Dskyz (DAFE) GENESIS Dskyz (DAFE) GENESIS: Adaptive Quant, Real Regime Power
Let’s be honest: Most published strategies on TradingView look nearly identical—copy-paste “open-source quant,” generic “adaptive” buzzwords, the same shallow explanations. I’ve even fallen into this trap with my own previously posted strategies. Not this time.
What Makes This Unique
GENESIS is not a black-box mashup or a pre-built template. It’s the culmination of DAFE’s own adaptive, multi-factor, regime-aware quant engine—built to outperform, survive, and visualize live edge in anything from NQ/MNQ to stocks and crypto.
True multi-factor core: Volume/price imbalances, trend shifts, volatility compression/expansion, and RSI all interlock for signal creation.
Adaptive regime logic: Trades only in healthy, actionable conditions—no “one-size-fits-all” signals.
Momentum normalization: Uses rolling, percentile-based fast/slow EMA differentials, ALWAYS normalized, ALWAYS relevant—no “is it working?” ambiguity.
Position sizing that adapts: Not fixed-lot, not naive—not a loophole for revenge trading.
No hidden DCA or pyramiding—what you see is what you trade.
Dashboard and visual system: Directly connected to internal logic. If it’s shown, it’s used—and nothing cosmetic is presented on your chart that isn’t quantifiable.
📊 Inputs and What They Mean (Read Carefully)
Maximum Raw Score: How many distinct factors can contribute to regime/trade confidence (default 4). If you extend the quant logic, increase this.
RSI Length / Min RSI for Shorts / Max RSI for Longs: Fine-tunes how “overbought/oversold” matters; increase the length for smoother swings, tighten floors/ceilings for more extreme signals.
⚡ Regime & Momentum Gates
Min Normed Momentum/Score (Conf): Raise to demand only the strongest trends—your filter to avoid algorithmic chop.
🕒 Volatility & Session
ATR Lookback, ATR Low/High Percentile: These control your system’s awareness of when the market is dead or ultra-volatile. All sizing and filter logic adapts in real time.
Trading Session (hours): Easy filter for when entries are allowed; default is regular trading hours—no surprise overnight fills.
📊 Sizing & Risk
Max Dollar Risk / Base-Max Contracts: All sizing is adaptive, based on live regime and volatility state—never static or “just 1 contract.” Control your max exposures and real $ risk. ATR will effect losses in high volatility times.
🔄 Exits & Scaling
Stop/Trail/Scale multipliers: You choose how dynamic/flexible risk controls and profit-taking need to be. ATR-based, so everything auto-adjusts to the current market mode.
Visuals That Actually Matter
Dashboard (Top Right): Shows only live, relevant stats: scoring, status, position size, win %, win streak, total wins—all from actual trade engine state (not “simulated”).
Watermark (Bottom Right): Momentum bar visual is always-on, regime-aware, reflecting live regime confidence and momentum normalization. If the bar is empty, you’re truly in no-momentum. If it glows lime, you’re riding the strongest possible edge.
*No cosmetics, no hidden code distractions.
Backtest Settings
Initial capital: $10,000
Commission: Conservative, realistic roundtrip cost:
15–20 per contract (including slippage per side) I set this to $25
Slippage: 3 ticks per trade
Symbol: CME_MINI:NQ1!
Timeframe: 1 min (but works on all timeframes)
Order size: Adaptive, 1–3 contracts
No pyramiding, no hidden DCA
Why these settings?
These settings are intentionally strict and realistic, reflecting the true costs and risks of live trading. The 10,000 account size is accessible for most retail traders. 25/contract including 3 ticks of slippage are on the high side for NQ, ensuring the strategy is not curve-fit to perfect fills. If it works here, it will work in real conditions.
Why It Wins
While others put out “AI-powered” strategies with little logic or soul, GENESIS is ruthlessly practical. It is built around what keeps traders alive:
- Context-aware signals, not just patterns
- Tight, transparent risk
- Inputs that adapt, not confuse
- Visuals that clarify, not distract
- Code that runs clean, efficient, and with minimal overfitting risk (try it on QQQ, AMD, SOL, etc. out of the box)
Disclaimer (for TradingView compliance):
Trading is risky. Futures, stocks, and crypto can result in significant losses. Do not trade with funds you cannot afford to lose. This is for educational and informational purposes only. Use in simulation/backtest mode before live trading. No past performance is indicative of future results. Always understand your risk and ownership of your trades.
This will not be my last—my goal is to keep raising the bar until DAFE is a brand or I’m forced to take this private.
Use with discipline, use with clarity, and always trade smarter.
— Dskyz , powered by DAFE Trading Systems.
Médias Móveis
買 賣 當沖此指標是我個人自行開發出來的，雖然沒有達到精準進出，但能做安全的快速進出，此指標的缺點是盤整期間的計算會些微虧損，我會持續加強內容來讓使用的人得到最大的獲利。
我叫Wilson-Wang，請多多指教~~
This indicator was personally developed by me. While it may not provide perfectly precise entry and exit points, it enables safe and quick trades. One drawback is that it can result in slight losses during sideways markets. I will continue to improve it to help users achieve maximum profit.
