ATR Bands over 50D SMA ($ method)This indicator does NOT conform to Jeff Sun's methodology. It is published for educational purposes only. It is offered as-is, with no warranty of suitability or accuracy. The reality is, this was just a detour that let me to developing my other indicator.
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Trend Cloud with Buy/Sell Text [wjdtks255]Indicator Title: Trend Cloud with Buy/Sell Signal Pro
Short Description
A high-probability trend-following indicator based on Supertrend dynamics, enhanced with a Volume Filter to pinpoint explosive entries while minimizing false breakouts.
Detailed Description (Overview)
The Trend Cloud with Buy/Sell Text is designed for traders who prioritize clarity and momentum. It visualizes market trends through a "Trend Cloud" system and generates real-time BUY/SELL signals only when price action is backed by significant trading volume.
Key Technical Pillars
Dynamic Trend Cloud: Fills the area between the price and the Supertrend line, providing immediate visual feedback on trend strength and potential support/resistance zones.
Smart Volume Filter: A unique logic that compares current volume against a 20-period moving average. Labels only appear when a trend shift occurs with above-average volume, filtering out weak "fakeouts."
No-Repaint Labels: Signals are calculated and fixed at the close of the candle, ensuring that the BUY/SELL text remains permanent for reliable historical backtesting and live execution.
The Alpha Hunter Strategy (How to Trade)
1. Long Entry (Buy)
Condition: The cloud turns Aqua and a "BUY" label appears below the candle.
Confirmation: Ensure the price remains above the Aqua Trend Line.
Volume Check: The indicator automatically verifies if the volume is higher than the 20-period average before displaying the label.
Exit: Exit when a "SELL" signal appears or the price closes below the Aqua line.
2. Short Entry (Sell)
Condition: The cloud turns Red and a "SELL" label appears above the candle.
Confirmation: Price should stay below the Red Trend Line.
Exit: Exit when a "BUY" signal appears or the price closes above the Red line.
Input Parameters & Optimization
ATR Period (Default: 10): Determines the sensitivity to price volatility.
ATR Factor (Default: 3.0): Controls the distance of the trend line. Increase to 3.5 - 4.0 to reduce noise in choppy markets.
Volume Filter (Toggle): When enabled, only high-momentum signals are shown.
Recommended Usage
Best Timeframes: 15m, 1h, 4h.
Asset Classes: Highly effective for Crypto (BTC/ETH) and high-volume stocks.
Crypto 1H [Universal - Strict + R:R]Overview This indicator is a trend-following strategy designed specifically for the 1-hour timeframe (though it works universally). It focuses on high-probability "pullback" entries within an established trend.
What distinguishes this script from standard trend indicators is the integrated Risk:Reward (R:R) Pre-Filter. Before generating a signal, the script calculates the distance to the logical Stop Loss and the logical Take Profit (Resistance/Support). If the trade does not offer a minimum Risk-to-Reward ratio (default 1:2), the signal is suppressed.
How It Works
The strategy follows a strictly defined logical flow:
1. Trend Identification The script uses a Baseline EMA (Default: 50) to determine the trend.
Long: Price is above the 50 EMA, and the 50 EMA is sloping up.
Short: Price is below the 50 EMA, and the 50 EMA is sloping down.
2. The Pullback & Trigger Once a trend is identified, the script waits for price to pull back to the "Trigger" EMA (Default: 21).
The Wait Window: The script utilizes a "Max Wait Bars" logic. Once the price touches the Trigger EMA, it listens for an entry signal for exactly 3 bars. If price lingers too long without reacting, the setup is invalidated to avoid chopping markets.
3. The Risk:Reward Filter (Crucial) This is the final gatekeeper. Even if the trend and candle shape are perfect, the script performs a geometric check:
Stop Loss Calculation: Determined by the lowest low (for longs) or highest high (for shorts) of the last 5 bars, plus a small ATR buffer.
Target Calculation: Determined by the highest high or lowest low of the last 24 bars (local Support/Resistance).
The Math: If the distance to the Target is not at least 2.0x the distance to the Stop Loss, the trade is skipped. This prevents buying right into resistance or selling right into support.
Indicator Features & Settings
Session Filter: Defaults to London and NY sessions (UTC) to ensure volume is present.
Volatility Filter: Requires the signal candle to have a minimum body size (0.15% of price) to avoid "doji" or low-momentum entries.
Visuals:
White Line: 50 EMA (Trend)
Yellow Line: 21 EMA (Momentum Trigger)
Labels: Green (Long) and Red (Short) entry markers.
