ADAPTIVE SCALP MASTERADAPTIVE SCALP MASTER (ASM)
Overview
ADAPTIVE SCALP MASTER (ASM) is a high-performance technical analysis tool specifically engineered for scalpers and day traders. It combines statistical volatility analysis with a unique time-frame adaptation engine, allowing the script to automatically recalibrate its sensitivity whether you are trading the 1-minute chart or the 4-hour trend.
The core logic is based on Z-Score Mean Reversion coupled with Zero-Lag Least Squares Moving Average (ZLSMA) for trend filtering, ensuring that you enter trades only when momentum and statistical overextension align.
Key Features
Timeframe Adaptation Engine: ASM automatically adjusts its Z-Score lengths, thresholds, and ATR multipliers based on your current chart. It tightens parameters for high-frequency scalping (M1-M5) and widens them for higher timeframes to filter out market noise.
Z-Score Mean Reversion: Utilizes statistical standard deviation to identify overbought and oversold conditions with precision.
Zero-Lag Trend Filtering: Features a customized ZLSMA to provide a smooth, reactive trend baseline without the lag of traditional MAs.
Smart Risk Management: Automatically calculates dynamic Stop Loss and Take Profit levels based on current ATR volatility.
Aggressive Scalping Mode: A specialized toggle for experienced traders that maximizes signal frequency by loosening standard confirmation filters.
How It Works
Normalization: The indicator calculates the price deviation (Z-Score).
Adaptive Thresholds: It checks if the price has reached a statistically significant extreme (Overbought/Oversold).
Multi-Stage Filtering:
Trend Filter: Signals must align with the ZLSMA direction (optional).
Volume Filter: Requires a surge in volume to confirm the move (optional).
Candle Confirmation: Requires price action to flip in the signal's direction before firing.
Execution: Once all conditions are met, the script plots entry shapes and dynamic risk levels.
Settings Guide
Aggressive Mode: Use this for fast-paced scalping on M1. It disables the trend and volume filters to capture every micro-reversal.
Base Sensitivity: Controls how far back the Z-Score looks. Default is 10. Lower values make the indicator more reactive.
Base Threshold: Standard is 1.5. Increase this value (e.g., to 2.0) if you want fewer, higher-probability signals.
Min Bars Between: Use this to prevent "signal clustering" during periods of high volatility.
User Interface
The Info Panel provides real-time data including:
Current Market Bias (Trend direction).
Live Z-Score value.
Current ATR-based volatility status.
Trade Signal confirmation status.
Indicateurs et stratégies
USDT + USDC DominanceUSDT + USDC Dominance
USDT/USDC Dominance Indicator
This indicator measures the relative dominance of USDT and USDC on the market. It calculates the share of each stablecoin compared to the total of the two, and displays it as a percentage.
USDT Dominance (%) = (USDT value / (USDT value + USDC value)) × 100
USDC Dominance (%) = 100 − USDT Dominance
The indicator plots both dominance values on the chart, allowing you to see which stablecoin has a higher share at any given time. It can help identify shifts in market preference between USDT and USDC.
Optional features:
Horizontal 50% line for reference.
Highlight when USDT or USDC exceeds 50% dominance.
Works with price or market capitalization data depending on available data sources.
stelaraX - Williams %RstelaraX – Williams %R
stelaraX – Williams %R is a momentum oscillator designed to identify overbought and oversold market conditions. It measures the position of the current close relative to the highest high and lowest low over a defined lookback period and reacts quickly to changes in market momentum.
This indicator is part of the stelaraX ecosystem, focused on clean technical analysis and AI-supported chart evaluation
stelarax.com
Core logic
Williams %R is calculated over a user-defined period and oscillates between 0 and -100.
Key characteristics include:
* values near 0 indicate overbought conditions
* values near -100 indicate oversold conditions
* the -50 level acts as a momentum midpoint
When Williams %R moves above the overbought threshold, bullish momentum may be stretched. When it moves below the oversold threshold, bearish momentum may be stretched.
Visualization
The script plots:
* the Williams %R line in a separate indicator pane
* a configurable overbought level
* a configurable oversold level
* a midline at -50 for directional context
The area between the overbought and oversold levels is visually highlighted, making extreme momentum conditions easy to identify.