My name is Wilson Wang—nice to meet you, and I look forward to your support!
www.instagram.com
MACD 绿柱买入 红柱卖出Histogram Strategy逻辑解释：
1.买入条件：
当 MACD 的 Histogram 从负转正（由红柱变为绿柱）时，触发 strategy.entry('MACD_Buy', strategy.long)，执行买入操作。
2.卖出条件：
当 MACD 的 Histogram 从正转负（由绿柱变为红柱）时，触发 strategy.close('MACD_Buy')，执行卖出操作。
3.绘图保持不变：
绿柱和红柱都正常显示，MACD 和信号线也正常绘制。
本策略仅供学习与参考，不构成投资建议
您不应该使用此策略进行真实交易，任何情况下使用此策略造成的损失本人概不负责
Logic Explanation:
Buy Condition:
When the MACD Histogram turns from negative to positive (from red bars to green bars), it triggers strategy.entry('MACD_Buy', strategy.long), executing a buy operation.
Sell Condition:
When the MACD Histogram turns from positive to negative (from green bars to red bars), it triggers strategy.close('MACD_Buy'), executing a sell operation.
Plotting remains unchanged:
Green and red bars are displayed correctly, and both the MACD and signal lines are plotted as usual.
Disclaimer:
This strategy is for educational and reference purposes only.
You should not use this strategy for real trading, and I am not responsible for any losses incurred from using this strategy under any circumstances.
【SY】AI量化指标Description:
This is a trend-following quantitative trading strategy that combines Supertrend, multiple EMAs, and MACD indicators to identify optimal entry and exit points. It uses the 88-period SMA as a major trend filter and a 15-period EMA as a noise filter to reduce false signals. Entry signals are generated when price and trend indicators align for bullish or bearish momentum.
Stop-loss is dynamically set using Supertrend, and trailing stop-loss protects profits. MACD signal crosses provide additional take-profit alerts. The strategy supports configurable parameters for MACD cycles, trailing stops, and position sizing, allowing users to tailor risk and performance.
Suitable for swing trading on mid to long-term timeframes across various markets including crypto, stocks, and futures. Designed to reduce noise and capture medium-term trends effectively while managing risk within sustainable levels.
EMA Pullback Speed Strategy📌 **Overview**
The **EMA Pullback Speed Strategy** is a trend-following approach that combines **price momentum** and **Exponential Moving Averages (EMA)**.
It aims to identify high-probability entry points during brief pullbacks within ongoing uptrends or downtrends.
The strategy evaluates **speed of price movement**, **relative position to dynamic EMA**, and **candlestick patterns** to determine ideal timing for entries.
One of the key concepts is checking whether the price has **“not pulled back too much”**, helping focus only on situations where the trend is likely to continue.
⚠️ This strategy is designed for educational and research purposes only. It does not guarantee future profits.
🧭 **Purpose**
This strategy addresses the common issue of **"jumping in too late during trends and taking unnecessary losses."**
By waiting for a healthy pullback and confirming signs of **trend resumption**, traders can enter with greater confidence and reduce false entries.
🎯 **Strategy Objectives**
* Enter in the direction of the prevailing trend to increase win rate
* Filter out false signals using pullback depth, speed, and candlestick confirmations
* Predefine Take-Profit (TP) and Stop-Loss (SL) levels for safer, rule-based trading
✨ **Key Features**
* **Dynamic EMA**: Reacts faster when price moves quickly, slower when market is calm – adapting to current momentum
* **Pullback Filter**: Avoids trades when price pulls back too far (e.g., more than 5%), indicating a trend may be weakening
* **Speed Check**: Measures how strongly the price returns to the trend using candlestick body speed (open-to-close range in ticks)
📊 **Trading Rules**
**■ Long Entry Conditions:**
* Current price is above the dynamic EMA (indicating uptrend)
* Price has pulled back toward the EMA (a "buy the dip" situation)
* Pullback depth is within the threshold (not excessive)
* Candlesticks show consecutive bullish closes and break the previous high
* Price speed is strong (positive movement with momentum)
**■ Short Entry Conditions:**
* Current price is below the dynamic EMA (indicating downtrend)
* Price has pulled back up toward the EMA (a "sell the rally" setup)
* Pullback is within range (not too deep)
* Candlesticks show consecutive bearish closes and break the previous low
* Price speed is negative (downward momentum confirmed)
**■ Exit Conditions (TP/SL):**
* **Take-Profit (TP):** Fixed 1.5% target above/below entry price
* **Stop-Loss (SL):** Based on recent price volatility, calculated using ATR × 4
💰 **Risk Management Parameters**
* Symbol & Timeframe: BTCUSD on 1-hour chart (H1)
* Test Capital: \$3000 (simulated account)
* Commission: 0.02%
* Slippage: 2 ticks (minimal execution lag)
* Max risk per trade: 5% of account balance
* Backtest Period: Aug 30, 2023 – May 9, 2025
* Profit Factor (PF): 1.965 (Net profit ÷ Net loss, including spreads & fees)
⚙️ **Trading Parameters & Indicator Settings**
* Maximum EMA Length: 50
* Accelerator Multiplier: 3.0
* Pullback Threshold: 5.0%
* ATR Period: 14
* ATR Multiplier (SL distance): 4.0
* Fixed TP: 1.5%
* Short-term EMA: 21
* Long-term EMA: 50
* Long Speed Threshold: ≥ 1000.0 (ticks)
* Short Speed Threshold: ≤ -1000.0 (ticks)
⚠️Adjustments are based on BTCUSD.
⚠️Forex and other currency pairs require separate adjustments.
