MACD-V (Volatility Normalized MACD)Award-Winning Momentum Indicator by Alex Spiroglou (CMT Charles Dao Award & NAAIM Founders Award, 2022)
The classic MACD has powered trading decisions for decades, but it suffers from five major limitations that undermine consistency:
1- Readings are not comparable over time (absolute price dependency causes massive scale differences across decades)
2- Not comparable across markets or assets (e.g., stocks vs. forex vs. crypto)
3- No universal overbought/oversold levels
4- Excessive whipsaws in low-momentum/range-bound conditions
5- Lagging signals in high-momentum reversals (e.g., missing big chunks of V-shaped recoveries)
MACD-V solves all five issues by normalizing momentum against volatility instead of price.
Core Formula
MACD-V = (EMA(12) - EMA(26)) / ATR(26) × 100
This expresses momentum in units of Average True Range (ATR), creating a volatility-adjusted oscillator that remains mathematically meaningful and comparable:
-Analysts can use MACD-V across any timeframe:
-Across any asset class (stocks, forex, commodities, bonds, crypto)
-Over decades of history
Key Features & Benefits
Time-stable & cross-market comparable: A +100 reading today has the same meaning as +100 in the past years, regardless of asset or price level.
Universal extremes: ±150 captures ~95% of all readings across markets → extreme/stretched momentum.
Momentum Lifecycle Roadmap (objective framework):
+150 or < -150: Extreme / overstretched (high reversal risk)
+50 to +150 or -50 to -150: Strong directional momentum (rallying, retracing, rebounding, reversing)
-50 to +50: Neutral / low momentum / ranging (avoid most signals — high whipsaw zone)
Range Rules for regime context: In bullish regimes (price > 200 EMA), -50 to -150 becomes the practical oversold zone; readings below -100 are rare and often powerful buy setups. Opposite in bearish regimes.
Improved signal quality: Filter whipsaws in neutral zone, anticipate lag in extremes, prioritize high-probability crosses in strong-momentum bands.
MACD-V Histogram (MACD-VH): Normalized short-term momentum with extremes at ±40 for fast reversal detection.
Backtesting & strategy-friendly: Enables reliable historical analysis, cross-asset relative strength, and systematic rules
MACD-V transforms momentum from subjective art into objective, repeatable science — giving you consistent, actionable insights no matter what you're trading.
Use it standalone or layer with trend filters (e.g., 200 EMA), volume, or price action for even stronger edges.
Developer: Alex Spiroglou
Open-source versions inspired by his work — feel free to fork and improve!
Happy trading! 🚀
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Bitcoin Halving Cycles [DotGain]Halving Cycles
A lightweight, time-anchored Bitcoin halving cycle visualizer built for clean charting, repeatable process planning, and simple profit/DCA timing references.
This Code was heavily inspired by KevinSvenson_ who created Bitcoin Halving Cycle Profit .
What this indicator does
This script plots the key “cycle landmarks” relative to each halving date:
Halving (⛏) – the cycle anchor
Profit START – marks the beginning of the post-halving profit window (default: 40 weeks )
Profit END / Last Call – marks the final phase of the profit window (default: 77 weeks )
DCA START – marks the point where long-term accumulation becomes the focus again (default: 135 weeks )
How to read it
Vertical lines = the exact cycle milestones
Bottom labels = description of each milestone aligned to its line (keeps the chart clean)
Green background (optional) = active Profit Zone on existing bars
Red background (optional) = optional warning zone after Profit END
HUD Panel (top-right)
The HUD gives you a fast “where are we in the cycle?” view with two modes:
Current Cycle
Shows: Halving date, Weeks since, and time remaining to Profit START / Last Call / DCA START within the current cycle.
Next Halving (Projection)
Shows: Countdown to the next enabled future halving, plus the projected weeks from today to Profit START / Last Call / DCA START after that future halving.
Future Halvings (manual)
You can manually add up to 3 future halving dates (Halving #1–#3).
This is useful for forward planning and cycle projection even before the event happens.
Enable Halving #1 / #2 / #3
Set Year / Month / Day for each
Optional: show/hide future markers & projections
Note: background zones only shade existing bars . Future projections are shown via lines/labels.
Settings overview
Show all cycles – plots every enabled cycle (historical + optional future). If disabled, only the current cycle is drawn.
Show Profit Zone background – green shading during the active profit window (current cycle only).
Show vertical markers + labels – toggles all milestone lines + labels.
Show HUD – toggles the HUD panel.
HUD Mode – switch between Current Cycle and Next Halving (Projection).
Cycle Logic – edit offsets in weeks (Profit START / Profit END / DCA START).
Optional Warning Zone – show a post-profit warning shading for a chosen number of weeks.
Have fun :)
Disclaimer
This Halving Cycles indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice.
This indicator is an independent implementation of a time-based Bitcoin halving cycle visualization tool and is not affiliated with, or endorsed by, any third-party trading systems, strategies, protocols, or trademarked methodologies. The cycle zones, milestone markers, and countdown values displayed by this indicator are generated by a predefined set of algorithmic rules based on historical halving dates and user-defined time offsets. They do not constitute a direct recommendation to buy, sell, or hold any financial instrument or digital asset.
All trading and investing in financial markets involves a substantial risk of loss. You may lose part or all of your invested capital. Past performance does not guarantee future results. This indicator highlights historical and projected time-based market cycles and may produce false, lagging, incomplete, or misleading signals. Market behavior is influenced by many external factors and can deviate significantly from historical patterns or expectations.
The creator DotGain assumes no responsibility or liability for any financial losses, damages, or decisions made based on the use of this indicator or the information it provides. You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR), use proper risk management, validate insights with additional tools or analysis, and consider your personal financial situation and risk tolerance before making any financial decision.
Mean-Reversion Strategy (RSI + ATR) v1
Entry: Wait for RSI(10) to cross 35 (bullish) or 65 (bearish)
Stop-loss: 2.5 times current ATR away from entry
Take-profit: 4 times current ATR away from entry
Risk: 2% of account per trade
Skip trades if price moved >5% recently or volume is below average
Risk/Reward: You risk $1 to make $1.60 (1:1.6 ratio)
That's the complete strategy. Simple, rules-based, volatility-adjusted for crypto.
Apexflow PRO: Anchored Fair Value + Regime Readiness [v6]## Apexflow PRO — Anchored Fair Value Cloud + Regime Readiness (Non-Repaint Signals)
**Apexflow PRO** is an overlay indicator built to answer one core trading question:
**“Is price currently cheap, fair, or expensive — and is the market in a regime where that matters?”**
Instead of throwing random signals at you, Apexflow PRO combines **anchored fair value**, **market regime detection**, **flow participation**, and **optional cross-market confirmation** into a single, easy-to-read system with a **Readiness Score (0–100)** and clean, non-spam alerts.
---
# What you see on the chart
### 1) Anchored Fair Value Cloud (the “tunnel”)
This is the heart of the indicator.
* **Midline = Anchored VWAP fair value**
* Resets by **Day / Week / Month** (you choose).
* **Cloud = 3-layer adaptive tunnel**
* **Core (blue)** = “fair pricing zone”
* **Upper red layers** = increasingly stretched/expensive
* **Lower teal layers** = increasingly stretched/cheap
**Interpretation (beginner-simple):**
* **Inside blue core** → “priced fairly”
* **Below the tunnel** → “cheap / discounted”
* **Above the tunnel** → “expensive / premium”
* **Outer layers** → “extreme stretch” zones (higher snap-back risk)
### 2) Regime label (context filter)
Apexflow labels the market environment as:
* **TRENDING**
* **CHOP/RANGE**
* **VOLATILE**
* **BREAKOUT**
This prevents “using the right tool in the wrong market.”
Example: mean reversion works better in chop; trend continuation works better in trend/breakout regimes.
### 3) Readiness Score (0–100)
This is the **strength of confluence** between the engines.
* Low score = mixed signals / noise
* High score = alignment / higher-quality conditions
### 4) BUY / SELL signals (non-spam)
Signals trigger only when:
* **Readiness crosses above your threshold** (first bar only)
* **Regime filter agrees**
* **Structure agrees** (reclaim midline / lose midline OR location within the tunnel)
* **Cooldown** prevents rapid repeats
---
# What’s behind it (advanced, but readable)
Apexflow PRO uses four engines:
## A) Anchored Fair Value Engine (core)
A true anchored VWAP-style accumulator:
* Aggregates **price × volume** and **volume**
* Resets on your chosen anchor period
* Produces a stable “fair value spine”
### Stable Mode (important)
When **Stable Mode = ON**, Apexflow **does not drift intrabar** on live candles.
The anchored midline and tunnel update on confirmed bar closes to avoid the classic “wiggling anchor” problem.
## B) Regime Engine (Trend/Chop/Breakout/Volatile)
Uses multiple independent measures (not just one):
* **ADX** = trend strength
* **Efficiency Ratio (ER)** = trend efficiency vs chop
* **BB Width %Rank** = compression / squeeze context
* **ATR %Rank** = volatility regime context
This produces both a **regime label** and a **regime confidence score** used in the composite.
## C) Flow Engine (participation + intent proxy)
A blended participation model:
* **Signed candle pressure** (body vs range scaled by volume)
* **Wick rejection bias** (rejection strength)
* **RVOL** (relative volume lift)
This helps distinguish “real moves” from low-quality drifts.
## D) Cross-Market Confirmation (optional)
A light macro filter to reduce false positives:
* **Equities:** VIX (inverse risk)
* **Forex:** DXY (inverse USD pressure)
* **Crypto:** BTC.D (risk tone proxy)
If the cross-market symbol is unavailable, the script **falls back gracefully** and automatically reduces its weight.
---
# How to use (simple rules)
## Trend Following mode (default)
Best when you want to ride directional moves.
