Setup: Smooth Gaussian + Adaptive Supertrend (Manual Vol)Overview
This strategy combines two powerful trend-based tools originally developed by Algo Alpha: the Smooth Gaussian Trend (simulated) and the Adaptive Supertrend. The objective is to capture sustained bullish movements in periods of controlled volatility by filtering for high-probability entries.
Entry Logic
Long Entry Conditions:
The closing price is above the Smooth Gaussian Trend line (with length = 75), and
The volatility setting from the Adaptive Supertrend is manually defined as either 2 or 3
Exit Condition:
The closing price falls below the Smooth Gaussian Trend line
This script uses a simulated version of the Gaussian Trend line via double-smoothed SMA, as the original Algo Alpha indicator is protected and cannot be accessed directly in code.
Features
Plots entry and exit signals directly on the chart
Manual toggle to enable or disable the volatility filter
Lightweight design to allow flexible backtesting even without access to proprietary indicators
Important Note
This strategy does not connect to the actual Adaptive Supertrend from Algo Alpha. Users must manually input the volatility level based on what they observe on the chart when the original indicator is also applied. The Smooth Gaussian Trend is approximated and may differ slightly from the original.
Suggested Use
Recommended timeframes: 1H, 4H, or Daily
Best used alongside the original indicators displayed on the chart
Consider incorporating additional structure, momentum, or volume filters to enhance performance
If you have suggestions or would like to contribute improvements, feel free to reach out or fork the script.
Indicators and strategies
BB + RSI Strategy Optimized✅ Pine Script Version 5
✅ Complete Strategy: Long + Short
✅ Automatic Entry and Exit
✅ Visual Signals: Buy/Sell, Short/Cover
✅ Trailing Take Profit
✅ Progressive
EMA Grid + Martingale Strategy (Long-Only) with CooldownTitle:
EMA Grid + Martingale Strategy (Long-Only) with Cooldown
Short Summary:
A long-only strategy combining EMA trend filters, grid-based entries, optional martingale sizing, and a cooldown feature to manage position timing and exits.
Full Description:
This strategy uses a 4-EMA trend confirmation system to detect bullish momentum, then deploys a grid-style entry method with optional martingale position sizing. It includes a cooldown mechanism to prevent reentry too soon after a completed trade cycle.
How It Works
1. Trend Confirmation: Two EMA groups (fast/slow) determine whether market conditions are bullish.
2. Initial Entry: A new position is entered when both EMA groups confirm an uptrend and no position is currently active.
3. Grid Entries: Additional long entries are placed when price drops by a defined pip distance from the last entry, respecting the maximum number of entries.
4. Martingale Sizing (Optional): Grid orders can increase in size with each level using a customizable multiplier.
5. Weighted-Average Exit: All positions close once price reaches or exceeds the average entry price plus a buffer.
6. Cooldown Timer: After closing a position set, the strategy waits a defined number of bars before opening a new grid.
Key Features
• 4 customizable EMAs for trend confirmation.
• Dynamic grid-style long entries based on pip intervals.
• Optional martingale-style position sizing.
• Weighted-average price exit logic with buffer control.
• Cooldown bar period to limit overtrading.
• Suitable for optimization and backtesting with full control over inputs.
Use Cases
• Designed for trending markets where pullbacks present entry opportunities.
• Helps manage staged entries while avoiding premature reentry.
• Ideal for testing martingale and grid-based strategies with exit precision.
Note: This strategy is for testing and educational purposes only. It does not guarantee profits and is not financial advice.
CE XAU/USDT Strategy📌 Auto-Trading Strategy Using CE on XAU/USDT (5M)
Indicator: CE
Parameters:
• ATR Period: 1
• ATR Multiplier: 1.85
Timeframe: 5 minutes
Instrument: Gold (XAU/USD)
🔁 Logic:
• Buy signal → Close short, open long
• Sell signal → Close long, open short
⚙️ Automation:
1. CE indicator on TradingView generates signals
2. Signals are sent via webhook to a Python bot
3. The bot opens/closes trades in MT5 accordingly
✅ Advantages:
• Full automation
• Operates 24/7 without manual intervention
⚠️ Important:
• Always test on a demo account
• Manage risk and position size properly
📌 Стратегия автоторговли по CE на XAU/USDT (5М)
Индикатор: CE
Параметры:
• ATR Period: 1
• ATR Множитель: 1.85
Таймфрейм: 5 минут
Инструмент: Золото (XAU/USD)
🔁 Логика:
• Buy сигнал → закрыть шорт, открыть лонг
• Sell сигнал → закрыть лонг, открыть шорт
⚙️ Автоматизация:
1. CE в TradingView генерирует сигналы
2. Webhook отправляет их в Python-бот
3. Бот открывает/закрывает сделки в MT5
✅ Плюсы:
• Полная автоматизация
• Работа 24/7 без вмешательства
⚠️ Важно:
• Тестируй на демо
• Управляй рисками и лотами
The Gold Bot🥇 The Gold Bot — Precision Gold Trading System
The Gold Bot is an elite trading strategy specifically engineered for gold markets, combining institutional-grade risk management with sophisticated price action analysis. This professional-level system is designed for serious traders seeking consistent performance in one of the world's most volatile and liquid precious metals markets.
