Liquidity Sweep Breakout - LSBLiquidity Sweep Breakout - LSB
A professional session-based breakout system designed for OANDA:USDJPY and other JPY pairs.
Not guesswork, but precision - built on detailed observation of institutional moves to capture clear trade direction daily.
Master the Market’s Daily Bank Flow.
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Strategy Detail:
I discovered this strategy after carefully studying how Japanese banks influence the forex market during their daily settlement period. Banks are some of the biggest players in the financial world, and when they adjust or settle their accounts in the morning, it often creates a push in the market. From years of observation, I noticed a consistent pattern, once banks finish their settlements, the market usually continues moving in the same direction that was formed right after those actions. This daily banking flow often sets the tone for the entire trading session, especially for JPY pairs like USDJPY.
To capture this move, I built the indicator so that it follows the bank-driven trend with clear rules for entries, stop-loss (SL), and take-profit (TP). The system is designed with professional risk management in mind. By default, it assumes a $10,000 account size, risks only 1% of that balance per trade, and targets a 1:1.5 reward-to-risk ratio. This means for every $100 risked, the potential profit is $150. Such controlled risk makes the system safer and more sustainable for long-term traders. At the same time, users are not limited to this setup, they can adjust the account balance in the settings, and the indicator will automatically recalculate the lot size and risk levels based on their own capital. This ensures the strategy works for small accounts and larger accounts alike.
🌍 Why It Works
Fundamentally driven: Based on **daily Japanese banking settlement flows**.
Session-specific precision: Targets the exact window when USDJPY liquidity reshapes.
Risk-managed: Always calculates lot size based on account and risk preferences.
Automatable: With webhook + MT5 EA, it can be fully hands-free.
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✅ Recommended
Pair: USDJPY (best observed behavior).
Timeframe: 3-Minute chart.
Platform: TradingView Premium (for webhooks).
Execution: MT5 via EA.
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🔎 Strategy Concept
The Tokyo Magic Breakout (TMB) is built on years of session observation and the unique daily rhythm of the Japanese banking system.
Every morning between 5:50 AM – 6:10 AM PKT (09:50 – 10:10 JST), Japanese banks perform daily reconciliation and settlement. This often sets the tone for the USDJPY direction of the day.
This strategy isolates that critical moment of liquidity adjustment and waits for a clean breakout confirmation. Instead of chasing noise, it executes only when price action is aligned with the Tokyo market’s hidden flows.
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🕒 Timing Logic
Session Start: 5:00 AM PKT (Tokyo market open range).
Magic Candle: The 5:54 AM PKT candle is marked as the reference “breakout selector.”
Checkpoints: First confirmation at 6:30 AM PKT, then every 15 minutes until 8:30 AM PKT.
* If price stays inside the magic range → wait.
* If a breakout happens but the candle wick touches the range → wait for the next checkpoint.
* If by 8:30 AM PKT no clean breakout occurs → the day is marked as No Trade Day (NTD).
👉 Recommended timeframe: 3-Minute chart (3M) for precise signals.
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📈 Trade Execution
Entry: Clean break above/below the magic candle’s range.
Stop-Loss: Opposite side of the Tokyo session high/low.
Take-Profit: Calculated by Reward\:Risk ratio (default 1.5:1).
Lot Size: Auto-calculated based on your risk model:
* Fixed Dollar
* % of Equity
* Conservative (minimum of both).
Visuals include:
✅ Entry/SL/TP lines
✅ Shaded risk (red) and reward (green) zones
✅ Trade labels (Buy/Sell with lot size & levels)
✅ TP/SL hit markers
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🔔 Alerts & Automation (AutoTMB)
This strategy is fully automation-ready with EA + MT5:
1. Enable alerts in TMB settings.
2. Insert your PineConnector License Key.
3. Configure your risk management preferences.
4. Create a TradingView alert → in the message box simply type:
Pine Script®
{{alert_message}}
and set the EA webhook.
Now, every breakout trade (with exact entry, SL, TP, and lot size) is sent instantly.
👉 On your MT5:
* Install the EA.
* Use the same license key.
* Run it on a VPS or local MT5 terminal.
You now have a hands-free trading system: AutoTMB.
Penunjuk dan strategi
Cruzamento Mágico-EMA 5/21 + Stop ATR + Filtro BTC 30mOf course, here is a brief description of the strategy in English.
**Triple Confirmation Swing Trading Strategy**
This strategy aims to capture trend-based movements in crypto assets by using a triple confirmation system to filter entry signals and increase the probability of success.
The conditions for a trade are:
1. **Entry Trigger (Timing):** The primary signal occurs when the 5-period Exponential Moving Average (EMA) crosses the 21-period EMA. A cross above suggests a buy, while a cross below suggests a sell.
2. **Asset Trend Filter:** An entry is only considered if the asset's own trend, as measured by the **ATR Stop** indicator, is moving in the same direction as the EMA crossover. This avoids entering trades against the local trend.
3. **Market Trend Filter (Bitcoin):** As a final confirmation, the strategy checks the trend of **Bitcoin (BTC) on a fixed 30-minute timeframe**, also using the ATR Stop. A trade is only executed if the BTC trend aligns with the asset's signal.