**BUY idea:**
* Readiness crosses above threshold
* Regime is **TRENDING** or **BREAKOUT**
* Price is reclaiming the midline OR is occurring from the lower half of tunnel
**SELL idea:**
* Same logic in reverse (lose midline / upper half)
**Practical beginner rule:**
> In Trend mode, treat the midline like “bias.”
> If price is above the midline and score is strong → favor longs.
> If below and score is strong → favor shorts.
## Reversion mode
Best in chop/range markets.
* Signals are biased toward **mean reversion**
* Use tunnel extremes as “stretch zones”
* Targets often gravitate back toward the **midline / inner bands**
---
# Best settings & timeframes (starting points)
These are practical defaults (not magic):
### Crypto
* 15m / 1H / 4H
* Anchor Reset: **Week**
* Threshold: **60–70**
### Equities / Indices
* 5m / 15m / 1H
* Anchor Reset: **Day or Week**
* Threshold: **60–75**
### Forex
* 15m / 1H
* Anchor Reset: **Day**
* Threshold: **60–75**
If signals feel too frequent: raise **Threshold** or increase **Cooldown**.
If signals feel too rare: lower **Threshold** slightly or reduce **Cooldown**.
---
# Alerts
Included:
* **Apexflow PRO Long**
* **Apexflow PRO Short**
These fire only when the indicator triggers a confirmed, threshold-cross event (designed for clean alerting).
---
# Notes & limitations (honest)
* This is not a “predict the future” tool — it’s a **context + fair value + confluence** system.
* Cross-market filters are helpful, but not universal. If you trade niche assets, consider turning cross-market OFF or customizing the reference symbol.
* Always use risk management. A strong score is not a guarantee.
Monte Carlo Simulation BandsMonte Carlo Simulation v2.4.2
Plots a one-bar-ahead price distribution band built from many simulated paths. The green band shows empirical percentiles of simulated final prices—these are distribution bounds, not a confidence interval of the mean.
What It Does
Simulates many one-bar price paths using a directional random walk with volatility scaling (uniform shocks, not Gaussian GBM).
Plots Mean Forecast, Median Forecast, and configurable percentile bounds (default 5th/95th).
Optional rolling HTF-days mean line (yellow) for trend context.
Optional labels and forward projection lines.
Alerts when the confirmed close breaks above or below the percentile band.
Non-Repainting & HTF Behavior (Fail-Closed)
All calculations are gated to confirmed bars only via explicit no_repaint_ok gate (barstate.isconfirmed).
If you select an HTF Resolution, the script uses a strict request.security(..., lookahead_off, gaps_off) pipeline.
If HTF data is unavailable, outputs are na—no silent fallback to chart timeframe.
A separate "HTF Alignment (lagged)" plot shows the prior HTF close (htf_price ) as visual proof of no look-ahead.
Volatility Source & Scaling
If "Use Historical Volatility" is enabled, volatility is estimated from log returns on the selected resolution (HTF if set, otherwise chart).
Annualization adapts to session type:
Equities: 6.5 hours/day, 252 trading days/year
Crypto: 24 hours/day, 365 days/year
Substeps increase path smoothness within the same one-bar horizon—they do not extend the forecast to multiple bars.
Key Inputs
• Prob Up / Prob Down — Must satisfy Prob Up + Prob Down ≤ 1.0. If violated, simulation is skipped and table shows "✗ PROB>1".
• # Simulations / # Substeps — Higher = smoother/more stable, but slower. Default 100×100 is a good balance.
• Lower/Upper Percentile — Define the band width (e.g., 5 and 95 for a 90% distribution band).
• Run On Last Bar Only — Performance mode (recommended). Skips historical computation; updates on each new confirmed bar.
• Resolution (HTF) — Leave blank for chart timeframe, or set to Weekly/Monthly for HTF-aligned simulation.
• Crypto 24/7 Session? — Enable for crypto markets to use correct annualization (365d, 24h).
How to Use (Quickstart)
Start with defaults and keep Run On Last Bar Only = true for speed.
Set Prob Up and Prob Down so their sum ≤ 1.0 (e.g., 0.5 + 0.5 = 1.0 for neutral).
Enable "Use Historical Volatility" and set a Volatility Lookback (e.g., 20 bars) for data-driven vol.
Set Resolution (HTF) if you want the model to run on higher timeframe data (e.g., 1W). Expect updates only when a new HTF interval starts.
Choose percentiles (e.g., 5 and 95) to define your distribution band width.
Enable alerts for "Price Above Upper Percentile" or "Price Below Lower Percentile" to get notified of breakouts.
Limitations & Disclosures
Forecast horizon is one bar only. Substeps do not create a multi-bar forecast.
Model uses uniform shocks with direction chosen from Prob Up/Down. This is not Geometric Brownian Motion (GBM) and is not calibrated to any option-implied distribution.
Bounds are percentiles of final simulated prices, not a statistical confidence interval of the mean.
HTF mode updates at the start of a new HTF interval (first chart bar where the HTF timestamp changes), so the band appears "step-like" in realtime.
Historical volatility requires enough bars for the selected lookback; until then, values may be na.
Performance depends on Sims × Substeps; extreme settings (e.g., 500×500) can be slow.
This indicator does not predict direction—it shows a probabilistic range based on your inputs.
Consolidation zones + BreakoutThis Pine Script v6 indicator is designed to detect consolidation zones and mark breakout entries (long or short) when price exits those zones.
Indicator purpose
Identify periods where price moves in a tight range for several consecutive bars (consolidation).
Highlight those zones on the chart with a yellow shaded area between the local high and low.
Mark potential LONG and SHORT entries when price breaks out of a consolidation zone.
Core consolidation logic
The indicator measures whether the market is “compressed” by comparing the price range of recent bars with volatility measured via ATR:
It computes the highest high and lowest low of the last lookback bars:
rangeHigh = ta.highest(high, lookback)
rangeLow = ta.lowest(low, lookback)
It calculates the current range:
rng = rangeHigh - rangeLow
It calculates ATR over atrLen bars as a volatility benchmark:
atrVal = ta.atr(atrLen)
It defines a compressed range (base consolidation) when the range is smaller than a multiple of ATR:
baseConso = rng < atrVal * atrMult
Here, atrMult controls how tight the range must be. Lower values (0.8–1.0) require strong compression; higher values (1.5–2.0) are more permissive.
Minimum bars in consolidation
To avoid calling a very short pause a consolidation, the script enforces a minimum duration:
It uses ta.barssince(not baseConso) to count how many bars have passed since the last time the consolidation condition was false.
If that count is greater than or equal to minBars, the market is considered to be in consolidation:
text
isConsolidating = ta.barssince(not baseConso) >= minBars
This prevents 2–3 sideways bars from being treated as a full consolidation zone. The minBars input lets you adapt the duration to your timeframe and trading style.
Plotting the consolidation zone
When isConsolidating is true, the script shades the consolidation area:
It plots two invisible series for the zone’s high and low:
text
pHigh = plot(rangeHigh, display = display.none)
pLow = plot(rangeLow, display = display.none)
It creates a yellow semi‑transparent fill between those lines only while in consolidation:
text
fillColor = isConsolidating ? color.new(#ffeb3b, 80) : color.new(#ffeb3b, 100)
fill(pHigh, pLow, color = fillColor, title = "Consolidation Zone")
Outside consolidation, the color becomes almost fully transparent so the shaded zone disappears. This keeps the chart clean and focuses attention on the actual ranges.
Breakout detection (LONG / SHORT)
The script then looks for breakouts when price leaves a consolidation zone:
It checks if the previous bar was inside consolidation:
wasConso = isConsolidating
A bullish breakout (LONG) occurs when:
The current bar is no longer in consolidation (not isConsolidating).
The previous bar was in consolidation (wasConso).
The close breaks above the previous consolidation high (close > rangeHigh ):
text
breakLong = not isConsolidating and wasConso and close > rangeHigh
A bearish breakout (SHORT) occurs when:
The current bar is no longer in consolidation.
The previous bar was in consolidation.
The close breaks below the previous consolidation low (close < rangeLow ):
text
breakShort = not isConsolidating and wasConso and close < rangeLow
On each breakout, a label is drawn at the breakout bar:
text
if breakLong
label.new(bar_index, low, "LONG",
style = label.style_label_up,
textcolor = color.white,
color = color.new(color.teal, 0),
size = size.tiny)
if breakShort
label.new(bar_index, high, "SHORT",
style = label.style_label_down,
textcolor = color.white,
color = color.new(color.red, 0),
size = size.tiny)
These labels highlight where price transitions from sideways action to a potential directional move.
User inputs and tuning
lookback (Bars for range)
Number of bars used to compute the consolidation high/low. Higher values produce wider, less frequent zones; lower values detect shorter consolidations.
minBars (Minimum bars in consolidation)
Minimum number of consecutive bars that must meet the compression condition. On 15‑minute charts, values between 6 and 12 often work, but this depends on the asset.
atrLen and atrMult
Control how strict the compression rule is.
atrLen: ATR period.
atrMult: maximum allowed range as a multiple of ATR.
Increasing atrMult finds more zones; decreasing it makes the filter stricter.
showText
Optional helper label with a short description, useful when sharing the script with other users on the TradingView community.
Practical usage
Apply the indicator to your preferred timeframe (for example, 15‑minute crypto charts).
Tweak lookback, minBars, and atrMult until the yellow zones match the consolidations you would mark manually.
Use the LONG and SHORT labels as areas of interest for studying range breakouts and building your own entry/exit rules, always combining them with risk management and a complete trading strategy.
This way, the script turns a visual concept—sideways consolidation followed by breakout—into a systematic, testable signal in Pine Script v6.
BTCUSD BOS & Liquidity MapBTCUSD is trading inside a high‑volume range after a clear series of Breaks of Structure (BOS) from the recent distribution zone into the current demand area. This chart highlights the key liquidity sweep, consolidation blocks and volume clusters that are likely to drive the next impulsive move.
Structure: Market shifted from a strong bullish leg into a clean bearish redistribution, confirmed by multiple BOS signals on the higher‑timeframe structure.