💎 Premium Features:
Gold-Optimized Algorithms : Proprietary signal processing specifically calibrated for gold's unique price behavior and volatility patterns
Multi-Layer Risk Management : Advanced position sizing with intelligent adaptation based on recent performance and market conditions
Session-Focused Trading : Targets optimal gold trading windows when institutional volume and volatility create the best opportunities
Automated Position Protection : Comprehensive exit system featuring stop losses, take profits, and dynamic trailing stops
Professional Risk Controls : Multiple safety mechanisms including daily trade limits and automatic position closure protocols
⚙️ Institutional-Grade Architecture:
The Gold Bot employs advanced smoothing techniques and momentum analysis specifically tuned for gold futures and spot markets. Its sophisticated position sizing algorithm adapts to market performance, while multiple safety layers ensure disciplined execution and capital preservation under all market conditions.
🎯 Advanced Capabilities:
Tick-precise calculations optimized for gold instruments
Intelligent contract sizing with performance-based adjustments
Automated daily position management and risk reset protocols
Session-aware trading to avoid low-liquidity periods
Emergency exit protocols for exceptional market conditions
🏅 Designed For:
Gold specialists seeking systematic trading approaches
Professional traders focusing on precious metals markets
Those requiring sophisticated position sizing algorithms
Traders seeking automated gold session optimization
Serious investors wanting institutional-level risk management
🛡️ Risk Management Excellence:
Dynamic trailing stop system for profit maximization
Adaptive position sizing based on recent performance
Automatic daily trade limits and exposure controls
Professional-grade emergency exit mechanisms
Session-filtered trading to optimize market timing
⏰ Market Timing Precision:
The Gold Bot includes sophisticated session management designed to capture gold's most profitable trading hours while automatically closing positions before market close to avoid overnight exposure risks commonly associated with precious metals trading.
🔧 Professional Configuration:
Offers essential customization options for different account sizes and risk tolerances while maintaining core algorithmic integrity through hardcoded optimization parameters developed specifically for gold market characteristics.
Risk Warning: Gold trading involves significant price volatility and market risk. This strategy includes adaptive position sizing features that may increase exposure after losses. Thoroughly backtest and understand all risk parameters before live implementation. Past performance does not guarantee future results.
XAUUSD SMC Strategy (FVG + BoS)This advanced TradingView strategy is built for serious traders who follow Smart Money Concepts (SMC), with a special focus on Fair Value Gaps (FVG) and Break of Structure (BoS). The script automates trade entries and visual signals based on clean price action, while also allowing for performance backtesting through the built-in Strategy Tester.
The purpose of this script is to combine high-probability SMC signals with a clear and flexible backtest engine. Traders can visually confirm institutional moves (like imbalances and structure breaks) while simultaneously analyzing strategy performance, risk-reward, and execution logic — all from one chart.
⚙️ Key Features
FVG Detection: Automatically identifies bullish and bearish fair value gaps, highlighting imbalance zones between institutional buying and selling activity.
Break of Structure (BoS): Clearly shows bullish and bearish structure breaks, helping traders confirm directional bias and spot trend shifts with clarity.
Trade Execution Logic: Designed with actual strategy.entry() and strategy.exit() functions, this script simulates trades using risk-controlled logic with stop loss and take profit targeting.
Spaced Signal Visualization: Avoids chart clutter by spacing FVG and BoS signals, making the visual output clean and readable — even on fast-moving charts like XAUUSD.
Risk-Reward Customization: Easily set your own risk:reward ratio and stop-loss buffer, ensuring each trade is simulated according to your personal strategy or trading plan.
Cool-Down System: Add a delay between trades using the “Bars Between Trades” setting to prevent overtrading during volatile periods.
Live and Historical Insights: Signals appear in real-time, while also being plotted historically — making it easy to scroll back and study how the market behaved under this logic.
Fully Editable Parameters: Customize FVG size, structure lookback, spacing intervals, and more to fit your unique interpretation of SMC methodology.
🧠 How It Works
This strategy combines two key concepts:
FVG (Fair Value Gaps): Price zones where the market moved too quickly and left an imbalance between buyers and sellers. These gaps often act as magnets for price or areas of reversal.
BoS (Break of Structure): Points where the price breaks through a significant high or low, indicating a potential shift in market direction.
When both FVG and BoS align under certain conditions — and the cooldown requirement is satisfied — the strategy places a trade. A take profit and stop loss are automatically applied based on your inputs.
📈 Practical Use Cases
Trend Confirmation: Use BoS signals to validate trend continuation trades, especially when FVG confirms the imbalance.
Reversal Zones: Spot potential turning points when price fills an FVG and breaks previous structure in the opposite direction.
Backtest SMC Logic: Validate your theory by testing this strategy over historical XAUUSD data using real stop loss / take profit logic.
Refine Entry Timing: Study how structure breaks and FVGs align in different timeframes to improve entry precision.
💡 Best For
Traders learning or mastering Smart Money Concepts
Price action purists who avoid indicators
XAUUSD scalpers, day traders, or swing traders
Strategy developers who want visual + backtested confirmation
📌 Notes
The default strategy places trades every 10 candles to ensure the engine runs — replace this with your refined FVG + BoS logic as needed.