In short, the strategy only opens a **long** position if the EMAs cross up, the asset's ATR Stop is bullish, and the Bitcoin's ATR Stop is also bullish. The reverse applies for a **short** position.
ICT24 – First FVG + NDOG/NWOG (MNQ1! 1m)This indicator takes into account the information ICT shared in his Mentorship 2024. It marks the FFVG in 3 sessions and considers the NDOGs and NWOGs. In an A setup, it gives a signal.
TJR asia session sweepTJR asia session sweep
strategy("TJR asia session sweep", "TJR Asia Sweep"
use on indices
2 EMA Strategy (High & Low)2 EMA Strategy (High & Low) , User full to get entry and exit points based on moving average high and low. if a candle closes above high moving average, then its buy trade. Same if the candle closes below the lower moving average , then its sell trade.
BTC H4/D1 Bollinger Breakout Momentum Robot [AlgoChadLin]The Bitcoin H4 Bollinger Breakout Momentum is a specialized trading system meticulously crafted to capture the significant, high-volatility moves characteristic of the Bitcoin market.
This strategy prioritizes a favorable risk-reward ratio, focusing on quality over quantity. Its core philosophy is to identify and ride major trend breakouts using a Bollinger Band channel combined with a weighted price channel. It aims to catch large-scale movements that can generate substantial returns, potentially building wealth with just a few successful trades.
Strategy Logic
Breakout Entry: The strategy's primary entry signals are triggered by a confirmed breakout from a consolidating market. It uses a dual-moving average channel (Bollinger Bands) to identify when price is moving from a sideways range into a clear trend. The entry order is placed with a stop mechanism, ensuring a trade is only executed when the momentum is strong and confirmed.
Weighted Price Channel: To refine entry points, the strategy uses a unique weighted price channel. This channel is derived from a custom calculation of high, low, and close prices, providing a more sensitive and dynamic measure for placing pending orders.
Dual-Layered Exits: The strategy manages trades with a dual-layered exit approach. It uses a fixed take-profit to secure large gains, reflecting the strategy's focus on big-picture moves. Additionally, a monthly close is used as a hard stop-loss, providing a robust higher-timeframe protection against major reversals.
Move-to-Breakeven: To protect capital, the strategy includes a move-to-breakeven feature. Once a position reaches a certain level of profit, the stop-loss is automatically adjusted to a breakeven point plus a small buffer, eliminating the risk of a losing trade.
Parameters
Bollinger Bands Period: Defines the lookback period for the Bollinger Bands, which helps to determine the breakout points for entry.
HMA Period: Sets the period for the Hull Moving Average, which serves as a dynamic exit signal.
Price Channel Period: Defines the lookback period for the weighted price channel, which influences the entry price.
Entry Price Multiplier: Adjusts the distance of the pending order from the weighted price channel.
Profit Target Percentage: A percentage value that sets the take-profit level based on the entry price.
Move-to-Breakeven Trigger: A value in ticks that determines when to move the stop-loss to breakeven.
Breakeven Ad
ditional Pips: A value in ticks that adds a buffer to the breakeven stop-loss.
Setup
Timeframe: H4/D1, the higher the better.
Asset: This strategy is specifically designed for Bitcoin (BTC) and its characteristic large price swings. Its focus on big-picture moves and high volatility makes it a suitable tool for capturing Bitcoin's explosive potential.
Ichimoku + Daily Candle X + Hull MA X + MACD Ichimoku + Daily-Candle X + Hull MA X + Hull‑Based MACD — Strategy Description
A high-confluence, multi-indicator strategy that blends trend, momentum, and multi-timeframe confirmation to deliver precision entries for traders of all levels.
Core Components & Trading Logic
Ichimoku Cloud (Trend Confirmation)
Confirms trend direction using Senkou Span A & B. A bullish bias is triggered when Span A > Span B, and bearish when vice versa.
Daily Candle Cross (Multi-Timeframe Momentum)
Compares today’s daily close with yesterdays. A bullish signal arises when today's price exceeds yesterdays, providing higher-timeframe momentum context.
Hull MA Cross (Fast, Smooth Trend Detection)
Utilizes Hull Moving Average, known for its rapid responsiveness and smooth behavior. A bullish signal occurs when the current HMA crosses above the previous HMA.
Hull-Based MACD (Filtered Momentum)
Derived by subtracting a slow HMA from a fast HMA to form the MACD line, with the signal line being another HMA of that difference. Bullish when MACD > Signal.
Strategy Benefits
Multi-Layer Confirmation: Armed with trend (Ichimoku), momentum (Daily Candle), quick signal (HMA), and noise-filtered momentum (Hull MACD), this approach filters out weak signals for higher-quality entries.
Adaptive & Smooth: Hull-based indicators offer the speed of rapid responsiveness while maintaining smoothness—ideal for dynamic market environments.
Customizable & Scalable: Easily tweak input parameters to align with your preferred market, timeframe, and risk thresholds.