Use case
This indicator is intended for:
* identifying overbought and oversold market conditions
* spotting potential momentum reversals
* confirming short-term trend exhaustion
* divergence analysis between price and momentum
* timing entries and exits in ranging or trending markets
For traders who want to combine classical oscillators with modern AI-driven chart analysis, additional tools and insights are available at stelarax.com
Disclaimer
This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
Livelli Psicologici tondi/mezzi tondi/ quartiliLivelli Psicologici tondi/mezzi tondi/ quartili
//Gabbo
Benner Cycle Map (A/B/C)Benner Cycle Map (A/B/C Years) + Macro Events • Educational Overlay
Description:
This script is an educational overlay that visualizes the classic Benner Cycle “A/B/C” year map (as presented on the historical Benner card) and optionally plots a curated set of major macro/market events (e.g., 1929 Crash, 9/11, Lehman, COVID) for historical context.
⚠️ Important: This indicator is NOT a trading strategy, does NOT generate buy/sell signals, and does NOT predict future market outcomes. It should not be used as financial advice.
What it shows:
A years (Panic)
B years (Good Times / Sell years)
C years (Hard Times / Buy/Accumulate years)
Optional Macro Events Overlay (context markers only)
Key features
Dynamic rebuild on zoom/pan (keeps labels aligned with the visible range)
Full customization: label position (Top/Center/Bottom), colors, opacity, sizes
Multiple label formats: horizontal, stacked, or vertical-styled (simulated via line breaks)
Background regime shading with selectable overlap priority
Two on-chart panels: Legend + Current Year Status
How to use (educational use-case)
Use this overlay to study historical clustering of the mapped years against price behavior and major events. It’s best viewed on higher timeframes (weekly/monthly) to reduce clutter.
Disclaimer
Markets are complex and influenced by countless variables. The Benner cycle map and the event markers shown here are provided for learning and visualization only. Past patterns do not guarantee future results. Always do your own research and risk management.
3-Candle Swing + Rejectionplotshape(swingHigh, title="Swing High", style=shape.triangleup, location=location.abovebar, color=color.red, size=size.tiny, offset=-1)
plotshape(swingLow, title="Swing Low", style=shape.triang
Forward Path (ATR Drift) + Confidence [v6]This indicator helps traders visualize where price is statistically likely to travel, how wide the uncertainty is, and how confident history has been in similar conditions — all without claiming to “predict” the market.
What this indicator does
This indicator projects a probable future price path for the next 15 / 20 / 30 candles on any chart and timeframe.
It combines:
Trend direction (EMA slope)
Volatility (ATR)
Historical behavior in similar market conditions
to show where price is likely to travel and how confident that expectation is.
What you see on the chart
Solid forward line
→ The most likely price path based on current trend momentum.
Dotted upper & lower lines
→ Expected price range using current volatility (ATR).
Think of this as the probable zone, not a target.
Confidence label
Prob Up (%) – how often price moved higher after N candles in similar conditions
Prob Down (%) – how often price moved lower
These are historical probabilities, not predictions.
How to use it (simple & practical)
1️⃣ Directional bias
If the projected path slopes up and Prob Up > 60%, the market favors longs.
If the path slopes down and Prob Down > 60%, the market favors shorts.
Near 50/50 → no edge, wait for structure or confirmation.
2️⃣ Expectation setting
Use the projection length (15 / 20 / 30 bars) to match your trade horizon.
Don’t expect price to exceed the dotted bands easily — they represent normal volatility.
3️⃣ Risk & trade management
Entries near the base path = better risk-reward.
Use the opposite band as a guide for:
Stop placement
Partial profit booking
Wide bands = reduce position size.
4️⃣ Trade filtering
Take trades only when your setup aligns with the projected direction.
Skip trades when:
Probability is low
Bands are extremely wide
Projection is flat (range-bound market)
Best use cases
Swing trading
Trade planning before entry
Position sizing & expectation control
Avoiding low-edge, random trades
What this indicator is NOT
❌ A price predictor
❌ A buy/sell signal generator
❌ A replacement for price action
It is a decision-support tool designed to visualize direction, uncertainty, and historical confidence.
EMA + Ichimoku with LabelsSai and Deb - Levels marked with Exponential moving average of 9,20, 50 and 200 along with Ichimoku concept of kijunsen and SSB.