Works best on Gold (XAUUSD) 4H, 1H, or 15m timeframes depending on volatility and structure spacing.
🔒 Disclaimer
This strategy is for educational purposes only. It does not constitute financial advice. Always test and validate any trading logic before applying it to a live market. Trading carries risk — use proper risk management.
Open Close Cross Strategy R5 Delay//@version=5
//
strategy(title='Open Close Cross Strategy R5.1 revised by JustUncleL', shorttitle='OCC Strategy R5.1', overlay=true, pyramiding=0, default_qty_type=strategy.percent_of_equity, default_qty_value=10, calc_on_every_tick=false)
//
// Revision: 5
// Original Author: @JayRogers
// Revision Author: JustUncleL revisions 3, 4, 5
//
// *** USE AT YOUR OWN RISK ***
// - There are drawing/painting issues in pinescript when working across resolutions/timeframes that I simply
// cannot fix here.. I will not be putting any further effort into developing this until such a time when
// workarounds become available.
// NOTE: Re-painting has been observed infrequently with default settings and seems OK up to Alternate
// multiplier of 5.
// Non-repainting mode is available by setting "Delay Open/Close MA" to 1 or more, but the reported
// performance will drop dramatically.
//
// R5.1 Changes by JustUncleL
// - Upgraded to Version 3 Pinescript.
// - Added option to select Trade type (Long, Short, Both or None)
// - Added bar colouring work around patch.
// - Small code changes to improve efficiency.
// - NOTE: To enable non-Repainting mode set "Delay Open/Close MA" to 1 or more.
// 9-Aug-2017
// - Correction on SuperSmooth MA calculation.
//
// R5 Changes by JustUncleL
// - Corrected cross over calculations, sometimes gave false signals.
// - Corrected Alternate Time calculation to allow for Daily,Weekly and Monthly charts.
// - Open Public release.
// R4 Changes By JustUncleL
// - Change the way the Alternate resolution in selected, use a Multiplier of the base Time Frame instead,
// this makes it easy to switch between base time frames.
// - Added TMA and SSMA moving average options. But DEMA is still giving the best results.
// - Using "calc_on_every_tick=false" ensures results between backtesting and real time are similar.
// - Added Option to Disable the coloring of the bars.
// - Updated default settings.
//
// R3 Changes by JustUncleL:
// - Returned a simplified version of the open/close channel, it shows strength of current trend.
// - Added Target Profit Option.
// - Added option to reduce the number of historical bars, overcomes the too many trades limit error.
// - Simplified the strategy code.
// - Removed Trailing Stop option, not required and in my opion does not work well in Trading View,
// it also gives false and unrealistic performance results in backtesting.
//
// R2 Changes:
// - Simplified and cleaned up plotting, now just shows a Moving Average derived from the average of open/close.
// - Tried very hard to alleviate painting issues caused by referencing alternate resolution..
//
// Description:
// - Strategy based around Open-Close Crossovers.
// Setup:
// - I have generally found that setting the strategy resolution to 3-4x that of the chart you are viewing
// tends to yield the best results, regardless of which MA option you may choose (if any) BUT can cause
// a lot of false positives - be aware of this
// - Don't aim for perfection. Just aim to get a reasonably snug fit with the O-C band, with good runs of
// green and red.
// - Option to either use basic open and close series data, or pick your poison with a wide array of MA types.
// - Optional trailing stop for damage mitigation if desired (can be toggled on/off)
// - Positions get taken automagically following a crossover - which is why it's better to set the resolution
// of the script greater than that of your chart, so that the trades get taken sooner rather than later.
// - If you make use of the stops, be sure to take your time tweaking the values. Cutting it too fine
// will cost you profits but keep you safer, while letting them loose could lead to more drawdown than you
// can handle.
// - To enable non-Repainting mode set "Delay Open/Close MA" to 1 or more.
//
// === INPUTS ===
useRes = input(defval=true, title='Use Alternate Resolution?')
intRes = input(defval=3, title='Multiplier for Alernate Resolution')
stratRes = timeframe.ismonthly ? str.tostring(timeframe.multiplier * intRes, '###M') : timeframe.isweekly ? str.tostring(timeframe.multiplier * intRes, '###W') : timeframe.isdaily ? str.tostring(timeframe.multiplier * intRes, '###D') : timeframe.isintraday ? str.tostring(timeframe.multiplier * intRes, '####') : '60'
basisType = input.string(defval='SMMA', title='MA Type: ', options= )
basisLen = input.int(defval=8, title='MA Period', minval=1)
offsetSigma = input.int(defval=6, title='Offset for LSMA / Sigma for ALMA', minval=0)
offsetALMA = input.float(defval=0.85, title='Offset for ALMA', minval=0, step=0.01)
scolor = input(false, title='Show coloured Bars to indicate Trend?')
delayOffset = input.int(defval=1, title='Delay Open/Close MA (Forces Non-Repainting)', minval=0, step=1)
tradeType = input.string('BOTH', title='What trades should be taken : ', options= )
// === /INPUTS ===
// Constants colours that include fully non-transparent option.
green100 = #008000FF
lime100 = #00FF00FF
red100 = #FF0000FF
blue100 = #0000FFFF
aqua100 = #00FFFFFF
darkred100 = #8B0000FF
gray100 = #808080FF
// === BASE FUNCTIONS ===
// Returns MA input selection variant, default to SMA if blank or typo.
