First H4 Window Box with PanelThis indicator will explain in detail about the characterstics of first hour open in Gold
图表形态
ALMA HẰNG DIỄM//@version=5
indicator("ALMA Đa khung thời gian", overlay=true)
// Hàm ALMA tùy chỉnh
f_alma(src, len, offset, sigma) =>
m = math.floor(offset * (len - 1))
s = len > 1 ? len - 1 : 1
norm = 0.0
sum = 0.0
for i = 0 to len - 1
w = math.exp(-(math.pow(i - m, 2)) / (2 * math.pow(sigma, 2)))
norm := norm + w
sum := sum + src * w
sum / norm
// Tham số người dùng
alma_len_short = input.int(9, title="Chu kỳ ngắn")
alma_len_long = input.int(50, title="Chu kỳ dài")
alma_offset = input.float(0.85, title="Offset")
alma_sigma = input.float(6.0, title="Sigma")
// ALMA hiện tại (khung đang xem)
alma_short = f_alma(close, alma_len_short, alma_offset, alma_sigma)
alma_long = f_alma(close, alma_len_long, alma_offset, alma_sigma)
// ALMA khung D1
alma_d1_short = request.security(syminfo.tickerid, "D", f_alma(close, alma_len_short, alma_offset, alma_sigma))
alma_d1_long = request.security(syminfo.tickerid, "D", f_alma(close, alma_len_long, alma_offset, alma_sigma))
// ALMA khung W1
alma_w1_short = request.security(syminfo.tickerid, "W", f_alma(close, alma_len_short, alma_offset, alma_sigma))
alma_w1_long = request.security(syminfo.tickerid, "W", f_alma(close, alma_len_long, alma_offset, alma_sigma))
// Vẽ biểu đồ
plot(alma_short, color=color.orange, title="ALMA Ngắn (Hiện tại)")
plot(alma_long, color=color.blue, title="ALMA Dài (Hiện tại)")
plot(alma_d1_short, color=color.green, title="ALMA Ngắn (D1)", linewidth=1)
plot(alma_d1_long, color=color.red, title="ALMA Dài (D1)", linewidth=1)
plot(alma_w1_short, color=color.purple, title="ALMA Ngắn (W1)", linewidth=1)
plot(alma_w1_long, color=color.gray, title="ALMA Dài (W1)", linewidth=1)
// Chênh lệch ALMA hiện tại
plot(alma_short - alma_long, title="Chênh lệch ALMA", color=color.fuchsia, style=plot.style_columns)
ALMA HẰNG DIỄM @//@version=5
indicator("ALMA Đa khung thời gian", overlay=true)
// Hàm ALMA tùy chỉnh
f_alma(src, len, offset, sigma) =>
m = math.floor(offset * (len - 1))
s = len > 1 ? len - 1 : 1
norm = 0.0
sum = 0.0
for i = 0 to len - 1
w = math.exp(-(math.pow(i - m, 2)) / (2 * math.pow(sigma, 2)))
norm := norm + w
sum := sum + src * w
sum / norm
// Tham số người dùng
alma_len_short = input.int(9, title="Chu kỳ ngắn")
alma_len_long = input.int(50, title="Chu kỳ dài")
alma_offset = input.float(0.85, title="Offset")
alma_sigma = input.float(6.0, title="Sigma")
// ALMA hiện tại (khung đang xem)
alma_short = f_alma(close, alma_len_short, alma_offset, alma_sigma)
alma_long = f_alma(close, alma_len_long, alma_offset, alma_sigma)
// ALMA khung D1
alma_d1_short = request.security(syminfo.tickerid, "D", f_alma(close, alma_len_short, alma_offset, alma_sigma))
alma_d1_long = request.security(syminfo.tickerid, "D", f_alma(close, alma_len_long, alma_offset, alma_sigma))
// ALMA khung W1
alma_w1_short = request.security(syminfo.tickerid, "W", f_alma(close, alma_len_short, alma_offset, alma_sigma))
alma_w1_long = request.security(syminfo.tickerid, "W", f_alma(close, alma_len_long, alma_offset, alma_sigma))
// Vẽ biểu đồ
plot(alma_short, color=color.orange, title="ALMA Ngắn (Hiện tại)")
plot(alma_long, color=color.blue, title="ALMA Dài (Hiện tại)")
plot(alma_d1_short, color=color.green, title="ALMA Ngắn (D1)", linewidth=1)
plot(alma_d1_long, color=color.red, title="ALMA Dài (D1)", linewidth=1)
plot(alma_w1_short, color=color.purple, title="ALMA Ngắn (W1)", linewidth=1)
plot(alma_w1_long, color=color.gray, title="ALMA Dài (W1)", linewidth=1)
// Chênh lệch ALMA hiện tại
plot(alma_short - alma_long, title="Chênh lệch ALMA", color=color.fuchsia, style=plot.style_columns)
Weinstein Stage Analyzer — Table Only (more padding)What it does
This indicator applies Stan Weinstein’s Stage Analysis (Stages 1–4) and presents the result in a clean, compact table only—no lines, labels, or overlays. It shows:
• Previous Stage
• Current Stage (with Early / Mature / Late tag)
• Duration (how long price has been in the current stage, in HTF bars)
• Sentiment (Bullish / Bearish / Balanced / Cautious, derived from stage & maturity)
Timeframe-aware logic
• Weekly charts: classic 30-period MA (Weinstein’s original 30-week concept).