Red Crosses: These indicate exactly where the suggested Stop Loss was located at the moment of entry.
Risk Disclaimer This tool is designed for educational and analytical purposes. The "Strict R:R" filter does not guarantee profit; it simply filters out setups that mathematically do not fit the specified ratio based on historical price action. Always perform your own analysis.
RSI Session & Risk ManagerThis is a disciplined RSI mean-reversion strategy designed for traders who prioritize risk management and session confluence. Instead of trading 24/7, this strategy focuses on high-liquidity market sessions (London, New York, etc.) and uses dynamic position sizing to ensure a consistent dollar-amount risk per trade.
How it Works:
Entry Logic: The strategy triggers a Long when the RSI crosses above the Oversold level (30) and a Short when it crosses below the Overbought level (70).
Session Filtering: Built-in filters allow you to restrict trading to specific days of the week and specific market hours (NY, London, Tokyo, or Sydney sessions).
Force Close: An optional feature to automatically close open positions at the end of a trading session to avoid overnight gap risk.
Pro-Level Risk Management:
Dynamic Sizing: The script automatically calculates your position size based on a fixed dollar risk (e.g., $5 per trade).
Technical Stops: Stop losses are automatically placed at the high (for shorts) or low (for longs) of the entry candle.
Fixed Reward-to-Risk: Trades are executed with a customizable R:R ratio (default 2.0), ensuring your winners are twice the size of your losses.
Visual Features:
Real-time TP/SL lines while a trade is active.
Post-trade labels indicating "Win" or "Loss" markers.
Clean, organized input menu for easy optimization.
Best Used On:
Timeframes: 5m, 15m, or 1h.
Assets: Forex pairs, Indices (US30, NAS100), and liquid Crypto pairs.
VWAP x EMA9 Crossover (FLIP BUY/SELL)Another simple script, please use as needed and provide any feedback back or recommendations
Long + Short + Signal//@version=6
indicator("Long + Short + Signal", overlay=true)
Buy = input.bool(false, "Buy ")
Sell = input.bool(false, "Sell ")
// ================= INPUTS =================
// ---- LONG ----
periodK_Long = 50
smoothK_Long = 3
periodD_Long = 3
// ---- SHORT ----
periodK_Short = 14
smoothK_Short = 3
periodD_Short = 3
// ================= FUNCTIONS =================
f_stoch_long(tf) =>
k = request.security(syminfo.tickerid, tf,
ta.sma(ta.stoch(close, high, low, periodK_Long), smoothK_Long))
d = request.security(syminfo.tickerid, tf,
ta.sma(k, periodD_Long))
k > 50 and d > 50 ? color.green : k < 40 and d < 40 ? color.red : color.gray
f_stoch_short(tf) =>
k = request.security(syminfo.tickerid, tf,
ta.sma(ta.stoch(close, high, low, periodK_Short), smoothK_Short))
d = request.security(syminfo.tickerid, tf,
ta.sma(k, periodD_Short))
k > 60 and d > 60 ? color.green : k < 40 and d < 40 ? color.red : color.gray
// ================= TABLE =================
// 2 rows × 8 columns
var table t = table.new(position.top_right, 8, 2, border_width=3)
if barstate.islast
// ===== HEADINGS (BIGGER) =====
table.cell(
t, 0, 0, "Short",
bgcolor=color.black,
text_color=color.white,
text_size=size.large,
text_halign=text.align_center
)
table.cell(
t, 0, 1, "Long",
bgcolor=color.black,
text_color=color.white,
text_size=size.large,
text_halign=text.align_center
)
// ===== LONG ROW =====
table.cell(t, 1, 0, "1m", bgcolor=f_stoch_short("1"), text_color=color.white, text_size=size.normal)
table.cell(t, 2, 0, "5m", bgcolor=f_stoch_short("5"), text_color=color.white, text_size=size.normal)
table.cell(t, 3, 0, "15m", bgcolor=f_stoch_short("15"), text_color=color.white, text_size=size.normal)
table.cell(t, 4, 0, "60m", bgcolor=f_stoch_short("60"), text_color=color.white, text_size=size.normal)
table.cell(t, 5, 0, "D", bgcolor=f_stoch_short("D"), text_color=color.white, text_size=size.normal)
table.cell(t, 6, 0, "W", bgcolor=f_stoch_short("W"), text_color=color.white, text_size=size.normal)
