The Always Winning Holy Grail Strategy - Not (by ChartArt)How to win all the time if 1+1 = 2
The most upvoted strategies on Tradingview are those which seemingly work 100%, but they actually don't at all because they are repainting and would not work in live trading reality. They are using the multi-time-frame strategy testing bug and thereby trade during the backtest on close prices before the bar has closed in reality.
Top list of these cheating repainting strategies:
1569 upvotes ANN Strategy
877 upvotes Vdub FX SniperVX3 Strategy
481 upvotes Get Trend Strategy
I guess there are much more strategies among the top upvoted strategies on Tradingview which cheat with a multi-time-frame close price, but three examples are enough. The ANN Strategy uses the daily close price as multi-time-frame and cheats with that. The Vdub FX SniperVX3 Strategy uses the half-day (720 minute) close price to cheat and the Get Trend Strategy uses the 160 minute bar close for repaint cheating (at least here the author of this strategy explains that his strategy is only demo and would not work, which might be the reason why it has 1000 less upvotes than the ANN Strategy. I already wrote months ago a comment underneat these strategies to explain this issue but it hasn't stopped these strategies from getting more and more upvotes and staying in the top list.
I thought this way of cheating is lame, so I invented a new way to cheat my way to seemingly reach 100% profitable trades all the time by going long if 1+1 is equal to 2. Welcome to super wide stop losses. Simply use a extreme unrealistic large stop loss and take profit after a realistic amount of pips and according to Tradingview's current backtest module you win 100% all the time. Yay! :)
My recommendation for the Tradingview team is to add a function to let the user define a stop out and margin call level and maybe set a realistic setting as default, like 100%.
Please don't trade with this strategy!
Search in scripts for "take profit"
How to automate this strategy for free using a chrome extension.Hey everyone,
Recently we developed a chrome extension for automating TradingView strategies using the alerts they provide. Initially we were charging a monthly fee for the extension, but we have now decided to make it FREE for everyone. So to display the power of automating strategies via TradingView, we figured we would also provide a profitable strategy along with the custom alert script and commands for the alerts so you can easily cut and paste to begin trading for profit while you sleep.
Step 1:
You are going to need to download the Chrome Extension called AutoView. You can get the extension for free by following this link: bit.ly ( I had to shorten the link as it contains Google and TV automatically converts it to a symbol)
Step 2: Go to your chrome extension page, and under the new extension you'll see a "settings" button. In the setting you will have to connect and give permission to the exchange 1broker allowing the extension to place your orders automatically when triggered by an alert.
Step 3: Setup the strategy and custom script for the alerts in TradingView. The attached script is the strategy, you can play with the settings yourself to try and get better numbers/performance if you please.
This following script is for the custom alerts:
//@version=2
study("4All-Alert", shorttitle="Alerts")
src = close
len = input(4, minval=1, title="Length")
up = rma(max(change(src), 0), len)
down = rma(-min(change(src), 0), len)
rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down))
rsin = input(5)
sn = 100 - rsin
ln = 0 + rsin
short = crossover(rsi, sn) ? 1 : 0
long = crossunder(rsi, ln) ? 1 : 0
plot(long, "Long", color=green)
plot(short, "Short", color=red)
Now that you have the extension installed, the custom strategy and alert scripts in place, you simply need to create the alerts.
To get the alerts to communicate with the extension properly, there is a specific syntax that you will need to put in the message of the alert. You can find more details about the syntax here : gist.github.com
For this specific strategy, I use the Alerts script, long/short greater than 0.9 on close.
In the message for a long place this as your message:
Long
c=order b=short
c=position b=short l=200 t=market
b=long q=0.01 l=200 t=market tp=13 sl=25
and for the short...
Short
c=order b=long
c=position b=long l=200 t=market
b=short q=0.01 l=200 t=market tp=13 sl=25
If you'll notice in my above messages, compared to the strategy my tp and sl (take profit and stop loss) vary by a few pips. This is to cover the market opens and spread on 1broker. You can change the tp and sl in the strategy to the above and see that the overall profit will not vary much at all.
I hope this all makes sense and it is enough to not only make some people money, but to show the power of coming up with your own strategy and automating it using TradingView alerts and the free Chrome Extension AutoView.
ps. I highly recommend upgrading your TradingView account so you have access to back testing and multiple alerts.
There is really no reason you won't cover the cost and then some on a monthly basis using the tools provided.
Best of luck and happy trading.
Note: The extension currently allows for automation on 2 exchanges; 1broker and Okcoin. If you do not have accounts there, we'd appreciate you signing up using our referral links.
www.okcoin.com
1broker.com
FluxMA ProFluxMA Pro
FluxMA Pro is an intraday trend-following strategy based on moving-average cross signals , with built-in execution filters (time window + weekdays), direction control, and an optional strict one-trade-per-day rule.
The system enters when price crosses the selected moving average, and manages risk using fixed SL/TP in ticks . For clarity and auditing, it plots the MA and draws risk (SL) / reward (TP) zones on the chart.
This script is published for educational and research purposes , with documented mechanics and replication settings to support transparency and reproducibility.
How the strategy works
Signal engine (MA cross)
A base Moving Average (MA) is computed from a selectable price source.
A Long signal triggers when price crosses above the MA.
A Short signal triggers when price crosses below the MA.
Execution filters
Time filter : trades only inside the configured window (supports overnight windows correctly).
Weekday filter : enable/disable trading by day (Mon–Sun).
Direction filter : run Long only , Short only , or Both .
One trade per day (optional) : if enabled, once a trade is placed, no new trades are allowed until the next daily reset.
Risk management (ticks)
Stop-loss and take-profit are set using fixed distances in ticks from entry.
Orders are placed with a stop and a limit exit to keep execution auditable.
Visual audit layer
Plots the Moving Average on the chart.
Draws SL/TP zones as boxes that extend while the position is open.
Adds entry labels (“buy” / “sell”) for quick review in replays and optimizations.
Visual features
MA plot with selectable MA type (SMA/EMA/WMA/RMA) and length.
Risk/Reward boxes projected from entry (SL zone + TP zone).
Entry labels with configurable styling (label/flag) and colors.
Settings used for the published backtest (replication)
The performance screenshots included with this publication were generated using the following configuration:
Market & chart
Symbol : XAUUSD (FXCM feed)
Timeframe : 15 minutes
Date range : 02 Jan 2025 → 07 Nov 2025
Inputs (Strategy settings)
Source : Close
MA type : SMA
MA length : 10
Stop Loss : 1400 ticks
Take Profit : 2000 ticks
Time filter : enabled — 06:00 to 22:15 (exchange time)
Weekday filter : enabled — Monday to Sunday enabled
Direction : Long only
One trade per day : enabled
TradingView Strategy Properties used
Initial capital : 1,000 USD
Commission : 0.2 (as set in Strategy Properties)
Slippage : 1 tick
Backtest snapshot (as shown)
Net Profit : +727.41 USD (+72.74%)
Max Drawdown : 200.25 USD (12.71%)
Total Trades : 218
Win Rate : 52.29% (114 / 218)
Profit Factor : 1.485
Backtest context and limitations
Stop/limit fills may occur intrabar depending on TradingView’s execution model and bar magnifier assumptions.
Results vary by symbol, timeframe, broker feed, spreads, commissions, slippage, and session selection.
Past performance does not guarantee future results.
This script is not financial advice.
Originality and usefulness
While MA-cross strategies are a known concept, FluxMA Pro focuses on an execution-grade implementation designed for testing and disciplined deployment:
Execution guardrails : optional one-trade-per-day lock + direction filter to prevent over-trading and strategy drift.
Session handling done properly : time windows support overnight logic (no “broken window” edge cases).
MA modularity : SMA/EMA/WMA/RMA selection enables controlled experiments without rewriting logic.
Auditable visuals : SL/TP zones and labels allow fast review of behavior during replays, optimization, and multi-asset scans.
Supertrend Strategy PRO FiltersSupertrend Strategy — PRO Filters is an extended trend-following strategy based on the classic SuperTrend indicator, enhanced with 7 independent professional entry-quality filters, a Stop Loss / Take Profit system, and higher timeframe support.
The strategy is designed for intraday and swing trading on liquid instruments (stocks, futures, cryptocurrencies).
The core logic of the strategy
The strategy is built around the SuperTrend indicator calculated using ATR:
Long — when the trend changes from bearish to bullish
Short — when the trend changes from bullish to bearish
The trend reversal is determined by a breakout of the dynamic SuperTrend lines (up / down), which adapt to market volatility.
Filter system (7 levels)
Each filter can be enabled or disabled independently, allowing the strategy to be adapted to any market and trading style.