Liquidity: Price swept resting liquidity below prior lows and is now holding above the marked support band (89,270 – 88,300), suggesting absorption by buyers rather than continuation selling.
Volume profile: Visible Volume Profile shows heavy participation at the current range, reinforcing this zone as a potential accumulation area before a directional break.
Key levels:
Resistance zone: 97,950 – 98,300 (major supply and previous distribution ceiling).
Support zone: 89,270 – 88,300 (key demand and liquidity grab area).
Idea: As long as price holds above the support band, a reactive bullish leg back toward the resistance zone remains on the table. A clean break and acceptance below support would invalidate the bullish bias and open room for a deeper downside continuation.
This chart is for educational purposes only and not financial advice. Use it as a framework for your own entries, confirmations and risk management on BTCUSD.
EstongA* Bot Alerts ProV1*Here’s a consolidated list of warnings and advice for traders, whether you're just starting or are experienced:
⚠️ Critical Warnings
1. You can lose all your capital – Trading is not a get-rich-quick scheme. Never trade with money you can’t afford to lose.
2. Avoid leverage until you fully understand it – Leverage amplifies both gains and losses. Many traders get wiped out by over-leveraging.
3. Beware of "guaranteed profit" systems – If it sounds too good to be true, it is. No strategy works all the time.
4. Emotional trading is a career killer – Fear, greed, and revenge trading destroy accounts.
5. Don’t follow tips or "hot leads" blindly – Do your own analysis. Many influencers are secretly unloading positions onto followers.
📚 Essential Advice
Mindset & Psychology
• Treat trading like a business, not gambling. Have a plan for every trade.
• Develop patience – Wait for high-probability setups; don’t force trades.
• Accept losses as part of the game – Even the best traders have losing streaks. The key is risk management.
• Keep a trading journal – Record every trade: entry/exit reasoning, emotional state, outcome. Review weekly.
Risk Management (Non-Negotiable)
• Risk only 1-2% of your capital per trade – This protects you from ruin during a losing streak.
• Always use stop-losses – Decide your stop-loss BEFORE entering a trade.
• Never add to a losing position ("averaging down") – This is how small losses become catastrophes.
• Have a risk/reward ratio of at least 1:2 – Aim for potential profit to be at least double your potential loss.
Strategy & Education
• Master one market/strategy at a time – Don’t jump between forex, stocks, crypto, and options simultaneously.
• Backtest and forward-test any strategy before using real money.
• Understand market context – Are you in a trending or ranging market? Adjust your strategy accordingly.
• Continuously educate yourself – Markets evolve. Stay updated, but avoid constantly switching strategies.
Practical Habits
• Start with a demo account – Prove you can be consistently profitable before using real money.
• When moving to real money, start small – The psychology changes with real money on the line.
• Set trading hours and stick to them – Avoid overtrading and burnout.
• Regularly withdraw profits – Secure gains and reinforce the reality of your earnings.
🚨 Red Flags in Yourself
• Chasing losses – Trying to immediately recoup a loss leads to bigger losses.
• Overconfidence after wins – Leads to taking oversized, reckless trades.
• Ignoring your trading plan – If you’re making exceptions, you don’t have a plan.
• Blaming the market or others – You are responsible for every trade. Take ownership.
🔍 Choosing a Broker/Platform
• Regulation is crucial – Ensure they are licensed by a reputable authority (FCA, SEC, ASIC, etc.).
• Understand all fees – Spreads, commissions, overnight financing, withdrawal fees.
• Test customer support – You need them in a crisis.
• Start with a well-known, established broker – Avoid obscure platforms with offers that seem too good.
💡 Final Wisdom
• Preservation of capital is more important than making profits. Survive to trade another day.
• The market will always be there – Missing an opportunity is better than taking a bad trade.
• Trading is a marathon of consistency, not a sprint for mega-returns.
• If you're consistently losing, stop, step back, and re-evaluate. Sometimes the best trade is no trade.
Remember, approximately 90% of retail traders lose money. To be in the successful 10%, you need discipline, continuous learning, and emotional control more than a "perfect" strategy. Good luck.
FXShare HotspotsThis is another small concept I’ve been playing with while watching price behavior more than indicators.
The idea is simple:
price often tells you something before it turns, not with indicators, but with shape + effort.
This script compares:
• Candle body size
• Wick dominance (rejection)
• Relative volume spike
When those line up, it marks what I call a Hotspot - a place where price put in effort (volume) but failed to continue in the same direction (small body, long wick).
Very often, these areas precede reactions, pauses, or reversals.
I intentionally made all the math adjustable:
• volume multiplier
• body vs wick ratios
• minimum wick dominance
• optional EMA-based trend filter
Nothing is hard-coded, because markets, symbols, and timeframes behave differently. You can tune it for crypto, forex, indices or rip parts of it for your own experiments.
There are no zones, no boxes, no clutter, just clean markings where the condition happened, so it’s easy to read and easy to build on. It’s more like a visual highlighter for moments where price/volume behavior becomes interesting.
XRP Athey Mitchnick Implied Price (Ramp + Analytical 2030 Label)This indicator implements a fundamental valuation framework for XRP based on the Athey–Mitchnick cryptoasset valuation model. Unlike traditional technical indicators (RSI, MACD, etc.), this tool is not designed to predict short-term price movements. Instead, it models what XRP should be worth over time under explicit adoption and demand assumptions.
It answers the question:
If XRP becomes a real settlement rail and a long-term store of value, what price would be required for the system to function?
What This Indicator Adds
This implementation extends the static Athey–Mitchnick model by introducing a time-based ramp:
1. Adoption grows over time
You specify:
TV CAGR (%)
SoV CAGR (%)
These values compound annually from a start date to an end date (e.g., 2030), producing a dynamic implied valuation curve.
2. Terminal 2030 price is computed analytically
The indicator explicitly computes the implied price at the target year (e.g., 2030) and displays it as:
“2030 Implied Price = $X”
This is done analytically, so the chart does not need to extend to 2030 for you to see the terminal valuation.
3. This is not a trading indicator
This model is not designed for:
Scalping
Breakouts
Entry timing
Momentum trading
It is designed for:
Long-term valuation anchoring
Scenario modeling
Macro thesis testing
Adoption-based forecasting
Narrative vs fundamentals comparison
How to Read the Chart
Market Price (Close)
This is the actual XRP market price. It reflects:
Speculation
Liquidity
Leverage
Narrative
Emotion
Implied Price (Ramp)
This is the fundamental valuation curve.
It shows what XRP’s price would need to be at each point in time for your adoption and store-of-value assumptions to be true.
Bands (Optional)
The ±% bands are valuation tolerance zones. They are not volatility bands.
They help visualize:
Overvaluation
Undervaluation
Reversion zones
2030 Label
The label:
2030 Implied Price = $X
represents the terminal valuation implied by your assumptions. This is the most important output of the model.
What Makes the Price Go Higher
To increase the implied 2030 price, one or more of these must change:
1. Higher Transaction Adoption (TV)
Inputs:
TV0
TV CAGR %
This reflects real-world economic usage.
Higher TV means XRP is settling more real value per day.
Examples:
Cross-border payments
Tokenized assets
Treasury settlement
Interbank liquidity rails
2. Higher Store-of-Value Demand (SoV)
Inputs:
SoV0
SoV CAGR %
This reflects long-term holding demand.
This is the most powerful driver of long-term price.
It models:
Institutional holdings
Strategic reserves
Collateral usage
Long-term investor behavior
3. Lower Velocity
Input:
Velocity V
Lower velocity means XRP must be held longer to support the same transaction volume.
This implies:
Reserve-like behavior
Collateralization
Treasury holding
Structural stickiness
Price is inversely proportional to velocity.
4. Lower Effective Supply
Inputs:
Supply0
Supply CAGR
Supply cap
If XRP becomes locked, escrowed, staked, or structurally held, the effective circulating supply shrinks, increasing price.
Why This Matters
Most crypto price models are:
Technical
Reflexive
Narrative-driven
Non-falsifiable
This one is:
Structural
Adoption-based
Testable
Falsifiable
If XRP never achieves the adoption implied by your inputs, the model will not justify high prices.
This indicator is a forward-looking valuation engine, not a trading tool.
It shows:
What XRP’s price must be for your beliefs about its future to be true.
It forces clarity.
It forces discipline.
And it converts stories into structure.
Cash-and-Carry Yield (APR)This indicator calculates and visualizes the annualized rate of return for Cash-and-Carry arbitrage strategies by comparing a specific Futures contract against its underlying Spot price. By automatically projecting the current price spread (basis) based on the exact time remaining until expiration, it allows traders to instantly assess the potential "risk-free" yield available in the market.
The script is engineered to support both continuous 24/7 crypto markets and traditional CME futures. It features a smart "Gap Handling" setting that allows users to choose between a strict view that respects market closes (showing "Market Closed" during weekends) or a filled view that carries over the last known price for a seamless chart experience.
Visually, the indicator displays the annualized yield as a histogram; green columns indicate a Contango market (positive yield), while red columns signal Backwardation. A Simple Moving Average (SMA) is overlaid to help identify the broader yield trend amidst volatility. An integrated dashboard table in the corner provides a real-time summary of the Spot Price, Future Price, absolute spread, and the precise number of days left until expiration. Please ensure the Futures Ticker and the corresponding Expiration Date are correctly entered in the settings for accurate time-weighted calculations.
Swing Structure Bands [ChartPrime]⯁ OVERVIEW
Swing Structure Bands is a structure-based trend and reaction indicator that builds adaptive price bands directly from swing highs and swing lows.
Instead of using fixed-length moving averages, the bands dynamically adjust their length based on how long price has been forming higher highs or lower lows, allowing the indicator to naturally align with real market structure.
This makes the tool especially effective for identifying swing-based support and resistance, trend continuation zones, and exhaustion reactions.
⯁ CORE CONCEPT
The indicator continuously tracks:
The most recent swing high and swing low over a configurable swing window.