EMA 1/8 Cross - Fixed Pip TP/SLEMA 1/8 Cross – Fixed Pip TP/SL
This strategy is based on the crossover between EMA 8 and EMA 14 as trading signals:
Long entry → when EMA 1 crosses above EMA 8
Short entry → when EMA 1 crosses below EMA 8
Features:
Fixed pip Take Profit (TP) and Stop Loss (SL), fully adjustable in the settings.
Customizable EMA Fast/Slow lengths for optimization.
Pip size input to match different broker definitions (e.g., XAUUSD often uses 0.10 as one pip).
Suitable for testing scalping or swing trading across multiple timeframes.
⚠️ Disclaimer:
This script is intended for backtesting and educational purposes only. Please optimize parameters and apply proper risk management before using it on live accounts.
Crypto H4 Multi-TF Reversal & Momentum Robot [AlgoChadLin]The Crypto H4 Multi-TF Reversal & Momentum Robot is a sophisticated, multi-faceted trading system designed for the H4 timeframe. This robot uniquely combines multi-timeframe analysis with candlestick patterns and volatility indicators to identify and capitalize on major market reversals and momentum shifts. Its core strength lies in its ability to pinpoint significant turning points while ensuring trades are only entered in the direction of confirmed movement.
Strategy Logic
Multi-Timeframe Entry Logic : The strategy's primary entry signals are generated by identifying when the current price hits the previous month's high or low. This provides a robust, higher-timeframe confirmation of major support and resistance levels, filtering out noise from the H4 chart.
Momentum-Based Entry : To avoid false reversals, the robot executes trades with a stop-order entry mechanism. The long entry is placed above the Bollinger Bands upper band, while the short entry is placed below the lower band. This ensures trades are only triggered when price action confirms the reversal with a burst of momentum.
Dynamic Risk Management : Positions are managed with both a dynamic stop-loss and a fixed take-profit. A TEMA (Triple Exponential Moving Average) acts as a dynamic stop-loss, trailing the price to protect against sudden reversals.
Pattern-Based Exits : The strategy incorporates classic candlestick patterns like the Bullish Piercing and Dark Cloud Cover for early, signal-based exits. This helps to lock in profits or mitigate losses when a reversal of the current trend is detected. A time-based stop also prevents trades from stagnating for too long.
Parameters
Bollinger Bands Period: Defines the lookback period for the Bollinger Bands, which helps to define the stop-order entry price.
TEMA Period: Sets the period for the Triple Exponential Moving Average, which acts as the dynamic stop-loss.
Profit Target: A fixed value in points that determines the take-profit level.
Entry Price Multiplier: Adjusts the distance of the stop-order from the Bollinger Bands.
Exit After Bars: Specifies the maximum duration a trade can be open before being automatically closed.
Setup
Timeframe: 4-Hour (H4)
Asset: While optimized for Bitcoin, this strategy's logic is applicable to other volatile cryptocurrencies like ETH and BNB . We encourage you to backtest it on these assets to find the best settings for your trading.
Quarterly-Inspired EMA Swing Strategy🚀 Quarterly EMA Strategy: Simplified
This strategy uses quarterly trends and pullbacks to EMAs (Exponential Moving Averages) to buy low and sell high in strong uptrends (longs) or short weak stocks in strong downtrends.
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🔧 Core Setup
• Timeframe: Quarterly (1 candle = 3 months or ~65 trading days).
• Stocks: Liquid NSE F&O stocks (e.g., Reliance, Bajaj Finance, Tata Motors, etc.).
• Indicators Used:
• 10-quarter EMA → Shorter-term trend.
• 21-quarter EMA → Long-term trend.
• 13-week EMA → Weekly confirmation.
• ATR → For stop-loss.
• VIX → Volatility control.
• Relative Strength vs Nifty → Filter strong/weak stocks.
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🟢 LONG SETUP (Buy on Pullback in Uptrend)
✅ Conditions:
1. Quarterly Trend is Bullish
Price > 10Q EMA > 21Q EMA
2. Pullback Happens
Price closes within 3% of 10Q or 21Q EMA, or touches it and bounces.
