GK1 Long only Daily Trend Strategy Max 4 Positions Risk-BasedThis strategy buys strong uptrends on the daily chart, risks a fixed % of capital per trade, limits how many trades are open at once, and exits using a trailing volatility stop or when the trend weakens.
What kind of market does this work best in?
1.Strong, persistent trends
2.Index ETFs, sector ETFs, large-cap stocks
3.Bull markets or strong sector rotations
It will underperform in:
Sideways markets
Choppy ranges
High-frequency reversals
The market condition this is looking for " A healthy, established uptrend"
It only goes LONG (no shorts) and only when all of these are true:
Short-term trend is up:
14-day moving average > 50-day moving average
Long-term trend is bullish:
Price is above the 200-day moving average
Primary trend is improving:
200-day MA is rising (today > yesterday)
Volume is normal (not dead, not crazy):
Avoids illiquid days and blow-off spikes
Translation: “I only buy when the market is already strong and behaving normally.”
It can hold up to 4 positions at the same time
Designed for multiple signals across time, not over-trading
You choose a Risk % per trade (default = 1%)
That means: If the stop loss is hit, you lose ~1% of your total account
It uses ATR (Average True Range):
ATR measures how much the market normally moves
Stop loss = 2.5 × ATR
Position size =
(1% of account) ÷ stop distance
So:
Volatile market → smaller position
Calm market → bigger position
Exit #1: Trailing ATR stop (main exit)
Tracks the highest close since entry
Stop moves up only, never down
If price reverses by ~2.5 ATR → exit
📌 Translation:
“Let winners run, cut losers automatically.”
Exit #1: Trailing ATR stop (main exit)
Tracks the highest close since entry
Stop moves up only, never down
If price reverses by ~2.5 ATR → exit
📌 Translation:
“Let winners run, cut losers automatically.”
المتوسطات المتحركة
VP-PeriodVP-Period (VPOC S/R + 2 Strongest Levels) — Optimized
A clean, volume-based support & resistance map built from real traded activity.
VP-Period is a Volume Profile (VPOC) indicator that analyzes the last N days and finds the price level where the most volume was traded (VPOC — Volume Point of Control). From those VPOC levels, it automatically filters and displays the 2 strongest Support zones (BUY) and 2 strongest Resistance zones (SELL) closest to the current price — giving you a simple, high-signal “price roadmap” without clutter.
✅ Key Features
1) VPOC over N Days (True Volume Profile logic)
Builds a volume distribution across price bins (high resolution) to identify the dominant traded price.
VPOC often behaves like a magnet level, a pivot, and a high-probability reaction zone for pullbacks and retests.
2) “2 Strongest S/R” Auto Filter (Clean & Practical)
Instead of drawing dozens of levels, VP-Period selects only what matters:
2 nearest Supports below price → BUY▲ zones
2 nearest Resistances above price → SELL▼ zones
Uses a confirmed-bar reference close so zones don’t jump around during a live candle (more stable, less noise).
3) Session POC (Tokyo / London / New York) — Real-Time
Calculates and plots Session POC (the most traded price within each session) while the session is running.
Perfect for traders who operate around Tokyo range, London expansion, and NY continuation/reversal behavior.
4) Session Profile Bias Table (UP / DOWN / NEUTRAL)
Tracks recent Session POC shifts and summarizes the session profile as:
UP → POC shifting higher (bullish pressure)
DOWN → POC shifting lower (bearish pressure)
NEUTRAL → no clear shift (choppy/range conditions)
🎯 How It Helps You Trade Better
Stop chasing price: Wait for price to come into BUY/SELL zones based on real volume acceptance.
Higher-quality entries: Use these zones as retest/reversal areas with your confirmation (candles, RSI, structure, etc.).
Smarter targets & risk: VPOC/POC levels provide natural TP/SL references (mean reversion targets, reaction zones, pivots).
Better session context: Session POC + Bias helps you trade with the session “story” instead of guessing.
Best For
Gold (XAUUSD) & Forex intraday traders
Traders who want clean S/R (only the strongest levels, no clutter)
Session-based traders: Tokyo / London / New York
Ultra-Compact MTF EMAsimple indicator which shows you the trend on other timeframes. fully customizable
EMA 50 / EMA 200 Crossoversimple indicator to use with the others. this one gives a signal when ema 50 crosses 200. you can set an alert and snipe the best entry!
MTF EMA Cross Labels perfect indicator to make trading on your phone easier. all info on 1 screen.
ema's are adjustable
MATATABI SP Ver.1Specifications & Features
This indicator is a comprehensive tool designed to monitor trend inception (Squeeze), key reversal zones (Smart SR), and market context (Range Analysis) on a single chart. It is updated for Pine Script v6.
1. 10 Moving Averages (MA)
Spec: Displays a total of 10 Moving Averages.
Defaults: All set to EMA (Exponential Moving Average) with periods 20, 25, 30, 35, 40, 45, 50, 55, 60, 65 (increments of 5).
Customization: Period, type (SMA, EMA, SMMA, WMA), color, and width for each line can be adjusted in the settings.
Visibility: MA01-MA08 are visible by default; MA09-MA10 are hidden by default.
2. MA Squeeze Detection Alert
Feature: Detects when all 10 MAs contract (cluster together) and flatten out, indicating potential energy buildup for a move.
Behavior: No background color change on the chart; it functions purely as an Alert condition configurable in TradingView.
Logic: Triggered when the spread between the highest and lowest MA is below a specific ATR threshold AND the slope of the longest MA is near zero.
3. Smart Support & Resistance (Smart SR)
Zone Display: Draws Support/Resistance as zones (bands) rather than thin lines. The width adapts automatically based on volatility (ATR).
Auto-Removal on Break: When price breaks through a zone, the line stops extending to the right automatically. This ensures only currently active/unbroken levels remain visible on the chart.