table.cell(t, 7, 0, "M", bgcolor=f_stoch_short("M"), text_color=color.white, text_size=size.normal)
// ===== SHORT ROW =====
table.cell(t, 1, 1, "1m", bgcolor=f_stoch_long("1"), text_color=color.white, text_size=size.normal)
table.cell(t, 2, 1, "5m", bgcolor=f_stoch_long("5"), text_color=color.white, text_size=size.normal)
table.cell(t, 3, 1, "15m", bgcolor=f_stoch_long("15"), text_color=color.white, text_size=size.normal)
table.cell(t, 4, 1, "60m", bgcolor=f_stoch_long("60"), text_color=color.white, text_size=size.normal)
table.cell(t, 5, 1, "D", bgcolor=f_stoch_long("D"), text_color=color.white, text_size=size.normal)
table.cell(t, 6, 1, "W", bgcolor=f_stoch_long("W"), text_color=color.white, text_size=size.normal)
table.cell(t, 7, 1, "M", bgcolor=f_stoch_long("M"), text_color=color.white, text_size=size.normal)
lengthK = 14
lengthD = 3
lengthEMA = 3
emaEma(source, length) => ta.ema(ta.ema(source, length), length)
highestHigh = ta.highest(lengthK)
lowestLow = ta.lowest(lengthK)
highestLowestRange = highestHigh - lowestLow
relativeRange = close - (highestHigh + lowestLow) / 2
smi = 200 * (emaEma(relativeRange, lengthD) / emaEma(highestLowestRange, lengthD))
// ===== BUY / SELL CONDITIONS =====
buyEntry = ta.crossover(smi, 50)
buyExit = ta.crossunder(smi, 50)
sellEntry = ta.crossunder(smi, -40)
sellExit = ta.crossover(smi, -40)
// ===== PLOTS =====
plotshape( Buy and buyEntry, title="BUY", style=shape.triangleup,location=location.belowbar, color=color.green,size=size.small, text="BUY")
plotshape( Buy and buyExit, title="EXIT BUY", style=shape.triangledown, location=location.abovebar, color=color.lime,size=size.tiny, text="EXIT")
plotshape( Sell and sellEntry,title="SELL", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small, text="SELL")
plotshape( Sell and sellExit, title="EXIT SELL", style=shape.triangleup, location=location.belowbar, color=color.orange, size=size.tiny, text="EXIT")
shortest = ta.ema(close, 9)
shortEMA = ta.ema(close, 21)
longer = ta.ema(close, 50)
longest = ta.ema(close, 200)
plot(shortest, color=color.red, title="EMA 9")
plot(shortEMA, color=color.orange, title="EMA 21")
plot(longer, color=color.aqua, title="EMA 50")
plot(longest, color=color.blue, title="EMA 200")
Daily Opens (Today/Yesterday/Prev Week)Market open markers for Volume profile traders, Marks Current Day open, Previous Day open, Previous Week open.
SMA Extensions Table 3extension in ADR and % from SMAs, to gauge measures of extension to assist with swing trade exits and mean reversiont rades
INDICATOR FOR DAILY OPEN SHIFT STRATEGY EXECUTIONHow to use this indicator for a Strategy:
A common way to trade with a tool like this is Confluence:
Check the Supertrend: Is the overall background Green? (Higher Timeframe Trend).
Check the EMAs: Is the 24 EMA above the 42 EMA? (Current Momentum).
Check the Opens: Is price currently trading above the Daily Open and the London Open? (Intraday Strength).
The Entry: If all three are "Yes," you look for a long position.
Volatility Check: Use the Session Boxes to see if the current New York session has moved too much (e.g., if the % change label shows +2.00%, the move might already be over).
Signal Architect Stop-Hunt Signal Architect™ — Developer Note
These daily posts are intentional.
They are designed to help potential users visually observe consistency—not just in outcomes, but in process—across multiple futures products, market conditions, and timeframes, using the Stop Hunt Indicator alongside my proprietary Signal Architect™ framework.
The goal is simple:
To show how structure, behavior, and probability repeat—every day—despite a constantly changing market.
If you follow these posts over time, you will begin to recognize that:
• The same behaviors appear across different futures contracts
• The same reactions occur on multiple timeframes
• The same structural traps and stop events repeat regardless of volatility regime
That consistency is not coincidence.
Consistency is the signal.
Over time, that consistency should become familiar—
and familiarity should become your edge.
