XRP Trend & Signal Strategy V2This is a simple yet effective script that plots the closing price of the selected asset directly on the chart. Useful for visualizing raw price action without additional indicators, this script serves as a clean base for further customization and strategy development.
Indicators and strategies
DOGE 15MIN**Warm Reminder:** This strategy is intended solely for exploratory research and experimentation to evaluate the effectiveness of various signals. Drawing inspiration from patterns observed on the DOGE cryptocurrency 15-minute chart, it provides a tailored framework to identify potential trading opportunities. For optimal results, it is currently recommended exclusively for DOGE 15min charts. Remember, trading involves inherent risks, and past performance is not indicative of future results. We are dedicated to ongoing optimizations and refinements to enhance its robustness across broader applications—stay tuned for updates!
#### **A. Long Entry Signals**
These conditions trigger a long position entry, provided the strategy has no existing position (position_size == 0) and is not blocked. Signals can be enabled/disabled via input toggles (e.g., enable_vix).
- **VIX Reversal (vix_long)**: VIX signal shifts from high to low volatility (non-high volatility), with RSI between 30-50.
- **RSI Oversold (rsi_long)**: RSI crosses above 30.
- **CVD Bullish (cvd_long)**: CVD is rising.
- **Price RSI Bullish (prsi_long)**: Price RSI crosses above 30 or a long signal is triggered.
- **RangeEMA Bullish (rema_long)**: Candlestick is above POC, with KAMA trend flipping upward.
- **ZVWAP Oversold (zvwap_long)**: ZVWAP enters the oversold zone.
- **KAMA + Volume Bullish (kama_long)**: KAMA trend flips upward, candlestick is above POC, volume is rising, and the candle is bullish (green).
- **Volume Burst Bullish (vol_burst_long)**: Volume RSI crosses below threshold (default 70), open > close (bearish/red candle), triggered within the last two candles. **Special: Ignores all blocks** (bypasses not_long, Pivot, OI, RSI/ADX extreme filters).
#### **B. Short Entry Signals**
Similar to long entries: requires no existing position and no blocks.
- **RSI Overbought (rsi_short)**: RSI crosses below 70.
- **CVD Bearish (cvd_short)**: CVD is declining.
- **Price RSI Bearish (prsi_short)**: Price RSI crosses below 70 or a short signal is triggered.
- **RangeEMA Bearish (rema_short)**: Candlestick is below POC, with KAMA trend flipping downward.
- **ZVWAP Overbought (zvwap_short)**: ZVWAP enters the overbought zone.
- **KAMA + Volume Bearish (kama_short)**: KAMA trend flips downward, candlestick is below POC, volume is declining, and the candle is bearish (red).
- **Chop Bearish (chop_short)**: Chop crosses below 38.2, with RSI > 50.
- **Volume Burst Bearish (vol_burst_short)**: Volume RSI crosses below threshold (default 70), RSI > 70, and close > open (bullish/green candle), triggered within the last two candles. **Special: Ignores all blocks** (bypasses not_short, Pivot, OI, RSI/ADX extreme filters).
#### **C. Long Entry Blocks/Filters**
These conditions block long entries unless the signal ignores blocks (e.g., Volume Burst).
- **Base Prohibition (not_long)**: Volume is declining, or ADX is bearish (di_bear), or VIX is in high volatility (vix_flag), or RSI < 30.
- **Pivot Filter**: Recent Pivot is in a disadvantaged position.
- **OI Filter**: OI is declining.
- **RSI/ADX Extreme Filter**: RSI > 70 or ADX is bullish (di_bull).
- **Other**: Strategy already has a position (position_size != 0), or extreme volatility (is_extreme, though disabled in code).
#### **D. Short Entry Blocks/Filters**
Similar to long blocks.
- **Base Prohibition (not_short)**: Volume is rising, or (Chop < 38.2 and RSI > 50), or ADX is bullish (di_bull), or RSI > 70.
- **Pivot Filter**: Recent Pivot is in a disadvantaged position.
- **OI Filter**: OI is rising.
- **RSI/ADX Extreme Filter**: RSI < 30 or ADX is bearish (di_bear).