• E.g., Stock close = 8200, 10Q EMA = 8000 → Pullback = Valid (2.5% gap)
3. Previous Trend is Strong
• Last 1-2 quarters were making higher highs OR closing well above 10Q EMA
4. Candle Shows Rejection
• Lower wick (buying pressure from EMA)
• Small body (<5% total candle range)
5. Market Support Filters
• Nifty > its 4-quarter EMA (sloping upward)
• India VIX < 20 (low panic)
• Stock’s last 2 quarters’ return > 1.1× Nifty’s return
6. Weekly Confirmation
• Price > 13-week EMA
• 13W EMA is rising
• Bullish pattern in last 2 candles
• Volume ≥ 75% of 20-week average
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📈 Example (Bajaj Finance):
• Close: 8200,
• 10Q EMA: 8000 (bullish),
• 21Q EMA: 7800
• Weekly price > 13W EMA → Confirmation ✅
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🎯 Trade Plan (Long):
• Entry: 8200 (Quarterly) or near 13W EMA (Weekly)
• Stop-Loss: 2× ATR below 21Q EMA or candle low
• Target: 2:1 reward
• Exit 1: Book 50% at target
• Exit 2: Trail 21Q EMA
• Optional Hedge: Buy Nifty PUT if VIX > 15
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🔴 SHORT SETUP (Sell on Pullback in Downtrend)
✅ Conditions:
1. Quarterly Trend is Bearish
Price < 10Q EMA < 21Q EMA
2. Pullback to EMA
Price closes within 3% of 10Q or 21Q EMA, or touches and gets rejected
3. Prior Trend is Down
Last 1-2 quarters had lower lows or closing >5% below 10Q EMA
4. Bearish Candle Setup
• Upper wick (rejection from EMA)
• Small body
5. Market Support Filters
• Nifty < its 4-quarter EMA (sloping down)
• India VIX < 20
• Stock’s 2-quarter return < 0.9× Nifty’s return
6. Weekly Confirmation
• Price < 13-week EMA
• 13W EMA is falling
• Bearish candles (engulfing, lower highs)
• Volume ≥ 75% of 20-week average
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📉 Example (Vodafone Idea):
• Close: ₹8
• 10Q EMA: ₹8.2 → Close is 2.5% below
• Weekly close < 13W EMA
• Bearish candle → Confirmation ✅
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🔻 Trade Plan (Short):
• Entry: 8
• Stop-Loss: 2× ATR above 21Q EMA or candle high
• Target: 2:1 reward
• Exit 1: Book 50% at target
• Exit 2: Trail 21Q EMA
• Optional Hedge: Buy Nifty CALL if VIX > 15
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📊 Position Sizing (Same for Long & Short):
• Risk per trade: 0.5–1% of total capital
• Example:
• Capital = ₹10 lakh
• Risk = ₹10,000
• Stop = 800 points → Buy 12 shares
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✅ Exit Rules Summary
Amazin FX Bot 2What this strategy does
This strategy implements a UT-style ATR trailing stop with a simple flip logic:
Long bias when price is above the dynamic ATR stop and a 1-period EMA crosses above the stop.
Short bias when price is below the stop and the 1-EMA crosses below it.
Once in a position, the script attaches a bracket: stop-loss and take-profit expressed in ticks from the average fill price.
Optional Heikin-Ashi source can be used to smooth signals (calculated via request.security() — no lookahead).
It’s designed to be simple, reproducible, and easy to optimize on intraday charts.
How to use
Add to chart (any market/timeframe). Default settings are conservative.
Choose source:
Keep Heikin-Ashi = off to use the regular chart price, or
Turn Heikin-Ashi = on to compute signals from HA close (entries/exits can shift vs. regular candles—this is expected).
Set your brackets in ticks:
Stop Loss (ticks)
Take Profit (ticks)
These are multiplied by the symbol’s syminfo.mintick.
Position sizing:
Contracts per trade controls fixed size. (Pyramiding is off—one position per side.)
Backtest window:
Use From and To dates to constrain the test to a specific period.
Run the backtest and tune inputs.
Alerts (optional): create a strategy alert with “Order fills only” to be notified on entries/exits.
自适应移动平均线通道策略（成交量加权+权重平滑）Signal Generation: Buy Signal: Price crosses above the upper band (▲).
Sell Signal: Price crosses below the lower band (▼).
Trading Logic: Long Entry: Opens a position on upper band breakout.
Close Position: Closes on lower band breakout or 3% stop-loss trigger.
Visualization: FRAMA Line: Green for bullish, orange for bearish trends.
Candle Coloring: Green for bullish, red for bearish.
Upper/Lower Bands: Semi-transparent green (upper) and orange (lower).
Signal Markers: Buy (green ▲ below bars), sell (red ▼ above bars).
Use Cases Ideal for trending markets (e.g., stocks, futures, forex), especially where volume drives price action.
Suitable for various timeframes (e.g., 1-minute, 1-hour, daily), with parameter tuning advised.
Operating InstructionsAdding the Strategy Copy and paste the code into TradingView’s Pine Script editor (version 6) and save.
Add to chart: Click “Add to Chart” to overlay on the price chart.
Parameter Settings Source: Select price data type (e.g., “close,” “hl2,” default: “close”).
Average Length: Set FRAMA period (default: 50, adjust for timeframe).
Base RAA Multiplier: Base channel width multiplier (default: 1.15, higher values widen channels).
Weight Smoothing Period: EMA period for volume weight smoothing (default: 50).
Show Trend Signals: Enable to display buy/sell signals (default: enabled).
Color Candles Based on Trend: Enable candle coloring by trend (default: enabled).
Bullish/Bearish Candle Color: Customize colors (default: green for bullish, red for bearish).
Chart Output FRAMA Line: Adaptive average, green for bullish, orange for bearish.
Upper/Lower Bands: Semi-transparent green/orange, volume-adjusted.
Signal Markers: Buy (green ▲ below bars), sell (red ▼ above bars).
Candle Coloring: Bullish candles green, bearish red.
