A failed reclaim can show that the attempted breakout lost structure.
The script treats that behavior as planning context, not certainty.
🧾 Use Case Examples
When price closes above a pivot high, dips back below the broken level, then closes back above it with rejection wick and supportive volume, the planner may create a bullish reclaim plan.
When price closes below a pivot low, trades back above the broken level, then closes back below it with rejection behavior, the planner may create a bearish reclaim plan.
🧱 System Philosophy
AGPro tools are designed to help traders organize context, not chase isolated signals. This script follows that principle by turning reclaim behavior into a structured planning workflow with score, state, risk edge, target room, and action text.
🔐 Non-Promise Statement
No script can guarantee continuation, reversal, or future price behavior. Reclaim structure can fail, especially in fast, illiquid, or news-driven markets.
📉 Risk Disclosure
Trading involves risk. This script is for educational and analytical use only. It does not provide financial advice, investment advice, or guaranteed trading outcomes. Users remain responsible for their own decisions.
📚 Educational Note
Use the script to study how reclaimed structural levels behave across symbols, timeframes, and volatility environments. The best use is disciplined observation, comparison, and context building.
Indicator
Opening Drive Quality [AGPro Series]Opening Drive Quality
🧠 Core Idea
Is the first directional drive of the session strong enough to plan around, or is it already losing execution quality?
📌 Overview / What it does
Opening Drive Quality is a session execution planner that evaluates the first directional drive after the market opens. It studies the opening drive channel, early follow-through, pullback acceptance, risk-line integrity, and target-room structure in one clean decision framework.
The script produces a 0-100 quality score, a clear next-action state, an opening drive channel, a pullback acceptance zone, an invalidation risk line, target guide, compact chart labels, alerts, and a premium AGPro panel.
It does not predict price direction, automate trades, or mark every opening range breakout. Its purpose is to help traders evaluate whether the early session drive has enough structure, acceptance, and risk clarity to deserve attention.
🎯 Purpose & Design Philosophy
The script was built for traders who need more than an opening range box or a simple breakout marker. The first session move often sets the tone, but the useful question is not only whether price moved. The useful question is whether that move produced clean follow-through, controllable risk, and a meaningful pullback area.
Opening Drive Quality fills that gap by turning the opening move into a structured planning map. It supports traders who study session execution, intraday momentum, and pullback planning without relying on generic signals.
The design philosophy is simple: evaluate the quality of the first drive, define the risk line, project the pullback acceptance zone, and make the next state readable at a glance.
⚡ Why This Script Is Different
Most tools focus on opening range breakouts, session boxes, fixed kill zones, or failed-break signals.
This script does NOT try to clone a generic ORB tool, a kill-zone session engine, or an opening range failure map.
Instead, it focuses on the quality of the first directional drive itself. It asks whether the drive has real thrust, whether follow-through appears after the drive locks, whether price accepts a pullback zone, where the risk line sits, and what the next planning state should be.
⚙️ Methodology
1. Context Detection
The script builds the opening drive from either a fixed session window or the first bars of a new day. This keeps the tool useful across regular-market assets and 24/7 markets.
2. Reference Mapping
After the drive locks, the script maps the opening drive channel, pullback acceptance zone, invalidation risk line, and target-room guide. These references come from the opening drive structure, not from generic support and resistance pivots.
3. Reaction Evaluation
The engine scores drive thrust, close location, range expansion, optional relative volume, follow-through distance, pullback behavior, and risk-line integrity.
4. Visual Output
The chart shows the active drive channel, projected pullback zone, risk line, target guide, state labels, and a compact panel with the key planning reads.
🗺️ How to Read the Chart
Opening Drive Channel = the locked first directional drive of the session.
Pullback Acceptance Zone = the area where a controlled pullback can be evaluated after a valid drive.
Risk Line = the invalidation line derived from the drive base, pullback zone, and ATR buffer.
Target Guide = a projected target-room reference based on the opening drive range.
Labels = compact markers for drive lock, follow-through, pullback acceptance, weak drive, risk break, and target check.
Colors = teal for bullish drive context, pink for bearish drive context, amber for review states, and indigo for structural emphasis.
Panel = the decision layer showing Drive Side, Follow-Through, Pullback Quality, Risk Line, and Action.
🚦 Signals & States
• DRIVE Q → the opening drive has locked and received a 0-100 quality score.