- **Other**: Existing position, or extreme volatility.
#### **E. Long Exit Signals**
Triggers closing of long positions, based on states (e.g., super_long, weak_long, only_kama).
- **KAMA Bearish Flip (exist_long)**: KAMA trend flips downward, or KAMA is downward with a short signal.
- **VIX Signal**: VIX shifts from low to high volatility, with RSI < 50.
- **Reversal Signal**: Short signal present and KAMA is downward.
- **Weak Trend Stop-Loss (weak_stop_long)**: In weak_long state, candlestick near POC, and close crosses below POC.
- **Weak KAMA Stop-Loss (weak_kama_long)**: In weak_long state, candlestick far from POC, and KAMA trend reverses.
- **Global Exit (exist_all)**: Volume RSI crosses below threshold (vol_under), or KAMA exit (kama_exit_long), or weak stop-loss, etc.
- **Special**: If in strong_long_hold (only_kama and KAMA remains bullish), ignore certain exit signals to hold the position.
#### **F. Short Exit Signals**
Similar to long exits.
- **KAMA Bullish Flip (exist_short)**: KAMA trend flips upward, or KAMA is upward with a long signal.
- **Reversal Signal**: Long signal present and KAMA is upward.
- **Weak Trend Stop-Loss (weak_stop_short)**: In weak_short state, candlestick near POC, and close crosses above short_state.current_max.
- **Weak KAMA Stop-Loss (weak_kama_short)**: In weak_short state, candlestick far from POC, and KAMA flips upward.
- **Global Exit (exist_all)**: Same as above.
StockMarketWolf 9/20 EMA VWAP MACD StrategyThis strategy is all about catching momentum in the market by combining some of the most trusted technical indicators—moving averages, VWAP, and MACD—to help you spot better trade opportunities with more confidence.
Here’s the simple idea:
Use the 9 and 20 EMA crossover to spot when the short-term trend is turning up or down.
Check that the price is trading above or below the VWAP (the average price weighted by volume for the day) to confirm the overall market sentiment.
Use the MACD to make sure momentum is supporting your trade—no point jumping in if momentum isn’t backing it up.
How it works:
Go long when the 9 EMA crosses above the 20 EMA, price is above VWAP, and MACD is signaling positive momentum.
Go short when the 9 EMA crosses below the 20 EMA, price is below VWAP, and MACD shows bearish momentum.
Exit the trade when these signals flip or momentum fades.
Why it’s useful:
It helps you avoid trading against the trend by using the VWAP filter.
The MACD momentum check cuts down on fake breakouts.
It’s straightforward and works well on popular day trading charts like the 5-minute timeframe.
Great for high-volume stocks and futures like SPY, QQQ, or ES futures.
Things to keep in mind:
It doesn’t throw out signals all day — you get quality over quantity.
Like any strategy, it’s not perfect and can struggle during sideways markets.
Sticking to the rules and having patience is key.
All in all, this is a solid, no-nonsense strategy that mixes trend and momentum in a way that makes trading feel a bit more clear and less noisy. Perfect if you want a systematic approach without overcomplicating things.
Vortex Hunter X - Strategy (3-Min TF) | PEPE Signal (Binance)⚙️ Vortex Hunter X - Strategy (3-Min TF) | PEPE Signal (Binance)
This strategy is designed for analyzing the PEPE/USDT pair on Binance Futures within the TradingView platform, and can be used to execute trades on any exchange of your choice.
Each position has a fixed 4% profit target and a fixed 2% stop loss. These parameters are hard-coded and do not change dynamically. The risk-to-reward ratio is fixed at 1:2.
🔎 Non-Repainting Signals and Consistency Between Backtest and Live Trading
The signals generated by this strategy are completely non-repainting, meaning once a signal is issued, it will not be altered or modified later.
Backtesting results and live trading performance on TradingView are exactly consistent, demonstrating the high reliability of the strategy.
🔁 Note About Replay Mode on TradingView
When running the strategy in Replay mode on TradingView (historical playback of the chart), you may notice some differences compared to live or backtest results.