variant(type, src, len, offSig, offALMA) =>
v1 = ta.sma(src, len) // Simple
v2 = ta.ema(src, len) // Exponential
v3 = 2 * v2 - ta.ema(v2, len) // Double Exponential
v4 = 3 * (v2 - ta.ema(v2, len)) + ta.ema(ta.ema(v2, len), len) // Triple Exponential
v5 = ta.wma(src, len) // Weighted
v6 = ta.vwma(src, len) // Volume Weighted
v7 = 0.0
sma_1 = ta.sma(src, len) // Smoothed
v7 := na(v7 ) ? sma_1 : (v7 * (len - 1) + src) / len
v8 = ta.wma(2 * ta.wma(src, len / 2) - ta.wma(src, len), math.round(math.sqrt(len))) // Hull
v9 = ta.linreg(src, len, offSig) // Least Squares
v10 = ta.alma(src, len, offALMA, offSig) // Arnaud Legoux
v11 = ta.sma(v1, len) // Triangular (extreme smooth)
// SuperSmoother filter
// © 2013 John F. Ehlers
a1 = math.exp(-1.414 * 3.14159 / len)
b1 = 2 * a1 * math.cos(1.414 * 3.14159 / len)
c2 = b1
c3 = -a1 * a1
c1 = 1 - c2 - c3
v12 = 0.0
v12 := c1 * (src + nz(src )) / 2 + c2 * nz(v12 ) + c3 * nz(v12 )
type == 'EMA' ? v2 : type == 'DEMA' ? v3 : type == 'TEMA' ? v4 : type == 'WMA' ? v5 : type == 'VWMA' ? v6 : type == 'SMMA' ? v7 : type == 'HullMA' ? v8 : type == 'LSMA' ? v9 : type == 'ALMA' ? v10 : type == 'TMA' ? v11 : type == 'SSMA' ? v12 : v1
// security wrapper for repeat calls
reso(exp, use, res) =>
security_1 = request.security(syminfo.tickerid, res, exp, gaps=barmerge.gaps_off, lookahead=barmerge.lookahead_on)
use ? security_1 : exp
// === /BASE FUNCTIONS ===
// === SERIES SETUP ===
closeSeries = variant(basisType, close , basisLen, offsetSigma, offsetALMA)
openSeries = variant(basisType, open , basisLen, offsetSigma, offsetALMA)
// === /SERIES ===
// === PLOTTING ===
// Get Alternate resolution Series if selected.
closeSeriesAlt = reso(closeSeries, useRes, stratRes)
openSeriesAlt = reso(openSeries, useRes, stratRes)
//
trendColour = closeSeriesAlt > openSeriesAlt ? color.green : color.red
bcolour = closeSeries > openSeriesAlt ? lime100 : red100
barcolor(scolor ? bcolour : na, title='Bar Colours')
closeP = plot(closeSeriesAlt, title='Close Series', color=trendColour, linewidth=2, style=plot.style_line, transp=20)
openP = plot(openSeriesAlt, title='Open Series', color=trendColour, linewidth=2, style=plot.style_line, transp=20)
fill(closeP, openP, color=trendColour, transp=80)
// === /PLOTTING ===
//
//
// === ALERT conditions
xlong = ta.crossover(closeSeriesAlt, openSeriesAlt)
xshort = ta.crossunder(closeSeriesAlt, openSeriesAlt)
longCond = xlong // alternative: longCond ? false : (xlong or xlong ) and close>closeSeriesAlt and close>=open
shortCond = xshort // alternative: shortCond ? false : (xshort or xshort ) and close 0 ? tpPoints : na
SL = slPoints > 0 ? slPoints : na
// Make sure we are within the bar range, Set up entries and exit conditions
if (ebar == 0 or tdays <= ebar) and tradeType != 'NONE'
strategy.entry('long', strategy.long, when=longCond == true and tradeType != 'SHORT')
strategy.entry('short', strategy.short, when=shortCond == true and tradeType != 'LONG')
strategy.close('long', when=shortCond == true and tradeType == 'LONG')
strategy.close('short', when=longCond == true and tradeType == 'SHORT')
strategy.exit('XL', from_entry='long', profit=TP, loss=SL)
strategy.exit('XS', from_entry='short', profit=TP, loss=SL)
// === /STRATEGY ===
// eof
Supertrend AT v1.0### Overview
"Supertrend AT v1.0" is an automated trading strategy based on the Supertrend indicator, designed to detect trend reversals and execute entries accordingly. This script supports both **long and short** positions and includes customizable risk management features such as **RPT (Risk Per Trade)** and **RR (Risk/Reward ratio)**.
### Key Features
- 📈 **Supertrend-based Entry Logic**:
- Enters a **long position** when the Supertrend flips from red to green (downtrend → uptrend).
- Enters a **short position** when the Supertrend flips from green to red (uptrend → downtrend).
- 💰 **Auto-Calculated Position Sizing**:
- Quantity is automatically calculated to ensure that loss per trade (including commission) matches the specified risk percentage (RPT).