________________________________________
🧠 What You’re Seeing (And Why It Matters)
This indicator includes a limited visual preview of a proprietary power signal I have personally developed and refined across:
• Futures
• Algorithmic trading systems
• Options structure
• Equity market behavior
Every tool I release is built around one core principle:
Clarity of direction without over-promising or over-fitting.
That is why all Signal Architect™ tools emphasize:
• Market structure first
• High-probability directional context
• Clear, visual risk framing
• No predictive claims
• No curve-fit illusions
What you see publicly is not the full system—only controlled, educational previews meant to demonstrate how structure and probability align in real markets.
________________________________________
📊 Background & Scope
Over the years, I have personally developed 800+ programs, including:
• Equity systems
• Futures strategies
• Options structure tools
• Dividend & income frameworks
• Portfolio construction and allocation logic
This includes 40+ Nasdaq-100 trading bots, several operating under extremely strict rule-sets and controlled deployment conditions.
Nothing shared publicly represents my complete internal framework.
Public posts exist for education, observation, and pattern recognition—not signals, not advice, and not promises.
________________________________________
🤝 For Those Who Find Value
If these daily posts help you see the market more clearly:
• Follow, boost, and share my scripts, Ideas, and MINDS posts
• Feel free to message me directly with questions or build requests
• Constructive feedback and collaboration are always welcome
For traders who want to go deeper, optional memberships may include:
• Additional signal access
• Early previews
• Occasional free tools and upgrades
🔗 Membership & Signals:
trianchor.gumroad.com
________________________________________
⚠️ Final Note
Everything published publicly is educational and analytical only.
Markets carry risk.
Discipline, patience, and risk management always come first.
Watch the consistency.
Study the structure.
Let the market repeat itself.
— Signal Architect™
________________________________________
🔗 Personally Developed GPT Tools
• AuctionFlow GPT
chatgpt.com
• Signal Architect™ Gamma Desk – Market Intelligence
chatgpt.com
• Gamma Squeeze Watchtower™
chatgpt.com
SSL MACD - nhuthang83supertrend method, supertrend method, supertrend method, supertrend method, supertrend method,
RSI + Smoothed HA Strategy 🚀 RSI + SMOOTHED HEIKEN ASHI STRATEGY (TRAILING TP, 1% SL) 📊
🎯 STRATEGY OVERVIEW
This professional trading strategy combines MOMENTUM ANALYSIS with TREND CONFIRMATION using two powerful technical indicators. The system executes LONG-ONLY POSITIONS when bullish conditions align, featuring AUTOMATED RISK MANAGEMENT with a fixed stop loss and dynamic trailing exit.
⚙️ CORE COMPONENTS
📈 INDICATOR 1: RELATIVE STRENGTH INDEX (RSI)
CALCULATION: Standard 14-period RSI (configurable)
ENTRY THRESHOLD: 55 LEVEL (adjustable parameter)
PURPOSE: Identifies MOMENTUM STRENGTH and OVERBOUGHT CONDITIONS
VISUAL: Blue RSI line with gray threshold level plotted separately
🕯️ INDICATOR 2: DOUBLE-SMOOTHED HEIKEN ASHI
UNIQUE FEATURE: DOUBLE EMA SMOOTHING applied to Heiken Ashi candles
SMOOTHING LAYERS:
FIRST LAYER: EMA applied to raw OHLC data (default: 10 periods)
SECOND LAYER: EMA applied to Heiken Ashi values (default: 10 periods)
COLOR SCHEME:
🟢 LIME GREEN: Bullish candle (close > open)
🔴 RED: Bearish candle (close < open)
BENEFIT: REDUCES MARKET NOISE while maintaining trend clarity
🎮 ENTRY CONDITIONS
📈 LONG POSITIONS ACTIVATE WHEN ALL THREE CONDITIONS CONVERGE:
RSI MOMENTUM: RSI ≥ 55 (configurable level)
TREND CONFIRMATION: Current smoothed Heiken Ashi candle is GREEN
TREND REVERSAL SIGNAL: Previous smoothed Heiken Ashi candle was RED
✅ ENTRY LOGIC: This triple-filter approach ensures trades are taken only during CONFIRMED BULLISH SHIFTS with underlying momentum strength.