Significance Filter: Filters out minor noise, using a longer Pivot length (15) to identify only significant peaks and troughs. It also prevents drawing duplicate zones near existing ones.
Multi-Timeframe (MTF): Can display SR zones from a higher timeframe (e.g., 4H SR on a 15m chart) alongside current timeframe zones.
4. Range Analysis
Range Detection: Visualizes consolidation areas (boxes) based on price deviation and volume analysis.
Info Dashboard: Displays a table (top-right) showing the range strength and a statistical "Directional Probability (Bullish/Bearish %)" for the potential breakout.
Breakout Signals: Highlights the box border and triggers alerts when price breaks out of the detected range.
仕様と特徴
このインジケーターは、トレンドの初動（スクイーズ）、重要な反発ポイント（レジサポ）、**現在の相場環境（レンジ解析）**を1つのチャートで監視するための複合ツールです。Pine Script v6に対応しています。
1. 10本の移動平均線 (MA)
仕様: 合計10本の移動平均線を表示します。
初期設定: すべて**EMA（指数平滑移動平均線）**で、期間は 20, 25, 30, 35, 40, 45, 50, 55, 60, 65（5刻み）に設定されています。
カスタマイズ: 各ラインの期間、種類（SMA, EMA, SMMA, WMA）、色、太さは設定画面から変更可能です。
表示制御: MA01〜MA08はデフォルトで表示、MA09〜MA10は非表示設定です。
2. MA収縮（スクイーズ）検知アラート
特徴: 10本のMAが密集し、かつ傾きが平坦になった状態（エネルギーが溜まっている状態）を検知します。
動作: チャートの背景色は変更せず、アラート通知のみを行う仕様です（設定画面でアラート条件を作成可能）。
判定ロジック: 「MA全体の最大幅がATRの一定倍率以下」かつ「長期MAの傾きがほぼゼロ」の場合に検知します。
3. スマート・レジサポ (Smart Support & Resistance)
ゾーン表示: 単なる線ではなく、価格帯（ゾーン）として描画されます。幅はボラティリティ（ATR）に基づいて自動調整されます。
ブレイクで自動消去: 価格がゾーンを実体でブレイク（上抜け/下抜け）すると、そのラインは「役割を終えた」と判断され、右側への延長が自動的に停止します。これにより、チャート上には「現在有効なレジサポ」のみが残ります。
重要度フィルター: 小さな値動きを除外し、目立つ山や谷（Pivot期間15）のみを抽出して描画します。また、既存のラインと近い場合は重複して描画しません。
マルチタイムフレーム (MTF): 現在足のレジサポに加え、上位足（例: 15分足チャートに4時間足のレジサポ）を同時に表示可能です。
4. レンジ解析 (Range Analyzer)
レンジ検出: 価格の乱高下と出来高を分析し、レンジ相場をボックスで可視化します。
情報テーブル: チャート右上に、レンジの強度や、過去の統計に基づいた**「ブレイク方向の確率（強気/弱気 %）」**を表示します。
ブレイクアウト: レンジを抜けた際に、ボックスの色を変化させ、アラートを通知します。
HMA Trend Scalper V1[wjdtks255]
Overview
This indicator is a high-performance trend-following system optimized for crypto futures trading. It provides clear entry signals and dynamic, real-time risk management tools to help traders stay on the right side of the market.
Key Features
Dynamic Trend Tracking: Uses a specialized HMA (Hull Moving Average) to filter market noise and identify the core trend.
Real-time TP/SL Extension: Unlike static indicators, the Take Profit (TP) and Stop Loss (SL) lines extend candle-by-candle along with the price action.
Clean Chart UI: Lines only exist from the entry point to the current candle, preventing chart clutter.
Automatic Completion: Once the price hits a target, the line stops extending and marks the result (Target Hit or Stop Out).
Trading Strategy (How to Trade)
1. Long Entry (🚀 LONG)
Condition: The price must be above the trend line, and a breakout of the recent 5-candle high must occur with significant volume.
Action: Enter a Long position when the "🚀 LONG" label appears.
Exit: Hold until the price reaches the Cyan (Aqua) TP line or hits the Yellow SL line.
2. Short Entry (💀 SHORT)
Condition: The price must be below the trend line, and a breakdown of the recent 5-candle low must occur with significant volume.
Action: Enter a Short position when the "💀 SHORT" label appears.
Exit: Hold until the price reaches the Cyan (Aqua) TP line or hits the Yellow SL line.
3. Risk Management
Stop Loss: The indicator automatically calculates the optimal SL based on recent volatility (ATR) and swing points.
Take Profit: The TP is set at a calculated ratio to ensure a positive risk-to-reward setup.
Settings
Trend Sensitivity: Adjust the HMA length to match your preferred timeframe (Scalping vs. Swing).
Volume Multiplier: Filter out weak moves by increasing the volume breakout requirement.
Custom Styles: Fully customize line colors, widths, and styles (Solid, Dashed, Dotted) in the settings menu.
EMA/Volume/Institutional Candle [ChartCode]EMA / Volume / Institutional Candle
This is a trend + momentum + smart money confirmation indicator.
🔹 WHAT THIS INDICATOR SHOWS
1️⃣ EMAs (Trend Direction)
EMA 9 (Yellow) – Fast momentum
EMA 20 (Orange) – Short-term trend
EMA 50 (Blue) – Swing trend
EMA 200 (Green / Red) – Major trend filter
Weekly EMA 200 (Purple) – Big institution / MF trend
📌 Rule
Price above EMA 200 → Bullish bias
Price below EMA 200 → Bearish bias
2️⃣ EMA 9 & 20 Crossover (Entry Trigger)
BUY label → EMA 9 crosses above EMA 20
SELL label → EMA 9 crosses below EMA 20
⚠️ Never trade crossover alone. Always confirm with:
EMA 50 / EMA 200
Volume
Institutional candle
3️⃣ High Volume Zones (Smart Money Activity)
Blue background =
Volume > (20-period avg volume × 1.5)
📌 Meaning:
Institutions are active
Breakouts & reversals become reliable
4️⃣ Institutional Candles (Most Important)
🔍 Important Note: How Institutional Candles Are Displayed
Institutional Candles do NOT change candle color or body shape.