How long price has been developing since each swing point.
Dynamic moving averages whose length grows with the swing itself.
As long as price respects the current swing direction, the bands extend and adapt.
When structure breaks, the system resets and starts forming new swing-based bands.
⯁ SWING DETECTION LOGIC
A Swing High is detected when price forms a local maximum relative to the swing lookback.
A Swing Low is detected when price forms a local minimum relative to the swing lookback.
Direction flips when price transitions from forming highs to forming lows, or vice versa.
Each confirmed swing is marked on the chart, giving clear structural context.
⯁ ADAPTIVE BAND CONSTRUCTION
Upper bands are derived from swing highs.
Lower bands are derived from swing lows.
Band length dynamically increases as the swing develops.
Multiple MA types can be used (SMA, EMA, SMMA/RMA, WMA, VWMA).
ATR is applied as an offset to create upper and lower envelopes around each band, forming a volatility-aware structure channel.
⯁ VOLATILITY FILTERING
If the band moves too aggressively relative to ATR, it is temporarily disabled.
This prevents unstable or noisy bands during sudden expansions.
Bands only remain active when price structure is stable.
This logic keeps the indicator focused on meaningful swings rather than short-term spikes.
⯁ REACTION & SIGNAL LOGIC
Sell signals appear when price crosses down from the upper swing band after sufficient stabilization.
Buy signals appear when price crosses up from the lower swing band after sufficient stabilization.
Cooldown logic prevents signal clustering.
Signals are designed as structure reactions , not momentum breakouts.
⯁ VISUAL STRUCTURE CLARITY
Separate bullish and bearish bands with customizable colors.
Optional band envelopes for visual depth.
Clear swing labels marking structural turning points.
Diamond markers highlight reaction zones.
The visualization emphasizes where price reacts to structure rather than where it accelerates.
⯁ HOW TO USE
Use upper bands as dynamic resistance during bearish or corrective phases.
Use lower bands as dynamic support during bullish phases.
Combine band reactions with higher-timeframe trend direction.
Look for confirmations near bands rather than mid-range entries.
The indicator works best as a structure framework rather than a standalone signal generator.
⯁ IDEAL MARKET CONDITIONS
Trending markets with clear swing development.
Markets transitioning from impulse to correction.
Crypto, forex, indices, and liquid stocks.
⯁ CONCLUSION
Swing Structure Bands offers a structurally grounded alternative to traditional moving average channels.
By anchoring bands to real swing behavior and adapting dynamically over time, it provides traders with a clearer view of where price is reacting, pausing, or potentially reversing within the broader market structure.
ATR Volatility RegimeATR Volatility Regime
A volatility classification indicator that uses ATR (Average True Range) percentile ranking to identify LOW , NORMAL , HIGH , or EXTREME volatility conditions.
Displayed as a separate pane oscillator (0–100 scale) with colored zones.
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💡 WHY THIS INDICATOR?
Most volatility indicators show raw ATR — a number without context. Is ATR = 50 high or low? Depends on the asset and recent history.
This indicator answers: "Is current volatility high or low for THIS asset, right now?"
What it adds over standard ATR:
Percentile context — Compares current ATR to its own history
Regime classification — Actionable labels instead of raw numbers
Visual zones — Instant read without interpretation
Optional MTF — Lock to a fixed timeframe while viewing another
Auto-adapts — Works on any asset without manual threshold tuning
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📐 CORE CONCEPTS
ATR (Average True Range)
Measures volatility in price units — how much an asset typically moves per bar. Directionless (magnitude only, not direction).
Calculation:
True Range = the greatest of:
High − Low (current bar's range)
|High − Previous Close| (gap up captured)
|Low − Previous Close| (gap down captured)
ATR = Moving average of True Range over N bars (default: 14)
Percentile Rank (Pctl)
Answers: "What percentage of historical values is the current value greater than?"
Pctl = 0% → Lowest ATR in lookback period (extreme compression)
Pctl = 50% → Median ATR (typical volatility)
Pctl = 100% → Highest ATR in lookback period (extreme expansion)
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🎯 WHAT IT DOES
Classifies current volatility into four regimes:
LOW (< 25th percentile) — Compression, breakout likely brewing
NORMAL (25th–50th percentile) — Typical market conditions
HIGH (50th–75th percentile) — Elevated volatility, use caution
EXTREME (> 75th percentile) — Rare expansion, tighten stops or stay flat
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📊 DISPLAY COMPONENTS
Oscillator Line (0–100)
ATR percentile rank over time. Color matches regime:
Blue = LOW
Gray = NORMAL
Orange = HIGH
Red = EXTREME
Zone Backgrounds
Colored bands at threshold levels for instant visual reference.
Status Label
VOL — Current regime
ATR — Raw ATR value (for stop sizing)
Pctl — Percentile rank (0–100%)
TF — Active timeframe (chart or fixed)
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📈 HOW TO USE
LOW Volatility (Pctl < 25%):
Market compressed — "calm before the storm"
Watch for breakout setups
Pctl = 0% often precedes significant moves
NORMAL Volatility (Pctl 25–50%):
Typical conditions
Standard position sizing and stops
HIGH Volatility (Pctl 50–75%):
Elevated movement — reduce size
Widen stops to avoid noise
EXTREME Volatility (Pctl > 75%):
Rare, intense conditions
Avoid new entries or tighten risk
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⚙️ SETTINGS
ATR Settings:
ATR Length (default: 14) — Period for ATR calculation
Percentile Lookback (default: 100) — Bars for percentile ranking
Timeframe:
Use Fixed Timeframe (default: off) — Lock calculation to specific TF
Fixed Timeframe (default: D) — TF to use when fixed mode enabled
Thresholds:
Low Threshold (default: 25)
High Threshold (default: 50)
Extreme Threshold (default: 75)
Display:
Show Zone Background — Toggle colored fills
Show Status Label — Toggle info label
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📋 SUGGESTED LOOKBACK BY ASSET
Crypto — 100 bars (fast regime shifts)
Stocks — 252 bars (one trading year)
Forex — 100–150 bars
Commodities — 150–200 bars (seasonal patterns)
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🔔 ALERTS
Vol → EXTREME
Vol → HIGH
Vol → LOW
Vol exits HIGH
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💡 PRACTICAL APPLICATIONS
Stop-Loss Sizing:
Use raw ATR for stops. Example: Stop = Entry − (1.5 × ATR)
Position Sizing:
Reduce size when percentile is HIGH or EXTREME.
Entry Filtering:
LOW regime = prepare for breakout
EXTREME regime = avoid new entries
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📝 NOTES
Works on any timeframe — adapts to chart or locks to fixed TF
ATR is non-directional — magnitude only
Percentile auto-adapts to each asset's volatility profile
Not a standalone signal — combine with trend/regime filters
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🏷️ TAGS
volatility, ATR, average-true-range, percentile, regime, risk-management, position-sizing, swing-trading, MTF
Weekly Regime Filter - Trend + Momentum + Structure (MTF)A multi-timeframe weekly regime indicator that classifies market conditions into BULL , BEAR , or CHOP using three components: trend, momentum, and market structure.
Works on any timeframe while always referencing weekly data — no repainting.
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🎯 WHAT IT DOES
Answers one question: What is the weekly regime?
• Trend — EMA hierarchy (Price > EMA Fast > EMA Slow)
• Momentum — DI+ vs DI- with optional ADX filter
• Structure — Break of Structure (BOS) and Change of Character (CHOCH)
BULL = All three bullish
BEAR = All three bearish
CHOP = Mixed signals
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⚡ KEY FEATURES
• Multi-Timeframe (MTF) — View on 1H, 4H, Daily; regime stays consistent
• Auto-Detect Asset Type — Automatically applies optimized settings for Crypto, Stocks, Forex, Gold, Silver, Oil, Commodities
• BOS/CHOCH Labels — Visual market structure breaks on chart
• Live Status Panel — Shows regime, components, and active parameters
• Non-Repainting — Uses confirmed weekly closes only
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📊 ASSET PRESETS
• Crypto — EMA 50/200, ADX Off, Pivot 2
• Stocks/Indices — EMA 50/200, ADX >20, Pivot 3
• Forex — EMA 30/100, ADX >25, Pivot 2
• Gold — EMA 40/150, ADX >20, Pivot 3
• Silver — EMA 40/150, ADX >22, Pivot 3
• Oil — EMA 30/100, ADX >25, Pivot 2
• Commodities — EMA 40/120, ADX >20, Pivot 3
Select "Custom" to use your own values.
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📈 HOW TO USE
For Swing Trading:
• Set chart to Daily
• Use Auto-Detect or select preset
• Long only when BULL, short only when BEAR
• Reduce size or avoid when CHOP
Structure Signals:
• CHOCH ↑ after bear regime = Early reversal signal
• CHOCH ↓ after bull regime = Tighten stops
• BOS in regime direction = Trend continuation
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🔔 ALERTS
• Regime → BULL
• Regime → BEAR
• CHOCH → Bull
• CHOCH → Bear
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⚙️ SETTINGS
Preset: Auto-Detect, Crypto, Stocks, Forex, Gold, Silver, Oil, Commodities, Custom
Custom Settings (when Custom selected):
• EMA Fast/Slow lengths
• ADX Length & Threshold
• ADX Filter toggle
• Pivot Left/Right
Display:
• Plot Weekly EMAs
• Show BOS/CHOCH Labels
• Show Regime Background
• Background Opacity
• Show Status Label
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📝 NOTES
• Needs ~200 weeks of history for full calculation
• Weekly signals are slower by design — filters noise
• Not a standalone system — combine with entries and risk management
• When using presets, Custom input fields won't visually update (Pine limitation) — status label shows actual values
EEQI [Environment Quality Index] PyraTime The Problem: Why Good Strategies Fail
The number one reason traders lose capital is not a lack of strategy—it is forced execution in poor environments.