These differences arise due to the way data is processed in Replay mode and delays in how certain filters access past information.
✅ However, it is important to understand that these differences do not indicate any repainting of signals. In live and backtest modes, signals are generated exactly according to the strategy’s logic without any changes.
🔄 Important Recommendation for Proper Script Loading
Due to the use of complex filters, multi-stage processing, and sensitive conditions in the signal logic, sometimes the browser cache may cause the script not to load fully or precisely, or some components may load with delays.
This can lead to signals not displaying correctly or minor issues in the strategy’s performance.
✅ Therefore, it is strongly recommended to clear your browser cache or press Ctrl + F5 for a full refresh on the TradingView chart page before the first use and periodically (e.g., every few days).
This ensures the script loads freshly and completely from TradingView servers, enabling accurate and smooth strategy operation.
⚠️ Important Usage Notes:
🔸 This strategy is specifically designed and optimized only for the following conditions:
Symbol: PEPEUSDT
Exchange: BINANCE
Market: Futures
Timeframe: 3 minutes (3m)
🔸 For accurate signals, please ensure the strategy runs only on the PEPE/USDT Futures chart on Binance with a 3-minute timeframe in TradingView.
🔸 ⚠️ Note: For actual trading execution, you may use any exchange (e.g., Binance, Bybit, OKX, etc.), but analysis and strategy operation must be performed strictly within TradingView with the exact above settings.
Using the strategy on incorrect symbols, timeframes, or markets may result in invalid signals.
ℹ️ Strategy Naming:
Each strategy’s name clearly indicates the asset it is configured for.
For example:
Vortex Hunter X - Strategy (3-Min TF) | PEPE Signal (Binance) for PEPE
Vortex Hunter X - Strategy (3-Min TF) | SUI Signal (Binance) for SUI
Currently, the strategy is configured and optimized for only these two pairs:
PEPEUSDT (Binance Futures)
SUIUSDT (Binance Futures)
📌 Purchasing a single subscription grants you access to both strategies (PEPE and SUI).
📈 More assets will be added to this strategy in the future, and subscribers will gain access to new versions automatically.
✅ Summary of Settings:
🎯 Take Profit (TP): 4%
⛔ Stop Loss (SL): 2%
📊 Risk-to-Reward Ratio: 1:2
⏱️ Timeframe: 3 minutes
🧪 Target Market: PEPE Futures on Binance
📩 For access or support, contact:
Kinetic Profits Signals_v1.0The Kinetic Profits Signals indicator is a momentum tool that seeks to identify whether an asset is moving higher in price with positive momentum, or lower with negative momentum, by assessing the asset's price action relative to historical highs and lows, over a custom and defined lookback period calibrated for the "swing" trading style.
Bullish positive momentum periods are signaled when the bullish green line crosses over and is above the bearish red line, while bearish negative momentum periods are indicated when the bearish red line crosses over and is above the bullish green line.
This tool is designed and intended to be an indicator that plots signals on the price chart, rather than on a subgraph, so the transitions between potentially bullish and bearish periods are easily spotted. The tool is NOT meant to be construed as any form of buy/sell/entry/exit recommendation.
EMA and Dow Theory Strategies🌐 Strategy Description
📘 Overview
This is a hybrid strategy that combines EMA crossovers, Dow Theory swing logic, and multi-timeframe trend overlays. It is suitable for intraday to short-term trading on any asset class: crypto, forex, stocks, and indices.
The strategy provides precise entry/exit signals, dynamic stop-loss and scale-out, and highly visual trade guidance.
