Quick Penny Run-Up Scalping StrategyQuick Penny Run-Up Scalping Strategy. Use it for 15 min within two hours
指標和策略
Aroon, Velocity & RMS Volume Strategy📈 Strategy Name:
Aroon, Velocity & RMS Volume Strategy
By GabrielAmadeusLau
🧠 Strategy Overview
This strategy is a hybrid momentum-trend model designed to trade directional breakouts using Aroon Oscillator crossovers, volume acceleration (velocity), and trend confirmation via a Super Smoother filter. Trade entries are filtered by custom time windows, and position sizing is dynamically calculated using ATR-based risk parameters.
🧩 Core Components
🔶 1. Aroon Oscillator
Detects breakout points using the relative position of recent highs/lows.
Aroon Up > Aroon Down triggers long setups; the opposite for short.
A baseline shift (-50) centers the Aroon plots for symmetry.
📉 2. Super Smoother Trend Filter
A zero-lag digital filter (2-pole smoother) applied to price.
Acts as a directional bias confirmation:
Price must be above the smoother for longs.
Price must be below for shorts.
📊 3. Velocity of RMS Volume
Measures the rate of change of volume, enhanced with RMS normalization and bandpass filtering.
Entries are only taken when volume velocity is rising, indicating increasing market activity in the trade direction.
⚙️ Entry Conditions
✅ Long Entry
Aroon Up crosses above Aroon Down
Price is above the Super Smoother
Volume velocity is rising
Current hour is not excluded
✅ Short Entry
Aroon Down crosses above Aroon Up
Price is below the Super Smoother
Volume velocity is rising
Current hour is not excluded
🔒 Risk Management & Position Sizing
ATR-Based Stop Loss & Take Profit:
SL = entry price ± ATR × sl_mult
TP = entry price ± ATR × tp_mult
Fixed Dollar Risk per Trade ($):
Position size is auto-calculated using:
units
=
⌊
User Risk
Stop Distance
⌋
units=⌊
Stop Distance
User Risk
⌋
🕐 Time Filtering
User-defined option to exclude up to three hours from trading (e.g., during low-liquidity or poor-performance times).
Controlled via:
excludeHour toggle
excludeHour1, excludeHour2, excludeHour3
📺 Visuals and Plots
Aroon Up / Down: shifted to oscillate around 0 for visual clarity.
Super Smoother: thick red trend line over price.
Velocity: dynamically shaded area chart (teal = increasing, red = decreasing).
🧠 Advanced Features (Behind-the-Scenes)
Includes modular filters and custom smoothing techniques for expansion:
Jurik MA, Butterworth HP, Laguerre Filter, Tillson T3, Hann FIR, RMS Scaling
Modular ma() and velocity() functions enable future extension and dynamic experimentation.
✅ Strengths
Combines trend, momentum, and volume in a single signal framework.
Employs robust digital signal processing filters for noise reduction.
Custom position sizing + time filtering add risk control and flexibility.
CVD Divergence + Volume HMA RSI MACD StrategyHow the script works:
The script calculates the HMA for trend direction. The HMA (shown in orange) is used as a filter: long trades are taken only if price is above the HMA, and short trades when below.
The CVD is computed by cumulatively adding volume on up bars and subtracting volume on down bars.
Pivot routines (with the input "Pivot Length") detect swing lows/highs for both price and CVD. A bullish divergence is flagged when the price makes a lower low while the CVD makes a higher low. Similarly, a bearish divergence is flagged when the price makes a higher high while the CVD makes a lower high.
Trading is triggered when the divergence condition also agrees with the HMA filter.
Feel free to further adjust the parameters or add risk‐management/exit rules as needed for your trading style.
🧪 Yuri Garcia Smart Money Strategy FULL (Slope Divergence))📣 Yuri Garcia – Smart Money Strategy FULL
This is my private Smart Money Concept strategy, designed for my family and community to learn, trade, and grow sustainably.