Trading Execution Automated Trading: Enable in Strategy Tester for automatic trade execution.
Stop-Loss: Fixed at 3% below entry price.
Initial Capital: Default 100,000 (adjustable).
Backtesting and Optimization Review metrics (win rate, profit factor, drawdown) in Strategy Tester.
Optimization tips: Short timeframes (e.g., 1-minute): Reduce length (e.g., 10–20) and weight_smooth (e.g., 10–20).
Volatile markets: Increase raa_mult_base (e.g., 1.5–2.0).
自适应移动平均线通道策略This strategy leverages the Fractal Adaptive Moving Average (FRAMA) to construct dynamic price channels, generating buy (long) and sell (short) signals based on price breakouts.
Signal Generation: Buy Signal: Triggered when price crosses above the upper band (▲).
Sell Signal: Triggered when price crosses below the lower band (▼).
Trading Logic: Long Entry: Opens a position when price breaks above the upper band.
Close Position: Closes long position on a short signal or when the 3% stop-loss is hit.
Visualization: FRAMA line displayed in green (bullish) or orange (bearish).
Candles colored based on trend (green for bullish, red for bearish).
Upper and lower bands plotted in semi-transparent green/orange.
Buy/sell signals marked with arrows (▲ for buy, ▼ for sell).
Use Cases Ideal for trending markets (e.g., stocks, futures, forex).
Applicable across timeframes (e.g., 1-minute, 1-hour, daily), with parameter tuning recommended.
Operating InstructionsAdding the Strategy Copy and paste the code into TradingView’s Pine Script editor and save.
Add to chart: Click “Add to Chart” to overlay the strategy on the price chart.
Parameter Settings Source: Select the price data type (e.g., “close,” “hl2,” default: “close”).
Average Length: Set the FRAMA calculation period (default: 50, adjust based on timeframe).
RAA Multiplier: Controls channel width (default: 1.15, higher values widen the channel).
Show Trend Signals: Enable to display buy/sell signals on the chart (default: enabled).
Color Candles Based on Trend: Enable to color candles by trend (default: enabled).
Bullish/Bearish Candle Color: Customize candle colors (default: green for bullish, red for bearish).
Chart Output FRAMA Line: Shows the adaptive average, green for bullish trends, orange for bearish.
Upper/Lower Bands: Semi-transparent green (upper) and orange (lower) bands indicate price range.
Signal Markers: Buy signals (green ▲ below bars) and sell signals (red ▼ above bars).
Candle Coloring: Bullish candles in green, bearish in red.
Trading Execution Automated Trading: Enable in TradingView’s Strategy Tester to execute trades based on signals.
Stop-Loss: Fixed at 3% below entry price for long positions.
Initial Capital: Default set to 100,000 (adjustable as needed).
Backtesting and Optimization Review performance metrics (win rate, profit factor, drawdown) in the Strategy Tester.
Optimize parameters based on market and timeframe: Short timeframes (e.g., 1-minute): Reduce length (e.g., 10–20).
High-volatility markets: Increase raa_mult (e.g., 1.5–2.0).
ICT – Sweep + FVG + Displacement The ICT (Inner Circle Trader) strategy is a sophisticated trading philosophy rooted in institutional market behavior. It revolves around understanding how large players manipulate price to trigger retail stop-losses, create liquidity, and execute their orders. At its core, ICT focuses on market structure, identifying Higher Highs, Lower Lows, and shifts that signal potential reversals. Key concepts include Order Blocks—zones where institutions placed significant orders—and Fair Value Gaps (FVG), untraded areas that price tends to return to. The Liquidity Grab is a crucial phase: price sweeps through key levels to trap retail traders before reversing. Traders use higher timeframes (H4/H1) for structure analysis and lower ones (M15/M5) for precise entries. Entries occur after a Market Structure Shift, confirmed by FVG fill or OB retest, with strict risk management. A minimum 3:1 risk-reward ratio ensures long-term profitability. The strategy demands deep market awareness, patience, and discipline. It’s not about indicators, but about reading the "invisible hand" of the market—where supply and demand meet, and where smart money moves. For advanced traders, ICT offers a window into the true mechanics of price action, transforming trading from speculation into strategic insight. It’s not just a method—it’s a mindset.
EMA and BB Analysis for US100 V250825This TradingView strategy generates buy and sell signals based on exponential moving average (EMA) crossovers, limited by other factors such as Bollinger Bands, volume, and EMA distance.
It uses EMAs of 16, 24, 32, and 64 periods, as well as the angles of each of these EMAs.
Entry Conditions:
EMA Crossover Entry:
When EMA16 crosses EMA64 and the following conditions are met:
EMA16, EMA24, EMA32 are aligned — for a buy signal:
EMA16 > EMA24
EMA24 > EMA32
EMA32 > EMA48
(and the opposite for a sell signal)
EMA Angles:
The angles of the EMAs must also follow the same alignment.
Divergence Entry:
When the distance between EMAs 16, 24, 32, and 48 increases.
Entry Limitations:
Once an entry is detected, it is filtered by several conditions:
When the distance between the entry candle and EMA96 is more than two candles of the maximum size over three periods.