Vertical Event Lines - BTC Halving & Custom DatesThis indicator plots vertical lines and labels for Bitcoin halving dates and any custom events you define directly on the price chart.
It is designed as a clean, lightweight event-timeline overlay so you can instantly see where key dates occur relative to price action.
Main features
Built-in Bitcoin halving dates (2012, 2016, 2020, 2024), plus 8 additional custom event slots with freely configurable date/time, name and color.
Vertical lines are positioned using xloc.bar_time , ensuring each event is anchored to the exact timestamp in the chart’s timeframe and timezone.
Past and current events:
A label is created once, on the first bar that crosses the event time, and placed near the bar’s high for consistent readability across symbols and timeframes.
Future events:
A separate label is shown at the bottom of the chart, making future dates clearly visible even to the right of the last bar. These labels update only on the most recent bar to keep the script efficient.
Flexible styling:
Global controls for line width, line style and label size, with per-event color selection and optional per-event overrides of global width and style.
How to use
Add the script to any chart (BTC or other symbols). It works on all timeframes.
Use the Global settings to configure default line style, line width and label appearance (size, orientation, text color).
In each Event X section, enable the event and set:
Date/time in YYYY-MM-DD HH:MM format
Event name
Color
Optional custom width/style
When scrolling through time:
Events left of the last bar show a vertical line and a one-time label at the crossing bar.
Events right of the last bar show a vertical line and a bottom label that remains visible in the future.
This script is intended as a visual reference tool only .
It does not generate trading signals, alerts or backtests.
Supertrend with VWAP FilterThe Logic Breakdown
VWAP Integration: Added a standard VWAP calculation.
Filtering: The Supertrend "Buy" signal only triggers if close > vwap.
Dynamic Coloring: If the Supertrend says "up" but price is below VWAP, the line turns gray.
Candle Highlights: I added logic for Bullish/Bearish Engulfing and Dojis. These will highlight the bar color specifically when they align with your VWAP-filtered trend.
Strong Impulse Indicator 1mA strong price impulse indicator with alerts.
This indicator detects price impulses over time and sends an alert, allowing you to identify strong sellers or strong buyers.
HVN Boundary Assist FRVP + ATR Tempo Auto TF Defaults (LOCKED)This indicator is a structure-assist tool, not a signal generator. It is designed to standardize High-Volume Node (HVN) boundary placement and evaluation when using TradingView’s Fixed Range Volume Profile (FRVP) on weekly and monthly timeframes.
The script does not attempt to discover HVNs automatically. The trader selects the HVN visually using FRVP and inputs the HVN center (effective VPOC). From there, the script applies consistent, rules-based logic to define boundaries, track interaction, and prevent lower-timeframe levels from conflicting with higher-timeframe structure.
What the indicator does
1. Standardizes HVN boundary placement
Using the active timeframe’s ATR, the indicator identifies the first candle that regains tempo on each side of the HVN center.
A valid boundary requires:
A bar range ≥ a fixed fraction of ATR
A close that breaks prior rotational overlap
The close of that candle becomes the candidate HVN high or low. Wicks are ignored for structure.
2. Automatically adapts to timeframe
The indicator enforces locked system defaults:
Weekly: 0.33 ATR expansion, 10-bar overlap lookback
Monthly: 0.25 ATR expansion, 8-bar overlap lookback
These values adjust automatically based on chart timeframe, eliminating discretionary tuning.
3. Tracks retests without redefining structure
HVN interaction is tracked via wick touches within a tight ATR-based tolerance.
Retests are informational only and never move boundaries. This captures recognition and rejection behavior without violating close-based structure rules.
4. Ranks HVN strength (0–3)
Each HVN is scored using:
Tightness relative to ATR
Relative volume confirmation
Presence of at least one retest
This produces a simple, comparable strength ranking without overfitting.
5. Enforces clean monthly → weekly nesting
An optional monthly gate restricts weekly logic to operate only inside a defined monthly HVN.
If conflicts arise, monthly structure always overrides weekly, preventing level overlap and structural ambiguity.
What the indicator does NOT do
It does not read FRVP data (TradingView limitation)
It does not auto-detect HVNs
It does not generate trade signals
It exists to remove subjectivity and inconsistency from HVN boundary placement and evaluation.