🔑 How it works:
✅ Volume Cluster Zones: Automatically detects areas where strong buyers or sellers concentrate, acting as dynamic S/R levels.
✅ HTF Institutional Zones (4H): Higher timeframe trend filter ensures you’re always trading in the direction of major flows.
✅ Wick Pullback Filter: Confirms price rejects the zone, catching smart money traps and reversals.
✅ Cumulative Delta (CVD): Confirms whether buyers or sellers are truly in control.
✅ Slope-Based Divergence: Optional hidden divergence between price & CVD to spot reversals others miss.
✅ ATR Dynamic SL/TP: Adapts stop loss and take profit to live volatility with adjustable risk/reward.
🧩 Visual Markers Explained:
🟦 Blue X: Price inside HTF zone
🟨 Yellow X: Price inside Volume Cluster zone
🟧 Orange Circle: Wick pullback detected
🟥 Red Square: CVD confirms order flow strength
🔼 Aqua Triangle Up: Bullish slope divergence
🔽 Purple Triangle Down: Bearish slope divergence
🟢 Green Triangle Up: Final Long Entry confirmed
🔴 Red Triangle Down: Final Short Entry confirmed
⚡ Who is this for?
This strategy is best suited for traders who understand smart money concepts, order flow, and want an adaptive framework to trade major assets like BTC, Gold, SP500, NASDAQ, or FX pairs.
🔒 Important
Use responsibly, backtest extensively, and combine with solid risk management. This is for educational purposes only.
✨ Credits
Built with ❤️ by Yuri Garcia – dedicated to my family & community.
✅ How to use it
1️⃣ Add to chart
2️⃣ Adjust inputs for your asset & timeframe
3️⃣ Enable/disable slope divergence filter to match your style
4️⃣ Set your alerts with built-in conditions
Supertrend StrategySupertrend Strateg BTCUSD
This is a trend-following strategy using the Supertrend indicator to identify market direction shifts. Here's the core logic:
Indicator Calculation:
Uses Supertrend with:
10-period ATR (volatility measurement)
3.0 multiplier (determines distance from price)
Entry Signals:
Long Entry: When Supertrend flips from downtrend (-1) to uptrend (1)
Short Entry: When Supertrend flips from uptrend (1) to downtrend (-1)
Position Management:
15% of equity risked per trade
Only 1 active position allowed (no pyramiding)
Auto-exits previous position on reversal signal
Visualization:
Price chart: Green/red Supertrend line showing current trend
Separate pane: Purple equity curve tracking performance
In essence:
The strategy goes long when a new uptrend is confirmed, goes short when a new downtrend starts, and holds only one position at a time. It aims to capture sustained trends while minimizing false signals through confirmed reversals.
New chat
The Trend Bot🤖 The Trend Bot — Advanced Trend Following Strategy
The Trend Bot is a sophisticated algorithmic trading strategy designed to capitalize on market trends by combining multiple timeframe analysis with dynamic signal generation. This strategy is built for traders who want to follow the path of least resistance while maintaining disciplined risk management.
✨ Key Features:
Multi-Timeframe Confluence : Utilizes higher timeframe trend analysis to filter trades and ensure alignment with the broader market direction
Dynamic Signal System : Generates precise entry signals based on momentum shifts and trend confirmation
Intelligent Take Profit : Automatically identifies optimal exit points based on trend reversal patterns
Real-Time Performance Tracking : Built-in performance table displaying key metrics including net profit, win rate, maximum drawdown, and profit factor
Customizable Visual Elements : Fully customizable colors and display options for personalized chart presentation
📊 What It Does:
The Trend Bot monitors market structure and momentum to identify high-probability trading opportunities. It combines short-term price action signals with longer-term trend analysis to ensure trades are taken in the direction of the prevailing market trend. The strategy automatically manages both entries and exits, removing emotional decision-making from your trading process.