They look exactly like normal candles on the chart.
✅ How to Identify Institutional Candles
Move (hover) the crosshair over the moving averages
When your cursor aligns with the EMA lines,
👉 Institutional Candles will get highlighted with a colored border
🎯 Border Meaning
🟢 Green border → Bullish Institutional Candle
🔴 Red border → Bearish Institutional Candle
These borders indicate smart money / institutional participation, not retail candles.
🧠 Why This Design Is Intentional
Keeps the chart clean and uncluttered
Avoids confusing candle colors
Highlights institutional activity only when you analyze carefully
Encourages confirmation-based trading, not impulsive entries
📌 Institutions don’t want attention — this logic reflects that behavior.
How to Use This in Trading
Identify trend using EMA 200
Wait for high volume zone
Hover crosshair to spot institutional candle
Use candle high/low as decision level
Enter only after EMA 9–20 confirmation
🎯 How This Indicator Helps You Trade
✔ Quickly spot trend direction with multi-EMA alignment
✔ Identify high-probability entries with EMA 9/20 crossover + volume confirmation
✔ Find institutional zones for sniper-style entries
✔ Filter fake breakouts using volume spikes
✔ Perfect for stocks, indices, crypto, and forex
Purra Buy Sell Signalsindicator.lk's purra buy sell is a precision-tuned indicator designed specifically for XAU/USD (Gold) 5-minute scalping. It combines a smoothed trend-filter (based on a multi-stage EMA cascade with adaptive smoothing) and an ATR-based trailing stop logic to generate high-confidence Buy and Sell signals directly on the price chart.
Ideal for short-term traders seeking clean, responsive entries with minimal lag, this tool helps you:
Catch early trend reversals
Avoid choppy false signals
Execute fast scalps during active gold sessions (London & Asian overlap)
Built with risk-aware logic and visual clarity in mind—green labels = long opportunities, red labels = short setups. Fully compatible with alerts for automated trade execution.
Optimized for XAUUSD on the 5-minute timeframe. Works best during high-liquidity hours.
🛠️ How to Use (for Gold 5-Minute Scalping)
Apply to Chart: Add the indicator to XAU/USD (Gold) on the 5-minute timeframe.
Signal Interpretation:
Green "Buy" label below bar: Strong bullish momentum—consider long entry.
Red "Sell" label above bar: Strong bearish momentum—consider short entry.
Confirmation Tips:
Trade only when the background ribbon or trend line (if enabled) aligns with the signal direction (green = uptrend, red = downtrend).
Avoid signals during major news events or low volatility (e.g., late NY session).
For higher accuracy, combine with price action (e.g., rejection candles, break of micro structure).
Risk Management:
Use tight stop-losses just beyond recent swing points.
Target 1:1 or 1:2 risk-reward; gold moves fast on 5M!
Alerts: Enable TradingView alerts on “Purra Long” / “Purra Short” conditions for real-time notifications.
3-5-9 Drift / Ultra-fast EMA drift indicator for scalping.3-5-9 Drift is a lag-reduced EMA-based indicator designed specifically for scalpers trading 1–2 minute charts. It uses a dual EMA structure (3 and 5 periods) to calculate a fast-reacting drift line that leads micro price swings, then measures it's position relative to a hidden 9-period SMA (optional) baseline to determine short-term directional bias.
Key Features:
• Clean visual ribbon: Drift line is filled relative to the invisible SMA-9, showing bullish or bearish pressure without cluttering the chart.
• Ultra-fast swing detection: EMA(3,5) combination reacts ahead of the 9-SMA, giving scalpers early signals for micro-trend changes.
• Dynamic momentum visualization: Ribbon fill instantly shows whether momentum is bullish (above SMA-9) or bearish (below SMA-9), and the fill width conveys the strength of the move.
• Minimal chart clutter: Unlike traditional two-line ribbons, the SMA-9 is hidden on the back of the ribbon fill, keeping the chart clean and readable, even during fast market moves.
How to read it:
• Bullish bias: Drift line above the SMA-9 → ribbon colored bullish (default red).
• Bearish bias: Drift line below the SMA-9 → ribbon colored bearish (default blue).
• Swing strength: The greater the distance between the drift line and the SMA-9, the stronger the directional pressure.
Use Cases:
• Scalping ultra-short-term swings
• Quickly identifying early momentum shifts
• Visualizing short-term trend direction without clutter
Design Philosophy:
The 3-5-9 Drift was built for scalpers. By hiding the SMA-9 line and using a fast dual-EMA drift, traders can spot swings instantly while keeping charts readable, making it ideal for fast-moving markets on 1–2 minute timeframes.
BULL Whale Finder + BTC 1hBULL Whale Finder + BTC 1h is a long-only strategy designed to capture strong impulsive moves in Bitcoin.
It trades expansion (Whale) bars that appear in the direction of the trend, confirmed by the 200-period moving average on both 1H and 4H, with price holding above the 20-period moving average.
Entries focus on impulsive moves that originate from structural zones, not late breakouts.
Risk management is fully automated:
ATR-based initial stop
Automatic profit protection (Pay-Self)
Adds and partial exits based on the expansion-bar sequence
A protected runner managed with a trailing stop
The user only sets the risk per trade (MLPT).
All other parameters are hardcoded and locked to prevent over-optimization.
👉 Ready for backtesting, discretionary execution, or full automation.