ATR Regime Filter
Purpose: trading only during active market phases
An entry is allowed when the current ATR is above its average value
Filters out flat and low-volatility periods
Higher Timeframe Trend Filter
Purpose: trading only in the direction of the higher timeframe trend
Uses SuperTrend on the higher timeframe
Long — only when the HTF trend is bullish
Short — only when the HTF trend is bearish
RSI Impulse Filter
Purpose: filtering out weak and late impulses
Long: RSI above a specified level
Short: RSI below a specified level
Candle Quality Filter
Purpose: excluding entries on “noisy” candles
Entries are allowed only when the candle body is significantly larger than the wicks
Helps avoid false breakouts
SuperTrend Slope Filter
Purpose: confirming trend strength
The slope of the SuperTrend lines is analyzed
Entries are allowed only when sufficient momentum is present
Volume Filter
Purpose: confirming price movement with volume
Volume must exceed the SMA of volume by a multiplier
Filters out moves without participation from large players
EMA Trend Filter
Purpose: additional direction filter
Long — price above EMA
Short — price below EMA
Final entry conditions
A trade is opened only when all of the following are met:
A SuperTrend trend-change signal
All enabled filters
This significantly reduces the number of trades while improving their quality.
Risk management (SL / TP)
An optional fixed-risk system:
Take Profit — as a percentage of the entry price
Stop Loss — as a percentage of the entry price
Works identically for both Long and Short positions
Usage recommendations
Best results are typically achieved on 15m–1h timeframes
It is recommended to optimize filters for each specific instrument
Especially effective in markets with strong, well-defined trends
Disclaimer
This strategy is intended for analysis and educational purposes only.
Before using it in live trading, be sure to conduct your own testing and optimization.
Supertrend Strategy — PRO Filters — это расширенная трендовая стратегия на базе классического SuperTrend, дополненная 7 независимыми профессиональными фильтрами качества входа, системой Stop Loss / Take Profit и поддержкой старшего таймфрейма.
Стратегия предназначена для интрадей- и свинг-торговли на ликвидных инструментах (акции, фьючерсы, криптовалюты).
Базовая логика стратегии
В основе стратегии лежит индикатор SuperTrend, построенный на ATR:
Long — при смене тренда с нисходящего на восходящий
Short — при смене тренда с восходящего на нисходящий
Смена направления определяется пробоем динамических линий SuperTrend (up / down), адаптирующихся к волатильности рынка.
Система фильтров (7 уровней)
Каждый фильтр можно включать или отключать независимо, что позволяет адаптировать стратегию под любой рынок и стиль торговли.
ATR Regime Filter
Назначение: торговля только в активной фазе рынка
Вход разрешён, если текущий ATR выше своего среднего значения
Отсекает флэт и низковолатильные периоды
Higher Timeframe Trend Filter
Назначение: торговля только в сторону тренда старшего таймфрейма
Используется SuperTrend на HTF
Long — только при восходящем тренде HTF
Short — только при нисходящем
RSI Impulse Filter
Назначение: фильтрация слабых и запаздывающих импульсов
Long: RSI выше заданного уровня
Short: RSI ниже заданного уровня
Candle Quality Filter
Назначение: исключение входов по «шумным» свечам
Вход только если тело свечи существенно больше фитилей
Помогает избежать ложных пробоев
SuperTrend Slope Filter
Назначение: подтверждение силы тренда
Анализируется наклон линий SuperTrend
Вход разрешён только при достаточной динамике
Volume Filter
Назначение: подтверждение движения объёмом
Объём должен превышать SMA объёма с коэффициентом
Исключает входы без участия крупных игроков
EMA Trend Filter
Назначение: дополнительный фильтр направления
Long — цена выше EMA
Short — цена ниже EMA
Итоговые условия входа
Сделка открывается только при одновременном выполнении:
Сигнала смены тренда SuperTrend
Всех активированных фильтров
Это значительно снижает количество сделок, но повышает их качество.
Управление рисками (SL / TP)
Опциональная система фиксированного риска:
Take Profit — в процентах от цены входа
Stop Loss — в процентах от цены входа
Работает одинаково для Long и Short
Рекомендации по использованию
Лучшие результаты показывает на 15m–1h таймфреймах
Рекомендуется оптимизация фильтров под конкретный инструмент
Особенно эффективна на рынках с выраженными трендами
Дисклеймер
Стратегия предназначена для анализа и обучения.
Перед использованием в реальной торговле обязательно проведите собственное тестирование и оптимизацию.
Переведи на английский. Не форматироу просто перевод
Scalping Acciones PRO (Entradas + TP + SL) leo
How to use it correctly
• Timeframe: 1m or 5m
• High-volume stocks (SPY, AAPL, TSLA, NVDA…)
• Take Profit (TP): VWAP or EMA 21
• Stop Loss (SL): low/high of the signal candle
⸻
If you want, in the next message I can:
• 🔧 add automatic Stop Loss and Take Profit
• 🚀 convert it into a strategy (Strategy Tester)
• 🎯 filter only strong reversals (fewer false signals)
SaLaSaLa V6 5m By Aleem MubarakThis strategy uses RSI-MA, Multi-timeframe crossing of RSI, Multi-timeframe crossing of MA and the Crossing of RSI with MA itself on the baseline timeframe (5 minutes), while the alignment timeframes are 15m, 1hr, 4hr.
It uses Bolinger Bands to filter out false breakouts and uses an adjustable step-wise trailing as the exit conditions, so for this reason the strategy has a trailing take profit.
This strategy works best on 5 minutes timeframe for scalpers.
You may find the backtesting result using the tester option on trading view.
Just Integrate your broker on Trading View and make the strategy pick trades automatically and watch your investment grow.
Credit to
Lux Algo, Techno Bloom for their indicators which was used as vision during checks
Daily Dynamic Grid StrategyHi everyone,
This strategy is built around a dynamic daily grid concept, using an upper and lower daily range that is automatically divided into multiple grid levels.
The idea is to take advantage of daily volatility by executing DCA entries on specific grid levels, based on predefined conditions.
Key points of the strategy & feature:
I recommend using 1H or 2H timeframe for this strategy
Take profit by grid
When DCA is active (>1 entry), the exit condition switches to close above the average price
A hard stop loss is applied
Includes an optional Trailing TP / SL to help maximize profit during strong moves
Like most DCA-based strategies, it tends to have a high win rate, but during strong market dumps, losses can become relatively large
Can also be used for backtest on Forex markets such as Gold, where using the trailing option is generally more effective
And still trial for the webhook, may continue to improve and update this strategy in future versions.
Simple Candle Strategy# Candle Pattern Strategy - Pine Script V6
## Overview
A TradingView trading strategy script (Pine Script V6) that identifies candlestick patterns over a configurable lookback period and generates trading signals based on pattern recognition rules.
## Strategy Logic
The strategy analyzes the most recent N candlesticks (default: 5) and classifies their patterns into three categories, then generates buy/sell signals based on specific pattern combinations.
### Candlestick Pattern Classification
Each candlestick is classified as one of three types:
| Pattern | Definition | Formula |
|---------|-----------|---------|
| **Close at High** | Close price near the highest price of the candle | `(high - close) / (high - low) ≤ (1 - threshold)` |
| **Close at Low** | Close price near the lowest price of the candle | `(close - low) / (high - low) ≤ (1 - threshold)` |
| **Doji** | Opening and closing prices very close; long upper/lower wicks | `abs(close - open) / (high - low) ≤ threshold` |
### Trading Rules
| Condition | Action | Signal |
|-----------|--------|--------|
| Number of Doji candles ≥ 3 | **SKIP** - Market is too chaotic | No trade |
| "Close at High" count ≥ 2 + Last candle closes at high | **LONG** - Bullish confirmation | Buy Signal |
| "Close at Low" count ≥ 2 + Last candle closes at low | **SHORT** - Bearish confirmation | Sell Signal |
## Configuration Parameters
All parameters are adjustable in TradingView's "Settings/Inputs" tab:
| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| **K-line Lookback Period** | 5 | 3-20 | Number of candlesticks to analyze |
| **Doji Threshold** | 0.1 | 0.0-1.0 | Body size / Total range ratio for doji identification |
| **Doji Count Limit** | 3 | 1-10 | Number of dojis that triggers skip signal |
| **Close at High Proximity** | 0.9 | 0.5-1.0 | Required proximity to highest price (0.9 = 90%) |
| **Close at Low Proximity** | 0.9 | 0.5-1.0 | Required proximity to lowest price (0.9 = 90%) |
### Parameter Tuning Guide
#### Proximity Thresholds (Close at High/Low)
- **0.95 or higher**: Stricter - only very strong candles qualify
- **0.90 (default)**: Balanced - good for most market conditions
- **0.80 or lower**: Looser - catches more patterns, higher false signals
#### Doji Threshold
- **0.05-0.10**: Strict doji identification
- **0.10-0.15**: Standard doji detection
- **0.15+**: Includes near-doji patterns
#### Lookback Period
- **3-5 bars**: Fast, sensitive to recent patterns
- **5-10 bars**: Balanced approach
- **10-20 bars**: Slower, filters out noise
## Visual Indicators
### Chart Markers
- **Green Up Arrow** ▲: Long entry signal triggered
- **Red Down Arrow** ▼: Short entry signal triggered
- **Gray X**: Skip signal (too many dojis detected)
### Statistics Table
Located at top-right corner, displays real-time pattern counts:
- **Close at High**: Count of candles closing near the high
- **Close at Low**: Count of candles closing near the low
- **Doji**: Count of doji/near-doji patterns
### Signal Labels
- Green label: "✓ Long condition met" - below entry bar
- Red label: "✓ Short condition met" - above entry bar
- Gray label: "⊠ Too many dojis, skip" - trade skipped
## Risk Management
### Exit Strategy
The strategy includes built-in exit rules based on ATR (Average True Range):
- **Stop Loss**: ATR × 2
- **Take Profit**: ATR × 3
Example: If ATR is $10, stop loss is at -$20 and take profit is at +$30
### Position Sizing
Default: 100% of equity per trade (adjustable in strategy properties)
**Recommendation**: Reduce to 10-25% of equity for safer capital allocation
## How to Use
### 1. Copy the Script
1. Open TradingView
2. Go to Pine Script Editor
3. Create a new indicator
4. Copy the entire `candle_pattern_strategy.pine` content
5. Click "Add to Chart"
### 2. Apply to Chart
- Select your preferred timeframe (1m, 5m, 15m, 1h, 4h, 1d)
- Choose a trading symbol (stocks, forex, crypto, etc.)