🎯 Perfect For:
Swing traders looking for trend-following opportunities
Traders who prefer systematic, rule-based approaches
Those seeking to reduce emotional trading decisions
Both manual and automated trading setups
⚙️ Customization Options:
Adjustable timeframe filters for different trading styles
Customizable visual alerts and notifications
Flexible display settings for optimal chart presentation
Color-coded trend and signal visualization
📈 Built-in Analytics:
Track your strategy performance with real-time metrics including profit factor, win rate, total trades, and maximum drawdown — all displayed in an elegant, customizable table directly on your chart.
Note: Past performance does not guarantee future results. Always test strategies thoroughly and manage risk appropriately.
MA Crossover with Confluence Filters (sector tuned)The core belief of this strategy is that a stock making a strong upward move is more likely to continue in that direction if the move is confirmed by multiple other factors. This "confirmation" from different indicators is using the Momentum Optimized Strategy Preset. By waiting for a signal confirmed by high volume, rising volatility, a strong long-term trend, and healthy momentum, we aim to increase the probability of a successful trade.
AO Divergence StrategyQuick strategy tester to set up and find the best indicator values
Recommended values:
AO Fast EMA/SMA Length: 5
AO Slow EMA/SMA Length: 25
Use EMA instead of SMA for AO: ❌ (unchecked)
Right Lookback Pivot: 24
Left Lookback Pivot: 18
Maximum Lookback Range: 60
Minimum Lookback Range: 5
Bullish Trace: ✅
Hidden Bullish Trace: ❌
Bearish Trace: ✅
Hidden Bearish Trace: ❌
Status Line Input: ✅
Do your own testing and research, don't just rely on the posting chart that differs from the recommended settings.
🧠 Aggressive RSI + EMA Strategy with TP/SL⚙️ How It Works
RSI-Based Entries:
Buys when RSI is below 40 (oversold) and trend is up (fast EMA > slow EMA).
Sells when RSI is above 60 (overbought) and trend is down (fast EMA < slow EMA).
Trend Filter:
Uses two EMAs (short/long) to filter signals and avoid trading against momentum.
Risk Management:
Default Take Profit: +1%
Default Stop Loss: -0.5%
This creates a 2:1 reward-to-risk setup.
📊 Backtest Settings
Initial Capital: $10,000
Order Size: 10% of equity per trade (adjustable)
Commission: 0.04% per trade (Binance spot-style)
Slippage: 2 ticks
Tested on: BTC/USDT – 15min timeframe (suitable for high-frequency scalping)
Trade Sample: (Adjust this based on your actual results.)
🔔 Features
Built-in alerts for buy/sell signals
Visual chart plots for entry/exit, RSI, EMAs
Customizable inputs for RSI thresholds, TP/SL %, EMA lengths
💡 Why It’s Unique
Unlike many RSI systems that trade blindly at 70/30 levels, this strategy adds a trend filter to boost signal quality.
The tight TP/SL configuration is tailored for scalpers and intraday momentum traders who prefer quick, consistent trades over long holds.