🔧 **Strategy Improvements & Uniqueness**
Unlike basic moving average crossovers or RSI triggers, this strategy emphasizes **"momentum-supported pullbacks"**.
By combining dynamic EMA, speed checks, and candlestick signals, it captures trades **as if surfing the wave of a trend.**
Its built-in filters help **avoid overextended pullbacks**, which often signal the trend is ending – making it more robust than traditional trend-following systems.
✅ **Summary**
The **EMA Pullback Speed Strategy** is easy to understand, rule-based, and highly reproducible – ideal for both beginners and intermediate traders.
Because it shows **clear visual entry/exit points** on the chart, it’s also a great tool for practicing discretionary trading decisions.
⚠️ Past performance is not a guarantee of future results.
Always respect your Stop-Loss levels and manage your position size according to your risk tolerance.
SMPivot Gaussian Trend Strategy [Js.K]This open-source strategy combines a Gaussian-weighted moving average with “Smart Money” swing-pivot breaks (BoS = Break-of-Structure) to capture trend continuations and early reversals. It is intended for educational and research purposes only and must not be interpreted as financial advice.
How the logic works
-------------------
1. Gaussian Moving Average (GMA)
• A custom Gaussian kernel (length = 30 by default) smooths price while preserving turning points.
• A second pass (“Smoothed GMA”) further filters noise; only its direction is used for bias.
2. Swing-Pivot detection
• High/Low pivots are found with a symmetric look-back/forward window (Pivot Length = 20).
• The most recent confirmed pivot creates a dynamic structure level (UpdatedHigh / UpdatedLow).
3. Entry rules
Long
• Price closes above the most recent pivot high **and** above Smoothed GMA.
Short
• Price closes below the most recent pivot low **and** below Smoothed GMA.
4. Exit rules
• Fixed stop-loss and take-profit in percent of current price (user-defined).
• Separate parameters and on/off switches for longs and shorts.
5. Visuals
• GMA (dots) and Smoothed GMA (line).
• Structure break lines plus “BoS PH/PL” labels at the midpoint between pivot and break.
Inputs
------
Gaussian
• Gaussian Length (default 30) – smoothing window.
• Gaussian Scatterplot – toggle GMA dots.
Smart-Money Pivot
• Pivot Length (default 20).
• Bull / Bear colors.
Risk settings
• Long / Short enable.
• Individual SL % and TP % (default 1 % SL, 30 % TP).
• Strategy uses percent-of-equity sizing; initial capital defaults to 10 000 USD.
Adjust these to reflect your own account size, realistic commission and slippage.
Best practice & compliance notes
--------------------------------
• Test on a data sample that yields ≥ 100 trades to obtain statistically relevant results.
• Keep risk per trade below 5–10 % of equity; the default values comply with this guideline.
• Explain any custom settings you publish that differ from the defaults.
• Do **not** remove the code header or licence notice (MPL-2.0).
• Include realistic commission and slippage in your back-test before publishing.
• The script does **not** repaint; orders are processed on bar close.
Usage
-----
1. Add the script to any symbol / timeframe; intraday and swing timeframes both work—adjust lengths accordingly.
2. Configure SL/TP and position size to match your personal risk management.
3. Run “List of trades” and the performance summary to evaluate expectancy; forward-test before live use.
Disclaimer
----------
Trading involves substantial risk. Past performance based on back-testing is not necessarily indicative of future results. The author is **not** responsible for any financial losses arising from the use of this script.
Lumen Signals Backtestlumen.trading
This strategy spots good trading opportunities by looking at both the big picture and small details. First, it checks if the market is heading up. Then it waits for three key signs to line up before buying. When it's time to sell, Lumen has two special triggers - one that catches early warning signs, and another that spots when momentum is fading. It's designed to catch solid moves while protecting your profits without needing constant attention.
Momentum v2The strategy is very simple, similar to DCA, but with more advanced filtering settings for opening a position and exiting it. The strategy has very few settings, but is very flexible. It can be used as a grid bot, as DCA, or as a strategy tied to a moving average.
BTC 3m Long Profit Strategy [TIAMATCRYPTO]# BITCOIN Long profit Strategy
This strategy combines multiple technical indicators to identify potential swing trading opportunities in trending markets. It uses a comprehensive approach by analyzing price action through different lenses.
## Strategy Overview
The Multi-Indicator Swing Strategy analyzes market trends through multiple technical indicators to generate entry and exit signals. When several indicators align in the same direction, a trade signal is generated.
## Indicators Used
- **EMA Crossover**: Fast EMA (20) and Slow EMA (80) to identify trend direction
- **RSI**: Confirms trend strength while avoiding overbought/oversold extremes (35-70 range)
- **Supertrend**: Provides dynamic support/resistance levels
- **ADX**: Ensures trades are taken only in strong trending markets (ADX > 27)
- **MACD**: Optional momentum indicator (disabled by default)
- **PSAR**: Optional trend reversal indicator (disabled by default)
- **Liquidity Delta**: Optional volume-based indicator (disabled by default)
## Entry Logic
Long entries occur when:
- Fast EMA is above Slow EMA (if enabled)
- RSI is between 35-70 (if enabled)
- Supertrend is bullish (if enabled)
- ADX indicates a strong trend (if enabled)
- Other optional indicators confirm bullish momentum
Short entries follow the opposite conditions.