🛡️ RISK MANAGEMENT SYSTEM
⛔ STOP LOSS PROTECTION
FIXED 1% RISK PER TRADE
AUTOMATIC CALCULATION: Stop placed at 99% of entry price
IMMEDIATE ACTIVATION: Engages upon position entry
BENEFIT: CAPS MAXIMUM LOSS regardless of market volatility
💰 TRAILING TAKE-PROFIT MECHANISM
DYNAMIC EXIT STRATEGY: Tracks trend continuation
EXIT CONDITION: Closes position when smoothed Heiken Ashi turns RED
ADVANTAGE: LOCKS IN PROFITS during trend reversals
LOGIC: Allows winners to run while protecting gains
💼 POSITION SIZING
CAPITAL ALLOCATION: 10% of equity per trade (fully customizable)
INITIAL CAPITAL: $10,000 (user-adjustable)
FLEXIBILITY: Compatible with various account sizes
✨ KEY ADVANTAGES
🎯 PRECISE TIMING
Combines MOMENTUM FILTER (RSI) with TREND FILTER (Heiken Ashi)
Reduces false signals through CONFIRMATION SEQUENCE
🛡️ DISCIPLINED RISK CONTROL
PREDEFINED 1% STOP LOSS eliminates emotional decisions
SYSTEMATIC EXITS remove subjective profit-taking
👁️ VISUAL CLARITY
CLEAN CHART PLOTTING with color-coded candles
SEPARATE RSI DISPLAY for momentum monitoring
REAL-TIME SIGNALS directly on price chart
⚡ OPTIMIZATION TIPS
ADJUST RSI LEVEL based on asset volatility (55-70 range)
MODIFY SMOOTHING PERIODS for different timeframes
TEST POSITION SIZE according to risk tolerance
COMBINE WITH VOLUME CONFIRMATION for enhanced accuracy
📊 RECOMMENDED MARKETS
TRENDING FOREX PAIRS (EUR/USD, GBP/USD)
LIQUID INDICES (S&P 500, NASDAQ)
HIGH-CAP CRYPTO (BTC/USD, ETH/USD)
TIME FRAMES: 1-hour to daily charts
⚠️ RISK DISCLAIMER
This strategy is a TOOL FOR ANALYSIS, not financial advice. Always:
BACKTEST extensively before live trading
START WITH SMALL CAPITAL
USE PROPER RISK MANAGEMENT
CONSULT FINANCIAL PROFESSIONALS
CausalityLib - granger casuality and transfer entropy helpersLibrary "CausalityLib"
Causality Analysis Library - Transfer Entropy, Granger Causality, and Causality Filtering
f_shannon_entropy(data, num_bins)
Calculate Shannon entropy of data distribution
Parameters:
data (array) : Array of continuous values
num_bins (int) : Number of bins for discretization
Returns: Entropy value (higher = more randomness)
f_calculate_te_score(primary_arr, ticker_arr, window, bins, lag)
Calculate Transfer Entropy from source to target
Parameters:
primary_arr (array) : Target series (e.g., primary ticker returns)
ticker_arr (array) : Source series (e.g., basket ticker returns)
window (int) : Window size for TE calculation
bins (int) : Number of bins for discretization
lag (int) : Lag for source series
Returns: - TE score and direction (-1 or 1)
f_correlation_at_lag(primary_arr, ticker_arr, lag, window, correlation_method)
Calculate Pearson correlation at specific lag
Parameters:
primary_arr (array) : Primary series
ticker_arr (array) : Ticker series
lag (int) : Lag value (positive = ticker lags primary)
window (int) : Window size for correlation
correlation_method (string) : Correlation method to use ("Pearson", "Spearman", "Kendall")
Returns: Correlation coefficient
f_calculate_granger_score(primary_arr, ticker_arr, window, max_lag, correlation_method)
Calculate Granger causality score with lag testing
Parameters:
primary_arr (array) : Primary series
ticker_arr (array) : Ticker series
window (int) : Window size for correlation
max_lag (int) : Maximum lag to test
correlation_method (string) : Correlation method to use
Returns: - Granger score and directional beta
f_partial_correlation(x_arr, y_arr, z_arr, window)
Calculate partial correlation between X and Y controlling for Z
Parameters:
x_arr (array) : First series
y_arr (array) : Second series
z_arr (array) : Mediator series
window (int) : Window size for correlation
Returns: Partial correlation coefficient
f_pcmci_filter_score(raw_score, primary_arr, ticker_arr, mediator1, mediator2, mediator3, mediator4, window)
PCMCI Filter: Adjust Granger score by checking for mediating tickers
Parameters:
raw_score (float) : Original Granger score
primary_arr (array) : Primary series
ticker_arr (array) : Ticker series
mediator1 (array) : First potential mediator series
mediator2 (array) : Second potential mediator series
mediator3 (array) : Third potential mediator series
mediator4 (array) : Fourth potential mediator series
window (int) : Window size for correlation
Returns: Filtered score (reduced if causality is indirect/spurious)
Signal Architect Stop-Hunt ProxySignal Architect™ — Developer Note
These daily posts are intentional.