Most indicators (RSI, MACD, Stochastic) are continuously active, generating signals even when the market is dead, choppy, or chaotic. A breakout strategy that prints money in a trend will destroy your account in a consolidation range. A mean-reversion system that works in chop will fail during a parabolic expansion.
The Solution: PyraTime EEQI The Execution Environment Quality Index (EEQI) is a "Gatekeeper" layer for your trading. It does not tell you what to buy or sell; it tells you if you should be trading at all.
By aggregating Volatility, Price Structure, and Efficiency into a single composite score, the EEQI answers the most critical question in discretionary trading: "Is the market efficient enough to deploy capital right now?"
How It Works: The 3 Core Engines
The EEQI calculates a raw "Environment Score" (from -2 to +4) by analyzing three distinct dimensions of price action.
1. Volatility Engine (Usability)
The Logic: Measures the "Alive-ness" of the market using ATR Percentiles.
The Filter: It detects "Dead Zones" (where price is too flat to hit targets) and "Chaos Zones" (where volatility is too dangerous).
Smart Feature (Parabolic Override): If price moves significantly (>2x ATR) in a single candle, the engine recognizes this as "High Momentum" rather than chaos, unlocking Green signals during breakouts.
2. Structure Engine (Bar Quality)
The Logic: Analyzes the relationship between candle bodies, wicks, and overlap.
The Filter: It penalizes "Barbed Wire" price action—candles with long wicks and high overlap—which indicate indecision and algo-chop.
The Goal: We want to trade during "Clean Flow," where candle bodies are large and overlap is low.
3. Efficiency Engine (Directional Flow)
The Logic: Compares Net Displacement (start-to-finish distance) vs. Total Distance Traveled.
The Filter: Identifies "Whipsaw" conditions where price moves a lot but goes nowhere.
Smart Feature (Velocity Lock): If price travels a massive distance quickly, the efficiency requirement is relaxed to catch explosive moves that might otherwise look "messy."
The "Smart Gatekeepers"
Even if the Core Engines look good, the EEQI applies three final safety checks before granting a PRIME status.
Regime Persistence (Stability Check): The market must hold a high score for a set number of bars (default: 1) before the signal turns Green. This prevents "fake-outs" where a single anomaly candle tricks you into entering a bad trend.
Volume Validation (Liquidity Check): Price movement without participation is a trap. The EEQI checks Relative Volume (RVOL). If volume is below average (e.g., lunch hour, holidays, or late-night sessions), the score is capped at "Fair" or "Low Vol," preventing execution in thin liquidity.
Macro Context (HTF Filter): You cannot trade against the higher timeframe. The EEQI checks the trend and volatility of the Higher Timeframe (default: Weekly). If the macro view is compressed or dead, the local signal is vetoed.
How to Read the HUD
The Dashboard (Bottom Right) gives you an instant read on the market state.
🟢 PRIME (+4): Execution Optimal. The market is trending, efficient, and backed by volume. This is the "Green Light" for your strategy.
🔵 FAIR (+1 to +3): Tradeable. Conditions are decent, but one factor (e.g., volume or structure) is imperfect. Exercise caution.
⚪ NEUTRAL (0): Indecision. The market is transitioning. Stand aside.
🟡 BUILDING: Wait. The market is good, but hasn't proven itself yet (Persistence Check).
🟠 POOR / LOW VOL: Chop. Price is messy or lacking participation.
🔴 AVOID (-2): Danger Zone. The market is either dead flat or violently chaotic. Do not trade.
Settings & Customization
The indicator comes with calibrated presets for different asset classes:
Crypto: Tolerates higher volatility and requires stronger efficiency confirmation.
Forex: Stricter dead-zone filters to handle ranging sessions.
Indices: Balanced settings for standard equity hours.
Disclaimer
This tool is designed for environment analysis only. It does not provide buy or sell signals, entry prices, or stop-losses. It is intended to be used as a filter to improve the performance of your own discretionary strategies.
ARPAKET_FLOW_CRYPTOArpaket_FLOW - TradingView Script
---
## 📝 Short Description (for subtitle)
```
Advanced Money Flow Indicator with Multi-Asset Support, Whale Detection & Multi-Timeframe Analysis
```
---
## 📄 Full Description (copy below this line)
---
### 🌊 ARPAKET_FLOW - Smart Money Flow Indicator
**Arpaket_FLOW** is a comprehensive money flow indicator designed to help traders visualize whether smart money is flowing INTO or OUT of the market, along with the intensity of that flow. This indicator combines multiple proven technical analysis methods into a single, easy-to-read tool for making informed buy/sell decisions.
---
### 🎯 What Does This Indicator Do?
This indicator answers the most critical question in trading: **"Is money flowing into or out of this asset?"**
By combining volume analysis with price action, Arpaket_FLOW calculates a **Flow Score (0-100)** that tells you:
- **Above 70**: Strong money inflow → Bullish bias
- **50-70**: Moderate inflow → Cautiously bullish
- **30-50**: Neutral zone → Wait for confirmation
- **Below 30**: Strong money outflow → Bearish bias
---
### 🔬 How It Works
Arpaket_FLOW combines **6 powerful indicators** into one unified score:
| Component | Weight | Purpose |
|-----------|--------|---------|
| **Volume Ratio** | 25% | Detects unusual volume activity |
| **Money Flow Index (MFI)** | 20% | Measures buying/selling pressure with volume |
| **Chaikin Money Flow (CMF)** | 20% | Identifies accumulation/distribution |
| **On-Balance Volume (OBV)** | 15% | Tracks volume flow direction |
| **RSI Momentum** | 10% | Confirms price momentum |
| **VWAP Deviation** | 10% | Institutional price reference |
---
### ✨ Key Features
#### 🎛️ Multi-Asset Adaptation
- **Crypto Mode**: Higher volatility thresholds + Whale detection
- **Low Liquidity Stocks**: Adjusted sensitivity for thin markets (SET Index, Small Caps)
- **High Liquidity Markets**: Standard settings for Forex, Major Indices
#### ⏱️ Multiple Trading Styles
- **Scalping** (1-5 min): Ultra-fast signals with noise filtering
- **Day Trading** (15min-1H): Balanced speed and reliability
- **Swing Trading** (4H-Daily): Multi-timeframe confirmation
- **Position Trading** (Weekly+): Long-term flow analysis
#### 🐋 Whale Detection (Crypto)
Automatically detects unusual large-volume activity that may indicate whale accumulation or distribution. When volume exceeds 3x the average, a whale marker (🐋) appears on the chart.
#### 📊 Multi-Timeframe Panel
For Swing and Position traders, view flow direction across 4 timeframes (1H, 4H, Daily, Weekly) simultaneously to ensure alignment before entering trades.
#### 📋 Real-Time Dashboard
A clean dashboard displaying:
- Flow Direction (Inflow/Outflow/Neutral)
- Flow Score (0-100)
- Flow Strength (Weak/Moderate/Strong/Extreme)
- Volume Status (Normal/Surge/Whale)
- MFI & CMF readings
- Overall Signal (Buy/Sell/Neutral)
#### ⚠️ Divergence Detection
Automatically identifies bullish and bearish divergences between price and money flow, providing early reversal warnings.
---
### 📖 How To Use
#### Basic Usage:
1. **Select your Market Type** in settings (Crypto/Low Liquidity/High Liquidity)
2. **Select your Trading Style** (Scalping/Day Trading/Swing/Position)
3. **Watch the histogram**:
- Green bars = Money flowing IN (bullish)
- Red bars = Money flowing OUT (bearish)
- Bar height = Flow intensity
#### Signal Interpretation:
| Signal | Meaning | Suggested Action |
|--------|---------|------------------|
| 🟢 Green Triangle | Strong buy signal | Consider long entry |
| 🔴 Red Triangle | Strong sell signal | Consider short/exit |
| 🐋 Whale Icon | Large player activity | Watch for direction |
| DIV Label | Divergence detected | Potential reversal |
#### Best Practices:
- Use **higher timeframes** for trend direction
- Use **lower timeframes** for entry timing
- Wait for **MTF alignment** (3+ timeframes agreeing) for higher probability trades
- Combine with support/resistance levels for optimal entries
---
### ⚙️ Settings Guide
#### General Settings
- **Market Type**: Match to your traded asset
- **Trading Style**: Match to your timeframe
- **Sensitivity**: Conservative (fewer signals) → Aggressive (more signals)
#### Period Settings
- **Fast Period**: Short-term calculation (default: 7)
- **Slow Period**: Long-term calculation (default: 21)
- **Signal Smoothing**: Reduces noise (default: 5)
#### Alert Settings
- **Buy Threshold**: Score level for buy signals (default: 70)
- **Sell Threshold**: Score level for sell signals (default: 30)
- **Volume Surge Multiplier**: Volume spike detection (default: 2.0x)
- **Whale Multiplier**: Whale detection threshold (default: 3.0x)
---
### 🔔 Available Alerts
1. **Strong Buy/Sell Signal** - When confirmed signals trigger
2. **Enter Buy/Sell Zone** - When score crosses thresholds
3. **Whale Activity** - Accumulation or distribution detected
4. **Bullish/Bearish Divergence** - Price/flow divergence
5. **Volume Surge** - Unusual volume spike
6. **MTF Alignment** - Multiple timeframes agree
7. **Extreme Conditions** - Score above 90 or below 10
8. **Flow Reversal** - Direction change confirmed
---
### 📈 Recommended Combinations
This indicator works best when combined with:
- **Support/Resistance levels** for entry points
- **Trend lines** for direction confirmation
- **Moving Averages** (EMA 20/50/200) for trend context
- **Price Action patterns** for timing
---
### ⚠️ Disclaimer
This indicator is a tool to assist in trading decisions, not a guarantee of profits. Always:
- Use proper risk management
- Never risk more than you can afford to lose
- Backtest before live trading
- Consider multiple factors before entering trades
Past performance does not guarantee future results. Trading involves substantial risk of loss.