9/21 EMA Strategy"Disclaimer: I am not a SEBI Registered Investment Advisor. This script is for educational purposes only and should not be considered financial advice. Trading involves significant risk. Please consult your financial advisor before making any investment decisions based on this tool."Trading involves significant risk. This tool is for educational purposes and should be used alongside your own analysis.
Quantum Cortex AI [Pro Strategy] - Adaptive Neural EngineQuantum Cortex AI — Adaptive Neural Engine
Introduction Welcome to the future of algorithmic execution. Quantum Cortex AI is not just an indicator; it is a complete trading ecosystem engineered through advanced machine learning modeling. Designed to solve the eternal dilemma of modern trading—Lag vs. Noise—this system utilizes a non-linear "Quantum" processing core that adapts its sensitivity in real-time based on Volume Flow and Statistical Variance.
Unlike traditional linear tools, Quantum Cortex does not see "time"; it sees market activity. It distinguishes between true market reversals and dangerous consolidation zones ("whipsaws"), protecting your capital until high-probability conditions are met.
🧠 The "Black Box" Core
This script operates on a proprietary adaptive logic developed to filter out market noise.
Neural Adaptation: The trend line adjusts its speed based on volatility. In fast markets, it reacts instantly. In chopping markets, it hardens to prevent false signals.
SigmaGuard Technology: An internal volatility filter that detects "Dead Zones" (sideways markets) and disables trading until a genuine breakout occurs.
🛡️ Strategic Engines (Dual Mode)
The system features a professional-grade backtesting panel with two distinct execution architectures, allowing you to adapt to different market conditions:
MODE 1: Trend Following (Trailing ATR)
Philosophy: "Let the winners run."
Mechanism: The system identifies a trend and activates a dynamic Trailing Stop based on the Average True Range (ATR).
Benefit: As the price explodes in your favor, the stop-loss moves up automatically, locking in profits while giving the trade room to breathe.
MODE 2: Precision Scalp (Math-Based Target)
Philosophy: "Sniper entries with guaranteed net profit."
Smart Fee Calculation: You input your exchange fee (e.g., Binance Taker 0.1%). The algorithm automatically calculates the Breakeven Point + Fees (Entry/Exit) + Desired Net Profit.
Execution: It places a precise Limit Order at the exact mathematical target.
Safety Net: If the target is not hit, the system utilizes a Reversal Stop, closing the trade immediately if the trend changes, preventing winning positions from turning into losses.
💰 Capital Growth Engine
Includes a built-in Money Management module:
Fixed Equity: Trade with a static amount per trade (e.g., $1,000).
Compound Mode: Activate "Compound Interest" to automatically reinvest profits from previous trades into the next entry, testing the potential for exponential account growth.
⚙️ Optimization & Setup
This algorithm has been specifically fine-tuned for high-leverage environments:
Asset: BTC/USDT (Bitcoin Perpetual).
Exchange: Optimized for Binance Futures (Standard Taker Fee: 0.1%).
Timeframes: Works on 1H timeframe.
🔒 Access
Quantum Cortex AI is a premium Invite-Only script. The source code is protected to maintain the integrity of the proprietary strategy.
The market evolves. So should your tools.
Disclaimer: Past performance is not indicative of future results. This tool is for educational and assistance purposes only. Always use proper risk management.
MIDAS Institutional Flow👑"MIDAS™ is an institutional-grade system for our private trading community. Access is restricted to ensure high-quality signals and support.🚀
Air Gap Value for ScreenerAir Gap Value for Screener on 4 hours time frame which screen stock that have potential gap
Long Only - Double EMA + SessionOverview
This is a high-probability Long-Only trend-following strategy designed primarily for the 65-minute and 4-hour timeframes. It utilizes a dual-layered filter system to align trades with both macro and mid-term market momentum, ensuring entries only occur during healthy uptrends. The strategy is optimized for volatile, high-growth assets like TSLA and MSFT.
How It Works
The strategy relies on three primary pillars of technical analysis to confirm an "A+" setup:
Macro Trend Filter (200 EMA): We only look for long opportunities when the price is above the 200-period Exponential Moving Average. This keeps the strategy on the right side of the long-term trend and avoids "buying the dip" during major bear markets.
Momentum Filter (50 EMA): The 50 EMA acts as a local trend filter. By requiring price to be above both EMAs, we ensure the medium-term momentum is also bullish.
The Trigger (Stochastic RSI): We enter when the Stochastic RSI K-line crosses above the 20 level (Oversold). This identifies local "oversold" pullbacks within a larger uptrend.
Risk Management & Exit Plan
This strategy is built with professional-grade capital preservation in mind:
Trailing Stop-Loss: A 5% trailing stop follows the price as it moves in our favor. This protects unrealized profits and helps mitigate the drawdown during sudden reversals.
Dynamic Profit Target: The strategy exits automatically if the Stochastic RSI K-line reaches the 97 level, capturing gains at the peak of momentum.
Session Filter: To avoid the "noise" of pre-market and low-volume afternoon trading, the strategy is restricted to the Market Open (9:30 AM EST) window where institutional volume is highest.
Backtesting Notes
Realistic Simulation: This strategy includes a 0.05% commission and 2 ticks of slippage to reflect real-world execution costs.
Recommended Assets: Optimized for Nasdaq-100 components and high-volume growth stocks.
Timeframe: Best performance found on 65m or 4h intervals.