The stop loss is set as two candles of the maximum size over three periods. If this stop loss exceeds 6,000 points (adjustable parameter), the entry is invalid.
When the price is at the edge of the Bollinger Band with a 1200-period setting (equivalent to a 1-hour Bollinger Band).
When the Bollinger Band's middle line is descending and a buy signal is triggered (and vice versa).
When volume drops below a certain threshold.
When a sideways market movement is detected.
All these entry limitations are configurable parameters and can be enabled or disabled.
RSI Overbought and oversoldStrategy Description:
The RSI Overbought and Oversold strategy is a powerful trading system designed to capture reversals at extreme RSI levels. This strategy enters trades when the RSI reaches overbought or oversold conditions and exits based on user-defined profit targets measured in RSI points.
How It Works:
Long Entries: When RSI crosses above 70 (overbought level)
Short Entries: When RSI crosses below 30 (oversold level)
Profit Targets: Exit when RSI moves a specified number of points from entry
Customizable: All levels and targets are fully configurable
Key Features:
Flexible Exit Options: Choose your preferred profit target in RSI points (0-30 points)
Advanced Filtering: Built-in ATR volatility filter and volume confirmation
Visual Information Panel: Real-time data display with configurable positioning
Alert System: Get notified for entries and exits
Universal Compatibility: Works across all markets and timeframes
User Configuration Options:
RSI Length (default: 14)
Entry Levels (Long: 70, Short: 30)
Profit Targets in RSI points (default: 7 points)
ATR Volatility Filter (on/off)
Volume Confirmation Filter (on/off)
Panel Position (8 available locations)
For Beginners:
This strategy is perfect for both new and experienced traders. You don't need to understand programming - simply adjust the settings to match your trading style. The visual signals and information panel make it easy to follow trades.
Performance:
The strategy has shown consistent performance across various assets including stocks, forex, and cryptocurrencies. The risk-managed approach with customizable targets helps maintain favorable risk-reward ratios.
Additional Tools:
You can enhance this strategy by adding any RSI indicator from TradingView's extensive library to monitor the RSI values more closely.
Risk Management:
Always test any strategy with historical data and use proper risk management. The strategy includes volatility filters to avoid trading during uncertain market conditions.
e-guard1. trend strategy for ethusdt 30m, buy long only
2. kalman filter as trend line
3. use atr to calculate the upper&lower band
4. buy long when break upper band, use trend line as stop loss
5. calculate the position size based on the maximum tolerable loss per position
Quantura – Quantitative AlgorithmIntroduction
“Quantura – Quantitative Algorithm” is an algorithmic trading strategy written in Pine Script that combines technical indicators with fundamental market assessments. It was primarily developed for volatile crypto markets but can also be applied to Forex, equities, or indices with proper adjustments. The strategy works across multiple timeframes and generates automated buy and sell signals based on a wide range of market and sentiment data. Its goal is to produce robust trading signals through confluence across several analytical layers, without making unrealistic profit promises.
Originality & Value
Quantura stands out due to its unique combination of features: In addition to classic indicators, it incorporates customizable fundamental analysis and sentiment inputs that allow flexible adaptation to current market conditions. Unlike simpler strategies, the user can manually set the fundamental bias (bullish/bearish/neutral) and market sentiment, making the strategy more cautious or aggressive as needed.
Furthermore, Quantura combines multiple timeframes : a higher timeframe (HTF, e.g., daily) and a lower timeframe (LTF, e.g., intraday). This approach allows long-term trends to be aligned with short-term entry signals.
Key components include:
Market Structure Analysis: Identifies higher highs and lower lows on the higher timeframe.
Order Block Filter: Detects significant price levels (order blocks) with strong volume to filter out weak entries.
Exponential Moving Averages (EMA): Adjustable HTF EMA filter for trend confirmation.
Adaptive Premium/Discount Zones: Defines overvaluation (premium) and undervaluation (discount) areas based on HTF highs and lows.
Candlestick Pattern Recognition: Optional detection of specific candle formations (Hammer, Shooting Star, Engulfing, Marubozu, etc.).
Correlation Filter (optional): Cross-checks correlations between the main asset and a reference asset (e.g., SPY).
Functionality & Indicators
The strategy uses an RSI-based entry trigger as its primary signal: When the RSI (default: 10 periods) exits overbought/oversold zones, a potential long or short signal is created. However, an entry is only executed if all selected confluence filters align .
Quantura also integrates fundamental bias : The user-defined inputs for “Market Sentiment” and “Fundamental Analysis” add a bullish, bearish, or neutral weighting to the decision logic. An optional correlation filter compares price changes of the target asset with a reference symbol, confirming or rejecting trades based on correlation strength.
When all conditions are met, Quantura opens a position. Pyramiding is disabled (only one active trade at a time). Exits are managed primarily with ATR-based targets and stops , calculated dynamically from market volatility. Optional breakeven stops and session-end exits provide additional trade control.