---
### 🙏 Credits & Acknowledgments
This indicator combines concepts from:
- Money Flow Index (Gene Quong & Avrum Soudack)
- Chaikin Money Flow (Marc Chaikin)
- On-Balance Volume (Joe Granville)
- Volume-Weighted Average Price (Institutional standard)
---
### 💬 Feedback
If you find this indicator helpful, please leave a comment or like! Your feedback helps improve future updates.
For questions or suggestions, feel free to comment below.
**Happy Trading!** 🚀
---
## 🏷️ Suggested Tags (for TradingView)
```
moneyflow, volume, smartmoney, whaledetection, crypto, stocks, forex, mfi, cmf, obv, vwap, multitimeframe, buysellindicator, flowanalysis, accumulation, distribution
```
---
## 📸 Suggested Screenshots to Include
1. **Main Chart View** - Show the indicator with histogram and dashboard
2. **Buy Signal Example** - Zoom in on a successful buy signal
3. **Whale Detection** - Show crypto chart with whale markers
4. **MTF Panel** - Display multi-timeframe alignment
5. **Settings Panel** - Show available customization options
RSI Open-Source IndicatorA simple open-source RSI indicator
using default settings.
No signals.
No predictions.
Structural Heat Map (V3 + R3 BMSB Deviation)This indicator measures structural deviations of price from the Weekly Bull Market Support Band (BMSB), adjusted for both micro and macro volatility regimes. It is designed for crypto assets where volatility clustering, leverage cycles, and asymmetric crowding frequently produce blow-off tops and liquidation cascades.
The Weekly BMSB acts as a macro “fair value” baseline, while daily deviations reveal short-term extensions in both bullish and bearish conditions. A hybrid volatility normalization (Daily ATR vs Weekly ATR regime) converts deviations into a continuous 0–100 “structural heat” scale:
0–20: neutral / within structural equilibrium
20–40: early extension
40–60: crowded / extended
60–80: stressed / high-risk
80–100: extreme blow-off or capitulation conditions
Extreme readings highlight periods of structural distortion, not trend reversal signals. These events often coincide with leverage expansions, sentiment extremes, funding dislocations, and cycle peaks or washouts.
Use-case: informational context for crypto cycle analysis, risk awareness, regime characterization, and macro/micro structural comparison. This is not a buy/sell indicator and should not be interpreted as such.
ETH - Log Regression BandsETH – Log Regression Bands: Detailed Description (Math + How to Use)
Overview
This indicator plots a long-term “fair value” growth curve for ETH and surrounds it with multiple upper and lower bands. The goal is to estimate where price sits relative to a long-term trend that is best interpreted in **logarithmic (percentage) terms**, not raw dollars.
The bands create clear zones showing when ETH is historically cheap or expensive relative to that long-term curve.
---
Why use logarithms?
Price action is typically more meaningful in **percentage moves** than in absolute dollar moves.
* A move from $100 → $200 is +100%
* A move from $2000 → $2100 is only +5%
By modelling the natural logarithm of price, multiplicative growth becomes additive. That makes long-term growth easier to model and band spacing more consistent across very different price regimes.
So instead of modelling (P), the indicator models:
---
The growth model: Power-law curve
The indicator uses “time since inception” as the x-axis. However, rather than using time directly, it uses the logarithm of time:
where (t) is the number of days (or bars) since the first data point.
It then fits a straight-line model in log-log space:
Substituting back in:
Exponentiating both sides gives the curve in normal price units:
This is a **power-law** trend curve. It naturally produces a smooth, slowly bending long-term curve similar to the “log regression” curves often seen in macro crypto reports.
---
What “expanding regression” means
The model uses all data available from the beginning of the chart up to the current bar. That means:
* Early in the asset’s history the curve can change more because there are fewer points.
* Over time the curve becomes more stable as more history is included.
Important note: this does **not** repaint past bars. It simply means the current curve will update as new data comes in.
---
Measuring “typical deviation” from the curve (residual volatility)
Once the trend curve is fitted in log space, the indicator measures how far price typically wanders away from it.
At any time point:
* Actual log price is (y = \ln(P))
* Predicted log price from the curve is (\hat{y} = a + b\ln(t))
The **residual** is:
The indicator computes the standard deviation of these residuals:
This (\sigma) is a measure of typical “distance from trend” in log terms.
---
Building the bands (the key idea)
The bands are evenly spaced in **log space** using multiples of (\sigma). A band number (k) is created by shifting the log-trend up or down:
Upper band (k):
Lower band (k):
Where:
* (k) is the band number (1, 2, 3, …)
* (s) is a user-chosen spacing factor (band spacing)
* (\sigma) is the residual standard deviation
Converting back to normal price:
Upper band (k):
Lower band (k):
Why bands look like “translated copies”
Because shifting by a constant in log space equals multiplying by a constant in price space:
So the bands are the same underlying curve scaled up or down by fixed multipliers. That produces the smooth “stacked curve” look associated with macro log regression charts.
---
Optional curve shift (manual adjustment)
A manual offset can be applied in log space. This is useful if you want to align the entire structure slightly higher or lower.
Because the shift is applied to (\ln(P)), this is not an additive dollar adjustment. It scales the entire curve by a constant factor:
* Positive shift → multiplies all bands upward
* Negative shift → multiplies all bands downward
---
How to interpret the zones
The base curve represents a long-term “trend center” in log-growth terms.
* Price near the base curve → near long-term trend
* Price in upper bands → expensive relative to long-term trend
* Price in lower bands → cheap relative to long-term trend
Because the bands are built using residual volatility in log space, “cheap/expensive” is measured in a way that remains meaningful across different eras and price levels.
---
Long-term buy zones (Lower 1 and Lower 2)
**Lower 1** and **Lower 2** are intended as **long-term accumulation zones**.
When ETH trades in these zones, it is significantly below the long-term growth curve in log terms, which typically corresponds to:
* deep bear markets,
* high fear / capitulation phases,
* long accumulation periods.
A simple long-term framework many users apply:
* **Accumulate gradually when price enters Lower 1**
* **Accumulate more aggressively when price enters Lower 2**
* Reduce risk / take profits progressively in higher upper bands
These are not guarantees — they are **statistical “distance from trend” zones**, designed to help structure long-term decisions.
---
## Notes / limitations
* This indicator is a **macro trend tool**, not an intraday trading system.
* The curve is derived from historical behavior; it can shift slowly as new data arrives.
* Extremely new market regimes or structural changes can reduce reliability.
* Use alongside risk management and additional confirmation if trading.
---
Liquidity Gravity Engine [Pineify]```markdown
Liquidity Gravity Engine - Market Structure, Displacement, Liquidity Rails
Overview
Liquidity Gravity Engine is a market structure + liquidity visualization indicator designed to help you read flow , impulse , and liquidity magnets on any symbol and timeframe. Instead of relying on a single moving average, it builds a dynamic “flow ribbon” from confirmed swing structure, highlights displacement candles that create imbalance (FVG-style gaps), and projects unmitigated swing levels as liquidity rails that price often revisits.
Key Features
Liquid Flow Ribbon: a structure-based dynamic band that adapts to volatility.
Displacement Highlighting: flags momentum candles that expand beyond ATR and form an imbalance.
Liquidity Rails: extends unmitigated swing highs/lows as potential targets until swept.
Trend Context: displacement is filtered using the ribbon’s smoothed centerline.
How It Works
Market Structure (Swings) : swing highs/lows are detected using pivot logic over your “Structure Lookback”. Pivots become confirmed only after the lookback window completes, which means historical swing points can update until they are confirmed.
Flow Construction : the most recent confirmed swing high and swing low define a top and bottom boundary. Their midpoint is then smoothed with an EMA to create the “liquid” centerline.
Displacement + Imbalance : a candle is considered displacement when its range expands beyond ATR(14) × Displacement Factor and it creates a simple FVG-style gap (current low above the high two bars back for bullish, or current high below the low two bars back for bearish). The bar is then filtered by being on the correct side of the smoothed flow center.
Liquidity Rails : each new confirmed swing high/low can become a dotted rail. Rails extend forward and are removed once price sweeps beyond the level (mitigation), keeping the chart focused on active liquidity.
Trading Ideas and Insights
Use the ribbon as context : bias is stronger when price holds one side of the flow centerline.
Treat displacement markers as impulse confirmation : they often appear at breakout moments or at the start of expansions.
Use liquidity rails as magnets : unmitigated swing highs/lows can act as targets for continuation or mean-reversion moves.
Combine structure + displacement: a sweep into a rail followed by an opposite displacement can hint at a reversal attempt.
How Multiple Components Work Together
This indicator is intentionally built as a single liquidity-driven workflow:
Swings define structure.
Structure defines the flow ribbon (trend/volatility context).
The ribbon filters displacement so you see momentum that aligns with flow.
Liquidity rails provide objective target zones derived from the same swing structure.
The result is a cohesive view of market structure flow, institutional-style displacement, and liquidity targets without stacking multiple separate indicators.
Unique Aspects
Structure-first ribbon: the band is anchored to confirmed swing points, not just a price average.
Imbalance-aware displacement: requires both range expansion and a gap-style condition, reducing generic “big candle” noise.
Self-cleaning liquidity rails: mitigated levels are removed to keep the chart readable.
How to Use
Start with defaults on a clean chart.
Identify the flow: price above the smoothed centerline favors bullish flow; below favors bearish flow.
Watch for displacement diamonds (“D”): they often validate a push away from structure and can mark the start of a leg.
Plan around rails: treat dotted lines as potential objectives and areas where reactions/sweeps can occur.
Customization
Structure Lookback : smaller values = more sensitive swings; larger values = cleaner, slower structure.
Displacement Factor : higher values = fewer, stronger displacement bars; lower values = more signals.
Show Liquidity Rails + Liquidity Lookback : control whether rails are plotted and how active levels are emphasized.
Visuals : adjust bullish/bearish flow colors and liquidity line styling for your chart theme.