- The strategy will generate signals on all historical bars and in real-time
### 3. Configure Parameters
1. Right-click the strategy on chart → "Settings"
2. Adjust parameters in the "Inputs" tab
3. Strategy will recalculate automatically
4. Backtest results appear in the Strategy Tester panel
### 4. Backtesting
1. Click "Strategy Tester" (bottom panel)
2. Set date range for historical testing
3. Review performance metrics:
- Win rate
- Profit factor
- Drawdown
- Total returns
## Key Features
✅ **Execution Model Compliant** - Follows official Pine Script V6 standards
✅ **Global Scope** - All historical references in global scope for consistency
✅ **Adjustable Sensitivity** - Fine-tune all pattern detection thresholds
✅ **Real-time Updates** - Works on both historical and real-time bars
✅ **Visual Feedback** - Clear signals with labels and statistics table
✅ **Risk Management** - Built-in ATR-based stop loss and take profit
✅ **No Repainting** - Signals remain consistent after bar closes
## Important Notes
### Before Trading Live
1. **Backtest thoroughly**: Test on at least 6-12 months of historical data
2. **Paper trading first**: Practice with simulated trades
3. **Optimize parameters**: Find the best settings for your trading instrument
4. **Manage risk**: Never risk more than 1-2% per trade
5. **Monitor performance**: Review trades regularly and adjust as needed
### Market Conditions
The strategy works best in:
- Trending markets with clear directional bias
- Range-bound markets with defined support/resistance
- Markets with moderate volatility
The strategy may underperform in:
- Highly choppy/noisy markets (many false signals)
- Markets with gaps or overnight gaps
- Low liquidity periods
### Limitations
- Works on chart timeframes only (not intrabar analysis)
- Requires at least 5 bars of history (configurable)
- Fixed exit rules may not suit all trading styles
- No trend filtering (will trade both directions)
## Technical Details
### Historical Buffer Management
The strategy declares maximum bars back to ensure enough historical data:
```pine
max_bars_back(close, 20)
max_bars_back(open, 20)
max_bars_back(high, 20)
max_bars_back(low, 20)
```
This prevents runtime errors when accessing historical candlestick data.
### Pattern Detection Algorithm
```
For each bar in lookback period:
1. Calculate (high - close) / (high - low) → close_to_high_ratio
2. If close_to_high_ratio ≤ (1 - threshold) → count as "Close at High"
3. Calculate (close - low) / (high - low) → close_to_low_ratio
4. If close_to_low_ratio ≤ (1 - threshold) → count as "Close at Low"
5. Calculate abs(close - open) / (high - low) → body_ratio
6. If body_ratio ≤ doji_threshold → count as "Doji"
Signal Generation:
7. If doji_count ≥ cross_count_limit → SKIP_SIGNAL
8. If close_at_high_count ≥ 2 AND last_close_at_high → LONG_SIGNAL
9. If close_at_low_count ≥ 2 AND last_close_at_low → SHORT_SIGNAL
```
## Example Scenarios
### Scenario 1: Bullish Signal
```
Last 5 bars pattern:
Bar 1: Closes at high (95%) ✓
Bar 2: Closes at high (92%) ✓
Bar 3: Closes at mid (50%)
Bar 4: Closes at low (10%)
Bar 5: Closes at high (96%) ✓ (last bar)
Result:
- Close at high count: 3 (≥ 2) ✓
- Last closes at high: ✓
- Doji count: 0 (< 3) ✓
→ LONG SIGNAL ✓
```
### Scenario 2: Skip Signal
```
Last 5 bars pattern:
Bar 1: Doji pattern ✓
Bar 2: Doji pattern ✓
Bar 3: Closes at mid
Bar 4: Doji pattern ✓
Bar 5: Closes at high
Result:
- Doji count: 3 (≥ 3)
→ SKIP SIGNAL - Market too chaotic
```
## Performance Optimization
### Tips for Better Results
1. **Use Higher Timeframes**: 15m or higher reduces false signals
2. **Combine with Indicators**: Add volume or trend filters
3. **Seasonal Adjustment**: Different parameters for different seasons
4. **Instrument Selection**: Test on liquid, high-volume instruments
5. **Regular Rebalancing**: Adjust parameters quarterly based on performance
## Troubleshooting
### No Signals Generated
- Check if lookback period is too large
- Verify proximity thresholds aren't too strict (try 0.85 instead of 0.95)
- Ensure doji limit allows for trading (try 4-5 instead of 3)
### Too Many False Signals
- Increase proximity thresholds to 0.95+
- Reduce lookback period to 3-4 bars
- Increase doji limit to 3-4
- Test on higher timeframes
### Strategy Tester Shows Losses
- Review individual trades to identify patterns
- Adjust stop loss and take profit ratios
- Change lookback period and thresholds
- Test on different market conditions
## References
- (www.tradingview.com)
- (www.tradingview.com)
- (www.investopedia.com)
- (www.investopedia.com)
## Disclaimer
**This strategy is provided for educational and research purposes only.**
- Not financial advice
- Past performance does not guarantee future results
- Always conduct thorough backtesting before live trading
- Trading involves significant risk of loss
- Use proper risk management and position sizing
## License
Created: December 15, 2025
Version: 1.0
---
**For updates and modifications, refer to the accompanying documentation files.**
AlgoIndex NQ/MNQ FuturesAlgoIndex Futures v3.15 - NQ/MNQ (10-Minute RTH)
This strategy is specifically tailored for trading CME Nasdaq futures - NQ and MNQ, including continuous symbols such as NQ1!/MNQ1!. It is optimized for a 10-minute chart during U.S. Regular Trading Hours (RTH), utilizing session settings defined in the Inputs. This strategy is not intended for other futures contracts or markets.
Core Concept
The strategy employs an ATR-based trend-band model similar to Supertrend for identifying directional mechanism changes in NQ/MNQ. Trade signals are evaluated at the bar close, incorporating session and time-based safety techniques to mitigate lower-quality trading opportunities near session boundaries.
Recommended Use (Optimized Defaults)
The default input parameters are fine-tuned for NQ/MNQ on the 10-minute chart. Users are encouraged to utilize these defaults initially and to make incremental adjustments to one variable at a time to understand the impact on the strategy's performance, trading frequency, and risk profile.
Configurable Inputs
- Take Profit / Stop Loss Settings:
- Enable Stop Loss and define Stop Loss (Points)
- Enable Take Profit and define Take Profit (Points)
- Enable Trailing Stop and set both Trailing Stop (Points) and Trailing Offset (Points)
- Time Avoidance Filter:
- Enable Time Avoidance
- Avoid First X Minutes
- Avoid Last X Minutes
- Display Avoidance Zones (visual overlay)
- Session Filter and End-of-Day Management:
- Enable Session Filter
- Define Trading Session (default: 09:30-16:00)
- Select Session Timezone
- Option to Close Positions at Session End
- Specify EOD Close Minutes Before (default: 20)
- Safety Controls:
- Option to Close Before Holidays (when enabled, this feature allows the strategy to flatten positions prior to holiday or early close conditions)
- Automation Settings (Optional):
- Ticker Override (optional)
- Define Contracts (position size)
- Strategy Configuration:
- Trade Direction: Both / Long Only / Short Only
- Visual Configuration:
- Option to Show Buy/Sell Signals
- Highlight Trend Zones
- Display Info Table
- Customizable Bull/Bear Colors
Alerts and Automation (Optional)
This strategy can generate order-fill alert payloads for hooking into webhook-based automation solutions. Keep in mind to validate your alert type and your bridge/broker configuration during Replay and paper trading. Note that reversals may trigger two sequential actions (e.g., exit followed by new entry).