They are designed to help potential users visually observe consistency—not just in outcomes, but in process—across multiple futures products, market conditions, and timeframes, using the Stop Hunt Indicator alongside my proprietary Signal Architect™ framework.
The goal is simple:
To show how structure, behavior, and probability repeat—every day—despite a constantly changing market.
If you follow these posts over time, you will begin to recognize that:
• The same behaviors appear across different futures contracts
• The same reactions occur on multiple timeframes
• The same structural traps and stop events repeat regardless of volatility regime
That consistency is not coincidence.
Consistency is the signal.
Over time, that consistency should become familiar—
and familiarity should become your edge.
________________________________________
🧠 What You’re Seeing (And Why It Matters)
This indicator includes a limited visual preview of a proprietary power signal I have personally developed and refined across:
• Futures
• Algorithmic trading systems
• Options structure
• Equity market behavior
Every tool I release is built around one core principle:
Clarity of direction without over-promising or over-fitting.
That is why all Signal Architect™ tools emphasize:
• Market structure first
• High-probability directional context
• Clear, visual risk framing
• No predictive claims
• No curve-fit illusions
What you see publicly is not the full system—only controlled, educational previews meant to demonstrate how structure and probability align in real markets.
________________________________________
📊 Background & Scope
Over the years, I have personally developed 800+ programs, including:
• Equity systems
• Futures strategies
• Options structure tools
• Dividend & income frameworks
• Portfolio construction and allocation logic
This includes 40+ Nasdaq-100 trading bots, several operating under extremely strict rule-sets and controlled deployment conditions.
Nothing shared publicly represents my complete internal framework.
Public posts exist for education, observation, and pattern recognition—not signals, not advice, and not promises.
________________________________________
🤝 For Those Who Find Value
If these daily posts help you see the market more clearly:
• Follow, boost, and share my scripts, Ideas, and MINDS posts
• Feel free to message me directly with questions or build requests
• Constructive feedback and collaboration are always welcome
For traders who want to go deeper, optional memberships may include:
• Additional signal access
• Early previews
• Occasional free tools and upgrades
🔗 Membership & Signals:
trianchor.gumroad.com
________________________________________
⚠️ Final Note
Everything published publicly is educational and analytical only.
Markets carry risk.
Discipline, patience, and risk management always come first.
Watch the consistency.
Study the structure.
Let the market repeat itself.
— Signal Architect™
________________________________________
🔗 Personally Developed GPT Tools
• AuctionFlow GPT
chatgpt.com
• Signal Architect™ Gamma Desk – Market Intelligence
chatgpt.com
• Gamma Squeeze Watchtower™
chatgpt.com
Sakata Reversal MatrixThis indicator automatically detects key candlestick reversal patterns based on the traditional Japanese "Sakata Five Methods."
Key Features: Identifies patterns such as Hammer, Engulfing, Harami, Piercing/Dark Cloud, and Gaps (Sanku).
Strict Star Detection: "Morning Star" and "Evening Star" signals are filtered using a strict logic where the second candle (the star) must be visually isolated from the surrounding candles.
High-Accuracy Filter: Combines RSI (below 30 or above 70) with Bollinger Bands to ensure signals appear only during overbought or oversold conditions, reducing false signals.
Bilingual Support: Easily toggle between Japanese and English labels in the settings.
このインジケーターは、日本の伝統的な相場分析法である「酒田五法」をベースに、主要な反転ローソク足パターンを自動検知します。
主な機能: ハンマー（首吊り線）、包み足、はらみ足、切り込み線、三空などを表示。
厳格な明星判定: 「明けの明星」「宵の明星」は、2本目のローソク足の実体が前後の足から窓を開けて孤立している場合のみ検知する厳格なロジックを採用しています。
高精度フィルタ: RSI（35以下/65以上）とボリンジャーバンドを組み合わせ、相場が過熱しているポイントでのみサインを出すことで、騙しを軽減しています。
バイリンガル対応: 設定から日本語と英語の表示を切り替え可能です。
Strict EMA Wick Pullback Trend ContinuationThis script is a strict EMA pullback entry model
designed exclusively for trend continuation traders.
It does NOT attempt to predict tops or bottoms.
It waits for established trends and enters only
on shallow pullbacks with defined risk.