• Daily & Intraday: computed on Daily 150 as a practical daily translation of the 30-week idea.
• Monthly: ~7-period MA (~30 weeks ≈ 7 months).
The stage classification itself is evaluated on this HTF context and then displayed on your active chart.
EMA/SMA toggle
Choose EMA (default) or SMA for the trend line used in stage detection.
How stages are decided (practical rules)
• Stage 2 (Advance): MA rising with price above an upper band.
• Stage 4 (Decline): MA falling with price below a lower band.
• Flat MA zones become Stage 1 (Base) or Stage 3 (Top) depending on the prior trend.
“Maturity” tags (Early/Mature/Late) come from run length and extension beyond the band.
Inputs you can tweak
• MA Type: EMA / SMA
• Price Band (±%) and Slope Threshold to tighten/loosen stage flips
• Maturity thresholds: min/max bars & late-extension %
Notes
• Duration is for the entire current stage (e.g., total time in Stage 4), not just the maturity slice.
• A Top Padding Rows input is included to nudge the table lower if it overlaps your OHLC readout.
Disclaimer
For educational use only. Not financial advice. Always confirm with your own analysis, risk management, and market context.
NX - ICT PD ArraysThis Pine Script indicator identifies and visualizes Fair Value Gaps (FVGs) and Order Blocks (OBs) based on refined price action logic.
FVGs are highlighted when price leaves an imbalance between candles, while Order Blocks are detected using ICT methodology—marking the last opposing candle before a displacement move.
The script dynamically tracks and updates these zones, halting box extension once price interacts with them. Customizable colors and lookback settings allow traders to tailor the display to their strategy.
RSI DCA StrategyThis strategy combines RSI oversold signals with a Dollar-Cost Averaging (DCA) buying approach.
Trigger:
When the RSI (Relative Strength Index) crosses below 30, the strategy marks an oversold condition.
DCA Entry:
Once triggered, the strategy executes up to three consecutive daily entries (1 per day), splitting the predefined capital equally (configurable by user).
Position Management:
Take Profit at a configurable % above the average entry price.
Stop Loss at a configurable % below the average entry price.
Exit Conditions:
The strategy automatically exits either on reaching Take Profit or Stop Loss.
Visualization:
RSI plotted with oversold line (30).
Take Profit and Stop Loss lines displayed after entry.
Performance Reporting:
Includes an optional monthly performance table for evaluating results by month.
Note:
This strategy is for testing RSI-based mean reversion with staggered entries. It is not financial advice and should be optimized and validated for each market or timeframe before practical use.
Auto Fibonacci - First Hour Lockedthis gives the accurate fibonnacci based on the day's first hour high/low values, and the extension values as well.
First Window Box + Asia Open HourFirst Window Box + Asia Open Hour is an indicator which marks the High and Low of the Asia Open First hour along with the range marking of First Four Hour and its lenght comparing to the length of last 10 days first four hour range.
Daily + 4H MACD & RSI Screeneri used this script for my swing trading entry.