Backtest Notes (Optional)
For more precise historical fill data, consider enabling TradingView’s Bar Magnifier in Strategy Properties. Always apply consistent assumptions for commission and slippage when comparing backtest results.
Disclaimer
This script is intended for informational and educational purposes only and does not constitute investment advice. Trading futures carries significant risk and may result in losses that exceed the initial deposit. Backtested results are hypothetical and do not guarantee future performance.
Recovery Adaptive Strategy [Starbots]🔁 Recovery Adaptive Strategy
Recovery Adaptive Strategy is an advanced, single-position trading strategy designed for professional traders who require adaptive exposure control, dynamic profit targeting, and rule-based recovery mechanics in high-volatility market environments.
The strategy applies a structured loss-streak framework where position sizing and take-profit objectives evolve systematically based on prior trade outcomes, while maintaining strict one-position execution at all times.
🧠 Strategic Framework
This strategy is built around a controlled adaptive execution model:
Only one position is active at any time
Each closed trade directly influences the parameters of the next entry
After a losing trade:
Position size scales according to a defined factor
Take-profit expands proportionally using a configurable multiplier
After a winning trade:
All parameters reset to their base configuration
Scaling progression is capped via a configurable maximum step limit
The methodology is designed to efficiently capitalize on expansion phases, volatility impulses, and directional inefficiencies, making it particularly suitable for high-volatility instruments and regimes.
⚙️ Adaptive Position Management
Position Sizing Modes
Percentage of Equity
Fixed Base Currency Amount (USDT / USD / EUR, etc.)
Each subsequent step applies a configurable size multiplier, enabling precise control over exposure progression across loss streaks.
🎯Dynamic Take-Profit Scaling
Take-profit levels increase automatically with each scaling step
A dedicated TP multiplier allows fine-tuning of profit expansion behavior
All targets are recalculated and updated dynamically while positions are open
Execution Control
Single-position logic (no grid, no concurrent hedging)
Optional forced exit and full reset upon reaching the maximum scaling step
Bar-confirmed execution to avoid signal repainting
📈 Signal Generation & Market Filters
The strategy supports multiple professional-grade entry models, selectable via settings:
MACD (12,26,9)
DMI (14)
RSI (70 / 30)
Stochastic (14,3,3)
Bollinger Bands + RSI
Market Structure (BOS / CHoCH)
Additional execution layers include:
Higher-timeframe signal evaluation
Volatility-based trade filtering
EMA trend alignment
Flat-market detection (optional)
The strategy is optimized for active, volatile markets, where price expansion and follow-through are frequent.
📊 Institutional-Style Analytics & Visualization
Integrated analytics provide full transparency into strategy behavior:
Adaptive Scaling Table
Position size per step
Take-profit expansion per step
Loss-streak hit distribution
On-Chart Execution Labels
Equity Usage Overview
Monthly & Yearly Performance Calendar
Backtest vs. Leverage Projection Dashboard
All dashboards and visual components are optional and configurable.
🧩 Intended Use
This strategy is designed for:
Advanced discretionary traders
Systematic traders
Quantitative research and optimization
High-volatility instruments and environments
It emphasizes structure, adaptability, and execution discipline, rather than static position sizing or fixed targets.
Scalping EMA + Pinbar Strategy (London & NY only, BE @ 1R)The scalping trading system uses two types of indicators:
EMA 10, EMA 21, EMA 50
Pinbar Indicator
Rules for entering a buy order:
If the closing price is above the EMA 50, the trend is uptrend and only buy orders should be considered.
The EMA 10 and EMA 21 lines must simultaneously be above the EMA 50.
The price must correct down at least 50% of the area created by the EMA 10 and EMA 21, or correct further down.
A Type 1 Pinbar candle (marked by the Pinbar indicator) must appear; this Pinbar candle must react to at least one of the three EMA lines (EMA 10, EMA 21, EMA 50) and close above the EMA 50.
This Pinbar candle must have a Pinbar strength value (marked by the Pinbar indicator) less than 2 to be considered valid. Check if the closing price of this pinbar candle is higher than the 50-day EMA and if the 10-day and 21-day EMAs are also higher than the 50-day EMA. If so, the conditions have been met and you can begin trading.
Place a buy stop order 0.1 pip higher than the highest price of the pinbar candle, and a stop loss order 0.1 pip lower than the lowest price of the pinbar candle. Set the take profit at 3R.
If the price moves past the previously set stop loss, cancel the pending order.
When the price moves 1R, move the stop loss back to the entry point.
The next trade can only be executed after the previous trade has moved the stop loss back to the entry point.
Rules for placing sell orders:
If the closing price is below the 50-day EMA, the trend is bearish, and only sell orders should be considered. The 10-day and 21-day EMAs must both be below the 50-day EMA.
The price must correct downwards by at least 50% of the area formed by the 10-day and 21-day EMAs, or even further.
A Type 1 pinbar candle (marked by the Pinbar indicator) must appear. This pinbar candle must react to at least one of the three EMAs (EMA 10, EMA 21, EMA 50) and close below the EMA 50.
This pinbar is valid if its strength (indicated by the Pinbar indicator) is less than 2. Verify that the closing price of this pinbar candle is below the EMA 50 and that both the EMA 10 and EMA 21 are below the EMA 50. If all conditions are met, the trade can be executed.
(This appears to be a separate entry rule and not part of the previous text.) Place a sell stop order 0.1 pip below the lowest point of the pinbar candle, and a stop loss order 0.1 pip above the highest point of the pinbar candle. Set the take profit point at 3R.
If the price moves past the previously set stop-loss point, cancel the pending order.
When the price moves 1R, move the stop-loss point back to the entry point.
The next trade can only be executed after the previous trade has moved the stop-loss point back to the entry point.
New Age US ORB═════════════════════════════════════════════════════════════
NEW AGE US ORB
Opening Range Breakout Strategy with Neon Glow Effect
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🔒 INVITE-ONLY ACCESS
This script requires an invitation to use.
To request access, please send me a private message.
═════════════════════════════════════════════════════════════
🎯 OVERVIEW
The New Age US ORB is a clean, professional Opening Range Breakout (ORB) strategy with a futuristic visual style featuring dynamic neon glow effects.
Designed for Crypto (BTC/USD) and Indices (US100, US30, SPX) trading.
Best results on 5-minute or 15-minute chart with Regular Candles.
The strategy captures the first 15 minutes of US market activity (9:30-9:45 NY) and trades breakouts in the direction of the initial move.
💎 WHAT MAKES THIS UNIQUE
Unlike standard ORB indicators, this strategy combines:
• Proprietary 3-layer Neon Glow visualization for enhanced box visibility
• Integrated US Session backgrounds for market context
• Smart Session Filter to avoid low-probability late entries
• Separate Long/Short TP management for asymmetric markets
• Automatic EOD position closure for overnight risk control
• Daily trade limiter to prevent overtrading
• Global Timezone Support - works correctly for traders worldwide
This combination of visual design and risk management features is not available in standard ORB scripts.
Trade Smarter, not Harder.
📦 WHAT IS ORB?
The Opening Range Breakout (ORB) strategy is based on the concept that the first 15 minutes of the US market session often sets the tone for the rest of the day. The High and Low established during this period act as key support/resistance levels.