## Default Parameters
- Initial capital: $10,000
- Position size: 100% of equity
- Backtesting period: January 1, 2024 to present
- No fixed take-profit or stop-loss (uses indicator reversals as exit signals)
## Risk Management
This strategy uses 100% of equity for position sizing. For real trading, consider reducing this to 5-10% of your account per trade to manage risk effectively. You may also want to implement stop-loss orders based on your risk tolerance.
## Best Usage
- Timeframes: H4, Daily, and Weekly charts
- Market types: Most effective in trending markets (verify with ADX)
- Instruments: Can be applied to forex, stocks, crypto, and commodities
## Customization
You can enable/disable specific indicators and adjust their parameters to match your trading style and risk tolerance. This flexibility allows the strategy to be adapted for different market conditions.
## DISCLAIMER
This script is for educational and informational purposes only. Past performance is not indicative of future results. Trading involves risk; never risk more than you can afford to lose. Always use proper risk management and consider implementing stop-losses.
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This description and the added code comments should help you comply with TradingView's publishing rules. It clearly explains the strategy, its default settings, and provides important risk management information.
Arena trend v2Arena Trend Strategy v2 is a multi-timeframe trend-following system that combines reliability with clear, intuitive visuals. It was designed for traders who want a strategy that is both effective and easy to understand—whether you’re scalping, day trading, or swing trading.
Overview
This strategy blends two RSI indicators (on separate timeframes), two dynamically weighted EMAs, a Supertrend filter, and an ATR-based visual cloud. Together, they provide an advanced trading environment with automatic SL/TP management and real-time trend cues on the chart.
How It Works
Two RSIs run in parallel: one on the current chart’s timeframe, and one on a higher timeframe you can select. These values are not shown on the chart but are actively used in the background to filter entries and avoid noise.
When all these conditions align, the trend line turns green on the chart – signaling a potential long entry. In bearish conditions, it turns red for a potential short. These color-coded signals can be customized or hidden completely.
SL and TP are handled automatically using your defined percentage values. Entry and exit arrows (blue, red, purple) appear directly on the chart.
Visual Elements
EMA Color Transitions
EMAs automatically change to green or red based on the trend direction. This offers instant visual feedback on market bias.
ATR-Based Dynamic Cloud
A layered “cloud” adapts based on volatility. Color gradients highlight market zones and directional movement. Soft border lines on top and bottom of the cloud reflect support and resistance without cluttering the chart.
Darker colors = strong trend (long or short)
Lighter colors = weak trend or sideways action
All cloud colors, transparencies, and layers are customizable.
Supertrend & ARTEMA
The classic Supertrend is enhanced with dynamic coloring based on direction and ATR movement. ARTEMA (Average Range Trend EMA) is a custom-built indicator using ATR logic to adapt EMA smoothing. It’s not visible on the chart, but crucial for the strategy’s responsiveness.
Filtering Logic
Volume Filter
Ensures trades only occur when a minimum volume threshold is met – reducing false signals during low liquidity.
Time-Based Filters
Lets you disable trading during specific time ranges (e.g., avoid high volatility or off-market hours).
Market Session Filters
Trade only during selected sessions – Asia, London, or New York.
Input Settings
SL / TP
Both are percentage-based and customizable per trade.
RSI Settings
RSI Source (e.g. close, hl2, etc.)
RSI1 Timeframe (e.g. chart timeframe)
RSI2 Timeframe (e.g. 4H, 1D)
Length individually adjustable for both
EMA Settings
EMA1 & EMA2 Length: Traditional periods, but their behavior is dynamically weighted
Weighting Factor: Controls responsiveness to ATR, ADX, and Volume
⚠️ The weighting factor significantly impacts performance – adjust carefully.
Cloud Display
Show/hide cloud, layers, centerline, and borders
Fully customizable colors and opacities
Trend Strength & Volatility
ADX measures trend strength (used internally for weighting, not visible)
Volume weighting helps ignore fake signals during low-activity candles
Volume Threshold
Set differently per asset – increasing the threshold gives stronger, more reliable entries
Low-volume candles will be marked with a red background
Session Filters
You can disable trading during the Asian session (or any time block)
Red background marks non-trading periods
Custom time-based blocks also available (e.g., skip New York open volatility)
Entry & Exit Logic
A trade is entered when the long/short conditions are met, and the direction is enabled (via “Only LONG?” or “Only SHORT?” toggles).
Positions are closed upon reaching SL or TP.
💡 Practical Use Cases
Scalping: Chart: 5min
RSI1: 5m, RSI2: 15m
Quick entries and fast TP (1–2%)
Day Trading: Chart: 15m or 1h
RSI2: 2H or 4H
SL: 2%, TP: 4% – emoji signals add confirmation
Swing Trading: Chart: 4H or 1D
RSI2: Weekly
Wider SL/TP, longer holds
⚠️ These are just examples – proper optimization is essential for each asset.
Behind the Scenes
This isn’t just a mash-up of indicators. Every part of the system is interconnected:
EMAs are dynamically weighted based on ATR, ADX, and Volume
The cloud + visual overlays help you spot strong vs weak signals instantly
The engine adapts to market speed – fast reactions in volatile moves, slower pace in sideways markets
Final Thoughts
Arena Trend Strategy v2 is not a magic wand – but it is a smart, adaptive technical system.
If you take time to understand what you’re seeing, it can help you make better, more confident trading decisions.
It’s beginner-friendly for those willing to learn, and powerful enough for advanced traders who appreciate the balance between automation and control.
📌 Note: Past performance does not guarantee future results.