Universal Bot [AVATrade - PineConnector Ready]//@version=5
strategy("Universal Bot ", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=100)
// === INPUTS === //
emaLen = input.int(20, title="EMA Lengte")
rsiLen = input.int(14, title="RSI Lengte")
macdFast = input.int(12, title="MACD Fast")
macdSlow = input.int(26, title="MACD Slow")
macdSig = input.int(9, title="MACD Signaallijn")
atrLen = input.int(14, title="ATR Lengte")
riskUSD = input.float(5, title="Risico per trade ($)")
accountUSD = input.float(500, title="Accountgrootte ($)")
riskReward = input.float(2.0, title="Risk-Reward ratio")
trailingPercent = input.float(0.5, title="Trailing stop (%)")
// === INDICATOREN === //
ema = ta.ema(close, emaLen)
rsi = ta.rsi(close, rsiLen)
= ta.macd(close, macdFast, macdSlow, macdSig)
atr = ta.atr(atrLen)
// === SIGNALEN === //
longCond = ta.crossover(close, ema) and macdLine > signalLine and rsi > 55
shortCond = ta.crossunder(close, ema) and macdLine < signalLine and rsi < 45
// === POSITIEBEREKENING === //
entryPrice = close
stopLoss = atr
takeProfit = atr * riskReward
lotRaw = riskUSD / stopLoss
lotFinal = lotRaw / 100000 // omzetten naar standaard lot voor brokers
lotStr = str.tostring(lotFinal, "#.####")
slLong = entryPrice - stopLoss
tpLong = entryPrice + takeProfit
slShort = entryPrice + stopLoss
tpShort = entryPrice - takeProfit
// === TRAILING STOP === //
trailOffset = entryPrice * trailingPercent / 100
trailPips = trailOffset / syminfo.mintick
// === STRATEGIE EN ALERTS === //
if (longCond)
strategy.entry("LONG", strategy.long)
strategy.exit("TP/SL LONG", from_entry="LONG", limit=tpLong, stop=slLong, trail_points=trailPips, trail_offset=trailPips)
alert_message = '{ "action": "buy", "symbol": "' + syminfo.ticker + '", "lot": ' + lotStr + ', "sl": ' + str.tostring(slLong) + ', "tp": ' + str.tostring(tpLong) + ', "trail": ' + str.tostring(trailingPercent) + ' }'
alert(alert_message, alert.freq_once_per_bar)
if (shortCond)
strategy.entry("SHORT", strategy.short)
strategy.exit("TP/SL SHORT", from_entry="SHORT", limit=tpShort, stop=slShort, trail_points=trailPips, trail_offset=trailPips)
alert_message = '{ "action": "sell", "symbol": "' + syminfo.ticker + '", "lot": ' + lotStr + ', "sl": ' + str.tostring(slShort) + ', "tp": ' + str.tostring(tpShort) + ', "trail": ' + str.tostring(trailingPercent) + ' }'
alert(alert_message, alert.freq_once_per_bar)
// === VISUEEL === //
plot(ema, title="EMA", color=color.orange)
plotshape(longCond, title="BUY", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(shortCond, title="SELL", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
ETH Scalper Version 1.0Ethereum Scalper across various timeframes. Uses ATR for TP and SL. Scalps based on volume.
ETH Scalper Version 1.0ETH Scalper Version 1.0 - Uses Volume pressure to gauge quick scalping entries. TP and SL based on ATR.
xGhozt EVWMA Cross StrategyThis strategy leverages a single **Elastic Volume Weighted Moving Average (EVWMA)** to identify trend-following opportunities. It generates trade signals when the asset's **closing price crosses the EVWMA**.
### **How it Works**
* **Entry**: After a price-EVWMA cross (above for long, below for short), the strategy waits for a customizable number of `Bars to Wait After Cross` as a confirmation filter before entering a trade.
* **Exit (Take Profit)**: Once a position is open, it automatically exits the trade if the price achieves a customizable `Take Profit at Price Change (%)` relative to the entry price.
### **Specs & Inputs**
* **Indicator Type**: Trend-following strategy based on EVWMA.
* **Slow Sum Length**: EVWMA calculation period.
* **Bars to Wait After Cross**: Confirmation delay in bars after a cross before entry.
* **Take Profit at Price Change (%)**: Percentage gain from entry at which to close the position.
### **Purpose**
Designed for backtesting and automated trading, this strategy aims to capture directional price movements with a built-in confirmation delay and a fixed profit target.
Vortex Hunter X - Strategy | 2 Symbol Signal (Binance)⚙️ Vortex Hunter X - Strategy | 2 Symbol Signal (Binance)
🚨 To test the strategy and get more guidance, contact me via my communication channels!
👉 For more details, please refer to the contact sections in my profile.
This strategy is designed for trading the WIF/USDT and PEPE/USDT pairs in the Binance Futures market on the TradingView platform.
However, trades can be executed on any preferred exchange.
💡 This strategy is fully optimized and configured and requires no additional settings!