- 🎯 **Take-Profit and Stop-Loss**:
- Both targets are dynamically computed using the RR ratio and account for commission fees.
- 📊 **Visual Elements**:
- Entry, stop, and target prices are plotted on the chart.
- Real-time PnL and account equity are shown in a dashboard.
- Optional on-screen README guide explains the strategy and key terms.
### Inputs
- **RPT (%)**: Risk per transaction (based on account equity).
- **RR**: Reward-to-risk ratio.
- **Commission (%)**: Used in all calculations (must match the Properties tab).
- **Supertrend Settings**: Adjustable factor and length.
- **Market Decimal Places**: For accurate quantity rounding according to exchange rules.
- **Time Filter**: Set start and end time for trading logic activation.
### Risk Management Logic
This strategy calculates trade size and targets using a formula that considers both the price distance between entry and stop-loss and the effect of commission fees. This ensures:
- Consistent risk across trades
- Realistic take-profit levels
- Exchange-compliant order quantities
### Notes
- ⚠️ Be sure to set the **correct commission rate** and **decimal precision** for your exchange.
- ⚠️ If trade quantity is smaller than your exchange’s minimum unit, orders may be rejected.
- 🔧 For strategy to behave as intended in automation, double-check both **input tab** and **Properties tab** settings.
### Disclaimer
This strategy is for educational and research purposes only. It does not constitute financial advice. Always test on paper before using in a live environment.
MVO - MA Signal StrategyStrategy Description: MA Signal Strategy with Heikin Ashi, Break-even and Trailing Stop
⸻
🔍 Core Concept
This strategy enters long or short trades based on Heikin Ashi candles crossing above or below a moving average (MA), with optional confirmation from the Money Flow Index (MFI). It includes:
• Dynamic stop loss and take profit levels based on ATR
• Optional break-even stop adjustment
• Optional trailing stop activation after breakeven
• Full visual feedback for trades and zones
⸻
⚙️ Indicators Used
• Heikin Ashi Candles: Smooth price action to reduce noise.
• Simple Moving Average (MA): Determines trend direction.
• Average True Range (ATR): Sets volatility-based SL/TP.
• Money Flow Index (MFI): Optional momentum filter for entries.
⸻
📈 Trade Entry Logic
✅ Long Entry:
Triggered if:
• Heikin Ashi close crosses above the MA
or
• MFI is below 20 and Heikin Ashi close is above the MA
❌ Short Entry:
Triggered if:
• Heikin Ashi close crosses below the MA
or
• MFI is above 90 and Heikin Ashi close is below the MA
⸻
🛑 Stop Loss & Take Profit
• SL is set using riskMult * ATR
• TP is set using rewardMult * ATR
Example:
• If ATR = 10, riskMult = 1, rewardMult = 5
→ SL = 10 points, TP = 50 points from entry
⸻
⚖️ Break-even Logic (Optional)
• If price moves in your favor by breakevenTicks * ATR, SL is moved to entry price.
• Enabled via checkbox Enable Break Even.
⸻
📉 Trailing Stop Logic (Optional)
• Once break-even is hit, a trailing stop starts moving behind price by trailATRmult * ATR.
• Trailing stop only activates after break-even is reached.
• Enabled via checkbox Enable Trailing Stop.
📊 Visual Elements
• Heikin Ashi candles are drawn on the main chart.
• Trade zones are shaded between SL and TP during open trades.
• Lines mark Entry, SL, TP, Break-even trigger.
• Markers show entries and exits:
• Green/red triangles = long/short entries
• ✅ = Take profit hit
• ❌ = Stop loss hit
✅ Best Use Case
• Trending markets with strong pullbacks
• Works on multiple timeframes
• Better suited for assets with consistent volatility (ATR behavior)
Supertrend Strategy (5m)📊 Strategy: Buy/Sell Based on EMA Crossover (5-Minute Timeframe)
📊 Стратегия: Buy/Sell по пересечению EMA (5 минут)
30M Scalping Strategy with Debug LogsWhat’s changed
Spot‑only: all short logic removed—only long entries and exits are generated.
Logging: uses log.info() to send entry/exit details (timestamp, price, ATR, RSI) to the Pine Logs console.
Clean & concise: core scalp logic (EMAs, RSI, MACD, volume, ATR SL/TP) remains intact.
Momentum Strategy 2Just a quick modification on the original uses 50 period and 15 min chart. The blue line is the basic vwap indicator included in trading view not required but can act as a filter or for reversion back to vwap signals.
J-Lines Ribbon • 4-Cycle Engine (CHOP / ANTI / LONG / SHORT)📈 J-Lines Ribbon • 4-Cycle Engine (CHOP / ANTI / LONG / SHORT)
Version: Pine Script v6
Author: Thomas Lee
Category: Trend-Following / Mean Reversion / Scalping
Timeframes: Optimized for 1–5m (but adaptable) Seems to work best on Fibb Time
🧠 Strategy Overview:
The J-Lines Ribbon 4-Cycle Engine is a precision trading algorithm designed to navigate complex market microstructure across four adaptive states:
🔁 CHOP (No Trade / Flatten)
🟡 ANTI (Legacy Layer / Under Development)
🟢 LONG (Trend-Continuation & Rebounds)
🔴 SHORT (Inverse Trend-Continuation & Rebounds)
It combines a multi-layer EMA ribbon, ADX-based CHOP detection, and smart pivot analysis to dynamically shift between market modes, entering and exiting trades with surgical precision.