• Price breaks ABOVE ORB High → Bullish momentum (LONG)
• Price breaks BELOW ORB Low → Bearish momentum (SHORT)
⚡ KEY FEATURES
📦 ORB BOX VISUALIZATION
• Automatically captures High/Low of 9:30-9:45 NY candle
• Dynamic color change:
→ Cyan: Price ABOVE ORB High (Bullish)
→ Red: Price BELOW ORB Low (Bearish)
• Extends throughout the trading session
✨ NEON GLOW EFFECT
• 3-layer glow effect around the ORB box
• Layered borders (8px → 5px → 3px) with gradient transparency
• Creates futuristic, high-visibility appearance
• Toggle on/off in settings
🕐 US SESSION BACKGROUNDS
• US Open (9:30-11:30 NY) - Blue
• Lunch Break (11:30-13:30 NY) - Orange
• Afternoon (13:30-16:00 NY) - Green
• Visual reference only - helps identify optimal trading windows
⏱️ SESSION FILTER
• Configurable trading window (default: until 11:50 NY)
• Prevents late entries when momentum fades
• EOD auto-close in YOUR selected timezone (default: 21:45)
🎚️ RISK MANAGEMENT
• ORB Box Stop Loss: SL at opposite ORB level + buffer
• Separate Take Profit settings for Long/Short
• Points or Percentage mode
• Daily trade limit (default: 6 trades max)
📊 INFO DASHBOARD
• Real-time status panel (top right)
• Shows: Timezone, Status, Session, Direction, Trades, SL/TP, EOD, ORB levels
⚙️ SETTINGS
TIMEZONE
└── Your Timezone: Select from 12 global timezones (Default: Europe/Zurich)
Available: UTC, New York, Chicago, Los Angeles, London, Berlin,
Zurich, Paris, Tokyo, Hong Kong, Singapore, Sydney
ORB BOX (9:30-9:45 NY)
├── Show ORB Box: true/false
└── Neon Glow Effect: true/false
US SESSION BACKGROUNDS
├── Show Session Background: true/false
├── US Open Color (9:30-11:30)
├── Lunch Color (11:30-13:30)
└── Afternoon Color (13:30-16:00)
SESSION FILTER
├── Enable Session Filter: true/false
├── Session End Hour (NY): 0-23
└── Session End Minute (NY): 0-59
DAILY CLOSE (Your Timezone)
├── Enable Daily Close: true/false
├── EOD Hour: 0-23
└── EOD Minute: 0-59
TRADE LIMITS
├── Enable Daily Limit: true/false
└── Max Trades per Day: 1-10
STOP LOSS
├── Enable ORB Box SL: true/false
└── SL Buffer: Points distance from ORB level
TAKE PROFIT - LONG
├── Enable TP Long: true/false
├── Mode: Points / Percent
├── TP Long Points: Distance in points
└── TP Long Percent: Distance in %
TAKE PROFIT - SHORT
├── Enable TP Short: true/false
├── Mode: Points / Percent
├── TP Short Points: Distance in points
└── TP Short Percent: Distance in %
COLORS
├── Bullish: Default #00ffbb (Cyan)
└── Bearish: Default #ff1100 (Red)
📈 HOW TO USE
1. Apply to BTC/USD or US100 on 5min or 15min timeframe
2. Use Regular Candles for realistic results
3. Go to Strategy Properties → Enable ☑️ "Recalculate On Bar Close"
4. Select your Timezone in settings (for correct EOD close time)
5. Wait for ORB box to complete (9:45 NY)
6. Strategy enters automatically on breakout:
→ LONG when price closes above ORB High
→ SHORT when price closes below ORB Low
7. Manage risk with ORB Box SL and TP settings
8. All positions close at EOD time (in your timezone)
🔔 ALERTS
• LONG Entry - Breakout above ORB High
• SHORT Entry - Breakout below ORB Low
• EOD Close - End of day position close
💡 BEST PRACTICES
• Most effective during US Open session (9:30-11:30 NY)
• Avoid Lunch session (11:30-13:30) - lower volatility
• ORB levels act as support/resistance all day
• Wider TP for trending days, tighter for ranging markets
• Use session filter to avoid late, low-probability entries
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© AL_R4D1 - New Age Style Trading Tools
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ORB Strategy: Extensions & Custom SL (EOD & Live Lines)That's a great request. Since you've now built a complex Pine Script Strategy with several user-configurable risk management, targeting, and exit options, the description should focus on the systematic rules used for entering, managing, and exiting trades.
Here is a clear, written description of the trading strategy you have built:
Trading Strategy Description: ORB Extension Breakout with Custom Stop, Live Tracking, and EOD Exit
This strategy is a systematic, momentum-based system designed for intraday trading. It operates on the principle of an Opening Range Breakout (ORB), utilizing the initial market consolidation to project high-probability targets, while offering multiple methods for managing risk and enforcing a mandatory end-of-day closure.
1. Market Identification (The Opening Range)
The strategy first defines the market's initial boundaries and volatility:
Session Window: The strategy calculates the Opening Range (OR) over a user-defined time period (default: 9:30 AM to 10:30 AM New York Time).
ORB Levels: Two key price levels are established and locked once the time window closes:
Wick High/Low: The absolute highest and lowest prices of the session. These serve as the entry trigger lines.
Body High/Low (Shaded Range): The highest and lowest open/close prices of the session. The height of this range is used as the basis for calculating all targets and stops.
2. Entry Rule (The Breakout)
The strategy waits passively for a breakout that confirms direction and ensures the move has not yet reached its immediate target.
Trigger Condition: A trade is signaled when a candle closes either:
Above the Wick High (for a Long entry).
Below the Wick Low (for a Short entry).
Constraint (Fresh Breakout): The entry is invalidated if the breakout candle's price action (High for Long, Low for Short) has already touched or surpassed the projected Take Profit (0.5 Extension) level before the candle closes.
Execution: The entry is a Market Order executed on the candle that meets the trigger conditions, subject to a user-defined Entry Delay (default 0 bars).
Direction Control: The user can select to trade Long Only, Short Only, or Both.
3. Exit and Risk Management
All trades are placed with simultaneous Take Profit and Stop Loss orders (a bracket order) upon entry.
A. Take Profit (TP)
The Take Profit is set at the 0.5 Extension of the Shaded Range (Body Range).
Calculation: The distance from the Body High/Low to the TP level is exactly 50% of the total height of the Shaded Range.
B. Stop Loss (SL)
The Stop Loss is dynamically calculated based on a user-selected method for risk control:
Range 0.5 (Body Range): The SL is placed an equal distance (0.5 times the Body Range height) outside the opposite side of the Body Range.
ATR Multiple: The Stop Loss distance is calculated as a user-defined Multiplier times the Average True Range (ATR).
Recent Swing Low/High: The Stop Loss is placed based on a structural low (for Long) or high (for Short) within a user-defined lookback period.
C. End-of-Day (EOD) Exit
Any open position is forced closed at the market price if it is still open when the user-defined closing time (default: 16:00 HHMM) is reached. This prevents carrying intraday risk overnight.
4. Visualization
The strategy includes comprehensive visual cues for analysis:
ORB Drawing: Displays the Wick High/Low and the shaded Body Range.
Breakout Signals: Highlights the specific bar where the validated entry signal occurs.
Closed Trades: Draws persistent lines for the Entry and Exit prices of the last few closed trades.
Live Open Trades: Draws persistent lines for the current Entry Price, active Take Profit Level, and active Stop Loss Level for any open position.
DR/IDR Break .5 TPDR/IDR Extension Breakout with Custom Stop
This strategy is a systematic, counter-trend, and momentum-based system designed for intraday trading. It operates on the principle of an Opening Range Breakout (ORB), utilizing the initial market consolidation to project high-probability targets, while offering multiple methods for managing risk.
1. Market Identification (The Opening Range)
The strategy begins by defining the market's initial boundaries and volatility:
Session Window: The strategy calculates the Opening Range (OR) over a user-defined time period (default: 9:30 AM to 10:30 AM New York Time).
ORB Levels: Two key price levels are established and locked once the time window closes:
Wick High/Low: The absolute highest and lowest prices of the session. These serve as the entry trigger lines.
Body High/Low (Shaded Range): The highest and lowest open/close prices of the session. The height of this range is used to calculate the Take Profit and Stop Loss levels.
2. Entry Rule (The Breakout)
The strategy is passive until the range is violated, looking for a strong move out of the consolidation area.
Trigger Condition: A trade is signaled when a candle closes either:
Above the Wick High (for a Long entry).
Below the Wick Low (for a Short entry).
Execution: The entry is a Market Order executed on the candle that meets the trigger condition, subject to a user-defined Entry Delay (default 0 bars, meaning the entry is taken immediately upon the breakout candle's close).
Direction Control: The user can select to trade Long Only, Short Only, or Both.
3. Exit and Risk Management
All trades are placed with simultaneous Take Profit and Stop Loss orders (a bracket order) once the entry is filled.
A. Take Profit (TP)
The Take Profit is set at the 0.5 Extension of the Shaded Range (Body Range).
Calculation: The distance from the Body High/Low to the TP level is exactly 50% of the total height of the Shaded Range.
B. Stop Loss (SL)
The Stop Loss is dynamically calculated based on a user-selected method for risk control:
Range 0.5 (Body Range): The Stop Loss is placed an equal distance (0.5 times the Body Range height) outside the opposite side of the Body Range.
Example (Long): If entry is above the Wick High, the SL is set 0.5 times the Body Range height below the Body Low.
ATR Multiple: The Stop Loss distance is determined by the asset's recent volatility.
Calculation: The distance is calculated as a user-defined Multiplier (default 2.0) times the Average True Range (ATR).
Recent Swing Low/High: The Stop Loss is placed based on a structural level defined by recent price action.
Long Entry: SL is placed at the Lowest Swing Low within a user-defined lookback period.
Short Entry: SL is placed at the Highest Swing High within a user-defined lookback period.
Summary of Workflow
The market sets the Wick and Body boundaries (e.g., 9:30–10:30 AM).
Price breaks and closes beyond a Wick boundary, triggering a signal.
The trade enters after the specified delay.
A bracket order is placed: TP is fixed at the 0.5 Extension, and SL is set based on the user's chosen risk method.
The trade is closed upon reaching either the TP or the SL level.
VWolf – Slope GuardOVERVIEW
Slope Guard combines a momentum core (WaveTrend + RSI/MFI + QQE family) with a directional bias (EMA/DEMA and a DEMA-slope filter). Trade direction can be constrained by the Supertrend regime (Normal or Pivot). Risk is managed with ATR-based stops and targets, optional Supertrend-anchored dynamic levels, and a two-stage take-profit that can shift the stop to break-even after the first partial. The strategy supports explicit Backtest and Forward-test windows and adapts certain thresholds by market type (Forex vs. Stocks).