The signaler pro Strategy based on divergence detection +liquidation+ filters for trend detection + volume filter + SMA + calculation You can set profit and loss (RR). Works great in small time frames and is also suitable for large time frames. Each asset must be configured appropriately. It is recommended to always activate ''USE OPPOSITE CONDITION FRO, EXIT FROM STRATEGY" Very effective on Bitcoin and Forex. www.thesignaler.com
Cruzamentos de EMAs 8, 20 e 50📈 Strategy Overview: EMA 8/20/50 Crossover System
This strategy uses a combination of EMA crossovers to identify and trade medium-term trend reversals, both long and short. It enters positions in two stages and exits them similarly, allowing for flexible scaling and better risk control.
🔧 Customizable Settings
Initial Capital: User-defined (default: $10,000)
Start Date: Customizable execution start date to control backtest range
🟩 Entry Conditions
LONG Entries:
Buy 60% of capital when EMA 8 crosses above EMA 20
Buy 40% of capital when EMA 8 crosses above EMA 50
SHORT Entries:
Sell short 60% of capital when EMA 8 crosses below EMA 20
Sell short 40% of capital when EMA 8 crosses below EMA 50
🟥 Exit Conditions
LONG Exits:
Close 60% of position when EMA 8 crosses below EMA 20
Close 40% of position when EMA 20 crosses below EMA 50
SHORT Exits:
Cover 60% of short when EMA 8 crosses above EMA 20
Cover 40% of short when EMA 20 crosses above EMA 50
🎯 Strategy Notes
All trades execute only after the user-defined start date
Uses strategy.percent_of_equity for dynamic capital allocation
Suitable for trend-following setups in stocks, crypto, or forex
Spot Trend Follower w/ MACDThis is a Spot market trend follower strategy that is optimizer for the bigger crypto currencies. Designed to grow a small account/ Utilizes MACD, and ATR/ATX technologies in its optimizations. Consistantly produces 50% win rate, and strong P&L Any feedback is welcome
[SM-004-v2.4] PSAR StrategyThis trend-following strategy combines Heikin Ashi candlestick analysis, the Parabolic SAR, RSI, and a 200-period EMA channel to identify breakout entries and manage exits. It aims to capture momentum-driven moves by entering trades on strong directional signals and exiting on trend reversals or weakening conditions.
Key Points
✅ Heikin Ashi candles filter noise and identify clean trend structures
✅ No lower/upper wick signals strength in trend direction (used as entry trigger)
✅ PSAR position confirms trend direction (below price for long, above for short)
✅ RSI filter ensures momentum alignment (>50 for longs, <50 for shorts)
✅ EMA channel prevents trades in sideways markets by requiring breakout
✅ Exits are triggered on PSAR flips or weakening candle structures
✅ Supports custom timeframe and date range filters
✅ Fully configurable for long/short, indicator parameters, and resolution
Intraday Breakout Strategy - Max 1 Trades + Strike SuggestionHere's a concise description you can use to publish your "First Candle Strategy: Intraday Breakout - Max 1 Trades + Strike Suggestion" on TradingView, highlighting the key features and target user:
First Candle Strategy: Intraday Breakout
This intraday strategy capitalizes on the volatility following the first candle (e.g., the first 5-minute candle) of the trading day. It identifies potential breakout opportunities based on the first candle's high and low. The strategy is designed for short-term traders looking for quick profits.
Key Features:
First Candle Breakout: Enters long positions above the first candle's high and short positions below its low.
Max 2 Trades: Limits risk by restricting trades to a maximum of two per day.
Strike Suggestion (for options):** .
Intraday Focus: Aims to close all positions before the end of the trading day.
Suitable for: Traders with a moderate risk tolerance who are looking for quick, intraday trades on volatile instruments.
NIFTY_INTRADAY_SCLAPING(2MIN)_LONGScalping Strategy for Nifty – Optimized for 2-Minute Time Frame
This strategy is meticulously designed for scalping Nifty on a 2-minute chart, focusing exclusively on long entries. It leverages a unique blend of variation indicators and power candle formations to trigger precise buy and close signals. The strategy incorporates optimized ratios and proximity thresholds, finely tuned to deliver consistent performance—making it stand out from conventional scalping methods.
🔑 Key Features
Automated Buy/Sell Signals: Clearly plotted on the chart for swift decision-making.
Dynamic Stop Loss & Target Levels: Based on risk-reward ratios.
Advanced Risk Management:
Tailored settings ideal for prop firm trading conditions.
Partial profit booking to secure gains efficiently.
Auto lot-size adjustment during trend reversals to protect capital.
Backtest-Ready: Built using Pine Script’s strategy() functions for full backtesting and performance validation.
Comprehensive Trade Summary Table:
Displays entry & exit Nifty levels, real-time P&L, and exit reason (profit booking, stop loss, or trend reversal).
🎯 Ideal For
Intraday traders and scalpers focusing on mechanical, rule-based entries and exits.
Traders looking for a structured approach with clear risk parameters and actionable insights.
📈 Performance Highlight
Historically demonstrates a win rate above 50%.
Especially powerful in trending markets, maximizing profit potential during bullish moves.
BTC High-Return StrategyTimeframe: H1 (hourly), backtested from January 1, 2023, to December 31, 2025.
Position Sizing: 50% of equity per trade (e.g., $500/trade on $1,000).
Entries:
RSI Long: Buy when 10-period RSI < 30 (oversold, pullback entry).