🔍 Core Features:
Dynamic Market Cycle Detection
Auto-classifies each bar into one of the 4 market states using ADX + EMA 72/89 crossovers.
One-Shot Entries & Rebound Logic
Initiates base entries at the start of new trend cycles. Re-entries (ReLong/ReShort) trigger on EMA 72 and EMA 126 pullbacks with momentum resumption.
CHOP State Autopilot
Automatically closes open positions when CHOP begins, preventing sideways market exposure.
Precision Take-Profits & Pivots-Based Stop Losses
Real-time adaptive exits using pivot high/low swing points as dynamic SL/TP anchors.
Customizable Parameters
Pivot length (left/right)
ADX thresholds
Rebound tolerance bands
Ribbon display and state-labels
📊 Indicator Components:
📏 EMA Ribbon: 72, 89, 126, 267, 360, 445
📉 ADX Filter: Filters out sideways noise, confirms directional bias
🔁 Crossover Events: Detects trend initiations
🌀 Cycle Labels: Real-time visual display of current market state
🛠️ Ideal Use Cases:
Scalping volatile markets
Automated strategy testing & optimization
Entry/exit signal confirmation for discretionary traders
Trend filtering in algorithmic stacks
⚠️ Notes:
ANTI cycle logic is scaffolded but not fully deployed in this version. It will be extended in a future release for deep mean-reversion detection.
Tailor ADX floor and pivot sensitivity to your specific asset and timeframe for optimal performance.
BTC Breakout Bot (TP/SL + Alerts) 🚀This strategy targets Bitcoin (BTC/USDT) breakout trades by detecting price moves beyond recent highs and lows, with built-in risk management and alerts.
How it works:
📈 Long Entry: When price breaks above the highest high of the last N candles (default 20)
📉 Short Entry: When price breaks below the lowest low of the last N candles
🎯 Take Profit: Automatically set at a percentage from entry price (default 5%)
⚠️ Stop Loss: Automatically set at a percentage from entry price (default 2%)
🔔 Alerts: Triggered on every long and short breakout trade, compatible with Telegram/webhook notifications
Parameters:
⏳ Breakout Lookback: Number of candles used to identify breakout levels (default 20)
💰 Take Profit (%): Profit target as % from entry (default 5%)
🛑 Stop Loss (%): Maximum allowed loss as % from entry (default 2%)
Enhanced Market Structure StrategyATR-Based Risk Management:
Stop Loss: 2 ATR from entry (configurable)
Take Profit: 3 ATR from entry (configurable)
Dynamic Position Sizing: Based on ATR stop distance and max risk percentage
Advanced Signal Filters:
RSI Filter:
Long trades: RSI < 70 and > 40 (avoiding overbought)
Short trades: RSI > 30 and < 60 (avoiding oversold)
Volume Filter:
Requires volume > 1.2x the 20-period moving average
Ensures institutional participation
MACD Filter (Optional):
Long: MACD line above signal line and rising
Short: MACD line below signal line and falling
EMA Trend Filter:
50-period EMA for trend confirmation
Long trades require price above rising EMA
Short trades require price below falling EMA
Higher Timeframe Filter:
Uses 4H/Daily EMA for multi-timeframe confluence
Enhanced Entry Logic:
Regular Entries: IDM + BOS + ALL filters must pass
Sweep Entries: Failed breakouts with tighter stops (1.6 ATR)
High-Probability Focus: Only trades when multiple confirmations align
Visual Improvements:
Detailed Entry Labels: Show entry, stop, target, and risk percentage
SL/TP Lines: Visual representation of risk/reward
Filter Status: Bar coloring shows when all filters align
Comprehensive Statistics: Real-time performance metrics
Key Strategy Parameters:
pinescript// Recommended Settings for Different Markets:
// Forex (4H-Daily):
// - CHoCH Period: 50-75
// - ATR SL: 2.0, ATR TP: 3.0
// - All filters enabled
// Crypto (1H-4H):
// - CHoCH Period: 30-50
// - ATR SL: 2.5, ATR TP: 4.0
// - Volume filter especially important
// Indices (4H-Daily):
// - CHoCH Period: 50-100
// - ATR SL: 1.8, ATR TP: 2.7
// - EMA and MACD filters crucial
Expected Performance Improvements:
Win Rate: 55-70% (improved filtering)
Profit Factor: 2.0-3.5+ (better risk/reward with ATR)
Reduced Drawdown: Stricter filters reduce false signals
Consistent Risk: ATR-based stops adapt to volatility
This enhanced version provides much more robust signal filtering while maintaining the core market structure edge, resulting in higher-probability trades with consistent risk management.
Simple SMA StrategyThis strategy uses two Simple Moving Averages (SMAs) to spot trend changes and generate trade signals on any market or timeframe.
How it works:
➡️ Long Entry: When the fast SMA (default 14) crosses above the slow SMA (default 28), enter a long position.
⬇️ Short Entry: When the fast SMA crosses below the slow SMA, enter a short position.
🔄 Exit: Positions close when the opposite crossover happens, capturing trend reversals.