🧠 Key Features
・Dual EMA crossover system (applied to both symbol and external index)
・Dow Theory-based swing high/low detection for trend confirmation
・Visual overlay of higher timeframe swing trend (htfTrend)
・RSI filter to avoid overbought/oversold entries
・Dynamic partial take-profit when trend weakens
・Custom stop-loss (%) control
・Visualized trade PnL labels directly on chart
・Alerts for entry, stop-loss, partial exit
・Gradient background zones for swing zones and trend visualization
・Auto-tracked metrics: APR, drawdown, win rate, equity curve
⚙️ Input Parameters
| Parameter | Description |
| ------------------------- | -------------------------------------------------------- |
| Fast EMA / Slow EMA | Periods for detecting local trend via EMAs |
| Index Fast EMA / Slow EMA | EMAs applied to external reference index |
| StopLoss | Maximum loss threshold in % |
| ScaleOut Threshold | Scale-out percentage when trend changes color |
| RSI Period / Levels | RSI period and overbought/oversold levels |
| Swing Detection Length | Number of bars used to detect swing highs/lows |
| Stats Display Options | Toggle PnL labels and position of statistics table |
🧭 About htfTrend (Higher Timeframe Trend)
The script includes a higher timeframe trend (htfTrend) calculated using Dow Theory (pivot highs/lows).
This trend is only used for visual guidance, not for actual entry conditions.
Why? Strictly filtering trades by higher timeframe often leads to missed opportunities and low frequency.
By keeping htfTrend visual-only, traders can still refer to macro structure but retain trade flexibility.
Use it as a contextual tool, not a constraint.
ストラテジー説明
📘 概要
本ストラテジーは、EMAクロスオーバー、ダウ理論によるスイング判定、**上位足トレンドの視覚表示(htfTrend)**を組み合わせた複合型の短期トレーディング戦略です。
仮想通貨・FX・株式・指数など幅広いアセットに対応し、デイトレード〜スキャルピング用途に適しています。
動的な利確/損切り、視覚的にわかりやすいエントリー/イグジット、統計表示を搭載しています。
🧠 主な機能
・対象銘柄+外部インデックスのEMAクロスによるトレンド判定
・ダウ理論に基づいたスイング高値・安値検出とトレンド判断
・上位足スイングトレンド(htfTrend)の視覚表示
・RSIフィルターによる過熱・売られすぎの回避
・トレンドの弱まりに応じた部分利確(スケールアウト)
・**損切り閾値(%)**をカスタマイズ可能
・チャート上に損益ラベル表示
・アラート完備(エントリー・決済・部分利確)
・トレンドゾーンを可視化する背景グラデーション
・勝率・ドローダウン・APR・資産増加率などの自動表示
| 設定項目名 | 説明内容 |
| --------------------- | -------------------------- |
| Fast EMA / Slow EMA | 銘柄に対して使用するEMAの期間設定 |
| Index Fast / Slow EMA | 外部インデックスのEMA設定 |
| 損切り(StopLoss) | 損切りラインのしきい値(%で指定) |
| 部分利確しきい値 | トレンド弱化時にスケールアウトする割合(%) |
| RSI期間・水準 | RSI計算期間と、過熱・売られすぎレベル設定 |
| スイング検出期間 | スイング高値・安値の検出に使用するバー数 |
| 統計表示の切り替え | 損益ラベルや統計テーブルの表示/非表示選択 |
🧭 上位足トレンド(htfTrend)について
本スクリプトには、上位足でのスイング高値・安値の更新に基づく**htfTrend(トレンド判定)が含まれています。
これは視覚的な参考情報であり、エントリーやイグジットには直接使用されていません。**
その理由は、上位足を厳密にロジックに組み込むと、トレード機会の損失が増えるためです。
このスクリプトでは、**判断の補助材料として「表示のみに留める」**設計を採用しています。
→ 裁量で「利確を早める」「逆張りを避ける」判断に活用可能です。
Eliora Gold 1min (Heikin Ashi)Eliora -focused trading strategy designed for anything on the 1-minute timeframe using Heikin Ashi candles. This mode combines advanced market logic with structured risk management to deliver smooth, disciplined trade execution.
Key Features:
✅ Trend Confirmation – Aligns with dominant market direction for higher accuracy.
✅ ATR-Based Volatility Filter – Avoids high-risk conditions and chaotic price action.
✅ Candle Strength Logic – Filters weak setups, focusing on strong momentum.
✅ Balanced Risk/Reward – Calculates stop-loss and take-profit dynamically for consistent results.
✅ Cooldown & Overtrade Protection – Limits frequency to maintain trade quality.
This version of Eliora is built for scalpers and intraday traders seeking high-probability entries with graceful exits.