Intended use
Apply FRVP and visually identify the HVN
Enter the HVN center price into the indicator
Let the script define precise boundaries and interaction metrics
Use monthly HVNs as structural rails and weekly HVNs for execution
Design philosophy
Structure is defined by closes and volatility, not wicks
Retests measure recognition, not acceptance
Higher timeframe structure always dominates
This tool enforces those rules mechanically so the trader doesn’t have to.
XAMD - cycles shows a table of active amd phases saves the trouble of having to look through htfs and you just see a table of them all
stelaraX - MACDstelaraX – MACD
stelaraX – MACD is a classic momentum and trend-following indicator based on the relationship between two exponential moving averages. It is designed to visualize trend direction, momentum strength, and potential reversal points in a clear and uncluttered way.
This indicator is part of the stelaraX ecosystem, focused on clean technical analysis and AI-supported chart evaluation.
stelarax.com
Core logic
The MACD is calculated using three user-defined parameters:
* fast moving average period
* slow moving average period
* signal line smoothing period
The indicator consists of:
* the MACD line, calculated as the difference between the fast and slow EMA
* the signal line, which is an EMA of the MACD line
* the histogram, representing the difference between MACD and signal line
Momentum increases when the histogram expands and decreases when it contracts. Crossovers between the MACD line and the signal line highlight potential trend shifts.
Visualization
The script plots:
* the MACD line
* the signal line
* a color-coded histogram
Histogram bars adapt their color dynamically:
* green tones for positive momentum
* red tones for negative momentum
* brighter colors when momentum is increasing
* softer colors when momentum is weakening
A zero baseline is plotted to clearly separate bullish and bearish momentum phases.
Use case
This indicator is intended for:
* momentum and trend analysis
* identifying trend continuation and exhaustion
* confirming price action and breakout signals
* divergence observation between price and momentum
For traders looking to combine classical indicators with modern AI-driven chart analysis, additional tools are available at stelarax.com
Disclaimer
This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
Auto-DCF and Margin of Safety SetupDescription
Overview This indicator provides a dual-layered approach to stock valuation by combining a Discounted Cash Flow (DCF) model with Technical Momentum filters. It is designed for investors who seek to align fundamental "Fair Value" with high-probability technical entry points.
How It Works The script automates the valuation process by fetching real-time financial data directly from TradingView’s database.
Fundamental Valuation (DCF):
FCF Projections: It retrieves Free Cash Flow (TTM) and Total Shares Outstanding to calculate FCF per share.
Growth & Discounting: It projects FCF forward for 10 years based on your "Expected Annual Growth Rate" and discounts those values back to the present using the "Discount Rate" (WACC).
Terminal Value: A terminal value is calculated using a exit multiple (P/FCF) at Year 10 to account for the company's value beyond the projection period.
Intrinsic Value: The sum of all discounted cash flows and the terminal value represents the Intrinsic (Fair) Value, plotted as gray circles.
Margin of Safety (MoS):
A "Buy Limit" line (green) is plotted at a user-defined percentage below the Intrinsic Value. This represents the "Margin of Safety" popularized by Benjamin Graham to account for errors in estimation.
Technical Filters (The "Buy Setup"):
A visual Buy Zone appears only when three conditions align:
Value: Price is trading below the Margin of Safety.
Momentum: The RSI is in "Oversold" territory (default < 35).
Price Action: The stock is in a "Deep Pullback" (defined as a 15% drop from its 50-bar high).
How to Use
Settings: You must adjust the Growth Rate and Discount Rate based on the specific company’s historical performance and risk profile.
Visuals: When a setup occurs, the script draws a green box, a technical Stop Loss (based on a buffer below the low), and a Tech Target (a 50% retracement of the recent drop).
Limitations: This script requires request.financial data. It is intended for Stocks only. If no financial data is available for a ticker (e.g., Crypto or Forex), an error label will appear.