BUY Sell Signal (Kewme)//@version=6
indicator("EMA Cross RR Box (1:4 TP Green / SL Red)", overlay=true, max_lines_count=500, max_boxes_count=500)
// ===== INPUTS =====
emaFastLen = input.int(9, "Fast EMA")
emaSlowLen = input.int(15, "Slow EMA")
atrLen = input.int(14, "ATR Length")
slMult = input.float(1.0, "SL ATR Multiplier")
rr = input.float(4.0, "Risk Reward (1:4)") // 🔥 1:4 RR
// ===== EMA =====
emaFast = ta.ema(close, emaFastLen)
emaSlow = ta.ema(close, emaSlowLen)
plot(emaFast, color=color.green, title="EMA Fast")
plot(emaSlow, color=color.red, title="EMA Slow")
// ===== ATR =====
atr = ta.atr(atrLen)
// ===== EMA CROSS =====
buySignal = ta.crossover(emaFast, emaSlow)
sellSignal = ta.crossunder(emaFast, emaSlow)
// ===== VARIABLES =====
var box tpBox = na
var box slBox = na
var line tpLine = na
var line slLine = na
// ===== BUY =====
if buySignal
if not na(tpBox)
box.delete(tpBox)
if not na(slBox)
box.delete(slBox)
if not na(tpLine)
line.delete(tpLine)
if not na(slLine)
line.delete(slLine)
entry = close
sl = entry - atr * slMult
tp = entry + atr * slMult * rr // ✅ 1:4 TP
// TP ZONE (GREEN)
tpBox := box.new(
left=bar_index,
top=tp,
right=bar_index + 20,
bottom=entry,
bgcolor=color.new(color.green, 80),
border_color=color.green
)
// SL ZONE (RED)
slBox := box.new(
left=bar_index,
top=entry,
right=bar_index + 20,
bottom=sl,
bgcolor=color.new(color.red, 80),
border_color=color.red
)
tpLine := line.new(bar_index, tp, bar_index + 20, tp, color=color.green, width=2)
slLine := line.new(bar_index, sl, bar_index + 20, sl, color=color.red, width=2)
label.new(bar_index, low, "BUY", style=label.style_label_up, color=color.green, textcolor=color.white)
// ===== SELL =====
if sellSignal
if not na(tpBox)
box.delete(tpBox)
if not na(slBox)
box.delete(slBox)
if not na(tpLine)
line.delete(tpLine)
if not na(slLine)
line.delete(slLine)
entry = close
sl = entry + atr * slMult
tp = entry - atr * slMult * rr // ✅ 1:4 TP
// TP ZONE (GREEN)
tpBox := box.new(
left=bar_index,
top=entry,
right=bar_index + 20,
bottom=tp,
bgcolor=color.new(color.green, 80),
border_color=color.green
)
// SL ZONE (RED)
slBox := box.new(
left=bar_index,
top=sl,
right=bar_index + 20,
bottom=entry,
bgcolor=color.new(color.red, 80),
border_color=color.red
)
tpLine := line.new(bar_index, tp, bar_index + 20, tp, color=color.green, width=2)
slLine := line.new(bar_index, sl, bar_index + 20, sl, color=color.red, width=2)
label.new(bar_index, high, "SELL", style=label.style_label_down, color=color.red, textcolor=color.white)
EMA Spread Exhaustion DetectorEMA Spread Exhaustion – Reversal Scalper's Tool
Identifies trend exhaustion for high-probability counter-trend entries. Triggers when EMA(4/9/20) stack is fully aligned and spread stretches beyond ±ATR threshold. Ideal confluence for TDI hooks + strong rejection candles on 15s charts. Visual markers, fills, and alerts for quick scalps.
TWR of Bill WilliamsThis indicator was taken from the book “Trading Chaos Pt 1” by Bill Williams.
TWR contains 3 Moving Averages
Ripple - MA with 5 bars length
Wave - MA with 13 bars length
Tide - MA with 34 bars length
According to Bill Williams, you should take only a long position if the Ripple(5 bars length) is higher than Wave(13) and Tide(34).
Also, you should take only a short position, if the Ripple (the fastest MA) is lower than Wave MA and Tide MA(slowest MA).
This indicator is also used if you want to fill in the Profitunity Trading Partner table.
BiasFlow Long System🔹 Short summary
“BiasFlow Long System” is an invite-only, long-only strategy designed to participate in bullish trends using a combination of:
• a directional “bias” filter based on price behaviour over time, and
• candle-structure conditions that confirm short-term strength before entering,
plus a simple risk-management layer (stop loss and optional take profit).
The system is intentionally selective: it aims to enter only when a clear upward bias and a cluster of bullish price action align, and then to exit on opposite conditions or risk-based levels. It is NOT a holy grail and NOT financial advice.
────────────────────────
0. Legal / risk disclaimer
────────────────────────
• This script is invite-only and for EDUCATIONAL and RESEARCH purposes only.
• It is NOT financial advice and does NOT guarantee profits.
• Backtest results can differ significantly from live trading results.
• Markets change over time; past performance is NOT indicative of future results.
• You are fully responsible for your own trading decisions and risk.
Do not trade with money you cannot afford to lose. Always start with demo / paper trading and make sure you understand how the strategy behaves on your own market and timeframe before risking real capital.
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1. About default settings and risk (very important)
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The internal `strategy()` call uses:
• `initial_capital = 100`
→ This is only a simple example account size for testing.
• `default_qty_type = strategy.percent_of_equity`
• `default_qty_value = 100`
→ This means 100% of equity per trade in the default properties.
→ This is EXTREMELY AGGRESSIVE and should be treated purely as a STRESS TEST of the logic, **not** as a realistic way to trade.
To align with TradingView’s Strategy Results guidelines and more realistic risk management, you should:
1. Open **Strategy Settings → Properties**.
2. Change:
• Order size type → **Percent of equity** (if not already).
• Order size (percent) → e.g. **1–2%** per trade (or any small risk that fits your plan).
3. Check that **commission & slippage** are realistic for your broker and market.
• The script uses a 0.1% example commission and a small slippage value as a starting point, but you must adapt them to your conditions.
If you decide to run 100% of equity per trade, treat it only as a stress scenario for backtesting the behaviour of the system, **never** as a recommended risk profile for live trading.