• FOLLOW Q → the drive has produced directional follow-through after locking.
• PULLBACK ACCEPTED → price is reacting constructively inside the projected pullback acceptance zone.
• WEAK DRIVE → follow-through has not developed inside the review window.
• RISK BROKEN → the active drive has violated its invalidation line.
• TARGET CHECK → price has reached the projected target-room guide.
🔔 Alerts Logic
The script includes alerts for:
• Opening Drive Quality Locked → a qualified opening drive has completed.
• Drive Follow-Through → directional extension appears after the drive locks.
• Pullback Accepted → price reacts inside the projected pullback acceptance zone.
• Risk Line Broken → price violates the active drive risk line.
• Target Guide Reached → price reaches the projected target-room guide.
Alerts are attention markers. They are not trade instructions.
🧩 Confluence Logic
The context becomes stronger when opening drive thrust, close location, session volatility, relative volume, follow-through, and pullback acceptance align.
The context becomes weaker when the opening drive locks with poor thrust, cannot extend, pulls back too deeply, or breaks the risk line.
📊 When to Use
• Intraday session planning.
• Opening-drive analysis after the first market push.
• Markets where the opening session often defines early direction.
• Pullback planning after a strong first drive.
• Session review where risk line and target-room context matter.
⚠️ When NOT to Use
• Very low-liquidity markets.
• Extremely noisy opens with unstable spreads.
• News-driven bars where the first drive is unusually distorted.
• Assets where the selected opening session is not meaningful.
• Higher timeframes where the opening drive window has no practical session context.
🎛️ Key Inputs
• Opening Drive Mode → chooses first bars of day or a fixed session window. First Bars Of Day is the default so the chart loads with visible drive structure across more symbols.
• Opening Drive Session → defines the drive-building window.
• Tracking Session → defines when follow-through and pullback logic remains active.
• Minimum Quality Threshold → controls when stronger planning labels appear.
• Follow-Through ATR → defines the extension needed for follow-through confirmation.
• Pullback Acceptance Depth → controls the projected pullback zone depth.
• Risk Line Buffer ATR → adjusts the invalidation line beyond the drive structure.
• Target Guide Multiple → controls the projected target-room guide.
• Panel / Label Settings → control panel location, theme, font size, label size, visible label count, minimum label quality, label cooldown, and optional compact plot markers.
🖥️ Interface & Visual Design
The interface is built around a clean AGPro panel and chart-first planning visuals. The panel uses a single merged blue header row with only the script name, then five practical rows: Drive Side, Follow-Through, Pullback Quality, Risk Line, and Action.
The chart uses one opening drive channel, one pullback acceptance zone, one risk line, one target guide, and compact labels. The goal is a premium session-planning view without clutter.
🧪 Practical Usage Workflow
1. Read the panel after the opening drive locks.
2. Check whether the drive side and score show a valid planning context.
3. Watch follow-through quality after the drive locks.
4. Evaluate whether price pulls back into the acceptance zone constructively.
5. Use the risk line and target guide as planning references, not automatic decisions.
🔍 Interpretation Guidelines
A strong score means the opening drive has better structure, cleaner close location, stronger volatility context, and better follow-through support.
A pullback acceptance label means price is reacting inside the projected drive-based zone. It does not mean price must continue.
A risk-line break means the original drive plan has lost structural integrity and should be reassessed.
The most useful interpretation comes from combining the panel state with broader market context, liquidity, and timeframe alignment.
🚫 What This Script Is NOT
• Not a prediction engine.
• Not financial advice.
• Not an auto-trading system.
• Not guaranteed signals.
• Not a generic support and resistance mapper.
• Not a clone of an ORB breakout tool.
• Not a kill-zone timing dashboard.
• Not an opening range failure scanner.
⚠️ Limitations & Transparency
Timeframe selection affects the opening drive shape. A 5-minute chart and a 15-minute chart can produce different drive channels.
Volatility changes can expand or compress the pullback zone and risk line.
Session definitions matter. The selected opening window should match the asset being studied.
High-impact news, abnormal spreads, and low liquidity can reduce the reliability of the opening drive map.
🧠 Market Context Notes
Opening drives are most useful when liquidity is active and the first session push creates a clear directional reference. A clean drive does not guarantee continuation, but it can create a structured area for evaluating pullback acceptance and invalidation.