Conclusion
Liquidity Gravity Engine helps you map market structure, highlight displacement and imbalance (FVG-style) momentum, and visualize liquidity targets with rails that stay relevant until swept. Use it for trend context, breakout confirmation, and liquidity-based trade planning on forex, crypto, stocks, and indices.
Smart Wedge Pattern [The_lurker]🔺 Smart Wedge Pattern نموذج الوتد الذكي
Advanced & Intelligent Wedge Detection Engine
This is not a traditional indicator that simply draws wedge lines — it is a comprehensive intelligent engine (system) for detecting and analyzing wedge patterns (Rising & Falling Wedge) based on price geometry, market context, and statistical quality of the pattern.
This indicator was designed to address the biggest problems in common wedge indicators:
❌ Too many false patterns
❌ Ignoring prior trend
❌ No real quality assessment for patterns
A comprehensive intelligent system that combines:
Adaptive algorithm that self-calibrates automatically according to market conditions
7 strict validation layers that filter out weak patterns and keep only the highest quality
Quality scoring system that evaluates each pattern from 0 to 100
3D visualization that makes patterns visually clear in an exceptional way
Smart targets based on Fibonacci ratios with real-time achievement tracking
The Result:
➡️ Fewer patterns
➡️ Cleaner, more accurate and reliable signals
➡️ Higher quality
➡️ Real practical use
═════════════════════════════════════════════════════════════
🎯 What Are Wedge Patterns?
1- Falling Wedge — Bullish Reversal Pattern
The falling wedge forms when price moves in a converging downward channel — meaning both the upper resistance line and the lower support line are declining, but the support line declines at a less steep angle, gradually narrowing the channel.
Why does the bullish breakout occur?
Declining highs show continuous selling pressure
But rising lows (P2 < P4) reveal that buyers are entering at higher levels
Convergence indicates decreasing bearish momentum
At a certain point, buying pressure overcomes and the breakout occurs
2- Rising Wedge — Bearish Reversal Pattern
The rising wedge is the exact opposite of the falling wedge — a converging upward channel where both lines rise, but the resistance line rises at a less steep angle.
Why does the bearish breakout occur?
Rising lows show continuous buying pressure
But declining highs (P2 > P4) reveal that sellers are entering at lower levels
Convergence indicates decreasing bullish momentum
At a certain point, selling pressure overcomes and the breakout occurs
═════════════════════════════════════════════════════════════
🧠 Adaptive Pivot System — The Heart of the Smart Indicator
The Problem with Traditional Indicators
Traditional indicators use a fixed value for pivot detection (like 5 bars left and 5 bars right). This means:
In quiet markets → Many delayed signals
In volatile markets → Few missed signals
No adaptation to the nature of each market or timeframe
The Solution: Smart Adaptation Algorithm
The indicator calculates optimal pivot sensitivity on each bar using 5 weighted factors:
Final Score = (Volatility_Score × 0.30) + (Trend_Score × 0.25) +
(Stability_Score × 0.20) + (Percentile_Context × 0.15) +
(Range_Score × 0.10)
Factor Weight How It's Calculated Why It's Important
Volatility Score 30% ATR(10) / ATR(50) Detects sudden changes in volatility
Trend Score 25% ADX(14) / 50 Trending markets need different sensitivity
Stability Score 20% StdDev(ATR) / Mean(ATR) Measures volatility consistency
Percentile Context 15% ATR / Percentile(ATR, 50) Places volatility in historical context
Range Score 10% Current_Range / Average_Range Detects unusual bars
The Result: The indicator uses low sensitivity (fewer, more important pivots) in quiet markets, and high sensitivity (more pivots, faster response) in volatile markets (more accurate pivots = correct geometric patterns).
═════════════════════════════════════════════════════════════
✅ Seven Validation Layers — Why This Indicator Is Different
Every detected pattern passes through 7 strict tests before being displayed:
1- Geometric Structure Validation
Validates:
P1 precedes P2 precedes P3 precedes P4 chronologically
Distance between each two points ≥ minimum threshold
Pattern width (P1→P4) within allowed range
Highs and lows order is correct for the wedge type
2- True Convergence Check
A true wedge must show convergence:
├── Gap at P4 < Gap at P1
├── Convergence ratio = End_Gap / Start_Gap
└── Ratio must be < defined convergence threshold (default 75%)
3- Slope Validation
For Falling Wedge:
├── Resistance line slope < 0 (declining)
├── Support line slope < 0 (declining)
└── Resistance slope < Support slope (convergence)
For Rising Wedge:
├── Resistance line slope > 0 (rising)
├── Support line slope > 0 (rising)
└── Support slope > Resistance slope (convergence)
4- Prior Trend Filter
Reversal patterns need a prior trend to reverse from:
├── Measures price movement during a defined period before P1
├── Normalizes movement using ATR for fair comparison
├── Falling wedge requires prior downtrend
└── Rising wedge requires prior uptrend
5- Channel Respect
Normal mode (close check):
└── Every close between P1 and P4 must be within wedge boundaries
Strict mode (high/low check):
├── Every high must be below resistance line (+ tolerance)
└── Every low must be above support line (- tolerance)
6- Post-P4 Validation
After the fourth point forms:
├── For falling wedge: Price doesn't break support or drop below P4
└── For rising wedge: Price doesn't break resistance or rise above P4
7- Quality Scoring System
Quality = (Convergence_Score × 0.30) + (Slope_Score × 0.25) +
(Width_Score × 0.20) + (Trend_Score × 0.15) +
(Height_Score × 0.10)
├── Convergence Score: More convergence = higher quality
├── Slope Score: Consistency of upper and lower line slopes
├── Width Score: Patterns with 40-100 bar width are ideal
├── Trend Score: Prior trend strength
└── Height Score: Pattern height relative to ATR
═════════════════════════════════════════════════════════════
✅ Pattern Lifecycle Management
The indicator doesn't just draw and disappear — it follows the complete pattern:
Pattern detection
Post-fourth point monitoring
Breakout confirmation
Target calculation
Target achievement tracking
Success or cancellation marking
❌ Pattern is automatically cancelled if:
Breakout fails
Channel is broken in reverse direction
Waiting period exceeded
═════════════════════════════════════════════════════════════
✅ Smart Targets + Success Level
After breakout:
Target is calculated based on pattern height
3 target modes:
Conservative (0.618)
Balanced (1.0)
Aggressive (1.618)
Independent Success level to measure move strength before target
═════════════════════════════════════════════════════════════
🎨 Advanced Visual Display (3D Visualization)
Three-dimensional pattern representation
Visual depth reflecting pattern size
3D target zone
Dynamic colors upon target achievement
🎨 The purpose of 3D is not decoration
But reading the pattern visually with speed and clarity
═════════════════════════════════════════════════════════════
⚙️ Key Features
✅ Automatic wedge detection
✅ Smart filtering reduces false signals
✅ Real quality assessment for each pattern
✅ Realistic and customizable targets
✅ Full support for Rising & Falling Wedge
✅ Works on all markets and timeframes
✅ Professional design and high performance
═════════════════════════════════════════════════════════════
📊 Usage Scenarios
🟢 Scalping
Timeframes: 1–15 minutes
Quality ≥ 60
Conservative targets
🔵 Day Trading
Timeframes: 15m–1h
Quality ≥ 50
Balanced targets
🟣 Swing Trading
Timeframes: 4h–Daily
Quality ≥ 40
Strict channel
Aggressive targets
🟠 Cryptocurrencies
Strict convergence
Strict channel
Quality ≥ 65
═════════════════════════════════════════════════════════════
🔔 Alerts
Falling wedge breakout ⇒ Buy
Rising wedge breakout ⇒ Sell
Any wedge breakout
═════════════════════════════════════════════════════════════
⚠️ Disclaimer
This indicator is for educational and analytical purposes only. It does not represent financial, investment, or trading advice. Use it in conjunction with your own strategy and risk management. Neither TradingView nor the developer is responsible for any financial decisions or losses.
═════════════════════════════════════════════════════════════
🔺 Smart Wedge Pattern نموذج الوتد الذكي
Advanced & Intelligent Wedge Detection Engine
ليس مؤشرًا تقليديًا يرسم خطوط وتد فقط ، بل هو محرك (نظام) ذكي متكامل لاكتشاف وتحليل نماذج الوتد (Rising & Falling Wedge) اعتمادًا على الهندسة السعرية ، السياق السوقي ، والجودة الإحصائية للنموذج.
تم تصميم هذا المؤشر لمعالجة أكبر مشكلة في مؤشرات الوتد الشائعة:
❌ كثرة النماذج الوهمية
❌ تجاهل الاتجاه السابق
❌ عدم وجود تقييم حقيقي لجودة النموذج
نظام ذكي متكامل يجمع بين:
خوارزمية تكيفية تُعاير نفسها تلقائياً حسب ظروف السوق
7 طبقات تحقق صارمة تُصفّي الأنماط الضعيفة وتُبقي فقط الأعلى جودة
نظام تسجيل جودة يُقيّم كل نموذج من 0 إلى 100
تصور ثلاثي الأبعاد يجعل الأنماط واضحة بصرياً بشكل استثنائي
أهداف ذكية مبنية على نسب فيبوناتشي مع تتبع التحقق الآني
النتيجة:
➡️ نماذج أقل
➡️ إشارات أنظف أكثر دقة وموثوقية
➡️ جودة أعلى
➡️ استخدام عملي حقيقي
═════════════════════════════════════════════════════════════
🎯 ما هي نماذج الأوتاد؟
1- الوتد الهابط (Falling Wedge) — نموذج انعكاسي صعودي
الوتد الهابط يتشكل عندما يتحرك السعر في قناة هابطة متقاربة — أي أن خط المقاومة العلوي وخط الدعم السفلي كلاهما يهبطان، لكن خط الدعم يهبط بزاوية أقل حدة، مما يُضيّق القناة تدريجياً.