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2. What this strategy tries to do (conceptual overview)
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BiasFlow Long System is a **long-only, bias-based trend participation strategy**.
Conceptually, it tries to:
1. Detect when the market has a **sustained upward directional bias** using an internal bias filter applied directly to price behaviour over time.
2. Wait for a **short-term cluster of bullish candles** in that favourable environment before entering a long position.
3. Use **risk-based exits** (stop loss and optional take profit) together with a bearish candle-structure condition to close trades when the upward bias fails or local conditions deteriorate.
In other words, it is not trying to catch every small fluctuation. Instead, it waits for the market to **lean upward** and then demands a clear, short-term confirmation from the candles before committing capital, exiting either on a controlled risk level or on a structured bearish pattern.
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3. Components and how they work together
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BiasFlow Long System consists of three main building blocks:
(1) Time / backtest window control
• You can select a continuous start/end date range.
• You can also use a **year-selector** (checkboxes per year) to include or exclude specific calendar years.
• This allows you to:
- test the strategy across long histories,
- compare behaviour in different regimes (e.g. 2018 vs 2021),
- avoid accidentally cherry-picking a tiny, overly-optimistic window.
(2) Bias engine
• Internally, the strategy computes a **directional bias** from price.
• It classifies the environment into broad states like “up”, “down” (and internally handles flat conditions).
• Long entries are only allowed when the bias engine deems the environment favourable (an “up” state).
• This prevents the strategy from buying blindly into obvious downtrends.
(3) Candle-structure and risk module
• Entry signals require a **cluster of bullish candles** that meet strict internal conditions.
- Exact rules are deliberately not disclosed, but the idea is to demand multiple aligned bullish bars to confirm local strength before entering.
• Exits can be triggered by:
- a **cluster of bearish candles** under suitable conditions, signalling local weakness, and/or
- the risk module (stop loss / take profit) if those levels are hit first.
These components are designed to work together so that the strategy only participates when:
• the broader environment supports longs (bias engine), and
• the immediate price action confirms that bullish pressure is actually present (candle structure),
while exits are handled in a rule-based way either by candle structure or by pre-defined risk thresholds.
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4. Entry & Exit logic (high level)
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At a high conceptual level:
A) Time filter
• Only bars inside your chosen backtest window (date range or selected years) are considered for entries and exits.
• This helps you analyse specific periods (e.g. only post-2020 data) without changing the code.
B) Entry (long-only)
A long trade is considered only when all of the following conceptual conditions are met:
1. The bar is inside the allowed backtest window.
2. The **bias engine** classifies the environment as favourable for longs (up-bias).
3. The most recent candles form a **bullish sequence** according to internal rules (e.g. price closing strongly vs. open on several consecutive bars).
If these conditions align, the strategy opens a **single long position** with the sizing defined in your Strategy Properties (for example 1–2% of equity per trade).
C) Risk-based exit
Once in a position, the strategy maintains a basic risk framework:
• **Stop Loss (SL)**:
- Defined as a percentage distance below the average entry price.
- Enabled by default in the Inputs, but you can adjust the percentage or disable it if you want to test raw logic.
• **Take Profit (TP)**:
- Also defined as a percentage distance above the average entry price.
- By default, the TP module is optional and configured as a very wide level so it does not interfere unless you intentionally enable and tune it.
- You should set a realistic TP (for example a multiple of your risk) if you want to use it.
The SL/TP orders are managed as OCO exits by TradingView, so if one is hit first, the other is cancelled automatically.
D) Candle-based exit
In addition to risk exits:
• The strategy watches for a **structured bearish sequence** of candles while the bias is still acceptable for exits.
• When that bearish structure appears, the strategy closes the open long position.
• This allows the system to respond to a change in short-term price behaviour even if the stop loss or take profit have not been reached yet.
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5. Recommended backtest configuration (to avoid misleading results)
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To keep your results in line with TradingView’s Strategy Results guidelines and avoid misleading curves:
1. **Initial capital**
- You can keep 100 as in the code or choose any other realistic account size.
2. **Order size (RISK PER TRADE)**
- Type: **Percent of equity**.
- Recommended: **1–2% per trade** as a starting point.
- Avoid using more than 5–10% risk per trade if you want something that could be sustainable in real trading.
3. **Commission & slippage**
- Commission: for example 0.1% if that approximates your broker’s fee.
- Slippage: a few ticks (e.g. 3) to represent real fills.
- Always adjust these to your instrument and broker conditions.
4. **Timeframe & markets**
- The system is designed to work on trending instruments (for example major crypto pairs or indices).
- Typical timeframes: 1D is reasonable starting points but you can try with 1H / 4H.
- On higher timeframes, trades will be rarer but may aim at larger swings.
5. **Avoid “caution warning” backtests**
- If TradingView shows warnings like “too few trades” or “insufficient data” in your chosen configuration, consider:
- expanding the backtest period,
- switching to a more liquid / volatile instrument, or
- changing timeframe to produce a more meaningful sample.
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5a. About low trade count and selective signals
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BiasFlow Long System is **not** a high-frequency scalping algorithm. It is deliberately selective:
• It is long-only.
• It requires a favourable bias environment AND a specific pattern of bullish candles before entering.
• On higher timeframes (e.g. Daily) or very strict filter settings, the strategy can produce a **relatively low number of trades** over many years of data.
TradingView often recommends having 100+ trades for stronger statistics. In this particular system:
• A lower trade count is a **conscious design choice**, reflecting the goal of focusing on a smaller set of higher-conviction long setups rather than constant trading.
• Because of this, backtest metrics (profit factor, win rate, etc.) should NOT be interpreted as statistically “proven” – they are just one sample of how this logic would have behaved on past data.
Always use caution when drawing conclusions from a small number of trades.