The script intentionally keeps its references tied to the opening drive. It avoids pivot maps, order block language, broad S/R zones, and generic failed-break logic.
🧾 Use Case Examples
When price locks a strong bullish opening drive, extends beyond the channel, and then pulls back into the acceptance zone without breaking the risk line, the panel may shift toward a constructive planning state.
When price locks a drive but cannot create follow-through inside the review window, the script can mark the drive as weak and shift the action state toward bias reduction.
When price violates the risk line, the original opening drive plan is no longer structurally intact inside this model.
🧱 System Philosophy
Opening Drive Quality follows the AGPro decision-engine philosophy: a script should help the trader evaluate validity, strength, risk, target room, and next state instead of only printing another signal.
The tool is designed to make the opening session easier to interpret through structured references and clean visual hierarchy.
🔐 Non-Promise Statement
No script can provide certainty.
No opening drive model can guarantee continuation, reversal, or profitability.
This script provides structured context only.
📉 Risk Disclosure
Trading involves risk.
Users are responsible for their own decisions.
This script does not provide financial advice, investment advice, or guaranteed trading outcomes.
📚 Educational Note
Use this script as an educational planning and visualization tool. The strongest use comes from reading the opening drive together with broader market structure, liquidity, volatility, and personal risk rules.
Indicator
Expansion Target Planner [AGPro Series]Expansion Target Planner
🧠 Core Idea
After expansion is confirmed, where is the reasonable target band, how clean is the path, and what should be reviewed next?
📌 Overview / What it does
Expansion Target Planner is a chart-first risk-target planning tool designed to evaluate the target area after a confirmed range expansion.
Instead of drawing a generic target line or copying a measured-move pattern, the script studies the prior range edge, current ATR, continuation pressure, recent structure obstacles, volatility state, and an invalidation shelf behind the move. It then converts that context into a 0-100 Target Quality score and a clear next-action state.
The output is a practical planning workflow: an expansion target band, invalidation shelf, target midpoint guide, path obstruction marker, compact chart labels, alert conditions, and a clean AGPro decision panel. It does not predict the future, automate decisions, or guarantee that any target band will be reached.
🎯 Purpose & Design Philosophy
This script was built for traders who need a cleaner way to evaluate expansion targets after price has already shown confirmation.
Many tools focus on finding a breakout, drawing an equal measured move, or plotting fixed take-profit levels. This tool fills a different gap: it asks whether the next target area is reasonable, whether the path is blocked, and whether the invalidation reference still supports the plan.
The design supports a disciplined target-review mindset. It helps users separate a clean expansion path from a stretched, obstructed, expired, or invalidated plan.
⚡ Why This Script Is Different
Most tools focus on measured moves, ABCD projections, fixed target ladders, or generic breakout confirmation.
This script does NOT become a measured-move projection tool, ABCD pattern detector, take-profit ladder, auto trading system, or generic support/resistance map.
Instead, it builds one active expansion target plan after confirmation and evaluates the quality of that plan. The core output is not a trade command. It is a planning state that helps users review whether the target band, invalidation shelf, volatility, and structure path still make sense.
⚙️ Methodology
1. Context Detection
The script identifies whether price has confirmed expansion beyond a prior range edge. Users can keep the side on Auto or force Long Expansion / Short Expansion.
2. Reference Mapping
Once confirmation appears, the script locks an active target plan. It maps the expansion anchor, ATR-adjusted target distance, target band, invalidation shelf, and recent pivot-based path obstacle.
3. Reaction Evaluation
The script scores the plan using expansion strength, ATR projection fit, nearby structure, continuation pressure, volume support, trend support, and volatility state.
4. Visual Output
The chart displays the active target band, invalidation shelf, guide lines, obstruction marker, event labels, alerts, and AGPro panel state.
🗺️ How to Read the Chart
Zones = the forward target band and the invalidation shelf behind the expansion.
Labels = the current target planning state, such as TARGET READY, WATCH, OBSTRUCTED, TARGET HIT, or INVALID REVIEW.
Colors = green/teal supports cleaner bullish expansion quality, pink marks bearish or risk states, yellow marks caution or obstruction, and indigo is used as a neutral planning accent.
Panel = the compact decision view showing Expansion Side, Target Band, Invalidation, Target Quality, and Action.
🚦 Signals & States
• TARGET READY → the target band has acceptable quality and the path is clean enough for review.