OVERVIEW
This strategy is built for disciplined trend continuation trading.
It looks for shallow pullbacks into a fast EMA during established uptrends
and exits when trend structure breaks.
There is no counter-trend logic and no optimization for win rate.
ENTRY LOGIC
A long entry is triggered when:
• Price pulls back into the fast EMA area (wick touch)
• The pullback remains above the slow EMA (trend integrity)
• The candle closes bullish
• Optional: slow EMA is rising (trend filter)
RISK MANAGEMENT
• A dynamic stop is placed just below the fast EMA
• The stop only tightens — it never loosens
• Losses are small and predefined
• The system is designed to be scaled via position sizing
EXIT LOGIC
• Positions are closed when the fast EMA crosses below the slow EMA
• This represents a breakdown of trend continuation structure
WHAT THIS STRATEGY IS
• A trend continuation entry module
• Risk-first by design
• Low win-rate, high payoff profile
• Designed for trending markets
WHAT THIS STRATEGY IS NOT
• Not a reversal system
• Not a scalping strategy
• Not a signal service
• Not optimized for ranging markets
• Not a promise of profitability
IMPORTANT NOTES
• Long-only by design (BTC context)
• No repainting logic
• Best used with higher-timeframe trend confirmation
• This is a tool, not financial advice
Recommended markets: BTCUSD / BTCUSDT
Timeframe: 1D
Trend filter: ON
Risk: fixed % per trade (user-defined)
ICT/SMC HUDOverview
This indicator is an ICT/SMC-inspired market structure tool that detects:
Swing Structure (pivot-based)
BOS (Break of Structure) and CHoCH (Change of Character)
Liquidity Sweeps (buy-side & sell-side)
Premium/Discount filter using a simple equilibrium (EQ) midpoint
A Hold Score (0–5) system calculated from a higher timeframe (HTF)
Optional TP/SL visualization box (with TP2 expansion when Hold Score is strong)
⚠️ This is an educational tool, not a guaranteed trading system.
Core Logic (Where signals come from)
This script builds a simplified ICT/SMC framework using 3 layers:
1) Market Structure via Swings (Pivot High/Low)
The script finds swing highs/lows using:
ta.pivothigh(high, swingLen, swingLen)
ta.pivotlow(low, swingLen, swingLen)
These swings become the reference points for structure breaks.
2) BOS / CHoCH Detection
BOS Up = price closes above the last swing high
BOS Down = price closes below the last swing low
trend updates to 1 (bullish) or -1 (bearish) based on BOS
CHoCH triggers when BOS occurs against the current trend
CHoCH Up = trend was bearish, then BOS Up happens
CHoCH Down = trend was bullish, then BOS Down happens
3) Liquidity Sweep + Premium/Discount Filter
Sell-side sweep: low breaks below last swing low, but closes back above it
Buy-side sweep: high breaks above last swing high, but closes back below it
Equilibrium (EQ) midpoint is:
(lastSwingHigh + lastSwingLow) / 2
Discount = price below EQ
Premium = price above EQ
Signal Rules (Buy / Sell)
Buy Signal
Sell-side sweep + (CHoCH Up or BOS Up)
OR
BOS Up while price is in Discount
Sell Signal
Buy-side sweep + (CHoCH Down or BOS Down)
OR
BOS Down while price is in Premium
Hold Score System (0–5) — HTF confirmation
The script calculates a Hold Score from HTF using 5 checks:
HTF EMA Bias
Bullish hold bias: EMA Fast > EMA Mid
Bearish hold bias: EMA Fast < EMA Mid
Volatility Expansion
Uses HTF Bollinger Band width; if width is increasing, expansion is “OK”
Mid Acceptance
HTF close relative to HTF BB basis (SMA)
Follow-through after Entry
Requires N consecutive bars closing in favor of the entry direction
No Opposite Break
Avoid holding if opposite BOS/CHoCH appears
Hold Score = sum of the 5 checks (0–5)
TP/SL Box (Optional)
When a new Buy/Sell signal occurs:
Entry is set at current close
SL uses:
Swing-based stop (lowest/ highest of last N bars)
optional ATR buffer
TP1 and TP2 are set using Risk:Reward ratios
TP2 Expansion (Optional)
If Hold Score ≥ threshold:
TP2 RR increases by extraRRonHold
Can be set to expand only (never shrink)
Auto-hide TP/SL Drawings (Optional)
If enabled, the TP/SL box/lines/labels will automatically disappear after N bars.