All parameters are pre-optimized, and you only need to follow the instructions to run the strategy.
For each position:
🎯 Take Profit (TP): Exactly 4% profit
❌ Stop Loss (SL): Exactly 2% loss
These values are fixed in the code (not dynamic).
🔎 Signal Accuracy | No Repainting (No Repaint)
Signals are completely non-repainting; once issued, they do not change.
Backtesting and live execution on TradingView are exactly the same, demonstrating the strategy’s high reliability.
🔁 Note on Replay Mode
In Replay mode on TradingView, discrepancies may occur compared to live or backtesting mode.
These differences arise due to how data is processed in Replay mode and the limitation of some filters accessing past data.
✅ However, this is NOT a sign of repainting;
Signals in live and backtesting modes are issued exactly the same.
🔄 Important Note: Correct Script Loading
Due to complex logic and multi-layer filters, sometimes the browser cache may prevent the script from fully loading.
✅ To ensure accurate execution:
Before first run and every few days:
🧹 Clear your browser cache
or
Use Ctrl + F5 for a full page refresh.
⚠️ Important Usage Notes
This strategy is designed ONLY for the following conditions:
🔹 Symbol: PEPEUSDT, WIFUSDT
🔹 Exchange: Binance
🔹 Market: Futures
🔹 Timeframe: 3 minutes
🔹 Chart Type: Candlestick
To receive valid signals, be sure to run it only on the PEPEUSDT or WIFUSDT chart with the above specifications on TradingView.
⚠️ Very Important Warning:
Signals are valid ONLY on the chart and settings specified in TradingView.
However, real trades can be executed on any preferred exchange (such as Binance, Bybit, OKX, etc.).
⚡️ Signal generation must be done only on TradingView with exact settings,
but order execution and trading can be done on any exchange without restriction.
⚠️ Running the strategy on the wrong symbol or timeframe will lead to incorrect signals.
✅ Signal reception and strategy execution must be done exactly with the above settings on TradingView, but trading is free on any exchange.
ℹ️ Strategy Naming Convention
Vortex Hunter X - Strategy | 1 Symbol Signal (Binance) → for 1 currency
Vortex Hunter X - Strategy | 2 Symbol Signal (Binance) → for 2 currencies
Vortex Hunter X - Strategy | 3 Symbol Signal (Binance) → for 3 currencies
Vortex Hunter X - Strategy | 4 Symbol Signal (Binance) → for 4 currencies
Vortex Hunter X - Strategy | ... Symbol Signal (Binance) → for …currencies
📌 Currently, this is active for two pairs:
PEPEUSDT (Futures – Binance)
WIFUSDT (Futures – Binance)
✅ Summary of Settings
🔧 Required settings on TradingView (by user):
⏱️ Timeframe: 3 minutes
📈 Chart Type: Candlestick
🧪 Market: Futures – Symbol: PEPEUSDT or WIFUSDT – Exchange: Binance
⚠️ Final and Very Important Note:
Due to complex logic and multi-layer filters used in this strategy, sometimes the number of signals, performance stats, or other details may not display correctly.
These changes may be caused by browser cache or incomplete page loading, preventing accurate data display.
✅ If you notice such an issue, please follow these steps:
Remove the strategy from the chart
Fully refresh the page using Ctrl + F5
Apply the strategy on the chart again
This method ensures all data and filters load correctly and full information is displayed.
❗️ Note: This issue is NOT related to repainting.
Signals remain fixed and unchanged; sometimes they may display incorrectly due to cache or incomplete loading.
❗️ Important Note for Smoother Strategy Execution:
If you are using non-Basic TradingView accounts and your chart covers more than 15 days of data,
it is recommended to activate the Signal Date Filter in the strategy settings
and set the start date to 10 or 15 days before today’s date.
This improves strategy performance, reduces processing load, and allows faster and more accurate signal display.