Auto Intelligence Selective Moving Average(AI/MA)# 🤖 Auto Intelligence Moving Average Strategy (AI/MA)
**AI/MA** is a state-adaptive moving average crossover strategy designed to **maximize returns from golden cross / death cross logic** by intelligently switching between different MA types and parameters based on market conditions.
---
## 🎯 Objective
To build a moving average crossover strategy that:
- **Adapts dynamically** to market regimes (trend vs range, rising vs falling)
- **Switches intelligently** between SMA, EMA, RMA, and HMA
- **Maximizes cumulative return** under realistic backtesting
---
## 🧪 materials amd methods
- **MA Types Considered**: SMA, EMA, RMA, HMA
- **Parameter Ranges**: Periods from 5 to 40
- **Market Conditions Classification**:
- Based on the slope of a central SMA(20) line
- And the relative position of price to the central line
- Resulting in 4 regimes: A (Bull), B (Pullback), C (Rebound), D (Bear)
- **Optimization Dataset**:
- **Bybit BTCUSDT.P**
- **1-hour candles**
- **2024 full-year**
- **Search Process**:
- **Random search**: 200 parameter combinations
- Evaluated by:
- `Cumulative PnL`
- `Sharpe Ratio`
- `Max Drawdown`
- `R² of linear regression on cumulative PnL`
- **Implementation**:
- Optimization performed in **Python (Pandas + Matplotlib + Optuna-like logic)**
- Final parameters ported to **Pine Script (v5)** for TradingView backtesting
---
## 📈 Performance Highlights (on optimization set)
| Timeframe | Return (%) | Notes |
|-----------|------------|----------------------------|
| 6H | +1731% | Strongest performance |
| 1D | +1691% | Excellent trend capture |
| 12H | +1438% | Balance of trend/range |
| 5min | +27.3% | Even survives scalping |
| 1min | +9.34% | Robust against noise |
- Leverage: 100x
- Position size: 100%
- Fees: 0.055%
- Margin calls: **none** 🎯
---
## 🛠 Technology Stack
- `Python` for data handling and optimization
- `Pine Script v5` for implementation and visualization
- Fully state-aware strategy, modular and extendable
---
## ✨ Final Words
This strategy is **not curve-fitted**, **not over-parameterized**, and has been validated across multiple timeframes. If you're a fan of dynamic, intelligent technical systems, feel free to use and expand it.
💡 The future of simple-yet-smart trading begins here.
ATR Trend Strategy + KAMA FilterATR Trend Strategy with XMA KAMA Filter
Strategy Description
This strategy combines a dynamic ATR trailing stop with an XMA KAMA filter to precisely detect trends and generate reliable entry signals.
It uses a two-step trend confirmation system:
1️⃣ ATR Trailing Stop
Based on the Average True Range (ATR), this trailing stop automatically adapts to market volatility.
It determines whether the market is in a bullish or bearish phase by comparing the current price to the ATR trailing stop level.
2️⃣ KAMA Filter (XMA Version)
KAMA (Kaufman Adaptive Moving Average) provides an additional trend filter.
This XMA version of KAMA avoids the traditional fast/slow parameters and instead dynamically calculates the ratio of signal to market "noise", helping to reduce false signals and over-sensitivity.
How It Works
Long Signal:
Price is above both the ATR trailing stop and the KAMA (XMA) line.
Short Signal:
Price is below both the ATR trailing stop and the KAMA (XMA) line.
What Makes This Strategy Different?
Unlike many classic strategies that rely on simple moving averages, this system uses an adaptive KAMA filter that responds better to changing market conditions and volatility.
The ATR trailing stop automatically adjusts to current market volatility, providing an extra layer of protection against false breakouts.
By combining these tools, this strategy offers:
Precise trend filtering
Avoidance of false breakouts and noise
Dynamic adjustment to market conditions
How to Use
Apply the strategy to any market chart (Forex, stocks, crypto, indices, etc.)
Adjust the ATR and KAMA parameters to match your trading plan
Use the TradingView Strategy Tester to evaluate performance before live trading
Who Is This For?