• WATCH → target context is improving, but not enough conditions are aligned yet.
• OBSTRUCTED → a recent structure obstacle sits between current price and the target band.
• TARGET HIT → price has interacted with the active target band.
• INVALID REVIEW → price has crossed the invalidation shelf and the plan should be reviewed.
• EXPIRED → the active plan has spent too many bars without completing.
🔔 Alerts Logic
Alerts trigger when the active target state changes into an important review condition.
• Target Ready alert → target quality moves into a stronger review state.
• Target Watch alert → target context improves but remains incomplete.
• Path Obstructed alert → a structure obstacle blocks the target path.
• Target Band Touched alert → price reaches the active target band.
• Invalidation Review alert → price crosses the invalidation shelf.
Alerts are attention markers, not trade instructions.
🧩 Confluence Logic
The Target Quality score improves when expansion confirmation, ATR projection fit, continuation pressure, volume support, volatility state, and open structure path align.
When the target distance is reasonable, the close is efficient, volume supports the move, and no nearby obstacle blocks the path, the context becomes stronger.
📊 When to Use
• After confirmed range expansion
• During breakout continuation review
• When evaluating whether a target area is too close, too far, or structurally blocked
• When a trader wants target context without a fixed take-profit ladder
• During volatility expansion phases where target planning matters more than another signal
⚠️ When NOT to Use
• Very low-liquidity markets
• Extremely noisy sideways chop
• News-driven spikes where ATR and structure become unstable
• Markets with unreliable volume if volume support is central to your process
• Any situation where the user expects automatic trade instructions
🎛️ Key Inputs
• Expansion Side → Auto, Long Expansion, or Short Expansion planning.
• Prior Range Lookback → defines the range edge used for confirmation.
• Confirmation Break ATR → controls how far beyond the range edge price must close.
• Range Projection Multiple → adjusts how much prior range width contributes to the target distance.
• ATR Projection Multiple → adjusts how much current volatility contributes to the target distance.
• Target Band Width ATR → controls the visual width of the target band.
• Invalidation Shelf Lookback → defines the reference shelf behind the expansion.
• TARGET READY / WATCH thresholds → control how selective the state engine is.
• Visual settings → control target band, shelf, guide lines, obstruction marker, labels, panel location, theme, and font sizes.
🖥️ Interface & Visual Design
The interface is built around one active target plan.
The target band is displayed forward on the chart with centered text. The invalidation shelf is shown behind the move so the risk reference is visible without turning the script into a generic support/resistance tool.
The panel follows the AGPro public-release standard with one merged blue header row containing only the script name. The layout is compact and designed for quick reading during live chart review.
🧪 Practical Usage Workflow
1. Read the panel to identify the active Expansion Side and Target Quality.
2. Check whether the target band is clean or obstructed.
3. Review the invalidation shelf behind the expansion.
4. Use labels and alerts as attention markers.
5. Confirm the broader market context with your own process.
🔍 Interpretation Guidelines
Treat the target band as a planning area, not a guaranteed destination.
A higher Target Quality score means the target plan is cleaner according to the script rules. It does not mean the move must continue.
An OBSTRUCTED state does not mean price cannot move through the obstacle. It means the path contains structure that deserves review.
An INVALID REVIEW state means the active shelf has been crossed and the plan context has changed.
🚫 What This Script Is NOT
• Not a prediction engine
• Not financial advice
• Not auto trading
• Not guaranteed signals
• Not a measured-move projection system
• Not an ABCD pattern scanner
• Not a take-profit ladder
⚠️ Limitations & Transparency
• Timeframe differences can change expansion quality and target distance.
• Volatility shifts can make a previously clean target band less useful.
• Recent structure may not capture every important higher-timeframe obstacle.
• Volume-based scoring can be less useful on symbols with unreliable volume.
• No rule-based tool can fully account for news, liquidity shocks, or sudden regime changes.
🧠 Market Context Notes
Expansion targets are more useful when the market has already shown range release and the target path is not immediately blocked by nearby structure.
Liquidity, volatility, and structure should be read together. A target band can look reasonable by distance but still become lower quality if the path is obstructed or volatility becomes overheated.
🧾 Use Case Examples
When price closes beyond a prior range edge with strong close location and the target path is open, the script may show TARGET READY.
When price expands but a recent pivot sits directly between current price and the target band, the script may show OBSTRUCTED.