N4A.Dynamic ORB Algo v7.3N4A – Dynamic ORB Algo v7.3
A precision-crafted intraday breakout strategy designed for futures traders (NQ, MNQ, ES, MES), combining adaptive Opening Range Breakout (ORB) logic with a multi-layer filter engine and structured risk management. Built for flexibility across global trading sessions.
Invite-only · Source-protected
🔍 What it does
Dynamic ORB Algo captures the initial range of a selected session (Pre-London, London, New York, or Custom), waits for a confirmed breakout, and applies a configurable stack of validation filters. Its goal is to reduce false breakouts, improve signal quality, and maintain consistent risk control.
🧠 Validation Layers (Mode-dependent)
EMA Bias Filter – Enforces directional alignment using dual EMA-200 zones (High and Close).
EMA Cross-Frequency Guard – Filters unstable markets by counting trend direction flips over a selected time window.
RG Volatility Stop – Measures directional flow within a dynamic range geometry, preventing trades in sideways conditions.
Momentum Shift Check – Detects active breakouts using a custom KC-MACD derivative.
Weekday Filter – Allows disabling trades on low-liquidity days.
Each layer can be controlled manually (Custom mode) or pre-configured via:
Basic – No filters
Conservative – Trend-focused, stricter validation
Aggressive – Fast breakout capture with momentum guard
Custom – Full control of every logic component
⚙️ Execution Logic
One trade per session, triggered after a candle closes beyond the ORB high or low.
Stop-loss – Set at the mid-point of the ORB ± 7 ticks.
Profit targets – Optional exits at 0.5x, 1.0x, 1.5x, and 2.0x the ORB range; user defines the percentage split.
Time stop – Closes all trades after 270 minutes.
💲 Risk Engine
Risk per trade is controlled either via:
Fixed dollar amount (default $400), or
Percentage of account equity (default 0.8%)
Contract size is dynamically calculated using the distance from entry to stop-loss, ensuring consistent monetary risk regardless of volatility.
🌐 Session & Time-Zone Adaptability
The script includes a full time-zone selector and auto-adjusting session presets. All internal time/session functions respect your time-zone choice, making it DST-aware and usable across global markets.
🔔 Built-In Alerts
Alerts are available for validated breakout entries (long and short), ready for webhook, email, or app push notifications.
🧪 Backtest Parameters
Default backtest assumptions:
Commission: $1.80 per contract
Slippage: 2 ticks
Risk sizing logic: Matches live execution
These settings reflect realistic conditions for futures trading and align with common retail brokerage structures.
🚀 What makes this original?
This script isn’t a mash-up of common public logic. It includes:
A proprietary EMA-frequency filter that monitors directional stability over time.
An adaptive risk grid that keeps dollar exposure fixed regardless of market volatility.
Unique session handling logic that enables clean integration across major markets without user reconfiguration.
Volatility filtering based on RG envelope behavior, distinct from ATR or Bollinger-based models.
⚠️ Risk Disclosure
This strategy is provided for educational purposes only. All performance data is simulated and not indicative of future results. Do your own testing and consult a licensed advisor before live trading.
📩 To request access, message @AntonyN4A directly on TradingView.
Pine v5 · Copyright © 2025 N4A Trading Systems – All rights reserved
SECRET STRATEGYSECRET STRATEGY.
Select the instrument form the preset list and make sure it's matching you chart symbol and time frame
XAUUSD-15m (OANDA)
DE30EUR-15m (OANDA)
US30-15m (OANDA)
NAS100-5m (OANDA)
NOTE:
make sure using 1% of the equity.
check "use bar magnifier"
enjoy the amazing results of the back testing ! these strategies are hand crafted and verified in a real trading accounts,
if you are interested in Automation & trade copier. please contact me on
Email: (fadi.qawwas@gmail.com)
Telegram: @BlackAmorphis
this strategy will not be available all the time, i am publishing it for free for a short period of time ONLY.