//@version=5
indicator("Daily + 4H MACD & RSI Screener", overlay=false)
// settings
rsiLength = input.int(14, "RSI Length")
rsiLevel = input.int(50, "RSI Threshold")
macdFast = input.int(12, "MACD Fast")
macdSlow = input.int(26, "MACD Slow")
macdSignal = input.int(9, "MACD Signal")
// ---- daily timeframe ----
dailyRsi = request.security(syminfo.tickerid, "D", ta.rsi(close, rsiLength))
= request.security(syminfo.tickerid, "D", ta.macd(close, macdFast, macdSlow, macdSignal))
dailyRsiPass = dailyRsi < rsiLevel
dailyMacdPass = dailyMacd < 0
dailyCondition = dailyRsiPass and dailyMacdPass
// ---- 4H timeframe ----
h4Rsi = request.security(syminfo.tickerid, "240", ta.rsi(close, rsiLength))
= request.security(syminfo.tickerid, "240", ta.macd(close, macdFast, macdSlow, macdSignal))
h4RsiPass = h4Rsi < rsiLevel
h4MacdPass = h4Macd < 0
h4Condition = h4RsiPass and h4MacdPass
// ---- combined condition ----
finalCondition = dailyCondition and h4Condition
// plot signals
plotshape(finalCondition, style=shape.triangledown, location=location.top, color=color.red, size=size.large, title="Signal")
bgcolor(finalCondition ? color.new(color.red, 85) : na)
// ---- table (3 columns x 4 rows) ----
var table statusTable = table.new(position=position.top_right, columns=3, rows=4, border_width=1)
// headers
table.cell(statusTable, 0, 0, "Timeframe", text_color=color.white, bgcolor=color.new(color.black, 0))
table.cell(statusTable, 1, 0, "RSI", text_color=color.white, bgcolor=color.new(color.black, 0))
table.cell(statusTable, 2, 0, "MACD", text_color=color.white, bgcolor=color.new(color.black, 0))
// daily row
table.cell(statusTable, 0, 1, "Daily", text_color=color.white, bgcolor=color.new(color.black, 0))
table.cell(statusTable, 1, 1, str.tostring(dailyRsi, "#.##"),
text_color=color.white, bgcolor=dailyRsiPass ? color.new(color.green, 60) : color.new(color.red, 60))
table.cell(statusTable, 2, 1, str.tostring(dailyMacd, "#.##"),
text_color=color.white, bgcolor=dailyMacdPass ? color.new(color.green, 60) : color.new(color.red, 60))
// 4H row
table.cell(statusTable, 0, 2, "4H", text_color=color.white, bgcolor=color.new(color.black, 0))
table.cell(statusTable, 1, 2, str.tostring(h4Rsi, "#.##"),
text_color=color.white, bgcolor=h4RsiPass ? color.new(color.green, 60) : color.new(color.red, 60))
table.cell(statusTable, 2, 2, str.tostring(h4Macd, "#.##"),
text_color=color.white, bgcolor=h4MacdPass ? color.new(color.green, 60) : color.new(color.red, 60))
// status row (simulate colspan by using two adjacent cells with the same bgcolor)
table.cell(statusTable, 0, 3, "Status", text_color=color.white, bgcolor=color.new(color.black, 0))
statusText = finalCondition ? "match" : "no match"
statusBg = finalCondition ? color.new(color.green, 0) : color.new(color.red, 0)
table.cell(statusTable, 1, 3, statusText, text_color=color.white, bgcolor=statusBg, text_size=size.large)
table.cell(statusTable, 2, 3, "", text_color=color.white, bgcolor=statusBg)
TQQQ – 200 SMA ±5% Entry / –3% Exit (since 2010) • Metrics by DE✅ In plain words:
You only buy TQQQ when it’s trading 5% above its 200-day SMA (a sign of strong uptrend momentum).
You stay long as long as the price holds above 3% below the 200-day SMA.
If price falls below that lower threshold, you exit to limit drawdown.
The strategy is designed to catch strong uptrends while cutting losses early.
Measured Move Volume XIndicator Description
The "Measured Move Volume X" indicator, developed for TradingView using Pine Script version 6, projects potential price targets based on the measured move concept, where the magnitude of a prior price leg (Leg A) is used to forecast a subsequent move. It overlays translucent boxes on the chart to visualize bullish (green) or bearish (red) price projections, extending them to the right for a user-specified number of bars. The indicator integrates volume analysis (relative to a simple moving average), RSI for momentum, and VWAP for price-volume weighting, combining these into a confidence score to filter entry signals, displayed as triangles on breakouts. Horizontal key level lines (large, medium, small) are drawn at significant price points derived from the measured moves, with customizable thresholds, colors, and styles. Exhaustion hints, shown as orange labels near box extremes, indicate potential reversal points. Anomalous candles, marked with diamond shapes, are identified based on volume spikes and body-to-range ratios. Optional higher timeframe candle coloring enhances context. The indicator is fully customizable through input groups for lookback periods, transparency, and signal weights, making it adaptable to various assets and timeframes.
Adjustment Tips for Optimization
To optimize the "Measured Move Volume X" indicator for specific assets or timeframes, adjust the following input parameters:
Leg A Lookback (default: 14 bars): Increase to 20-30 for volatile markets (e.g., cryptocurrencies) to capture larger price swings; decrease to 5-10 for intraday charts (e.g., stocks) for faster signals.
Extend Box to the Right (default: 30 bars): Extend to 50+ for daily or weekly charts to project further targets; shorten to 10-20 for lower timeframes to reduce clutter.