Swing traders and trend followers
Traders looking for clean, filtered signals with reduced noise
Medium-term traders seeking a system that adapts to market dynamics
Additional Info: Heikin Ashi Compatibility
This strategy is fully compatible with Heikin Ashi candles.
By applying it to a chart with Heikin Ashi candles, traders can further reduce market noise and enhance trend visualization.
The combination of ATR trailing stop + XMA KAMA filter + Heikin Ashi smoothing provides an even cleaner trend-following system, minimizing false signals and improving decision-making clarity.
LANZ Strategy 5.0 [Backtest]🔷 LANZ Strategy 5.0 — Rule-Based BUY Logic with Time Filter, Session Limits and Auto SL/TP Execution
This is the backtest version of LANZ Strategy 5.0, built as a strategy script to evaluate real performance under fixed intraday conditions. It automatically places BUY and SELL trades based on structured candle confirmation, EMA trend alignment, and session-based filters. The system simulates real-time execution with precise Stop Loss and Take Profit levels.
📌 Built for traders seeking to simulate clean intraday logic with fully automated entries and performance metrics.
🧠 Core Logic & Strategy Conditions
✅ BUY Signal Conditions:
Price is above the EMA200
The last 3 candles are bullish (close > open)
The signal occurs within the defined session window (NY time)
Daily trade limit has not been exceeded
If all are true, a BUY order is executed at market, with SL and TP set immediately.
🔻 SELL Signal Conditions (Optional):
Exactly inverse to BUY (below EMA + 3 bearish candles). Disabled by default.
🕐 Operational Time Filter (New York Time)
You can fully customize your intraday window:
Start Time: e.g., 01:15 NY
End Time: e.g., 16:00 NY
The system evaluates signals only within this range, even across midnight if configured.
🔁 Trade Management System
One trade at a time per signal
Trades include a Stop Loss (SL) and Take Profit (TP) based on pip distance
Trade result is calculated automatically
Each signal is shown with a triangle marker (BUY only, by default)
🧪 Backtest Accuracy
This version uses:
strategy.order() for entries
strategy.exit() for SL and TP
strategy.close_all() at the configured manual closing time
This ensures realistic behavior in the TradingView strategy tester.
⚙️ Flow Summary (Step-by-Step)
On every bar, check:
Is the time within the operational session?
Is the price above the EMA?
Are the last 3 candles bullish?
If conditions met → A BUY trade is opened:
SL = entry – X pips
TP = entry + Y pips
Trade closes:
If SL or TP is hit
Or at the configured manual close time (e.g., 16:00 NY)
📊 Settings Overview
Timeframe: 1-hour (ideal)
SL/TP: Configurable in pips
Max trades/day: User-defined (default = 99 = unlimited)
Manual close: Adjustable by time
Entry type: Market (not limit)
Visuals: Plotshape triangle for BUY entry
👨💻 Credits:
💡 Developed by: LANZ
🧠 Strategy logic & execution: LANZ
✅ Designed for: Clean backtesting, clarity in execution, and intraday logic simulation
MACD + RSI + SMA Strategy with TP/SLThis strategy combines three technical indicators: MACD, RSI, and Simple Moving Average (SMA) to identify high-probability entry points. It enters trades in the direction of the trend (filtered by SMA), confirms momentum shifts (via MACD crossover), and validates signals with RSI to avoid overbought/oversold conditions.
Key Features:
Directional filter using SMA to align trades with the broader trend.
Momentum validation with MACD crossovers.
Risk control through RSI thresholds and fixed percentage-based Take Profit and Stop Loss levels.
Works for both long and short positions.
Disclaimer: This is a sample strategy for educational purposes only.
Trading involves risk. Use at your own discretion.
You bear full responsibility for any profit or loss.
Keltner Channel + SMI 3-min with RVOLThis strategy is designed for active traders looking to capitalize on short-term price extremes in high-volume environments. Built on a 3-minute chart, it combines the precision of the Keltner Channel with the momentum insights of the Stochastic Momentum Index (SMI), while adding a volume-based filter to enhance the quality of trade signals.