Disclaimer This script is for educational purposes only and does not constitute financial advice. DCF models are highly sensitive to input variables; small changes in growth or discount rates can significantly alter the Fair Value.
btall//@version=5
strategy("AR | AlphaEdge Pro (No-Repaint) v1.0",
overlay=true,
initial_capital=100000,
commission_type=strategy.commission.percent,
commission_value=0.04,
slippage=1,
pyramiding=0,
calc_on_order_fills=true,
calc_on_every_tick=false,
process_orders_on_close=true)
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// Inputs
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
grp1 = "Trend + Signals"
useHTF = input.bool(true, "Use Higher TF Trend Filter", group=grp1)
htf = input.timeframe("240", "Higher Timeframe", group=grp1)
htfEmaLen = input.int(200, "HTF EMA Length", minval=1, group=grp1)
emaFastLen = input.int(21, "Fast EMA", minval=1, group=grp1)
emaSlowLen = input.int(55, "Slow EMA", minval=1, group=grp1)
stAtrLen = input.int(10, "Supertrend ATR Length", minval=1, group=grp1)
stFactor = input.float(3.0, "Supertrend Factor", minval=0.1, step=0.1, group=grp1)
rsiLen = input.int(14, "RSI Length", minval=1, group=grp1)
rsiBull = input.int(52, "RSI Bull Threshold", minval=1, maxval=99, group=grp1)
rsiBear = input.int(48, "RSI Bear Threshold", minval=1, maxval=99, group=grp1)
useVolFilter = input.bool(true, "Use Volume Filter", group=grp1)
volLen = input.int(20, "Volume SMA Length", minval=1, group=grp1)
volMult = input.float(1.2, "Volume Multiplier", minval=0.1, step=0.1, group=grp1)
grp2 = "Risk Management (ATR)"
atrLen = input.int(14, "ATR Length", minval=1, group=grp2)
slAtrMult = input.float(1.6, "Stop = ATR x", minval=0.1, step=0.1, group=grp2)
rr = input.float(2.0, "Risk:Reward (TP)", minval=0.1, step=0.1, group=grp2)
useRiskPct = input.bool(true, "Dynamic Position Size by Risk %", group=grp2)
riskPct = input.float(1.0, "Risk % of Equity per Trade", minval=0.05, step=0.05, group=grp2)
maxPosPct = input.float(20.0, "Max Position % of Equity Cap", minval=1.0, step=1.0, group=grp2)
grp3 = "Breakeven + Session"
useBE = input.bool(true, "Move Stop to Breakeven", group=grp3)
beTriggerATR = input.float(1.0, "Trigger After +ATR x", minval=0.1, step=0.1, group=grp3)
beOffsetATR = input.float(0.05, "BE Offset (ATR x)", minval=0.0, step=0.01, group=grp3)
useSession = input.bool(false, "Trade Only in Session", group=grp3)
sess = input.session("1000-1500", "Session (exchange time)", group=grp3)
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// Helper / Filters
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
inSession = not useSession or not na(time(timeframe.period, sess))
emaFast = ta.ema(close, emaFastLen)
emaSlow = ta.ema(close, emaSlowLen)
rsi = ta.rsi(close, rsiLen)
atr = ta.atr(atrLen)
volOk = not useVolFilter or (volume > ta.sma(volume, volLen) * volMult)
// Supertrend
= ta.supertrend(stFactor, stAtrLen) // stDir: 1 bullish, -1 bearish (TradingView behavior)
stBull = stDir == 1
stBear = stDir == -1
// HTF trend (lookahead_off to reduce repaint risk on historical vs realtime behavior)
htfEma = request.security(syminfo.tickerid, htf, ta.ema(close, htfEmaLen), barmerge.gaps_off, barmerge.lookahead_off)
htfBull = close >= htfEma
htfBear = close <= htfEma
trendOkLong = not useHTF or htfBull
trendOkShort = not useHTF or htfBear
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// Entry Conditions (confirmed bar to avoid “intrabar” surprises)
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
longSignal = barstate.isconfirmed and inSession and trendOkLong and stBull and close > emaFast and emaFast > emaSlow and rsi >= rsiBull and volOk
shortSignal = barstate.isconfirmed and inSession and trendOkShort and stBear and close < emaFast and emaFast < emaSlow and rsi <= rsiBear and volOk
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// Position sizing by ATR stop distance (approx; works best on stocks/spot)
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
f_posQty(_stopDist) =>
// Risk capital = equity * riskPct%
riskCapital = strategy.equity * (riskPct / 100.0)
// Qty to risk roughly riskCapital if stop hits
rawQty = _stopDist > 0 ? (riskCapital / _stopDist) : 0.0
// Cap position size by maxPosPct% of equity
maxPositionValue = strategy.equity * (maxPosPct / 100.0)
maxQty = close > 0 ? (maxPositionValue / close) : rawQty
qty = math.max(0.0, math.min(rawQty, maxQty))
qty
stopDist = atr * slAtrMult