Volume SMA Length (default: 20) and Relative Volume Threshold (default: 1.5): Lower the threshold to 1.2-1.3 for low-volume assets (e.g., commodities) to detect subtler spikes; raise to 2.0+ for high-volume equities to filter noise. Match SMA length to RSI length for consistency.
RSI Parameters (default: length 14, overbought 70, oversold 30): Set overbought to 80 and oversold to 20 in trending markets to reduce premature exit signals; shorten length to 7-10 for scalping.
Key Level Thresholds (default: large 10%, medium 5%, small 5%): Increase thresholds (e.g., large to 15%) for volatile assets to focus on significant moves; disable medium or small lines to declutter charts.
Confidence Score Weights (default: volume 0.5, VWAP 0.3, RSI 0.2): Increase volume weight (e.g., 0.7) for volume-driven markets like futures; emphasize RSI (e.g., 0.4) for momentum-focused strategies.
Anomaly Detection (default: volume multiplier 1.5, small body ratio 0.2, large body ratio 0.75): Adjust the volume multiplier higher for stricter anomaly detection in noisy markets; fine-tune body-to-range ratios based on asset-specific candle patterns.
Use TradingView’s replay feature to test adjustments on historical data, ensuring settings suit the chosen market and timeframe.
Tips for Using the Indicator
Interpreting Signals: Green upward triangles indicate bullish breakout entries when price exceeds the prior high with a confidence score ≥40; red downward triangles signal bearish breakouts. Use these to identify potential entry points aligned with the projected box targets.
Box Projections: Bullish boxes project upward targets (top of box) equal to the prior leg’s height added to the breakout price; bearish boxes project downward. Monitor price action near box edges for target completion or reversal.
Exhaustion Hints: Orange labels near box tops (bullish) or bottoms (bearish) suggest potential exhaustion when price deviates within the set percentage (default: 5%) and RSI or volume conditions are met. Use these as cues to watch for reversals.
Key Level Lines: Large, medium, and small lines mark significant price levels from box tops/bottoms. Use these as potential support/resistance zones, especially when drawn with high volume (colored differently).
Anomaly Candles: Orange diamonds highlight candles with unusual volume/body characteristics, indicating potential reversals or pauses. Combine with box levels for context.
Higher Timeframe Coloring: Enable to color bars based on higher timeframe candle closures (e.g., 1, 2, 5, or 15 minutes) for added trend context.
Customization: Toggle "Only Show Bullish Moves" to focus on bullish setups. Adjust transparency and line styles for visual clarity. Test settings to balance signal frequency and chart readability.
Inputs: Organized into groups (e.g., "Measured Move Settings") using input.int, input.float, input.color, and input.bool for user customization, with tooltips for clarity.
Calculations: Computes relative volume (ta.sma(volume, volLookback)), VWAP (ta.vwap(hlc3)), RSI (ta.rsi(close, rsiLength)), and prior leg extremes (ta.highest/lowest) using prior bar data ( ) to prevent repainting.
Boxes and Lines: Creates boxes (box.new) for bullish/bearish projections and lines (line.new) for key levels. The f_addLine function manages line arrays (array.new_line), capping at maxLinesCount to avoid clutter.
Confidence Score: Combines volume, VWAP distance, and RSI into a weighted score (confScore), filtering entries (≥40). Rounded for display.
Exhaustion Hints: Functions like f_plotBullExitHint assess price deviation, RSI, and volume decrease, using label.new for dynamic orange labels.
Entry Signals and Plots: plotshape displays triangles for breakouts; plot and hline show VWAP and RSI levels; request.security handles higher timeframe coloring.
Anomaly Detection: Identifies candles with small-body high-volume or large-body average-volume patterns via ratios, plotted as diamonds.
RenKagi Fusion: Aura & SMA Clash IndicatorRenKagi Fusion: Aura & SMA Clash Indicator
Welcome to the RenKagi Fusion Indicator – a powerful, customizable tool that blends the strengths of Renko and Kagi charts to provide noise-filtered trend insights, enhanced with visual Aura effects and SMA (Simple Moving Average) crossover signals. Designed for traders seeking a unique edge in trend detection and reversal identification, this indicator combines traditional charting techniques with modern visualizations to help you navigate markets more effectively. Whether you're trading stocks, forex, or crypto, RenKagi Fusion offers a clean, actionable overview of market dynamics.
Key Features
RenKagi Line (Weighted Fusion of Renko and Kagi): The core of the indicator is the RenKagi line, a weighted average of Renko (brick-based trend filtering) and Kagi (reversal-focused line charts). Users can adjust the weight (default: 60% Renko, 40% Kagi) to prioritize stability or sensitivity. This fusion reduces market noise while highlighting key price movements.