Breakout Long: Buy when price exceeds 7-period high (bullish breakout).
Exits:
RSI Exit: Sell RSI trades when RSI > 50 (neutral).
Profit Target: RSI trades target 5x ATR (~10–25% gains, e.g., $50–$125).
Trailing Stop: Breakout trades use 3.5x ATR (~15–30% gains, e.g., $75–$150).
Stop-Loss: 1.0x ATR (~1–3% loss, e.g., $5–$15).
Key Features:
High Frequency: 50–100 trades/month for frequent opportunities.
Bull Market Focus: Long-only to avoid losses in BTC’s uptrend.
Debug Plots: RSI and breakout triggers (red/yellow) to verify entries.
Improved Hybrid: RSI + Breakout + DashboardThe Improved Hybrid RSI + Breakout Strategy is a Pine Script® v6 trading system designed for BTC/USDT on TradingView. It combines RSI mean-reversion and breakout trades to capitalize on both ranging and trending markets. In ranging markets (ADX ≤ 25), it buys when RSI < 35 (oversold) and sells when RSI > 70 (overbought), aligning with the 200-period EMA trend (bullish/bearish). In trending markets (ADX > 25), it enters long/short positions when price breaks above/below the 20-period high/low. Each trade risks 10% of equity ($10,000 of default $100,000 capital), with 1.2x ATR stop-losses for RSI trades and 1.5x ATR trailing stops for breakouts, minimizing drawdowns. Trades are executed post-2020, optimized for BTC’s volatility on H1/H4 timeframes.
Crypto Strategy DMA with Multi Take profits levelsMulti-Level Take Profit Crypto Strategy
This strategy involves setting several take-profit (TP) levels to secure profits progressively as the price moves in your favor. It helps manage risk and maximize gains by locking in profits at different price points.
Key Components:
Entry Point: The price at which you enter the trade.
Stop Loss (SL): A predetermined price to limit losses if the market moves against you.
Multiple Take Profit Levels: Several target prices where you take partial profits.
How to Set Take Profit Levels:
TP1: Conservative target, usually close to the entry point for quick profit.
TP2: Moderate target, a bit further out for a better reward.
TP3: Aggressive target, for capturing larger trends or breakout moves.
Example Setup:
Entry Price: $100
Stop Loss: $90 (10% risk)
Take Profit 1 (TP1): $110 (10% gain)
Take Profit 2 (TP2): $120 (20% gain)
Take Profit 3 (TP3): $135 (35% gain)
Position Sizing:
Divide your position into portions allocated to each TP level. For example:
40% of your position closes at TP1.
30% closes at TP2.
30% closes at TP3.
This approach allows you to secure profits early while still having exposure for bigger moves.
HMA 200 + EMA 20 Crossover StrategyThis strategy combines a long-term trend filter using the Hull Moving Average (HMA 200) with a short-term entry trigger using the Exponential Moving Average (EMA 20).
📈 Entry Logic:
Buy Entry: When price is above the HMA 200 and crosses above the EMA 20.
Sell Entry: When price is below the HMA 200 and crosses below the EMA 20.
The strategy closes the current position and reverses on the opposite signal.
⚙️ Strategy Settings (Backtest Configuration):
Position size: 10% of equity per trade
Commission: 0.1% per trade (to simulate broker fees)
Slippage: 2 ticks (to reflect realistic fill conditions)
✅ Purpose:
This script is designed to identify high-probability trades in the direction of the overall trend, avoiding whipsaw conditions. It is useful for traders looking for a dynamic crossover-based system that filters trades based on longer-term momentum.
🔎 Make sure to test across multiple assets and timeframes. For best results, apply this strategy to liquid trending markets like major FX pairs, indices, or high-cap stocks.
SOLID#BBT INVThis strategy is invitation-only, profitable, and backtested for trading Bitcoin.
Please review the strategy report.
© by SOLID#SIGNALS
Grid + Trade Annotations & Liquidations## Introducing the “Grid + Trade Annotations & Liquidations” Pine Script Strategy
Imagine you could overlay a perfectly-spaced price grid on your favorite chart, backtest a simple moving-average crossover, see exactly where trades would have fired off in the past—and even know at what price you’d have been liquidated if you were running at 10× leverage. That’s exactly what this all-in-one TradingView **Pine Script® v6** strategy delivers.
### Why you’ll love it
* **Visual clarity:** A fixed-interval horizontal grid, centered on each bar’s close, helps you instantly spot round-number levels (e.g. every \$0.50).
* **Trade annotations:** Every historical entry/exit is automatically marked with arrows and labels—no more scrolling through Trade History.
* **Liquidation lines:** For each entry, the script computes your theoretical liquidation price, based on your chosen leverage, and draws it as a dashed line.
* **Performance metrics:** Total return, maximum drawdown, Sharpe ratio, and win rate are calculated and displayed on-chart, so you don’t have to wrestle with spreadsheets.
---
## How it’s structured
The code lives in a single **strategy**—add it via **Pine Editor → New Strategy** and click **Add to Chart**. Internally, it’s broken into four main sections:
1. **Grid setup:**
* **Inputs:** `gridStep`, `aboveLines`, `belowLines`, `gridColor`, `gridStyle`, `gridWidth`.
* **Persistent array:** stores `line` objects so they survive bar updates.
* **Draw/update logic:** on each confirmed historical bar, the script either recreates all lines (when you change the count) or simply repositions them around the new close.