The system aims to identify mean reversion opportunities by monitoring when price overextends beyond key volatility bands and aligns with deeply overbought or oversold momentum readings. However, it only triggers trades when relative volume is elevated, ensuring that signals are backed by significant market activity.
Long positions are initiated when price dips below the lower volatility band, momentum is deeply negative, and volume confirms interest.
Shorts are opened when price spikes above the upper band with overheated momentum and heavy participation.
Positions are exited once the momentum shifts back toward neutrality, helping to lock in gains on reversion.
The result is a tight, reactive strategy that avoids low-volume noise and aims to catch sharp reversals with strong participation. Ideal for SPY or other high-liquidity instruments, especially during peak market hours.
Break and Retest High Probability StrategyWhat does the script Do:
Script uses Break and Retest strategy on Key Levels like PMH, PDH, PMH, PML and ORB levels. Based on the strength of the candle at these key levels a position is taken and based on Dynamic stop loss, we scale out of the position at key levels. Scale out can also happen based on the QQQ trend.
How it does it:
First the script identifies No Trade Zone - which is higher of PMH and PDH for Highest position of No Trade Zone, and lower of PML and PDL. Any trades within this doesnt take any Trade entries.
Entries are taken in only Regular Trading Hours.
Candle strength is constantly tracked for break out these levels and then wait for retest levels based on Volatality on that day with ATR levels. If it fails to come back to retest - it is ignored else at retest levels strength of the bar is tracked. Scaling out can be done based on various Input parameters given in the strategy. VWAP and 9 EMA is also tracked for taking an entry or not.
How to use it:
Make sure to use various parameters within Inputs like Candle Strength at vwap, QQQ confluence to tweak and see what works best for the time frame and stock.
In the Multi Time frame construct - if you are on 5min time frame the candle stregth can be tracked in lower time frame which can be 1, 2, 3 min etc. This is also configurable within the Inputs.
Make sure to use the levels and values displayed in the table to see real time data.
Also, You can just have the Long entry, Short Entry and Plot variables selected in Style section to declutter the chart. Feel free to reuse the chart
what makes it original.
Strategy Parameters
• Is representative of real world trading conditions.
Break and Retest at key levels while following various confluence set ups makes it completely real world and battle tested indicator. All the parameters used within Inputs and Style are completely known Market variables.
• Is compatible with the markets their strategy is written for.
This is best for doing scalping where momentum and volatality is the king.
• Produces realistic results.
Like any strategy nothing is 100% guaranteed. But the key is to monitor the Profit factor and exit at right positions even if it means lesser number of trades.
This strategy is tested against lot of Tech stocks like nvidia, tesla, amazon against QQQ confluence.
. to help traders interpret the results they publish with their strategy,
Please feel free to tweak the parameters to tweak the strategy and see what works best for the stock you are placing this indicator on.
I primarily take the default parameters of this strategy to do scalping. The Multitime frame restest ( which goes to lower timeframe to check the strength of bars - which is again configurable by Fixed Retest bars and Retest Time Frame. I would recommend you to use Enable candle pattern filter to further refine the trades to be high probability.
This is a high probability set up - so please dont expect many trades from each stock. The strategy only gets triggered when it sees valid signal as per parameters set on the strategy.
T3MA Ribbon Strategy (v6 - Fixed HA) by LKALGOT3MA Ribbon Strategy (v6) by LKALGO
The T3MA Ribbon Strategy helps you catch trends with confidence!
It combines a fast and slow T3 moving average to create a color-filled ribbon that clearly shows bullish (green) and bearish (red) momentum.
✅ Key features:
Smooth trend signals using powerful T3 MAs
Optional Heikin Ashi smoothing for even cleaner trends
Simple, clear BUY and SELL signals on the chart
Alerts included for easy automation
How it works:
Enter long when the ribbon turns green (fast T3 crosses above slow T3)
Exit when it turns red (fast T3 crosses below slow T3)
Works on all timeframes and markets. Perfect for traders who want a simple but effective trend-following system.
ICT Silver Bullet (JadeCap)This strategy backtests the "ICT Silver Bullet Strategy" by JadeCap.