Trend Scoring System: Calculates strength scores for Renko, Kagi, and RenKagi (capped at 20 points, converted to percentages). Scores increase with trend continuation and reset on reversals, giving a quantitative measure of momentum.
Aura Effects (Optional): Visual "glow" around lines based on score percentage – higher scores mean more opaque and thicker auras, adding a dynamic layer to trend visualization.
SMA Clash (Crossover Detection): Monitors daily SMA50, SMA100, and SMA200 for golden/death crosses (SMA50 crossing above/below longer SMAs) and RenKagi-SMA crossovers. These are displayed in a persistent info table for quick reference.
Customizable Visuals: Toggle lines, boxes, shapes, auras, and labels. Background coloring based on selected source (Renko, Kagi, or RenKagi) for intuitive trend bias.
Info Table: A configurable table (position and colors adjustable) summarizing scores, directions, cross states, brick size (with type), Kagi reversal (with type), and weights. No clutter – all in one place.
Alert Conditions: Built-in alerts for direction changes (Renko, Kagi, RenKagi), SMA crossovers, and golden/death crosses – perfect for real-time notifications.
How It Works
Renko Logic: Builds bricks based on user-selected type (Traditional fixed size, ATR dynamic, or Percentage). Scores build as trends persist, resetting on reversals.
Kagi Logic: Line reverses on thresholds (Traditional, ATR, or Percentage), scoring continuous moves.
RenKagi Calculation: Weighted average: (renkoPrice * renkoWeight + kagiLine * (100 - renkoWeight)) / 100. Score is a blend of individual scores.
SMA Integration: Daily timeframe SMAs for reliable long-term signals. Crossovers trigger alerts and update table states persistently until reversed.
Advantages for Traders
Noise Reduction: By fusing Renko's block structure with Kagi's reversal focus, it filters out minor fluctuations, helping identify strong trends early.
Versatility: Fully customizable – adjust weights, types, and visuals to fit any market or timeframe. Ideal for swing trading, trend following, or scalping.
Visual Clarity: Aura and background coloring provide at-a-glance insights, while the table consolidates data without overwhelming the chart.
Actionable Signals: Golden/Death crosses and direction changes offer clear entry/exit points, backed by alerts for timely execution.
Performance Optimization: Limits on lines/labels/boxes (500 each) ensure smooth operation on large datasets.
Usage Tips
Start with default settings for balanced performance.
Use in higher timeframes for trend confirmation or lower for intraday signals.
Combine with your favorite strategies – e.g., buy on RenKagi upward cross with SMA50 and golden cross confirmation.
Test on historical data to optimize weights and thresholds.
Note: This indicator is for educational and informational purposes only. Past performance is not indicative of future results. Always conduct your own analysis and use risk management. No financial advice is provided.
If you find this useful, please like, comment, or share your feedback!
AI+ Scalper Strategy [BuBigMoneyMazz]Based on the AI+ Scalper Strategy
A trend-following swing strategy that uses multi-factor confirmation (trend, momentum, volatility) to capture sustained moves. Works best in trending markets and avoids choppy conditions using ADX filter.
🎯 5-Minute Chart Settings (Scalping)
pine
// RISK MANAGEMENT
ATR Multiplier SL: 1.2
ATR Multiplier TP: 2.4
// STRATEGY OPTIONS
Use HTF Filter: ON
HTF Timeframe: 15
Latching Mode: OFF
// INDICATOR SETTINGS
ADX Length: 10
ATR Length: 10
HMA Length: 14
Momentum Mode: Stochastic RSI
// STOCH RSI
Stoch RSI Length: 10
%K Smoothing: 2
%D Smoothing: 2
5-Minute Trading Style:
Quick scalps (15-45 minute holds)
Tight stops for fast markets
More frequent signals
Best during high volatility sessions (market open/close)
📈 15-Minute Chart Settings (Day Trading)
pine
// RISK MANAGEMENT
ATR Multiplier SL: 1.5
ATR Multiplier TP: 3.0
// STRATEGY OPTIONS
Use HTF Filter: ON
HTF Timeframe: 60
Latching Mode: ON
// INDICATOR SETTINGS
ADX Length: 14
ATR Length: 14
HMA Length: 21
Momentum Mode: Fisher RSI
// STOCH RSI
Stoch RSI Length: 12
%K Smoothing: 3
%D Smoothing: 3
15-Minute Trading Style:
Swing trades (1-4 hour holds)
Better risk-reward ratio
Fewer, higher quality signals
Works throughout trading day
⚡ Best Trading Times:
5-min: Market open (9:30-11:30 ET) & close (3:00-4:00 ET)
15-min: All day, but best 10:00-3:00 ET
✅ Filter for High-Probability Trades:
Only trade when ADX > 20 (strong trend)
Wait for HTF confirmation (prevents false signals)
Avoid low volume periods (lunch time)
⛔ When to Avoid Trading:
ADX < 15 (choppy market)
Major news events
First/last 15 minutes of session
Pro Tip: Start with 15-minute settings for better consistency, then move to 5-minute once you're comfortable with the strategy's behavior.