Parameters & Customization
Quantura provides extensive input parameters for flexible configuration:
Time & Session Settings: HTF and LTF selection, trade direction (Long/Short/Both), trading session hours, weekday filters.
Filters: Enable or disable filters such as HTF structure, order blocks (with customizable volume multiplier), premium/discount zones, high-volume zones, HTF EMA filter, candlestick pattern filter, and ATR volatility filter.
RSI Entry Settings: RSI length and thresholds for overbought/oversold.
Fundamental Settings: Current market sentiment and fundamental analysis inputs (bullish/bearish/neutral).
Correlation Settings: Reference asset and correlation strength (High/Low).
Exit Rules: ATR-based TP/SL multipliers, optional breakeven logic, session-end exits, and opposite-signal exits.
Visual Settings: Enable or disable buy/sell signals, trend candles, custom colors, and the built-in dashboard.
Backtesting & Performance
Backtests on BTCUSD (2 years) showed:
72 trades
46% win rate
Profit factor: 1.6
Maximum drawdown: 10%
These results demonstrate moderate profitability with controlled risk. However, with only 72 trades in two years, statistical reliability is limited. TradingView generally recommends over 100 trades for meaningful results.
Risk Management
Quantura includes several built-in risk management mechanisms:
ATR-based TP/SL: Dynamic profit targets and stop-losses based on ATR multiples.
Position sizing: Default is 100% equity (for backtests). In practice, smaller allocations (5–10%) are strongly recommended.
Breakeven stop (optional): Moves SL to entry price after a predefined profit threshold.
Opposite-signal exit: Closes and reverses trades when a contrary signal appears.
Session-end exit: Automatically closes intraday positions at the end of a trading session.
Limitations & Market Conditions
Quantura is most effective in volatile, liquid markets like crypto. In low-volatility sideways markets, signals may be less reliable. Unexpected news events can also invalidate signals, regardless of technical/fundamental bias.
Backtest results are based on BTCUSD. For other markets (Forex, equities, indices), parameter adjustments are required. Users should conduct their own extended backtests before live usage.
Usage Guide
Add to chart: Apply “Quantura – Quantitative Algorithm” in strategy mode.
Set timeframes: Choose HTF (e.g., 1D) and LTF (e.g., 5m). Define trade direction and sessions.
Configure filters: Enable/disable confluence filters as needed.
Set fundamentals: Enter current sentiment and fundamental bias.
Define exits: Adjust ATR multipliers, breakeven rules, and session-end exits.
Review signals: Check buy/sell markers, candle coloring, and the dashboard. Analyze in Strategy Tester.
Author & Access
The strategy was developed 100% by Quantura and is published as an Invite-Only script . Access is granted upon request. Instructions are available in the Author’s Instructions field (e.g., via the Quantura website).
Important: This description complies with TradingView’s official publishing rules. It avoids pricing or solicitation and provides a realistic, honest explanation of the strategy’s features and limitations.
3-Candle Reversal Pattern-vahid2star3-Candle Reversal Zones + Hammer Confirmation (with Risk Management & Alerts)
This script combines 3-candle reversal detection, hammer confirmations, and smart demand/supply zone plotting into a single tool designed for both discretionary and automated traders.
🔍 Core Logic
3-Candle Reversal Pattern
Candle-1: Strong move in one direction (big body).
Candle-2: Doji-like candle (high shadow/body ratio).
Candle-3: Reversal candle in the opposite direction (large body relative to Candle-2).
A gap after Candle-3 is required for extra confirmation.
Hammer Confirmation (Hammer-1 & Hammer-2)
After a valid 3-candle setup, the script searches for a hammer pattern near the zone.
Hammer-1: Draws a box directly on the hammer range if followed by a strong confirming candle.
Hammer-2: If another hammer forms after the confirmation candle and holds for N bars (configurable), a second hammer box is drawn.
Demand & Supply Zones
For bullish setups, a demand zone is created from the Candle-2 low to the Candle-1 low.
For bearish setups, a supply zone is created from the Candle-2 high to the Candle-1 high.
Zones extend to the right until price interacts with them.
🛠 Filters & Quality Controls
Trend filter (optional):
Only draw zones if price respects higher-timeframe EMA200 slope and LTF EMA alignment.
Market structure filter:
Require higher-high / higher-low (for bullish) or lower-high / lower-low (for bearish).
ATR filter:
Zones must have a minimum height relative to ATR.
Overlap control:
Avoid drawing zones that overlap too heavily with existing ones.
Cooldown:
Restrict consecutive zones of the same type within a user-defined bar distance.
🎯 Risk Management & Strategy
Dynamic position sizing:
Trade size is automatically calculated from account equity, risk %, and leverage.
Stop-loss & Take-profit:
SL placed just beyond the zone ± buffer ticks.
TP automatically set at user-defined Reward:Risk ratio (e.g., 3:1).
Capital protection:
Trades respect max leverage and risk per position settings.
⚡ Alerts
The script provides one-time alerts for each zone:
🔔 First Touch Alert → Triggered when price first touches a demand, supply, or hammer box.
Each zone only fires one alert, avoiding duplicates on re-touch or trade exit.