qty = useRiskPct ? f_posQty(stopDist) : na
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// Entries
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
if (longSignal and strategy.position_size <= 0)
strategy.entry("L", strategy.long, qty=useRiskPct ? qty : na)
if (shortSignal and strategy.position_size >= 0)
strategy.entry("S", strategy.short, qty=useRiskPct ? qty : na)
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// Exits (ATR SL/TP + optional Breakeven)
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
isLong = strategy.position_size > 0
isShort = strategy.position_size < 0
entry = strategy.position_avg_price
longSL = entry - stopDist
longTP = entry + stopDist * rr
shortSL = entry + stopDist
shortTP = entry - stopDist * rr
// Breakeven logic
beTrig = atr * beTriggerATR
beOff = atr * beOffsetATR
if isLong and useBE
// if price moved in our favor enough -> raise stop to entry (+offset)
if (close - entry) >= beTrig
longSL := math.max(longSL, entry + beOff)
if isShort and useBE
if (entry - close) >= beTrig
shortSL := math.min(shortSL, entry - beOff)
// Submit exits every bar so they update dynamically
strategy.exit("XL", from_entry="L", stop=longSL, limit=longTP, when=isLong)
strategy.exit("XS", from_entry="S", stop=shortSL, limit=shortTP, when=isShort)
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// Visuals + Alerts
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
plot(emaFast, "EMA Fast", linewidth=2)
plot(emaSlow, "EMA Slow", linewidth=2)
plot(stLine, "Supertrend", linewidth=2)
plot(useHTF ? htfEma : na, "HTF EMA", linewidth=2)
plotshape(longSignal, title="Long Signal", style=shape.triangleup, location=location.belowbar, size=size.tiny, text="L")
plotshape(shortSignal, title="Short Signal", style=shape.triangledown, location=location.abovebar, size=size.tiny, text="S")
alertcondition(longSignal, title="AlphaEdge Long", message="AlphaEdge LONG on {{ticker}} @ {{close}}")
alertcondition(shortSignal, title="AlphaEdge Short", message="AlphaEdge SHORT on {{ticker}} @ {{close}}")
Strat + 50% Rule TheSTRAT, a niche yet popular trading strategy, was developed by Rob Smith over his 30-year career in the financial markets. The method is praised for its objectivity and systematic approach, while its complexity and unique perspective make it less widely understood. TheSTRAT is a multi-timeframe strategy that focuses on three primary components: Inside Bars, Directional Bars, and Outside Bars. The approach also emphasizes several key principles, including Full Time Frame Continuity, Broadening Formations, and the significance of Inside Bars. With the indicator you will see the numbers on the Bars, you will see the Previous day, week, month Highs and Lows. You will see the table displaying the lastest Strat Bars as well as the 50% rule retracement... If above the previous week 50% the dot will turn green and viceversa if the opposite is true.
stelaraX - Moving Average MultistelaraX – Multi MA
stelaraX – Multi MA is a flexible moving average indicator that allows the use of up to four independently configurable moving averages on a single chart. Each moving average can be customized by type, length, source, color, and line width, making the indicator suitable for a wide range of trading styles and timeframes.
The indicator is designed to provide a clear overview of trend direction, dynamic support and resistance, and moving average interactions.
Core logic
The script supports multiple moving average calculation methods:
* Simple Moving Average (SMA)
* Exponential Moving Average (EMA)
* Weighted Moving Average (WMA)
* Hull Moving Average (HMA)
* Volume Weighted Moving Average (VWMA)
* Running Moving Average (RMA)
Each of the four moving averages can be enabled or disabled individually and calculated from any price source.
Crossover signals
The indicator can generate crossover signals between any two selected moving averages:
* bullish crossover when the fast MA crosses above the slow MA
* bearish crossover when the fast MA crosses below the slow MA
Crossover signals are displayed directly on the chart using directional markers and can be enabled or disabled as needed.
MA cloud
An optional moving average cloud can be displayed between two selected moving averages:
* bullish cloud when the faster MA is above the slower MA
* bearish cloud when the faster MA is below the slower MA
Cloud colors and transparency are fully customizable.