AI+ Scalper [BigMoneyMazz Enhanced]Overview:
A professional-grade multi-factor trading indicator that combines trend, momentum, volatility, and volume analysis into a single composite oscillator. It provides clear visual buy/sell signals on your chart with automatic stop-loss and take-profit levels.
How It Works:
4-Way Market Analysis: Analyzes trend strength (ADX), momentum (your choice of 3 oscillators), volatility (ATR), and volume (OBV)
Smart Signal Generation: Only generates signals when multiple factors align (price above/below dynamic thresholds, trend confirmation, and sufficient volatility)
Visual Trading Plan: Plots clear LONG/SHORT labels on your chart with dashed lines showing exact stop-loss (red) and take-profit (green) levels
Live Dashboard: Real-time monitoring of all market conditions in a handy table
Key Features:
🎯 Clear Chart Signals: Green "LONG" and red "SHORT" labels with arrows
⚡ Risk Management: Automatic ATR-based stop-loss and take-profit levels
📊 Smart Dashboard: All key metrics in one view (ADX, Oscillator, Trend, Volume)
🔒 Non-Repainting: Uses only confirmed closing prices for reliable signals
⚙️ Fully Customizable: Adjust every aspect to your trading style
Recommended Settings for Day Trading:
Timeframe: 5-15 minutes
ATR Multiplier SL: 1.5 (tight stop)
ATR Multiplier TP: 3.0 (2:1 risk-reward)
Momentum Mode: Stochastic RSI (most responsive)
Use HTF Filter: ON (15-minute timeframe)
Latching Mode: ON (avoids whipsaws)
Recommended Settings for Swing Trading:
Timeframe: 1H-4H
ATR Multiplier SL: 2.0
ATR Multiplier TP: 4.0 (2:1 risk-reward)
Momentum Mode: Fisher RSI (smoother)
Use HTF Filter: ON (4H or Daily timeframe)
Latching Mode: ON
How to Use:
Wait for LONG/SHORT labels to appear on your chart
Enter trade when price touches your preferred entry level
Set stop-loss at the red dashed line
Set take-profit at the green dashed line
Use the dashboard to confirm market conditions (ADX > 25 = strong trend)
Signal Interpretation:
LONG ▲: Strong buy signal - trend bullish, oscillator above upper threshold
SHORT ▼: Strong sell signal - trend bearish, oscillator below lower threshold
EXIT: Close position (SL/TP hit)
Pro Tip: The dashboard is your best friend! Check that ADX is above 25 (strong trend) and volume is confirming before entering any trade.
This indicator works best as a confirmation tool alongside your existing strategy rather than a completely automated system. Always practice proper risk management!
Hilly's 0010110 Reversal Scalping Strategy - 5 Min CandlesKey Features and Rationale:
Timeframe: Restricted to 5-minute candles as requested.
Pattern Integration: Includes single (Hammer, Shooting Star, Doji), two (Engulfing, Harami), and three-plus (Morning Star, Evening Star) candlestick patterns, plus reversal patterns based on RSI extremes.
VWAP Cross: Incorporates bullish (price crosses above VWAP) and bearish (price crosses below VWAP) signals, enhanced by trend context.
Volume Analysis: Uses a volume spike threshold to filter noise, with a simple day-start volume comparison for financial environment context.
Financial Environment: Approximates the day's sentiment using early-hour volume compared to current volume, adjusted by trend.
Aggregation: Scores each condition (e.g., 1 for basic patterns, 2 for strong patterns like Engulfing, 3 for three-candle patterns) and decides based on weighted consensus, with trendStrength as a tunable threshold.
Risky Approach: Minimal filtering and a low trendStrength (default 0.5) allow frequent signals, aligning with your $100-to-$200 goal, but expect higher risk.
Suggested Inputs:
EMA Length: 10 (short enough for 5-minute sensitivity).
VWAP Lookback: 1 (uses current session VWAP).
Volume Threshold Multiplier: 1.2 (moderate spike requirement).
RSI Length: 14 (standard, adjustable to 7 for more sensitivity).
Trend Strength Threshold: 0.5 (balance between signals; lower to 0.4 for more trades, raise to 0.6 for fewer).