📊 Visuals
Demand zones: Green boxes.
Supply zones: Red boxes.
Hammer boxes: Blue (bullish) / Orange (bearish).
Used zones: Greyed out after price fills them.
Outcomes: Zones change to green if TP is hit, red if SL is hit.
Optional labels mark “Bullish zone ✓”, “Bearish zone ✓”, “Hammer-1 ✓”, or “Hammer-2 ✓” when confirmed.
🔧 Settings Overview
Core pattern ratios (C1/C2, C3/C2 size multipliers).
Doji definition (shadow/body ratio).
Hammer search depth, confirmation delay, and strictness.
Risk % per trade, leverage cap, stop buffer, RR ratio.
Visual styling (colors, max box count, labels).
Trend, structure, ATR, overlap, and cooldown filters.
Option to disable orders (use as indicator + alerts only).
⚠️ Disclaimer
This script is a technical analysis tool intended for educational purposes.
It does not guarantee profits. Use proper risk management and test thoroughly before applying in live trading.
✨ With its combination of 3-candle reversals, hammer confirmations, and smart filtering, this script is designed to reduce noise, highlight high-probability zones, and give traders both visual structure and actionable alerts.
🚀 BABINKS 5MN | Quick Profits BTC | PROFIT PROTECTION"Quick Profits BTC" Strategy
Automated trading algorithm designed to capture rapid movements on Bitcoin using short timeframes. The strategy combines institutional volume analysis with momentum indicators to identify optimal entry points.
Core Principle: Detection of validated breakouts through technical confirmation signals, with a rapid exit system favoring frequent small profits over occasional large gains.
Architecture:
Adaptive mode based on market volatility
Configurable directional management
Dynamic protection based on ATR
Session-optimized trading hours
Script_Algo - Day Range Breakout Strategy + Trend Filter📊 Overview
An enhanced version of the strategy based on daily high/low breakouts.
🔑 Key Improvements
1️⃣ Solved the repainting issue.
There are similar strategies in the community, but the historical results of those algorithms absolutely do not correspond to the results of real backtesting.
2️⃣ Added a trend filter.
In most cases, this makes it possible to achieve higher profitability. The trend filter is adjusted using the Lookback Period setting.
3️⃣ Choice of entry principle.
Implemented the ability to choose whether trades are opened based on closing prices or by high/low breakout, which allows finding the optimal settings for a specific instrument.
4️⃣ Improved entry/exit logic.
When an opposite signal appears, before entering a trade, the script first closes the previous position.
✅ This makes the strategy fully ready for algorithmic trading via webhook on any exchange that supports this function.
5️⃣ Better visualization.
🟥 Red and 🟩 green backgrounds indicate the trend direction.
⚙️ How It Works
The principle of the strategy is simple:
Wait for the breakout of the previous day’s high or low.
Enter long on a breakout of the high, or short on a breakout of the low.
Exit occurs on the breakout of the opposite extreme.
📈 This allows capturing long trends.
⚠️ But, like all similar strategies, in a sideways market it produces losing trades.
📌 Example Results
On the OP/USDT pair, this strategy showed about +280% profit in 3 years on the 4H timeframe,
while the coin itself grew only by about 50%.
🕒 Recommended Settings
Timeframe: 1H and higher
On lower timeframes → significant discrepancies may occur between historical and real backtesting data.
On higher timeframes → minor differences are possible, related to slippage, sharp moves, and other unpredictable situations.
⚠️ Important Notes
Always remember: Strategy results may not repeat in the future.
The market constantly changes, so:
✅ Monitor the situation
✅ Backtest regularly
✅ Adjust settings for each asset
Also remember about possible bugs in any algorithmic trading strategy.
Even if a script is well-tested, no one knows what unpredictable events the market may bring tomorrow.
⚠️ Risk Management:
Do not risk more than 1% of your deposit per trade, otherwise you may lose your account balance, since this strategy works without stop losses.
⚠️ Disclaimer
The author of the strategy does not encourage anyone to use this algorithm and bears no responsibility for any possible financial losses resulting from its application!
Any decision to use this strategy is made personally by the owners of TradingView accounts and cryptocurrency exchange accounts.
📝 Final Notes
The script is not published yet, as this is not the final version.
I already have ideas on how to improve it further, so follow me to not miss updates.
🐞 Bug Reports
If you notice any bugs or inconsistencies in my algorithm,
please let me know — I will try to fix them as quickly as possible.
💬 Feedback & Suggestions
If you have any ideas on how this or any of my other strategies can be improved, feel free to write to me. I will try to implement your suggestions in the script.
Wishing everyone good luck and stable profits! 🚀💰
Open=High & Open=Low StrategyJUST A SIMPLE HEIKENASHI OPEN LOW STRATEGY . YOU CAN BUT SELL BASED ON SIGNALS AND THIS STRATEGY IS HAVING AN OPTION TO FURTHER REDUCE RISK WITH OPTIONAL DOJI EXIT.
Just a simple heikenashi open low strategy. You can buy and sell based on signals and this strategy is having a optional doji exit to reduce ask