Visualization
The indicator plots up to four moving average lines directly on the chart.
Additional visual features include:
* optional MA crossover markers
* optional moving average cloud
* optional bar coloring based on price position relative to selected moving averages
Bar colors reflect basic trend conditions when price is above or below selected averages.
Alerts
Alert conditions are available for:
* bullish and bearish moving average crossovers
* price crossing above or below selected moving averages
* price crossing above or below the long-term moving average
Alerts trigger only on confirmed crossover conditions.
Use case
This indicator is intended for:
* trend identification and confirmation
* moving average crossover strategies
* dynamic support and resistance analysis
* multi-timeframe trend alignment
* general market structure visualization
Disclaimer
This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
Aroon🎯Overview
Aroon → is a beautifully visualized trend detection indicator that measures the strength and direction of market trends using the Aroon oscillator. It provides clear signals for identifying trend beginnings, strength, and potential reversals.
Key Features
📊 Dual Component Analysis
Aroon Up: Measures time since highest high within the specified period
Aroon Down: Measures time since lowest low within the specified period
Aroon Average: The difference between Aroon Up and Aroon Down (oscillator)
🎨 Customizable Visualization
5 Color Themes: Choose from Classic, Modern, Robust, Accented, or Monochrome
Visual Fill Areas: Color-coded overbought/oversold zones
Clear Labels: Direct labeling of both Aroon lines for easy reading
📈 Trend Detection System
Cross Signals: Bullish when Aroon Up crosses above Aroon Down
Bearish Signals: Bearish when Aroon Up crosses below Aroon Down
Trend Strength: The spread between lines indicates trend strength
How It Works
Indicator Logic
Aroon Up = × 100
Aroon Down = × 100
Aroon Average = Aroon Up - Aroon Down (oscillator between -100 and +100)
Trend Signals: Generated when the two lines cross
Interpretation Guidelines
Strong Uptrend: Aroon Up near 100, Aroon Down near 0
Strong Downtrend: Aroon Down near 100, Aroon Up near 0
Consolidation: Both lines moving together below 50
Trend Beginning: Lines diverging after being close together
Trend Reversal: Lines crossing each other
Display Options
Visual Components
Aroon Lines (optional): Show individual Up/Down lines
Aroon Average (optional): Show the oscillator with fill zones
Background Highlights: Color background on crossover signals
Summary Table: Large text showing current trend direction
Color Themes
Classic: Green/Red (traditional)
Modern: Teal/Purple (contemporary)
Robust: Gold/Burgundy (bold)
Accented: Purple/Pink (vibrant)
Monochrome: Gray/Charcoal (subdued)
Trading Applications
Entry Signals
Long Entry: Aroon Up crosses above Aroon Down
Short Entry: Aroon Up crosses below Aroon Down
Trend Confirmation: Use with price action for validation
Trend Analysis
Trend Strength: Distance between lines indicates momentum
Trend Maturity: Line levels show how old the trend is
Range Identification: Both lines low indicates consolidation
Customization Settings
Aroon Configuration
Length: Default 6 periods (adjustable)
Show Lines: Toggle Aroon Up/Down lines
Show Average: Toggle Aroon oscillator display
Color Theme: Choose from 5 visual styles
Alert System
Cross Alerts: Notifications for bullish/bearish crossovers
Custom Messages: Includes ticker symbol in alert messages
Benefits for Traders
📊 Clear Trend Identification
Visual representation of trend strength and direction
Easy-to-spot crossovers for potential entries
Multiple display options for different trading styles
🎯 Versatile Application
Works on all timeframes
Suitable for all markets (stocks, forex, crypto)
Can be combined with other indicators for confirmation
⚡ Practical Features
Real-time alerts for crossovers
Clean, uncluttered visualization
Customizable to match your chart aesthetics
Large trend direction display for quick assessment
Perfect for trend-following traders who want a clear, visual indicator that identifies both trend direction and strength without complex calculations. The Aroon indicator is particularly effective at spotting new trends early and identifying when trends are weakening or reversing.
Tradovate Trades Overlay (CSV Import)This indicator, is a tool to visualize the past trades from a tradovate .csv file format in TradingView. A python code is commented in the file, which converts the .csv file into a format that TradingView can import. (for more details please read the header of the indicator)