RECOMMENDED USE
Markets: Forex and equities; use Market Type to properly scale the DEMA-slope gate.
Timeframes: M15–H4 for intraday-swing and H1–D1 for slower swing; avoid ultra-low TFs without tightening ADX/QQE.
Assets: Instruments with persistent trends and orderly pullbacks; avoid flat ranges without sufficient ADX.
Strengths
Multi-layer confluence: trend bias + momentum + regime + strength.
Flexible risk engine: ATR vs. Supertrend anchoring, staged exits, and automatic break-even.
Clean research workflow: separated Backtest and Forward-test windows.
Precautions
Structural latency: Pivot-based constructs confirm with delay; validate with Forward-test.
Filter interaction: QQE Strict + ADX + WT zero-line can become overly selective; calibrate by asset/TF.
Overfitting risk: Prefer simple, portable parameter sets and validate across symbols/TFs.
CONCLUSION
Slope Guard is a “trend + momentum” framework with risk control at its core. By enforcing a baseline bias, validating momentum with the Vuman composite, and offering ATR or Supertrend-anchored exits—plus staged profits and break-even shifts—it seeks to capture the core of directional swings while compressing drawdowns. Keep testing windows isolated, start with moderate filters (QQE Normal, ADX ~20–25), and only add stricter gates (WT zero-line, DEMA slope) once they demonstrably improve stability without starving signals.
FOR MORE INFORMATION VISIT vwolftrading.com
VWolf - Shadow PulseOVERVIEW
The Trend Momentum Breakout Strategy is a rule-based trading system designed to identify high-probability entries in trending markets using a combination of trend confirmation, momentum filtering, and precise trigger conditions. The strategy is suitable for intermediate to advanced traders who prefer mechanical systems with clear entry/exit logic and configurable risk management options.
At its core, this strategy seeks to enter pullbacks within strong trends, capitalizing on momentum continuation after brief pauses in price movement. By integrating multiple moving averages (MAs) for trend validation, ADX (Average Directional Index) as a strength filter, and Stochastic RSI as an entry trigger, the strategy filters out weak trends and avoids overextended market conditions. Exit logic is based on a customizable fixed stop-loss (SL) and take-profit (TP) framework, with optional dynamic risk-reduction mechanisms powered by the Supertrend indicator.
This strategy is designed to perform best in clearly trending markets and is especially effective in avoiding false breakouts or choppy sideways action thanks to its ADX-based filtering. It can be deployed across a variety of asset classes, including forex, stocks, cryptocurrencies, and indices, and is optimized for intra-day to swing trading timeframes.
RECOMMENDED USE
This strategy is designed to be flexible across multiple markets, but it performs best under certain conditions:
Best Suited For:
Trending markets with clear directional momentum.
High-volume instruments that avoid erratic price action.
Assets with intraday volatility and swing patterns.
Recommended Asset Classes:
Forex pairs (e.g., EUR/USD, GBP/JPY)
Cryptocurrencies (e.g., BTC/USD, ETH/USDT)
Major indices (e.g., S&P 500, NASDAQ, DAX)
Large-cap stocks (especially those with consistent liquidity)
Suggested Timeframes:
15-minute to 1-hour charts for intraday setups.
4-hour and daily charts for swing trading.
Lower timeframes (1–5 min) may generate too much noise unless fine-tuned.
Market Conditions to Avoid:
Ranging or sideways markets with low ADX values.
Assets with irregular price structures or low liquidity.
News-heavy periods with unpredictable price spikes.
CONCLUSION
This strategy stands out for its robust and modular approach to trend-following trading, offering a high level of customization while maintaining clear logic and structural discipline in entries and exits. By combining three distinct layers of confirmation—trend identification (via configurable moving averages), trend strength validation (via the DMI filter), and timing (via the Stochastic RSI trigger)—it aims to reduce noise and increase the probability of entering trades with directional bias and momentum on its side.
Its flexibility is one of its strongest points: users can tailor the strategy to fit various trading styles and market conditions. Whether the trader prefers conservative setups using only the slowest moving average, or more aggressive entries requiring full alignment of fast, medium, and slow MAs, the system adjusts accordingly. Likewise, exit management offers both static and dynamic methods—such as ATR-based stop losses, Supertrend-based adaptive exits, and partial profit-taking mechanisms—allowing risk to be managed with precision.
This makes the strategy particularly suitable for trend-driven markets, such as major currency pairs, indices, or volatile stocks that demonstrate clear directional moves. It is not ideal for sideways or choppy markets, where multiple filters may reduce the number of trades or result in whipsaws.
From a practical standpoint, the strategy also incorporates real-world trading mechanics, like time-based filters and account risk control, which elevate it from a purely theoretical model to a more execution-ready system.
In summary, this is a well-structured, modular trend strategy ideal for intermediate to advanced traders who want to maintain control over their system parameters while still benefiting from layered signal confirmation. With proper calibration, it has the potential to become a reliable tool in any trader’s arsenal—particularly in markets where trends emerge clearly and sustainably.
FOR MORE INFORMATION VISIT vwolftrading.com
VWolf – Momentum TwinOVERVIEW
VWolf – Momentum Twin is designed to identify high-probability momentum reversals emerging from overbought or oversold market conditions. It employs a double confirmation from the Stochastic RSI oscillator, optionally filtered by trend and directional movement conditions, before executing trades.
The strategy emphasizes consistent risk management by scaling stop-loss and take-profit targets according to market volatility (ATR), and it provides advanced position management features such as partial profit-taking and automated stop-loss adjustments.
RECOMMENDED USE
Markets: Major FX pairs, index futures, large-cap stocks, and top-volume cryptocurrencies.
Timeframes: Best suited for M15–H4; adaptable for swing trading on daily charts.
Trader Profile: Traders who value structured, volatility-adjusted momentum reversal setups.
Strengths:
Double confirmation filters out many false signals.
Multiple filter options allow strategic flexibility.
ATR scaling maintains consistent risk across assets.
Trade management tools improve adaptability in dynamic markets.
Precautions:
May produce fewer trades in strong one-direction trends.
Over-filtering can reduce trade frequency.
Requires validation across instruments and timeframes before deployment.
CONCLUSION
The VWolf – Momentum Twin offers a disciplined framework for capturing momentum reversals while preserving flexibility through its customizable filters and risk controls. Its double confirmation logic filters out a significant portion of false reversals, while ATR-based scaling ensures consistency across varying market conditions. The optional trade management features, including partial profit-taking and automatic stop adjustments, allow the strategy to adapt to both trending and ranging environments. This makes it a versatile tool for traders who value structured entries, robust risk control, and adaptable management in a variety of markets and timeframes.
🔥 Ribas Waves Strategy PRO++📝 Strategy Description: Ribas Waves Strategy PRO++
The Ribas Waves Strategy PRO++ is a powerful trading system based on the identification of Wolfe Waves patterns, designed to capture high-probability reversal points with precise entries and smart risk management.
This advanced version is fully customizable, allowing traders to adapt entry confirmations, trend filters, and risk/reward ratios to their preferred trading style and market conditions.
⚙️ Key Features:
✅ Automatic detection of both Bullish and Bearish Wolfe Wave patterns
✅ Entry confirmation options:
No confirmation (pure Wolfe pattern)
Directional candle (bullish or bearish close)
Engulfing candle (bullish/bearish)
Inside bar + breakout
✅ Optional EMA trend filter
✅ Configurable take profit via:
Risk multiple (R-multiple: e.g., 3x risk)
Percentage of risk (e.g., 300% of stop-loss distance)
✅ Toggle to show or hide wave labels and structure on chart
✅ Entry cooldown to prevent overlapping trades
✅ Visual display of current strategy position: 📈 Long / 📉 Short / ⛔️ Flat
📌 How to Use:
Set pivot sensitivity based on the asset's volatility (default: 7)
Choose your preferred entry confirmation method
Enable or disable the EMA trend filter
Adjust your take profit logic (R-multiple or % of risk)
Run a backtest or use live alerts for execution
💡 Author Recommendations:
Best suited for volatile markets such as crypto, indices, and forex.
For more trades, disable confirmation filters or use “Directional Candle” mode.
Use higher timeframes or combine with volume/context filters for increased accuracy.
Regularly backtest different settings to optimize your edge on specific assets.
Options Scalper v2 - SPY/QQQHere's a comprehensive description of the Options Scalper v2 strategy:
---
## Options Scalper v2 - SPY/QQQ
### Overview
A multi-indicator confluence-based scalping strategy designed for trading SPY and QQQ options on short timeframes (1-5 minute charts). The strategy uses a scoring system to generate high-probability CALL and PUT signals by requiring alignment across multiple technical indicators before triggering entries.