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6. How to use this strategy (step-by-step)
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1. **Add the script to your chart**
- Choose your instrument and timeframe (e.g. BTCUSDT 1D, or any trending symbol you want to study).
2. **Configure the backtest window**
- In the Inputs, set either:
- a specific Start Date (e.g. 2018-01-01), or
- use the year checkboxes to include/exclude calendar years.
- This allows you to test different regimes (pre-/post-halving, bull vs. bear, etc.).
3. **Adjust risk settings**
- Open Inputs → Risk Management:
- Choose whether to use the Stop Loss and/or Take Profit.
- Set realistic percentages for your market and volatility.
- Open Strategy Properties:
- Set order size to a realistic % of equity (e.g. 1–2%).
- Verify commission and slippage.
4. **Run the backtest**
- Inspect:
- Net Profit, Max Drawdown, Profit Factor
- Number of trades and average trade duration
- Equity curve shape (smooth vs. choppy).
5. **Experiment carefully**
- Try different symbols, timeframes, and risk settings.
- Observe how the system behaves in different market regimes and how sensitive it is to your parameter choices.
6. **Forward-test in demo**
- Before even considering live usage, run the system on a paper account and watch how signals appear in real time.
- Make sure the behaviour matches your expectations from the backtest.
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7. Originality and usefulness (why this is more than a mashup)
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BiasFlow Long System is not just a visual mashup of common indicators on a chart. It is a **coherent, bias-driven framework** with:
• A dedicated **time / regime control** (year and date filters) to study behaviour across multiple cycles.
• An internal **bias engine** that only allows trades when the market structure supports longs.
• A **candle-structure layer** that requires a sequence of aligned bullish or bearish bars, rather than isolated single-bar signals.
• A simple but practical **risk module** that integrates percentage-based SL/TP exits.
The core logic is intentionally abstracted and not publicly disclosed, but the conceptual design is:
• to combine directional bias,
• with short-term confirmation,
• under explicit risk-management constraints,
in a way that is testable, repeatable, and suitable as a base for further private research and improvement.
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8. Limitations and good practices
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• No strategy performs well in all markets and all conditions.
• This system is **long-only**, so in prolonged bear markets it may spend long periods out of the market or perform poorly.
• Performance is sensitive to:
- timeframe,
- instrument volatility,
- risk settings (SL/TP, position size).
Good practices:
• Test on multiple instruments and timeframes.
• Focus on drawdowns, stability, and robustness, not just on maximum profit.
• Avoid overfitting by constantly re-optimising parameters to your last backtest window.
• Treat this as a **framework and research tool**, not a plug-and-play money printer.
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9. Licensing and credits
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• Code and logic:
- “BiasFlow Long System” created by Jokiniemi Marcin Arcisz.
• This script is invite-only.
• If you reuse or extend ideas from this system, please do so in a way that respects TradingView’s House Rules and the author’s intent.
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10. Invite-only / vendor information
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• This strategy is distributed on an **invite-only** basis.
• There is **no guarantee of profit** and no claim that this strategy will outperform the market.
• The description focuses on the conceptual design and risk considerations so that TradingView users and moderators can understand what it tries to do and how to use it responsibly.
• Any access, subscription, or collaboration outside TradingView, if it exists, should always comply with TradingView’s Vendor Requirements and general House Rules.
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11. Example backtest settings used in screenshots
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To avoid confusion about how example results were produced, here is one concrete configuration you can use as a starting point:
• Symbol: BTCUSDT (or another major, liquid trending pair)
• Timeframe: 1D
• Backtest period: from 2018-01-01 to the most recent available data
• Initial capital: 100
• Order size type: Percent of equity
• Order size: 2% per trade
• Commission: 0.1%
• Slippage: 3 ticks
• Risk settings:
- Stop Loss enabled with a moderate % distance from entry
- Take Profit disabled or set to a realistic multiple of the risk
• Filters:
- Backtest window: multiple years selected
- Bias engine and candle-structure logic enabled (as they are part of the core system)
If you change any of these parameters (symbol, timeframe, risk per trade, commission, slippage, backtest window, etc.), your results will look different. Always adapt the configuration to your own risk tolerance, market, and trading style.
Multi Moving Average (EMA / SMA) - 4 Periods📈 Indicator Overview – Multi Moving Average (EMA / SMA)
This indicator is designed to help traders analyze trend direction and market structure using multiple moving averages in a single, clean tool.
The user can select the type of moving average—either Exponential Moving Average (EMA) or Simple Moving Average (SMA)—from the settings panel. Once selected, the indicator plots up to four different moving average periods simultaneously, such as 20, 50, 100, and 200, using the chosen MA type.
Each moving average:
Has its own configurable period
Can be individually enabled or disabled
Can be assigned a custom color for easy visual identification
This flexibility allows traders to:
Identify short-, medium-, and long-term trends at a glance
Analyze trend alignment and strength
Spot dynamic support and resistance zones
Adapt the indicator easily for scalping, swing trading, or positional trading
Because the calculations are based purely on price data and standard MA formulas, the indicator is non-repainting, lightweight, and reliable, making it suitable for both discretionary and systematic trading.
In short, this is a versatile, all-in-one moving average indicator that eliminates the need to add multiple MA indicators separately, keeping the chart clean and focused.
Delta/Volume Bubble Strategy [Quant Z-Score] Maxxed VersionDelta/Volume Bubble Signals Maxxed Verison
This indicator combines advanced volume delta analysis with smart filtering to generate high-conviction intraday signals on futures like YM, ES, and NQ (5-minute charts perform particularly well in testing).
Special thanks to L&L Capital for the LNL Trend System, which provides the excellent dynamic chop detection and cloud visuals used here.