When price crosses the invalidation shelf behind the plan, the script may show INVALID REVIEW.
🧱 System Philosophy
AGPro Series tools are designed to support structured decision review, not emotional signal chasing.
This script follows that philosophy by focusing on target quality, invalidation context, and next-action state rather than a simple directional signal.
🔐 Non-Promise Statement
No target band is certain.
No score guarantees continuation.
No alert should be treated as a trade instruction.
📉 Risk Disclosure
Trading involves risk.
Users are responsible for their own decisions, position sizing, risk controls, and market interpretation.
This script is for educational and analytical use only and does not provide financial advice.
📚 Educational Note
Use this tool to study how target quality changes after expansion confirmation.
The strongest value comes from comparing the target band, obstruction marker, invalidation shelf, and broader market context together.
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Apex Reversal Engine💥Apex Reversal Engine: S&R and Momentum Exhaustion💥
⚙️Apex Reversal Engine is an advanced analytical script built specifically for Forex swing traders and position traders operating on higher timeframes (1H to 1D). Its primary objective is to identify high-probability market reversal zones by finding the exact point where structural price levels intersect with extreme momentum exhaustion.
⚙️ The Core Concept & Algorithmic Logic
Many traders struggle with false breakouts or entering reversal trades too early because they rely solely on isolated technical concepts. Trading pure Support/Resistance often leads to getting stopped out by fakeouts, while trading pure RSI often leads to catching "falling knives" in strong trends.
⚙️This script is built on a deliberate mashup of two distinct technical concepts to filter out these low-probability setups:
🚀Automated Support & Resistance (Structural Analysis): The algorithm dynamically maps the chart to identify key historical liquidity zones. It calculates significant pivot highs and pivot lows over a specific lookback period to draw objective Support and Resistance (S&R) lines. These lines represent areas where the market has previously shown strong rejection, indicating institutional interest or historical supply/demand imbalances.
🚀RSI Momentum Validation (Velocity Analysis): To validate these structural levels, the script integrates a calibrated Relative Strength Index (RSI). The RSI measures the velocity and magnitude of recent price changes to evaluate overvalued or undervalued conditions.
⚙️The Mashup Justification:
🚀The true originality of the Apex Reversal Engine lies in its stringent confluence engine. The script will not generate a buy signal just because the price hits a support line, nor will it fire a signal just because the RSI is oversold. An entry signal is printed only when the price tests a recognized Support/Resistance line simultaneously with an extreme RSI reading. This specific algorithmic gating ensures that we only look for reversals when structural barriers are met with mathematical momentum exhaustion.
⚙️ How to Use the Indicator
For optimal performance, this script is calibrated for the Forex market and should be applied to higher timeframes, specifically ranging from 1-Hour (1H) to 1-Day (1D) charts. Using it on lower timeframes may introduce unwanted market noise.
⚙️The script is designed with a clean UI, avoiding unnecessary chart clutter, and outputs clear, actionable labels:
📈Long Entry (Bullish Setup): Wait for a bullish signal label to appear. This signifies that the price is currently testing a major Support Line AND the internal RSI module has registered an extreme oversold condition, suggesting downside exhaustion and a potential upward reversal.
📉Short Entry (Bearish Setup): Wait for a bearish signal label. This confirms that the price is testing a major Resistance Line AND the RSI is heavily overbought, indicating upside exhaustion and a high probability of a downward reversal.
⚠️Risk Management:
These automated S&R lines double as excellent risk management tools. Stop Loss (SL) orders can be placed logically just outside the tested Support or Resistance zone to invalidate the setup if the level breaks. Take Profit (TP) targets can be scaled out at the next opposing S&R level.
🔒 Note on Script Originality
(Include this section if you are publishing as Closed-Source / Invite-Only)
The source code is protected because the specific lookback algorithms used for dynamic S&R generation, the specific calibration of the momentum oscillator for 1H-1D Forex charts, and the precise logical confluence rules are proprietary. The underlying logic described above empowers users to fully understand the mechanics of the trade setups without exposing the raw, backtested parameters that make the script unique.
⚠️Disclaimer: This script is for educational and analytical purposes only. Trading Forex on any timeframe carries a high level of risk and may not be suitable for all investors. Past performance is not indicative of future results. Always use proper risk management and never risk more than you can afford to lose. Indicator