Position Size Calculatorposition size for futures, topstep apex etc, you typing your risk and stop loss pips and it shows you how many lots you should get
Phoenix Pattern Scanner v1.3.2 - Multi-Pattern, Score & PresetsAdvanced multi-pattern scanner with intelligent presets and heuristic scoring system.
🎯 KEY FEATURES
- 5 Trading Style Presets: Conservative, Balanced, Aggressive, Swing, Scalp
- 4 Core Patterns: RVOL (unusual volume), Momentum breakout, RSI bounce, Gap & Go
- Heuristic Score (0-100): Visual ranking system for signal quality
- Per-Pattern Anti-Noise: Prevents signal spam with configurable minimum distance
- Relative Strength %: Compare performance vs benchmark (default SPY)
- Squeeze Detection: Identifies low volatility compression (BB inside Keltner)
📊 SMART FILTERS
- Minimum price and average dollar volume gates
- Weekly trend confirmation (optional)
- Separate lookback periods for each pattern
- Configurable RSI length and Gap parameters
⚙️ CUSTOMIZATION
- All parameters adjustable via settings
- Toggle individual components on/off
- Clean info panel with real-time metrics
- Color-coded score visualization
📍 BEST USED ON
- Daily timeframe (primary design)
- Liquid stocks above $5
- As a screening tool alongside your analysis
⚠️ IMPORTANT NOTES
- Educational/informational tool only
- NOT financial advice or trade signals
- Heuristic score is diagnostic, not predictive
- Past pattern behavior ≠ future results
💡 QUICK START
1. Select a preset matching your style
2. Adjust filters for your market
3. Set alerts for patterns you want to track
4. Use score as relative ranking, not absolute signal
Version 1.3.2 - Stable release
Open source - Free to use and modify
Feedback and improvements welcome
Percentage Change per 5 Candles
🔎 What this indicator does
This indicator calculates and displays the percentage change of each candlestick directly on the chart.
• If a candle closed higher than it opened (bullish candle), it shows a positive % change (green).
• If a candle closed lower than it opened (bearish candle), it shows a negative % change (red).
• Small moves below your chosen threshold (e.g., 0.1%) are ignored to avoid clutter.
• The labels are placed above, below, or in the center of the candle (you choose).
So essentially, every candle “tells you in numbers” exactly how much it changed relative to its opening price.
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⚙️ How it operates (the logic inside)
1. Calculate the change
o Formula:
\text{% Change} = \frac{(\text{Close} - \text{Open})}{\text{Open}} \times 100
o Example: If a candle opens at 100 and closes at 105, that’s a +5% change.
2. Round it nicely
o You can control decimals (e.g., show 2 decimals → +5.23%).
3. Filter out noise
o If a candle barely moved (say 0.02%), the label won’t appear unless you reduce the threshold.
4. Style the labels
o Bullish = green text, slightly transparent green background.
o Bearish = red text, slightly transparent red background.
o Neutral (0%) = gray.
5. Place the labels
o Options: above the candle, below the candle, or centered.
o Small vertical offset is applied so labels don’t overlap the candle itself.
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📊 How this helps traders
This indicator turns visual candles into quantifiable numbers at a glance. Instead of guessing whether a move was “big” or “small,” you see it clearly.
Key Benefits:
1. Quick volatility analysis
o You can instantly see if candles are making big % swings or just small moves.
o This is especially useful on higher timeframes (daily/weekly) where moves can be large.
2. Pattern confirmation
o For example, you might spot a strong bullish engulfing candle — the % change label helps confirm whether it was truly significant (e.g., +4.5%) or just modest (+0.7%).
3. Noise filtering
o By setting a minimum % threshold, you only see labels when moves are meaningful (say > 0.5%). This keeps focus on important candles.
4. Backtesting & comparison
o You can compare moves across time:
“How strong was this breakout candle compared to the last one?”
“Are today’s bearish candles weaker or stronger than yesterday’s bullish candles?”
5. Better decision-making
o If you’re trading breakouts, reversals, or trend-following, knowing the % size of each candle helps confirm if the move has enough momentum.
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✅ In short:
This indicator quantifies price action. Instead of just seeing “green” or “red” candles, you now know exactly how much the price changed in percentage terms, directly on the chart, in real time. It helps you distinguish between strong and weak moves and makes your analysis more precise.
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Clear Signal Trading Strategy V5Clear Signal Trading Strategy - Description
This strategy uses a simple 0-5 point scoring system to identify high-probability trades. It combines trend following with momentum confirmation to generate clear BUY/SELL signals while filtering out market noise.
How it works: The strategy waits for EMA crossovers, then scores the setup based on trend alignment, momentum, RSI position, and volume. Only trades scoring above your chosen threshold are executed.