---
### Core Logic
The strategy operates on a **scoring system (0-9 points)** where both bullish (CALL) and bearish (PUT) conditions are evaluated independently. A signal only fires when:
1. A recent EMA crossover occurred (within the last 3 bars)
2. The direction's score meets the minimum threshold (default: 4 points)
3. The signal's score is higher than the opposite direction
4. Enough bars have passed since the last signal (cooldown period)
5. Price action occurs during valid trading sessions
---
### Indicators Used
| Indicator | Purpose | CALL Condition | PUT Condition |
|-----------|---------|----------------|---------------|
| **9/21 EMA Cross** | Primary trigger | Fast EMA crosses above slow | Fast EMA crosses below slow |
| **200 EMA** | Trend filter | Price above 200 EMA | Price below 200 EMA |
| **RSI (14)** | Momentum filter | RSI between 45-65 | RSI between 35-55 |
| **VWAP** | Institutional level | Price above VWAP | Price below VWAP |
| **MACD (12,26,9)** | Momentum confirmation | MACD line > Signal line | MACD line < Signal line |
| **Stochastic (14,3)** | Overbought/Oversold | Oversold or K > D | Overbought or K < D |
| **Volume** | Participation confirmation | Spike on green candle | Spike on red candle |
| **Price Structure** | Breakout detection | Higher high formed | Lower low formed |
---
### Scoring Breakdown
**CALL Score (Max 9 points):**
- Recent EMA cross up: +2 pts
- EMA alignment (fast > slow): +1 pt
- RSI in bullish range: +1 pt
- Above VWAP: +1 pt
- MACD bullish: +1 pt
- Volume spike on green candle: +1 pt
- Stochastic setup: +1 pt
- Above 200 EMA: +1 pt
- Breaking higher high: +1 pt
**PUT Score (Max 9 points):**
- Recent EMA cross down: +2 pts
- EMA alignment (fast < slow): +1 pt
- RSI in bearish range: +1 pt
- Below VWAP: +1 pt
- MACD bearish: +1 pt
- Volume spike on red candle: +1 pt
- Stochastic setup: +1 pt
- Below 200 EMA: +1 pt
- Breaking lower low: +1 pt
---
### Risk Management
The strategy uses **ATR-based dynamic stops and targets**:
| Parameter | Default | Description |
|-----------|---------|-------------|
| Stop Loss | 1.5x ATR | Distance below entry for longs, above for shorts |
| Take Profit | 2.0x ATR | Creates a 1:1.33 risk-reward ratio |
Positions are also closed on:
- Opposite direction signal (flip trade)
- Take profit or stop loss hit
---
### Session Filtering
Trades are restricted to high-liquidity periods by default:
- **Morning Session:** 9:30 AM - 11:00 AM EST
- **Afternoon Session:** 2:30 PM - 3:55 PM EST
This avoids choppy midday price action and captures the highest volume periods.
---
### Input Parameters
| Parameter | Default | Description |
|-----------|---------|-------------|
| Fast EMA | 9 | Fast moving average period |
| Slow EMA | 21 | Slow moving average period |
| Trend EMA | 200 | Long-term trend filter |
| RSI Length | 14 | RSI calculation period |
| RSI Overbought | 65 | Upper RSI threshold |
| RSI Oversold | 35 | Lower RSI threshold |
| Volume Multiplier | 1.2x | Volume spike detection threshold |
| Min Signal Strength | 4 | Minimum score required to trigger |
| Crossover Lookback | 3 | Bars to consider crossover "recent" |
| Min Bars Between Signals | 5 | Cooldown period between signals |
---
### Visual Elements
**Chart Plots:**
- Green line: 9 EMA (fast)
- Red line: 21 EMA (slow)
- Gray line: 200 EMA (trend)
- Purple dots: VWAP
**Signal Markers:**
- Green triangle up + "CALL" label: Buy call signal
- Red triangle down + "PUT" label: Buy put signal
- Small circles: EMA crossover reference points
**Info Table (Top Right):**
- Real-time CALL and PUT scores
- RSI, MACD, Stochastic values
- VWAP and 200 EMA position
- Recent crossover status
- Current signal state
---
### Alerts
| Alert Name | Trigger |
|------------|---------|
| CALL Entry | Standard call signal fires |
| PUT Entry | Standard put signal fires |
| Strong CALL | Call signal with score ≥ 6 |
| Strong PUT | Put signal with score ≥ 6 |
---
### Recommended Usage
| Setting | 0DTE Scalping | Intraday Swings |
|---------|---------------|-----------------|
| Timeframe | 1-2 min | 5 min |
| Min Signal Strength | 5-6 | 4 |
| ATR Stop Mult | 1.0 | 1.5 |
| ATR TP Mult | 1.5 | 2.0 |
| Option Delta | 0.40-0.50 | 0.30-0.40 |
---
### Key Improvements Over v1
1. **Requires actual crossover** - Eliminates false signals from simple trend continuation
2. **Balanced scoring** - Both directions evaluated equally, highest score wins
3. **Signal cooldown** - Prevents overtrading with minimum bar spacing
4. **Multi-indicator confluence** - 8 factors must align for signal generation
5. **Volume-candle alignment** - Volume spikes only count when matching candle direction
---
### Disclaimer
This strategy is for educational purposes. Backtest thoroughly before live trading. Options trading involves significant risk of loss. Past performance does not guarantee future results.
XRP Non-Stop Strategy (TP 25% / SL 15%)This strategy performs continuous automated trading exclusively on XRP. It opens long positions during favorable trend conditions, using a fixed Take Profit target of 25% above the entry price and a fixed Stop Loss of 15% below the entry. Once a trade is closed (either TP or SL), the strategy automatically re-enters on the next valid signal, enabling uninterrupted trading.
The script includes:
Dynamic Take Profit & Stop Loss lines
Optional EMA trend filter
Visual BUY and EXIT markers
TradingView alerts for automation or notifications
This strategy is built for traders who want a simple, price-action-driven system without fixed price levels, relying only on percentage-based movement from each entry.
Long Only EMA Strategy (9/20 with 200 EMA Filter)Details:
This strategy is built around a very simple idea: follow the primary trend and enter only when momentum supports it.
It uses three EMAs on a standard candlestick chart:
1. 9‑period EMA – short‑term momentum
2. 20‑period EMA – medium‑term structure
3. 200‑period EMA – long‑term trend filter
The strategy is ** long‑only ** and is mainly designed for swing trading and positional trading.
It avoids counter‑trend trades by taking entries only when price is trading ** above the 200 EMA **, which is commonly used as a long‑term trend reference.
The rules are deliberately kept simple so that they are easy to understand, modify, and test on different markets and timeframes.
---
Key Features
1. **Trend‑Filtered Entries**
- Fresh long positions are considered only when:
- The 9 EMA crosses above the 20 EMA
- The closing price is **above** the 200 EMA
- This attempts to combine short‑term momentum with a higher‑timeframe trend filter.
2. **Clean Exit Logic**
- The long position is exited when the closing price crosses **below** the 20 EMA.
- This creates an objective, rule‑based way to trail the trade as long as the medium‑term structure remains intact.
3. **Long‑Only, No Short Selling**
- The script intentionally ignores short setups.
- This makes it suitable for markets or accounts where short selling is restricted, or for traders who prefer to participate only on the long side of the market.
4. **Simple Visuals**
- All three EMAs are plotted directly on the chart:
- 9 EMA (fast)
- 20 EMA (medium)
- 200 EMA (trend)
- Trade entries and exits are handled by TradingView’s strategy engine, so users can see results in the Strategy Tester as well as directly on the chart.
5. **Backtest‑Friendly Structure**
- Uses TradingView’s built‑in `strategy()` framework.
- Can be applied to different symbols, timeframes, and markets (equities, indices, crypto, etc.).
- Works on standard candlestick charts, which are supported by TradingView’s backtesting engine.
6. **Configurable in Code**
- The EMA periods are defined in the code and can be easily adjusted.
- Users can tailor the parameters to fit their own style (for example, faster EMAs for intraday trading, slower EMAs for positional trades).
---
How to Use
1. **Add the Strategy to Your Chart**
1. Open any symbol and select a **standard candlestick chart**.
2. Apply the strategy from your “My Scripts” section.
3. Make sure it is enabled so that the trades and results appear.
2. **Select Timeframe**
- The logic can be tested on various timeframes:
- Higher timeframes (1H, 4H, 1D) for swing and positional setups.
- Lower timeframes (5m, 15m) for more active trading, if desired.
- Users should experiment and see where the strategy behaves more consistently for their chosen market.
3. **Read the Signals**
- **Entry:**
- A long trade is opened when the 9 EMA crosses above the 20 EMA while the closing price is above the 200 EMA.
- **Exit:**
- The open long position is closed when the closing price crosses below the 20 EMA.
- All orders are generated automatically once the strategy is attached to the chart.
4. **Use the Strategy Tester**
- Go to the **Strategy Tester** tab in TradingView.
- Check:
- Net profit / drawdown
- Win rate and average trade
- List of trades and the equity curve
- Change the date range and timeframe to see how stable the results are over different periods.