2. **Entry/exit logic & annotations:**
* **Example system:** 20-period vs. 50-period simple moving-average crossover.
* **Labels & shapes:**
* Green triangles for long entries/exits, red for short.
* A “Long Liq:” or “Short Liq:” label at the point of entry.
3. **Liquidation calculations:**
* **Formula:**
* Long: `P_liq = P_entry × (1 − 1⁄L)`
* Short: `P_liq = P_entry × (1 + 1⁄L)`
* Let the script draw a dashed red (for longs) or dashed green (for shorts) line at each `P_liq`.
4. **Performance metrics:**
* **Built-ins:**
* `strategy.netprofit_percent` → total return %
* `strategy.max_drawdown_percent` → max drawdown %
* `strategy.wintrades` / `strategy.closedtrades` → win rate %
* **Sharpe ratio:** manually computed from per-bar returns, assuming a user-defined risk-free rate and bars-per-year count.
---
## Using & customizing the strategy
1. **Add to your chart.**
* Copy the full script into Pine Editor, select **Strategy**, and hit **Add to Chart**.
2. **Tune your grid.**
* **`Grid Interval ($)`**: e.g. `0.50` for \$0.50 steps.
* **`Lines Above`/`Below`**: how many lines to show on each side of the current price.
* **`Grid Style`**: choose Solid, Dashed, or Dotted; set line width and opacity via the color picker.
3. **Adjust your trading logic.**
* Out of the box, the script uses SMA(20) vs. SMA(50). Swap in any `ta.*` indicator calls you like.
4. **Set leverage & capital.**
* **`Leverage`**: affects the liquidation price.
* **`Initial Capital`** and **`Order Size`**: the strategy uses 100% of equity per trade by default—you can change that in the `strategy()` call.
5. **Review performance.**
* Metrics show up in the Strategy Tester and on-chart label.
* If you want data in the Data Window, expand the script’s name to see the hidden plots for return, drawdown, Sharpe, and win rate.
---
## Behind the code
Below is a high-level walkthrough of the key snippets:
```pinescript
//@version=6
strategy("Grid + Annotations & Liquidations", overlay=true,
initial_capital=100000, default_qty_type=strategy.percent_of_equity,
default_qty_value=100)
// ─ Grid inputs & style mapping ────────────────────────────────────────
gridStep = input.float(0.50, "Grid Interval ($)", minval=0)
aboveLines = input.int(5, "Lines Above", minval=0)
belowLines = input.int(5, "Lines Below", minval=0)
gridColor = input.color(color.new(color.gray, 80), "Grid Color")
gridStyle = input.string("Dashed", "Grid Style", options= )
gridWidth = input.int(1, "Grid Line Width", minval=1, maxval=5)
gridStyleConst = gridStyle == "Solid" ? line.style_solid :
gridStyle == "Dotted"? line.style_dotted :
line.style_dashed
```
* We map a simple string choice into Pine’s `line.style_*` constants.
* `gridStep` drives the spacing in dollars.
```pinescript
// Persist & update lines only when needed
var line gridLines = array.new_line()
if barstate.islastconfirmedhistory
total = aboveLines + belowLines + 1
if array.size(gridLines) != total
// delete & recreate
…
else
// only reposition
…
```
* Wrapping all drawing in `barstate.islastconfirmedhistory` avoids repaint issues.
* The script deletes and rebuilds lines only when you change `aboveLines`/`belowLines`, otherwise it simply moves them.
```pinescript
// MA crossover logic & liquidation labels
fast = ta.sma(close, 20)
slow = ta.sma(close, 50)
if ta.crossover(fast, slow)
strategy.entry("Long", strategy.long)
liq = close * (1 - 1.0 / leverage)
label.new(bar_index, low, text="Long Liq: " + str.tostring(liq))
line.new(…, y1=liq, y2=liq, color=color.red, style=line.style_dashed)
```
* Entries trigger both the `strategy.entry` call and a pair of visual cues: a label and a dashed line at the computed liquidation price.
```pinescript
// Performance metrics: draw from built-ins + manual Sharpe
totalRet = strategy.netprofit_percent
maxDD = strategy.max_drawdown_percent
winRate = strategy.closedtrades > 0 ?
(strategy.wintrades / strategy.closedtrades)*100 : 0
// Manual Sharpe calculation
… accumulate per-bar % returns … compute mean, stddev … apply formula …
```
* TradingView gives us return, drawdown, and trade counts out of the box.
* We calculate Sharpe ourselves so you can adjust the risk-free rate and periods per year.
---
## Wrapping up
This one-file strategy is designed to be both **educational** and **practical**:
* **Learn by reading:** every section is commented so you can see how Pine v6 handles arrays, loops, strategy functions, and labels.
* **Customize for your edge:** swap in your own indicators, change leverage, or hook up alerts.
* **Publish & share:** drop it into your public repo with this story as your README, and fellow traders will know exactly how to use it.
Feel free to fork, file issues, or submit pull requests. Happy charting—and may your grid lines always align!
TLCproTLCpro Trading Strategy
Description
TLCpro is a multi-timeframe trend-following strategy that combines EMA crossovers, MACD filtering, RSI confirmation, and VWAP/Trend EMA as dynamic support/resistance levels. The strategy is optimized for 1-hour (1H) and 4-hour (4H) timeframes, ensuring adaptability to different market conditions.