This is useful for clean charts while still keeping Hold Score logic running.
Best Use Cases
✅ Works best during liquidity sessions:
London Killzone
New York Killzone
✅ Recommended timeframes:
Structure: 15m / 1h
Entry refinement: 5m / 1m
Hold Score HTF: 1h or 4h
Inputs Guide (Quick)
Swing length (Structure): controls swing sensitivity (higher = fewer swings)
Hold Score HTF: HTF used for Hold Score confirmation
TP/SL Box: visualization tool, not order execution
Auto-hide: removes drawings after N bars for clean charts
TP2 Expand: increases TP2 target when Hold Score is strong
Disclaimer
This indicator does not place trades and does not guarantee profits. Always manage risk, backtest, and validate with your own strategy.
eBacktesting - Learning: Cup & HandleeBacktesting - Learning: Cup & Handle
The Cup & Handle is a classic continuation pattern that often appears during strong trends. It shows a market that “cools off” (the cup), then does a smaller pullback (the handle), and may be ready for another push in the original direction.
This indicator helps you spot:
- Potential Cup & Handle formations as they develop
- When a handle forms (the final “pause” before continuation)
- The breakout moment, when price pushes above the rim level
It’s designed to support structured practice: you can replay charts and train your eyes to recognize the pattern, understand the context around it, and build consistent execution rules.
These indicators are built to pair perfectly with the eBacktesting extension, where traders can practice these concepts step-by-step. Backtesting concepts visually like this is one of the fastest ways to learn, build confidence, and improve trading performance.
Educational use only. Not financial advice.
Candle Time Remaining (v6 Dynamic Fixed)displays the time remaining on the current candle above the printing candle. turns red when red and green when candle is green
eBacktesting - Learning: Head & ShoulderseBacktesting - Learning: Head & Shoulders
Head & Shoulders is one of the most recognizable reversal patterns in day trading. It helps you spot moments when a trend may be losing strength and a turn becomes more likely—often around a “neckline” level where the market either breaks and continues the reversal, or holds and keeps trending.
This indicator highlights both:
- Head & Shoulders (bearish): potential shift from bullish strength to bearish reversal
- Inverse Head & Shoulders (bullish): potential shift from bearish strength to bullish reversal
It marks the structure on the chart (left shoulder, head, right shoulder) and flags the moment the pattern is confirmed, so you can practice reading the story behind price action instead of guessing.
These indicators are built to pair perfectly with the eBacktesting extension, where traders can practice these concepts step-by-step. Backtesting concepts visually like this is one of the fastest ways to learn, build confidence, and improve trading performance.
Educational use only. Not financial advice.
BB Re-entry HUD1) What this script does
This indicator is an BB Re-entry HUD
Core idea:
Price sweeps outside BB (often liquidity wick sweep)
Re-enters back inside BB within 1–2 bars
Multiple ELITE++ filters reduce fake signals
HUD scores follow-through strength (trend & momentum confirmation)
2) ELITE++ Re-entry Signal Logic
A BUY/SELL signal is triggered when:
One of the previous 1–2 bars moved outside BB (wick or close, selectable)
Current bar re-enters BB (optionally requires close inside)
Optional filters confirm signal quality:
Outside depth minimum (% of BB width)
Candle direction confirmation (Buy=green, Sell=red)
Re-entry close crosses previous candle 50%
Zone filter near BB edges
Touch filter: wick touches the band
Squeeze → Expand regime requirement
Cooldown to avoid rapid repeat signals
3) Trade Power HUD (0–5 Scoring)
After a signal, HUD evaluates either on the next bar (recommended) or the same bar.
Score components (1 point each):
Structure: short-term structure aligns with direction
Impulse Body: body > average body
Volume: volume > volume MA
BB Trend + Expand: price on trend side + BB width expanding
RSI + ATR: RSI threshold + ATR expanding
Interpretation:
4–5/5 = STRONG → Hold / Trail
2–3/5 = MID → Take partial / be cautious
0–1/5 = WEAK → Higher chance of fakeout
4) How to use (practical)
Enable BB plots and arrows
Wait for BUY/SELL signal
Check HUD score:
4–5: higher follow-through probability
2–3: quick TP / reduced size
0–1: skip or wait for better confirmation
Works well on 5m–15m (intraday) and 1H (smoother swings).
5) Notes
This is not a standalone holy grail—best used with support/resistance and market structure context.
Volatile news periods may produce multiple band breaks—use squeeze/cooldown filters accordingly.