Recommended Settings by Market Type
For Beginners / Risk-Averse Traders:
Signal Sensitivity: Conservative
Volume Confirmation: ON
Risk Per Trade: 1-2%
Stop Loss Type: ATR
ATR Multiplier: 2.5
Risk:Reward Ratio: 2.0
For Trending Markets (Strong Directional Movement):
Signal Sensitivity: Balanced
Volume Confirmation: ON
Risk Per Trade: 2%
Stop Loss Type: ATR
ATR Multiplier: 2.0
Risk:Reward Ratio: 2.5-3.0
For Ranging/Choppy Markets:
Signal Sensitivity: Conservative
Volume Confirmation: ON
Risk Per Trade: 1%
Stop Loss Type: Percentage
Percentage Stop: 2%
Risk:Reward Ratio: 1.5
For Volatile Markets (Crypto/High Beta Stocks):
Signal Sensitivity: Conservative
Volume Confirmation: ON
Risk Per Trade: 1%
Stop Loss Type: ATR
ATR Multiplier: 3.0
Risk:Reward Ratio: 2.0
Best Practices
Timeframes:
15-minute to 1-hour for day trading
4-hour to daily for swing trading
Works best on liquid instruments with good volume
When to avoid trading:
When dashboard shows "HIGH" volatility above 4%
During major news events
When win rate drops below 40%
In markets with no clear trend (prolonged NEUTRAL state)
Success tips:
Start with Conservative mode until you see 10+ successful trades
Only increase to Balanced mode when win rate exceeds 55%
Never use Aggressive mode unless market shows strong trend for 5+ days
Always honor the stop loss - no exceptions
Take partial profits at first target if unsure
Heikin-Ashi-Candles MTFHeikin-Ashi Higher Timeframe Candles
This indicator overlays higher-timeframe Heikin-Ashi candles (default: 5 minutes) onto a lower-timeframe chart (e.g., 1 minute). Instead of using standard candlesticks, it draws:
Semi-transparent rectangles to represent the candle bodies.
Vertical lines to represent wicks, centered on each body.
Key features:
Dynamic transparency: The current, still-forming higher-timeframe candle is plotted in green or red (depending on trend) with a separate, lighter transparency (default: 30) so you can easily distinguish it from completed candles.
Finalization on close: As soon as a higher-timeframe candle closes, its body and wicks update to the standard transparency level (default: 50), ensuring completed candles are visually distinct.
Customizable inputs: You can adjust
The higher timeframe (tf) for Heikin-Ashi calculations.
Body transparency for confirmed candles.
Transparency for unfinished candles.
Wick thickness.
Use case:
This is particularly useful for traders who analyze price action on lower timeframes but want to stay aware of the higher-timeframe Heikin-Ashi trend without switching charts. The fading effect on the active candle helps prevent confusion between fully formed candles and those still developing.
Ravi AlgoBot📌 Indicator Description (Publish Notes)
Indicator Name:
EoR / EoS Entry & SL/Target Manager (Put=Red, Call=Green)
Purpose:
यह indicator उन traders के लिए बनाया गया है जो अपनी manual levels (EoR, EoR+1 for Put, और EoS, EoS-1 for Call) को chart पर plot करना चाहते हैं और उनके आधार पर Entry, Stop Loss और Target manage करना चाहते हैं।
How it works:
आप manual prices (EoR, EoR+1, EoS, EoS-1) input fields में डालेंगे।
Put levels (EoR, EoR+1) लाल रंग में दिखेंगे।
Call levels (EoS, EoS-1) हरे रंग में दिखेंगे।
हर price पर chart पर horizontal line + label बनेगा।
आप अपने Stop Loss और Target prices भी manual डाल सकते हैं (Call और Put दोनों के लिए अलग-अलग)।
जब भी price किसी entry/SL/Target level को touch करेगा:
Chart पर signal shape बनेगा (triangle)
एक alertcondition trigger होगा।
आप TradingView में Alerts create करके इन alerts को webhook URL से connect कर सकते हैं।
Example: जब EoR Put level touch हो → webhook के ज़रिए broker/bot में auto order लग जाएगा।
SL और Target levels भी इसी तरह alerts से manage होंगे।
Use Case:
Manual level-based intraday या positional trading
Automated trading setup (via TradingView alerts → Webhook → Broker API)
Put/Call entry, target, SL को clearly visualize और monitor करना
Disclaimer:
यह indicator trading automation tool नहीं है। Actual buy/sell orders Pine Script से नहीं लग सकते। Order execution केवल TradingView Alerts और external webhook के integration से ही possible है। कृपया पहले paper-trade और test करें।