Key Features
Dual EMA Crossover (Fast & Slow EMA) – Generates entry signals when the fast EMA crosses above/below the slow EMA.
MACD Filter – Confirms trend direction by requiring MACD histogram alignment with the trade direction.
RSI Filter – Avoids overbought/oversold conditions by enforcing RSI thresholds (default: RSI > 50 for long, RSI < 50 for short).
Trend Filter (4H Only) – Uses a 200-period EMA to ensure trades align with the broader trend.
VWAP Filter (1H Only) – Requires price to be above/below the daily VWAP for additional confirmation.
Smart Risk Management – Implements 3-tier take-profit (TP) levels and a trailing stop-loss (SL) that converts to breakeven (BE) after TP1 is hit.
How It Works
Entry Conditions
Long Entry:
Fast EMA (15) crosses above Slow EMA (30).
MACD histogram is positive.
RSI > 50 (configurable).
On 1H: Price above daily VWAP.
On 4H: Price above 200-period Trend EMA.
Short Entry:
Fast EMA (15) crosses below Slow EMA (30).
MACD histogram is negative.
RSI < 50 (configurable).
On 1H: Price below daily VWAP.
On 4H: Price below 200-period Trend EMA.
Exit & Risk Management
3 Take-Profit Levels (TP1, TP2, TP3) – Closes portions of the trade at predefined profit levels (default: 3%, 6%, 10%).
Dynamic Stop-Loss (SL) & Breakeven (BE) Logic:
Initial SL: Fixed at 3% from entry.
After TP1 is hit: SL moves to breakeven (entry price).
After TP2 is hit: SL moves to TP1 level, locking in partial profits.
Visual SL/TP Lines – Drawn on the chart for easy tracking.
Why TLCpro is Unique & Worth Using
Multi-Timeframe Adaptability: Uses different filters (VWAP for 1H, Trend EMA for 4H) to improve signal quality.
Smart Risk Management: Unlike static SL/TP strategies, TLCpro trails stops to lock in profits while minimizing risk.
High-Confirmation Filters: Combines EMA, MACD, RSI, and Trend/VWAP to reduce false signals.
Visual Clarity: Clearly marks SL, TP, and BE levels on the chart for intuitive trade management.
Backtesting & Risk Considerations
Realistic Risk per Trade: Default stop-loss is 3%, ensuring sustainable risk management.
Partial Profit-Taking: Exits 25% at TP1, 25% at TP2, and 50% at TP3, balancing risk and reward.
Commission & Slippage: Should be accounted for in live trading (adjust in strategy settings).
Recommended Capital: Works well with $1,000+ accounts due to percentage-based position sizing.
How to Use
Apply to 1H or 4H charts (optimized for these timeframes).
Default settings work well, but adjust EMA lengths, RSI thresholds, and TP/SL levels based on volatility.
Monitor SL/TP lines – The strategy auto-updates them as price moves.
Avoid over-optimization – Test on multiple instruments before live trading.
Final Notes
TLCpro is designed for swing traders and trend followers who want a systematic, rules-based approach with clear risk management. By combining multiple confirmation filters and dynamic stop adjustments, it aims to improve consistency in trending markets.
SuperTrade ST1 StrategyOverview
The SuperTrade ST1 Strategy is a long-only trend-following strategy that combines a Supertrend indicator with a 200-period EMA filter to isolate high-probability bullish trade setups. It is designed to operate in trending markets, using volatility-based exits with a strict 1:4 Risk-to-Reward (R:R) ratio, meaning that each trade targets a profit 4× the size of its predefined risk.
This strategy is ideal for traders looking to align with medium- to long-term trends, while maintaining disciplined risk control and minimal trade frequency.
How It Works
This strategy leverages three key components:
Supertrend Indicator
A trend-following indicator based on Average True Range (ATR).
Identifies bullish/bearish trend direction by plotting a trailing stop line that moves with price volatility.
200-period Exponential Moving Average (EMA) Filter
Trades are only taken when the price is above the EMA, ensuring participation only during confirmed uptrends.
Helps filter out counter-trend entries during market pullbacks or ranges.
ATR-Based Stop Loss and Take Profit
Each trade uses the ATR to calculate volatility-adjusted exit levels.
Stop Loss: 1× ATR below entry.
Take Profit: 4× ATR above entry (1:4 R:R).
This asymmetry ensures that even with a lower win rate, the strategy can remain profitable.
Entry Conditions
A long trade is triggered when:
Supertrend flips from bearish to bullish (trend reversal).
Price closes above the Supertrend line.
Price is above the 200 EMA (bullish market bias).
Exit Logic
Once a long position is entered:
Stop loss is set 1 ATR below entry.
Take profit is set 4 ATR above entry.
The strategy automatically exits the position on either target.
Backtest Settings
This strategy is configured for realistic backtesting, including:
$10,000 account size
2% equity risk per trade
0.1% commission
1 tick slippage
These settings aim to simulate real-world conditions and avoid overly optimistic results.
How to Use
Apply the script to any timeframe, though higher timeframes (1H, 4H, Daily) often yield more reliable signals.
Works best in clearly trending markets (especially in crypto, stocks, indices).
Can be paired with alerts for live trading or analysis.
Important Notes
This version is long-only by design. No short positions are executed.
Ideal for swing traders or position traders seeking asymmetric returns.
Users can modify the ATR period, Supertrend factor, or EMA filter length based on asset behavior.