لماذا يحدث الكسر الصعودي؟
القمم الهابطة تُظهر ضغطاً بيعياً مستمراً
لكن القيعان الصاعدة (P2 < P4) تكشف أن المشترين يدخلون عند مستويات أعلى
التقارب يُشير إلى تناقص الزخم الهبوطي
عند نقطة معينة، يتغلب ضغط الشراء ويحدث الكسر
2- الوتد الصاعد (Rising Wedge) — نموذج انعكاسي هبوطي
الوتد الصاعد هو عكس الهابط تماماً — قناة صاعدة متقاربة حيث يصعد كلا الخطين، لكن خط المقاومة يصعد بزاوية أقل حدة.
لماذا يحدث الكسر الهبوطي؟
القيعان الصاعدة تُظهر ضغطاً شرائياً مستمراً
لكن القمم الهابطة (P2 > P4) تكشف أن البائعين يدخلون عند مستويات أدنى
التقارب يُشير إلى تناقص الزخم الصعودي
عند نقطة معينة، يتغلب ضغط البيع ويحدث الكسر
═════════════════════════════════════════════════════════════
🧠 نظام المحاور التكيفي — قلب المؤشر الذكي
المشكلة مع المؤشرات التقليدية
المؤشرات التقليدية تستخدم قيمة ثابتة لاكتشاف المحاور (مثل 5 شموع يسار و5 شموع يمين). هذا يعني:
في الأسواق الهادئة → إشارات كثيرة ومتأخرة
في الأسواق المتقلبة → إشارات قليلة وضائعة
لا تكيف مع طبيعة كل سوق أو إطار زمني
الحل: خوارزمية التكيف الذكي
المؤشر يحسب حساسية المحور المثلى في كل شمعة باستخدام 5 عوامل مرجحة:
النتيجة النهائية = (درجة_التقلب × 0.30) + (درجة_الاتجاه × 0.25) +
(درجة_الاستقرار × 0.20) + (السياق_المئوي × 0.15) +
(درجة_النطاق × 0.10)
العامل الوزن كيف يُحسب لماذا مهم
درجة التقلب 30% ATR(10) / ATR(50) يكشف التغير المفاجئ في التقلب
درجة الاتجاه 25% ADX(14) / 50 الأسواق الاتجاهية تحتاج حساسية مختلفة
درجة الاستقرار 20% StdDev(ATR) / Mean(ATR) يقيس ثبات التقلب
السياق المئوي 15% ATR / Percentile(ATR, 50) يضع التقلب في سياقه التاريخي
درجة النطاق 10% النطاق_الحالي / متوسط_النطاق يكشف الشموع غير العادية
النتيجة: المؤشر يستخدم حساسية منخفضة (محاور أقل، أكثر أهمية) في الأسواق الهادئة، وحساسية عالية (محاور أكثر، استجابة أسرع) في الأسواق المتقلبة (محاور أدق = نماذج هندسية صحيحة).
═════════════════════════════════════════════════════════════
✅ طبقات التحقق السبع — لماذا هذا المؤشر مختلف
كل نموذج مُكتشف يمر عبر 7 اختبارات صارمة قبل عرضه:
1- التحقق من البنية الهندسية
يتحقق من:
P1 يسبق P2 يسبق P3 يسبق P4 زمنياً
المسافة بين كل نقطتين ≥ الحد الأدنى المحدد
عرض النموذج (P1→P4) ضمن النطاق المسموح
ترتيب القمم والقيعان صحيح حسب نوع الوتد
2- فحص التقارب الحقيقي
الوتد الحقيقي يجب أن يُظهر تقارباً:
├── الفجوة عند P4 < الفجوة عند P1
├── نسبة التقارب = الفجوة_النهائية / الفجوة_الابتدائية
└── النسبة يجب أن تكون < عتبة التقارب المحددة (افتراضي 75%)
3- التحقق من الميل
للوتد الهابط:
├── ميل خط المقاومة < 0 (هابط)
├── ميل خط الدعم < 0 (هابط)
└── ميل المقاومة < ميل الدعم (تقارب)
للوتد الصاعد:
├── ميل خط المقاومة > 0 (صاعد)
├── ميل خط الدعم > 0 (صاعد)
└── ميل الدعم > ميل المقاومة (تقارب)
4- فلتر الاتجاه السابق
النماذج الانعكاسية تحتاج اتجاهاً سابقاً لتنعكس منه:
├── يقيس حركة السعر خلال فترة محددة قبل P1
├── يُطبّع الحركة باستخدام ATR لمقارنة عادلة
├── الوتد الهابط يحتاج اتجاهاً هابطاً سابقاً
└── الوتد الصاعد يحتاج اتجاهاً صاعداً سابقاً
5- احترام القناة
وضع عادي (فحص الإغلاق):
└── كل إغلاق بين P1 و P4 يجب أن يكون داخل حدود الوتد
وضع صارم (فحص القمة/القاع):
├── كل قمة يجب أن تكون تحت خط المقاومة (+ نسبة تسامح)
└── كل قاع يجب أن يكون فوق خط الدعم (- نسبة تسامح)
6- التحقق بعد P4
بعد تشكل النقطة الرابعة:
├── للوتد الهابط: السعر لا يكسر خط الدعم أو ينزل تحت P4
└── للوتد الصاعد: السعر لا يكسر خط المقاومة أو يصعد فوق P4
7- نظام تسجيل الجودة
الجودة = (درجة_التقارب × 0.30) + (درجة_الميل × 0.25) +
(درجة_العرض × 0.20) + (درجة_الاتجاه × 0.15) +
(درجة_الارتفاع × 0.10)
├── درجة التقارب: كلما زاد التقارب، زادت الجودة
├── درجة الميل: تناسق ميل الخطين العلوي والسفلي
├── درجة العرض: الأنماط بعرض 40-100 شمعة مثالية
├── درجة الاتجاه: قوة الاتجاه السابق
└── درجة الارتفاع: ارتفاع النموذج نسبة لـ ATR
═════════════════════════════════════════════════════════════
✅ إدارة دورة حياة النموذج (Pattern Lifecycle)
المؤشر لا يرسم ثم يختفي، بل يتابع النموذج كاملًا:
اكتشاف النموذج
مراقبة ما بعد النقطة الرابعة
تأكيد الاختراق
حساب الهدف
تتبع الوصول للهدف
تمييز النجاح أو الإلغاء
❌ يتم إلغاء النموذج تلقائيًا إذا:
فشل في الاختراق
كُسرت القناة عكسيًا
تجاوز مدة الانتظار المحددة
═════════════════════════════════════════════════════════════
✅ أهداف ذكية + Success Level
بعد الاختراق:
يتم حساب الهدف بناءً على ارتفاع النموذج
3 أوضاع للأهداف:
Conservative (0.618)
Balanced (1.0)
Aggressive (1.618)
مستوى Success مستقل لقياس قوة الحركة قبل الهدف
═════════════════════════════════════════════════════════════
🎨 عرض بصري متقدم (3D Visualization)
تمثيل ثلاثي الأبعاد للنموذج
عمق بصري يعكس حجم النموذج
منطقة هدف ثلاثية الأبعاد
ألوان ديناميكية عند تحقق الهدف
🎨 الهدف من 3D ليس الزينة
بل قراءة النموذج بصريًا بسرعة ووضوح
═════════════════════════════════════════════════════════════
⚙️ أهم المميزات
✅ اكتشاف تلقائي للأوتاد
✅ فلترة ذكية تقلل الإشارات الوهمية
✅ تقييم جودة حقيقي لكل نموذج
✅ أهداف واقعية وقابلة للتخصيص
✅ دعم كامل لـ Rising & Falling Wedge
✅ يعمل على جميع الأسواق والفريمات
✅ تصميم احترافي وأداء عالي
═════════════════════════════════════════════════════════════
📊 سيناريوهات الاستخدام
🟢 المضاربة السريعة
أطر: 1–15 دقيقة
جودة ≥ 60
أهداف محافظة
🔵 التداول اليومي
أطر: 15د–1س
جودة ≥ 50
أهداف متوازنة
🟣 التداول المتأرجح
أطر: 4س–يومي
جودة ≥ 40
قناة صارمة
أهداف عدوانية
🟠 العملات الرقمية
تقارب صارم
قناة صارمة
جودة ≥ 65
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🔔 التنبيهات
كسر وتد هابط ⇒ شراء
كسر وتد صاعد ⇒ بيع
أي كسر وتد
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⚠️ إخلاء المسؤولية
هذا المؤشر لأغراض تعليمية وتحليلية فقط. لا يُمثل نصيحة مالية أو استثمارية أو تداولية. استخدمه بالتزامن مع استراتيجيتك الخاصة وإدارة المخاطر. لا يتحمل TradingView ولا المطور مسؤولية أي قرارات مالية أو خسائر.
My Swift-like Algo ALIMOJANIDSwift Algo Chart is a trend-following trading indicator designed to provide clear bias, precise entries, and visual risk management.
It combines EMA trend direction, pullback-based signals, market structure (HH/HL/LH/LL), and ATR-based Stop Loss & Take Profit levels to help traders make disciplined decisions.
🔑 Key Features
Trend Regime Detection
Identifies LONG, SHORT, or NO TRADE conditions using Fast & Slow EMAs.
Pullback Entry Signals
Signals appear only in the direction of the active trend, with optional RSI confirmation.
ATR-Based Risk Levels
Automatically plots SL, TP1, and TP2, including exact price values on the chart.
Preview Levels
Shows projected SL/TP levels when a trend is active, even before an entry.
Market Structure Visualization
Marks HH / HL / LH / LL, draws structure lines, and highlights BOS and CHOCH.
Clean & Non-Repainting Logic
Uses confirmed pivots and closed candles for stability.
Strategy-Compatible
Can be used for discretionary trading or full strategy backtesting.
🧠 Best Used For
Crypto, Forex, Indices
15m to 4H timeframes
Traders who want structure + trend + risk clarity in one tool