5. **Adjust Parameters if Needed**
- Advanced users can open the code and experiment with:
- EMA lengths (for example 8/21 with 200, or 10/30 with 200)
- Risk sizing and capital settings within the `strategy()` call
- Any changes should be thoroughly re‑tested before considering real‑world application.
---
Practical Applications
1. **Swing Trading on Daily Charts**
- Can be applied to stocks, indices, or ETFs on the daily timeframe.
- The 200 EMA acts as a trend filter to stay aligned with the broad direction, while the 9/20 crossover helps catch medium‑term swings inside that trend.
2. **Positional Trades on Higher Timeframes**
- On 4H or 1D charts, this approach can help in holding trades for several days to weeks.
- The exit rule based on the 20 EMA crossing helps avoid emotional decisions and provides a rules‑based way to trail the trend.
3. **Trend‑Following Filter**
- Even if used purely as a filter, the 200 EMA condition can help traders:
- Avoid taking long trades when the market is in a clear downtrend.
- Focus only on instruments that are trading above their long‑term average.
4. **Educational Use**
- The script is intentionally kept straightforward so that newer users can:
- Learn how a moving average crossover strategy works.
- See how to combine a short‑term signal with a long‑term filter.
- Understand how TradingView’s strategy engine handles entries and exits.
5. **Basis for Further Development**
- This can serve as a starting point for more advanced systems.
- Traders can extend it by adding:
- Additional filters (RSI, volume, volatility filters, time‑of‑day filters, etc.)
- Risk management rules (fixed stop loss, take profit, trailing stops).
- The current version is kept minimal on purpose, so modifications are easy to implement and test.
---
Important Notes & Disclaimer
1. This strategy is provided **for testing, research, and educational purposes only**.
2. It is ** not ** a recommendation to buy or sell any financial instrument.
3. Past performance on historical data does not guarantee similar results in live markets.
4. Markets are risky and trading can lead to financial loss; users should always do their own research, manage risk appropriately, and consult a qualified financial professional if needed.
5. Before using any strategy with real capital, it is strongly advised to:
- Forward test it on a demo / paper trading account.
- Check how it behaves during different market phases (trending, sideways, high‑volatility conditions).
You are free to modify the parameters and logic to better align it with your own trading style and risk tolerance.
Triple Screen Scalper [Pro] + Dynamic Risk Engine + Smart DCA🚀 Strategy Concept
This algorithm utilizes a Triple Screen methodology to filter market noise and align trades with the path of least resistance. Instead of relying on a single timeframe, it analyzes market structure across three distinct "horizons" to ensure high-probability execution:
The Tide (Long-Term): Analyzes the dominant directional flow and market bias on higher timeframes.
The Wave (Medium-Term): Measures the strength of the current momentum and pauses trading during weak or "choppy" market phases.
The Ripple (Short-Term): Pinpoints precise entry zones by detecting over-extended price action and mean-reversion opportunities within the larger trend.
The system is fortified with a Smart DCA (Dollar Cost Averaging) Engine that adapts to volatility. It does not blindly add to positions; it calculates "Risk Room" and "Trend Stability" before every additional entry, ensuring capital is deployed efficiently rather than recklessly.
⚙️ Configuration Guide (Variable Explanations)
💰 Position & Leverage
Trade Direction: Choose between Long, Short, or Auto. In "Auto," the system trades both directions based on the dominant trend.
Target Entry Leverage (x): The desired leverage for your initial entry.
Base Order Size (% of Equity): How much of your account balance is allocated to the very first trade of a sequence.
DCA Size Multiplier: Controls how much larger each subsequent order is compared to the previous one. A value of 1.0 means flat sizing; values above 1.0 increase the size of recovery orders.
KILL SWITCH: Max Effective Lev: A safety ceiling. If your total position's effective leverage exceeds this value, the strategy will force-close the position to prevent liquidation.
🚀 Profit Settings (Dynamic Exits)
Use Dynamic Profit?: If enabled, the take-profit target acts like a breathing lung—expanding during high volatility (to catch bigger moves) and contracting during quiet periods.
Gain Volatility Length: The lookback period used to measure recent market volatility.
Gain Multiplier: Scales the profit target. Higher numbers require a larger price move to hit profit; lower numbers take profit sooner.
Minimum Profit Floor %: A hard limit ensuring the target never drops below this percentage, even in extremely low-volatility markets.
📉 Trend & Momentum Filters
Trend Strength Threshold: Defines the minimum "velocity" required to trade. This filters out flat, ranging markets where trends are not established.
Momentum Sensitivity (K/D/Smooth): These variables tune the sensitivity of the entry trigger.
Lower numbers = Faster entries (more trades, potentially more noise).
Higher numbers = Slower, more confirmed entries.
Overbought / Oversold Levels: The specific zones (0-100) where price is considered statistically over-extended, triggering a reversal signal.
🛡️ Risk & DCA Settings
Enable Hard Stop Loss: A traditional safety stop based on a fixed percentage.
Max DCA Orders: The maximum number of times the strategy is allowed to "average down" on a position.
Require Trend for DCA?: If TRUE, the strategy will only add to a losing position if the broader market trend is still valid. If the trend breaks, it stops buying.
DCA Volatility Length/Multiplier: Controls the spacing between buy orders.
High Multiplier = Orders are spread far apart (safer for crashes).
Low Multiplier = Orders are closer together (faster recovery in normal dips).
Risk Scaling: A unique feature that pushes DCA orders further away as your leverage increases, protecting you from adding too much risk too quickly.
Base DCA %: The minimum distance required between orders, regardless of volatility.
⏱️ Timers & Cooldowns
Fast / Slow Cooldown: The minimum time (in seconds) the strategy must wait between realizing a profit and opening a new trade. This prevents "revenge trading" or entering twice on the same candle.
Position Cooldown: A specific timer applied after a large position is closed to let the market settle.
🎯 Daily S/R Targets
Enable Daily S/R: If enabled, the strategy will attempt to "snipe" exits at calculated daily support and resistance pivots.
Proximity Threshold: How close the price must get to a daily level to trigger an early exit.
⚠️ Risk Disclaimer
This script is an automated tool for analysis and execution assistance. It employs averaging techniques (DCA) which involve calculated risk. While the "Kill Switch" and "Risk Scaling" features are designed to mitigate exposure, users should thoroughly backtest and understand the "Multiplier" settings before deploying real capital. Past market structure is not a guarantee of future performance.
Session Opening Range Breakout (ORBO)This strategy automates a classic Opening Range Breakout (ORBO) approach: it builds a price range for the first minutes after the market opens, then looks for strong breakouts above or below that range to catch early directional moves.
Concept
The idea behind ORBO is simple:
The first minutes after the session open are often highly informative.
Price forms an “opening range” that acts as a mini support/resistance zone.
A clean breakout beyond this zone can lead to high-momentum moves.
This script turns that logic into a fully backtestable strategy in TradingView.
How the strategy works
Opening Range Session
Default session: 09:30–09:50 (exchange time)
During this window, the script tracks:
orHigh → highest high within the session
orLow → lowest low within the session
This forms your Opening Range for the day.
Breakout Logic (after the window ends)
Once the defined session ends:
Long Entry:
If the close crosses above the Opening Range High (orHigh),
→ strategy.entry("OR Long", strategy.long) is triggered.
Short Entry:
If the close crosses below the Opening Range Low (orLow),
→ strategy.entry("OR Short", strategy.short) is triggered.
Only one opening range per day is considered, which keeps the logic clean and easy to interpret.
Daily Reset
At the start of a new trading day, the script resets:
orHigh := na
orLow := na
A fresh Opening Range is then built using the next session’s 09:30–09:50 candles.
This ensures entries are always based on today’s structure, not yesterday’s.
Visuals & Inputs
Inputs:
Opening range session → default: "0930-0950"
Show OR levels → toggle visibility of OR High / Low lines
Fill range body → optional shaded zone between OR High and OR Low
Chart visuals:
A green line marks the Opening Range High.
A red line marks the Opening Range Low.
Optional yellow fill highlights the entire OR zone.
Background shading during the session shows when the range is currently being built.
These visuals make it easy to see:
Where the OR sits relative to current price
How clean / noisy the breakout was
How often price respects or rejects the opening zone
Backtesting & Optimization
Because this is written as a strategy():
You can use TradingView’s Strategy Tester to view:
Win rate
Net profit
Drawdown
Profit factor
Equity curve
Ideas to experiment with:
Change the session window (e.g., 09:15–09:45, 10:00–10:30)
Apply to different:
Markets: indices, FX, crypto, stocks
Timeframes: 1m / 5m / 15m
Add your own:
Stop Loss & Take Profit levels
Time filters (only trade certain days / times)
Volatility filters (e.g., ATR, range size thresholds)
Higher-timeframe trend filter (e.g., only take longs above 200 EMA)






