استراتيجية محسنة: تقليل الخسائر، إدارة ذكية//@version=5
strategy("استراتيجية محسنة: تقليل الخسائر، إدارة ذكية", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=10)
// الإعدادات
emaFastLen = input.int(20, title="EMA سريع")
emaSlowLen = input.int(50, title="EMA بطيء")
atrLength = input.int(14, title="طول ATR")
riskMultiplier = input.float(1.0, title="نسبة المخاطرة من ATR", step=0.1)
takeProfitRatio = input.float(1.5, title="نسبة الهدف الربحي إلى وقف الخسارة", step=0.1)
maxConsecutiveLosses = input.int(2, title="عدد الخسائر المتتالية المسموح بها")
// حساب المتوسطات والاتجاه
emaFast = ta.ema(close, emaFastLen)
emaSlow = ta.ema(close, emaSlowLen)
atr = ta.atr(atrLength)
longCondition = ta.crossover(emaFast, emaSlow)
shortCondition = ta.crossunder(emaFast, emaSlow)
// متابعة الخسائر المتتالية
var int lossCount = 0
if strategy.closedtrades > 0
lastTrade = strategy.closedtrades - 1
isLoss = strategy.closedtrades.profit(lastTrade) < 0
lossCount := isLoss ? lossCount + 1 : 0
canTrade = lossCount <= maxConsecutiveLosses
// الدخول في صفقات شراء فقط (بناء على طلب المستخدم)
if longCondition and canTrade
stopLoss = close - (atr * riskMultiplier)
takeProfit = close + ((close - stopLoss) * takeProfitRatio)
strategy.entry("Buy", strategy.long)
strategy.exit("TP/SL", from_entry="Buy", stop=stopLoss, limit=takeProfit)
// تفعيل trailing stop عند الربح
trailTrigger = input.float(0.5, title="نقطة تفعيل Trailing (%)", step=0.1) / 100
trailOffset = input.float(0.3, title="مسافة Trailing Stop (%)", step=0.1) / 100
if strategy.opentrades > 0
entryPrice = strategy.opentrades.entry_price(0)
if close > entryPrice * (1 + trailTrigger)
trailStop = close * (1 - trailOffset)
strategy.exit("Trail Exit", from_entry="Buy", stop=trailStop)
plot(emaFast, color=color.green, title="EMA سريع")
plot(emaSlow, color=color.red, title="EMA بطيء")
FAFA - Optimize v2FAFA - Optimize v2 Strategy
FAFA - Optimize v2 is a dynamic trading strategy that operates using Inverse Fisher RSI signals derived from a higher timeframe. By applying the inverse Fisher transform to the RSI indicator, it generates clearer and faster signals. The strategy can execute buy, sell, or both types of trades based on user preferences.
From a risk management perspective, the strategy features three-tiered take profit levels (TP1, TP2, TP3) and a flexible stop loss (SL) mechanism. This allows partial profits to be realized early while letting remaining positions benefit from larger market moves.
It also provides a handy performance panel that tracks essential metrics in real-time, including total trades, winning and losing trades, trades closed by stop loss, win rate, and net profit/loss.
In summary, FAFA - Optimize v2 aims to open reliable market positions with advanced risk controls to ensure sustainable performance.
JD-MONEY 2 ENTRADAS/DIAJD-MONEY FIXED Strategy - For Intraday Trading
A simple and straightforward strategy, with clear rules and optimized parameters for intraday trading.
**Features:**
✅ **Two configurable trading times**
✅ **Defined risk management** (fixed stop and take)
✅ **Clear logic** for entries and exits
✅ No rebounds or pyramiding
Ideal for traders seeking a disciplined and straightforward approach.
*Configure the times according to your preference and let the strategy identify opportunities!*
*Note: Always trade with appropriate risk management. Past results do not guarantee future performance.*
CME_MINI:NQ1!
*Script by José Doroteu*
NY Liquidity Reversal - Debug Mode70 percent 1 rate strategy, no red folder news, trades from only 730 to noon, 20 EMA plus voluntarily breakout, 1 and one entry per direction per session per asset