Features:
⚙️ Adjustable SMA lengths for different markets or styles
💰 Position sizing as % of equity (default 1%) for risk management
📊 Plots fast (blue) and slow (orange) SMAs on the chart
🔔 Alerts on every long & short entry crossover for automation or notifications
Use Cases:
Perfect for trend-following traders in crypto, stocks, forex, and more — simple and effective.
⚠️ Disclaimer
Backtests and alerts are based on historical data and don’t guarantee future results. Always test carefully and manage your risk!
My strategyThis strategy is designed for BTC/USDT breakout trading on short-to-medium timeframes. It enters positions when price breaks out above recent highs or below recent lows, using automated risk management and alerts.
🔍 Core Logic
Long entry: When price breaks above the highest high of the last N candles (default: 20).
Short entry: When price breaks below the lowest low of the last N candles.
This logic helps detect momentum-driven breakout moves based on recent price consolidation.
⚙️ Strategy Settings
Capital: $10,000
Order size: 1% of equity per trade
Commission: 0.1% per trade (simulating exchange fees)
Slippage: 3 ticks (for realism)
Take Profit: 3% from entry
Stop Loss: 1.5% from entry
These settings aim to provide realistic, risk-conscious backtest results, suitable for individual traders.
📊 Visual Features
Green line = Breakout High
Red line = Breakout Low
Entry/exit markers are plotted on the chart
🔔 Alerts
Alerts are integrated for:
Long Entry
Short Entry
You can create TradingView alerts using this script to automate notifications or connect to external bots (e.g., via webhook for Telegram or Discord).
🧠 How This Strategy Is Different
While many breakout bots use standard Donchian channels, this version allows you to:
Tune the breakout sensitivity (via the adjustable lookback period)
Customize TP/SL without external inputs
Integrate alerts for real-time decision making or automation
The simplicity and flexibility make it useful as both a live tool and a framework for further development.
⚠️ Disclaimer
This script is for educational purposes only. Backtests are based on historical data and do not guarantee future results. Always test thoroughly before using in live trading. Risk only what you can afford to lose.
MACD + Stochastic Power Scalper Version 9.1MACD + Stochastic Scalping Strategy with Trailing SL and TP. Ideal for Crypto Futures pairs with high volatility
逆勢布林+RSI策略 for SOL可以直接套用到 SOLUSDT, SOLPERP, 或其他 SOL 合約。
在策略回測介面中選擇 5min 或 15min 看策略表現。
若要調整停利%或 RSI 數值，改變 rsi < 25 與 (shortEntryPrice - close) / shortEntryPrice >= 0.035 即可。
This can be directly applied to SOLUSDT, SOLPERP, or other SOL futures.
In the strategy backtesting interface, select 5-minute or 15-minute periods to view strategy performance.
To adjust the take-profit percentage or RSI value, set RSI < 25 and (shortEntryPrice - close) / shortEntryPrice >= 0.035.
strategy15min bar, short-term and scalp strategy, eth, using stdev as trend line, long when price hits the lower line, short when price hits the upper line.
NOMANOMA Adaptive Confidence Strategy —
What is NOMA?
NOMA is a next-generation, confidence-weighted trading strategy that fuses modern trend logic, multi-factor market structure, and adaptive risk controls—delivering a systematic edge across futures, stocks, forex, and crypto markets. Designed for precision, adaptability, and hands-off automation, NOMA provides actionable trade signals and real-time alerts so you never miss a high-conviction opportunity.
Key Benefits & Why Use NOMA?
Trade With Confidence, Not Guesswork:
NOMA combines over 11 institutional-grade confirmations (market structure, order flow, volatility, liquidity, SMC/ICT concepts, and more) into a single “confidence score” engine. Every trade entry is filtered through customizable booster weights, so only the strongest opportunities trigger.
Built-In Alerts:
Get instant notifications on all entries, take-profits, trailing stop events, and exits. Connect alerts to your mobile, email, or webhook for seamless automation or just peace of mind.
Advanced Position Management:
Supports up to 5 separate take-profit levels with adjustable quantities, plus dynamic and stepwise trailing stops. Protects your gains and adapts exit logic to market movement, not just static targets.
Anti-Chop/No Trade Zones:
Eliminate low-probability, sideways market conditions using the “No Chop Zone” filter, so you only trade in meaningful, trending environments.
Full Market Session Control:
Restrict trades to custom sessions (e.g., New York hours) for added discipline and to avoid overnight risk.
— Ideal for day traders and prop-firm requirements.
Multi-Asset & Timeframe Support:
Whether you trade micro futures, stocks, forex, or crypto, NOMA adapts its TP/SL logic to ticks, pips, or points and works on any timeframe.
How NOMA Works (Feature Breakdown)
1. Adaptive Trend Engine
Uses a custom NOMA line that blends classic moving averages with dynamic momentum and a proprietary “Confidence Momentum Oscillator” overlay.
Visual trend overlay and color fill for easy chart reading.