A very BIG thanks to tncylyv for the original volume delta bubble script — its Z-score normalization on extreme volume/delta is the foundation of the core detection logic.This entire system is now possible thanks to TradingView's addition of Volume Delta data in the Footprint chart, allowing accurate lower-timeframe delta aggregation without external feeds. Core Concept the indicator identifies extreme volume/delta spikes — moments when significant buying or selling pressure appears — and only signals when multiple confluence filters align. This results in lower-frequency, higher-quality trades that aim to capture institutional momentum while avoiding noise.
How It Works — Key Components Volume Delta Detection (The Heart of the System) Uses TradingView's built-in footprint delta (aggregated from lower TF, default 1-second bars).
Calculates absolute delta and applies a rolling Z-score (default lookback 60 bars) to normalize extremes across different volatility regimes and instruments.
Bubbles visualize spikes above threshold (default 1.7σ).
BUY/SELL signals require the same threshold plus additional filters.
Absorption Filter (Enabled by Default) Detects high volume/delta with minimal price movement ("effort vs result" failure = trapped traders).
Purple glow on bubbles + optional alert.
Signals are suppressed on absorption bars to avoid counter-trend traps.
Trend Filter (Nadaraya-Watson from jdehorty as default) Non-repainting kernel regression line for smooth, adaptive trend following.
Signals only fire when price is on the correct side of the trend line (above for longs, below for shorts). Can be disabled or switched to EMA/WMA/KAMA.
LNL Chop Filter (Tight Mode by Default) Dynamic ATR-based stop zones from L&L's system.
When stop levels appear on both sides of price = sideways/chop (no-go zone).
Signals completely suppressed during chop.
Usage Tips Best on intraday futures (YM 5-min has shown strong results in testing).
Defaults are tuned for balance: 1.7σ threshold, Tight LNL mode, absorption on.
Strategy version (separate script) adds LNL trailing stops for actual backtesting/exits.
Customize freely — try different LNL modes (Net for wider range), trend types, or Z-thresholds.
Also available the matching indicator by yours truly.
Important: Forward Test Thoroughly This indicator was refined on historical data, so there's always risk of over-fitting.
Always forward test on live or paper accounts for weeks/months before real capital: Validate across different market regimes (trending, ranging, high/low volatility).
Compare out-of-sample periods.
Adjust one parameter at a time and re-validate forward.
Markets change — what worked yesterday may need tweaking tomorrow.
Feel free to use, modify, and share. Good luck, and trade well! — Max
Delta/Volume Bubble Signals [Quant Z-Score] Maxxed Version Delta/Volume Bubble Signals Maxxed Verison
This indicator combines advanced volume delta analysis with smart filtering to generate high-conviction intraday signals on futures like YM, ES, and NQ (5-minute charts perform particularly well in testing).
Special thanks to L&L Capital for the LNL Trend System, which provides the excellent dynamic chop detection and cloud visuals used here.
A very BIG thanks to tncylyv for the original volume delta bubble script — its Z-score normalization on extreme volume/delta is the foundation of the core detection logic.This entire system is now possible thanks to TradingView's addition of Volume Delta data in the Footprint chart, allowing accurate lower-timeframe delta aggregation without external feeds. Core Concept the indicator identifies extreme volume/delta spikes — moments when significant buying or selling pressure appears — and only signals when multiple confluence filters align. This results in lower-frequency, higher-quality trades that aim to capture institutional momentum while avoiding noise.
How It Works — Key Components Volume Delta Detection (The Heart of the System) Uses TradingView's built-in footprint delta (aggregated from lower TF, default 1-second bars).
Calculates absolute delta and applies a rolling Z-score (default lookback 60 bars) to normalize extremes across different volatility regimes and instruments.
Bubbles visualize spikes above threshold (default 1.7σ).
BUY/SELL signals require the same threshold plus additional filters.
Absorption Filter (Enabled by Default) Detects high volume/delta with minimal price movement ("effort vs result" failure = trapped traders).
Purple glow on bubbles + optional alert.
Signals are suppressed on absorption bars to avoid counter-trend traps.
Trend Filter (Nadaraya-Watson from jdehorty as default) Non-repainting kernel regression line for smooth, adaptive trend following.
Signals only fire when price is on the correct side of the trend line (above for longs, below for shorts). Can be disabled or switched to EMA/WMA/KAMA.
LNL Chop Filter (Tight Mode by Default) Dynamic ATR-based stop zones from L&L's system.
When stop levels appear on both sides of price = sideways/chop (no-go zone).
Signals completely suppressed during chop.
Signals & Visuals
BUY: Small blue "BUY" label below bar.
SELL: Small red "SELL" label above bar.
CLOSE LONG: Tiny dark grey "CLOSE" label above bar (on opposite SELL signal or stop hit).
CLOSE SHORT: Tiny dark grey "CLOSE" label below bar (on opposite BUY signal or stop hit).
No overlap — closes only appear on actual exit/reversal bars.
Alerts (Fully Separate)Individual toggles for:
BUY Signal
SELL Signal
CLOSE LONG (opposite SELL)
CLOSE SHORT (opposite BUY)
Absorption Detected
Unusual Volume/Delta
Usage Tips Best on intraday futures (YM 5-min has shown strong results in testing).
Defaults are tuned for balance: 1.7σ threshold, Tight LNL mode, absorption on.
Strategy version (separate script) adds LNL trailing stops for actual backtesting/exits.
Customize freely — try different LNL modes (Net for wider range), trend types, or Z-thresholds.
To backtest and optimize using the matching strategy which I created as well.
Important: Forward Test Thoroughly This indicator was refined on historical data, so there's always risk of over-fitting.
Always forward test on live or paper accounts for weeks/months before real capital: Validate across different market regimes (trending, ranging, high/low volatility).
Compare out-of-sample periods.
Adjust one parameter at a time and re-validate forward.
Markets change — what worked yesterday may need tweaking tomorrow.
Feel free to use, modify, and share. Good luck, and trade well! — Max