2. Multi-Factor Confidence Scoring
Each trade is scored on up to 11 confidence “boosters,” including:
Market Manipulation & Accumulation (detects smart money traps and true range expansions)
Accumulation/Distribution (AD line)
ATR Volatility Rank (prioritizes trades when volatility is “just right”)
COG Cross (center of gravity reversal points)
Change of Character/Break of Structure (CHoCH/BOS logic, SMC/ICT style)
Order Blocks, Breakers, FVGs, Inducements, OTE (Optimal Trade Entry) Zones
You control the minimum score required for a trade to trigger, plus the weight of each factor (customize for your asset or style).
3. Smart Trade Management
Step Take-Profits:
Up to 5 profit targets, each with individual contract/quantity splits.
Step Trailing Stop:
Trail your stop with a ratcheting logic that tightens after each TP is hit, or use a fully dynamic ATR-based trail for volatile markets.
Kill-Switch:
Instant trailing stop logic closes all open contracts if price reverses sharply.
4. Session Filter & Cooldown Logic
Restricts trading to key sessions (e.g., NY open) to avoid low-liquidity or dead zones.
Cooldown bars prevent “overtrading” or rapid re-entries after an exit.
5. Chop Zone Filter
Optionally blocks trades during flat/choppy periods using a custom “NOMA spread” calculation.
When enabled, background color highlights no-trade periods for clarity.
6. Real-Time Alerts
Receive alerts for:
Trade entries (long & short, with confidence score)
Every take-profit target hit
Trailing stop exits or full position closes
Easy setup: Create alerts for all conditions and get notified instantly.
Customization & Inputs
TP/SL Modes: Choose between manual, ATR-multiplied, or hybrid take-profit and trailing logic.
Position Sizing: Fixed contracts/quantity per trade, with customizable splits for scaling out.
Session Settings: Restrict to any time window.
Confidence Engine: User-controlled weights and minimum score—tailor for your asset.
Risk & Volatility Filters: ATR length/multiplier, min/max range, and more.
How To Use
Add NOMA to your chart.
Customize your settings (session, TPs, confidence scores, etc.).
Set up TradingView alerts (“Any Alert() function call”) to receive notifications.
Monitor trade entries, profit targets, and stops directly on your chart or in your inbox.
Adjust confidence weights as you optimize for your favorite asset.
Pro Tips
Start with default settings—they are optimized for NQ micro futures, 15m timeframe.
Increase the minimum confidence score or weights for stricter filtering in volatile or low-liquidity markets.
Adjust your take-profit and trailing stop settings to match your trading style (scalping vs. swing).
Enable “No Chop Zone” during sideways conditions for cleaner signals.
Test in strategy mode before trading live to dial in your risk and settings.
Disclaimer
This script is for educational and research purposes only. No trading system guarantees future results.
Performance will vary by symbol, timeframe, and market regime—always test settings and use at your own risk. Not investment advice.
If alerts or strategy entries are not triggering as expected, try lowering the minimum confidence score or disabling certain boosters.
This will come with a user manual please do not hesitate to message me to gain access. TO THE MOON AND BEYOND
Tri-Monthly BTC Swing StrategyWhat This Does:
Component Function
EMA200 Filters long-term bullish conditions
MACD crossover Confirms swing entry
RSI > 50 Confirms momentum is strong
90-day cooldown Ensures you're not overtrading
Exit on MACD/RSI weakness Protects from reversals
FFI-Trend Rider ProFFI-Trend Rider Pro is a trend-following strategy designed to help traders make more structured and disciplined entries.
It uses a crossover between the 11 EMA and 21 SMA to detect potential trend shifts, while avoiding premature entries by checking how far the price is from the moving averages. If the price is extended, it waits for a pullback — just like professional traders do.
The indicator also includes:
Auto stoploss based on 21 SMA
Visual background colors based on RSI to help gauge trend strength
A built-in trade info table showing current trade type, entry price, stoploss, and trailing SL
Strategy-enabled functionality for easy backtesting
🔍 Ideal For:
Intraday & Swing Traders
Traders who want fewer, high-quality trades
Anyone looking to reduce emotional decision-making
⚠️ Disclaimer:
This script is for educational purposes only and does not constitute financial advice. Always do your own analysis before making any trading decisions. Past performance is not indicative of future results.
Best Profitable Hours Strategy with TP/SL Core Concept:
Trades only during historically most profitable market hours (based on specified lookback period)
Input Parameters:
Lookback period (5-30+ days)
Number of top profitable hours to trade (1-6)
Long/short trade enable/disable
Customizable TP/SL percentages
Data Processing:
Tracks hourly returns in 24-element arrays
Resets calculations daily at market close
Ranks hours by profitability using array sorting
Trading Logic:
Entries only during top-performing hours
Position sizing: 100% margin allocation
Automatic exit at end of each trading hour
0.1% commission per trade
Risk Management:
Percentage-based take profit orders
Percentage-based stop loss orders
Separate TP/SL for long and short positions
Visual Features:
Blue background highlighting best trading hours
Triangle markers for entry points
Real-time TP/SL level indicators (circles)
Color-coded signals (green=long, red=short)
Position Handling:
Prevents multiple entries in same hour
Closes all positions when best-hour window ends
Uses average entry price for TP/SL calculation
Optimization:
Adjustable historical analysis period
Customizable number of trading hours
Flexible TP/SL ratios
The strategy combines historical hour performance analysis with active trade management through TP/SL orders, providing visual feedback for trading decisions while maintaining strict hour-based position control