Strategy Description:
This strategy backtests the "ICT Silver Bullet" concept as interpreted by JadeCap. It focuses on plotting the Asia, London, and 9 AM EST highs and lows, and looks for entries during the Silver Bullet hours: 10–11 AM EST and 2–3 PM EST.
Using a 5-minute chart, the strategy waits for a Fair Value Gap (FVG) to form during a Silver Bullet session. A limit order is placed at the FVG if at least one of the specified highs or lows has been raided (liquidity taken).
Caveats:
It is unclear what should happen if both the highs and lows of any range are taken. This script offers three selectable behaviors to handle this case.
It’s unclear whether both AM and PM sessions should always be traded. This strategy allows you to:
Limit the number of daily wins (e.g. skip PM if AM is successful)
Choose to trade only AM, only PM, or both
Customizable Strategy Options (find these in the settings):
Minimum FVG Ticks
Max Daily Wins
Stop loss at candle 1
Trading sessions
Multiple raids
Close Trade Time
Source: www.youtube.com
As always, please let me know if I missed something or an improvement can be made.
RSI Strategy V1-HardcodedThis strategy is optimized for specific market behavior and has shown the best results on HUT (Hut 8 Mining).
Backtesting on other assets may yield different outcomes.
GKMN Gaussian Channel - Sto RSI StrategyFor 1 Day BTC. With this smart tool you can catch BTC cycles. It's working in 1 day timeframe most efficiently.
You should set the inputs:
Source: (H + L)/2
Poles: 4
Sampling Period: 144
Filtered True Range Multiplier: 2.16
Tolomeo ea1This strategy relies on the crossing of two Exponential Moving Averages (EMAs) to generate buy and sell signals. The basic idea is to capture changes in the price trend: when a faster EMA crosses a slower EMA, it indicates a potential change in market direction.
Signal Logic
The strategy generates signals based on the following conditions:
Buy Signal (Long): Occurs when the Fast EMA crosses above the Slow EMA. This suggests that the short-term trend is turning bullish and may be a good time to enter a long position.
Sell Signal (Short): Occurs when the Fast EMA crosses below the Slow EMA. This indicates that the short-term trend is turning bearish and may be an opportunity to enter a short position or close a long position.
Buy Dip Multiple Positions🎯 Objective
This strategy aims to capture aggressive dip-buying opportunities during volume-confirmed price reversals in short term downtrending markets. It is optimized for multi-entry precision, adaptive stop management, and real-time trade monitoring.
It allows traders to execute multiple long entries and dynamically trail stops to maximize gains while capping risk. Designed with modular inputs, this strategy is ideal for intraday momentum scalping and swing trading alike.
🔧 How It Operates
The strategy triggers buy entries when three conditions align:
Reversal Candle: Current close < prior low × 0.998
Volume Confirmation: Current volume exceeds average of prior 2 bars × 1.2
Price Surge Threshold: Current close below user-defined % of close from N bars ago
Once a reversal candle is confirmed, the strategy:
Calculates position size based on user-defined risk parameters
Allows up to a max number of simultaneous trades
Trailing Stop kicks in 2 bars after entry, climbing by a user-defined % each bar
Exit occurs when price hits either the trailing stop or target price
🛠️ Inputs
Users can customize all major aspects of the strategy:
Max Simultaneous Trades: Default 20
Trailing Stop Increase per Bar (%): Default 1%
Initial Stop (% of Reversal Low): Default 85%
Target Price (% Above Reversal Low): Default 60%
Price Surge Threshold (% of Past Close): Default 89%
Surge Lookback Bars: Default 14
Show Active Trade Dot: Toggle to display green trade status dot
📊 Visual Overlays
The chart displays the following:
Marker Description
🟢 Green Dot Active trade (toggleable)
🔴 Red Dot Max trades reached
📈 Trailing Stop Applied internally but not plotted (can be added)
📊 Metrics Plots of win rate, winning/losing trade counts
📎 Notes
Strategy uses strategy.cash allocation logic
Entry size adapts to account equity and risk per trade
All parameters are accessible via the settings panel
Built entirely in Pine Script v5
This strategy balances flexibility and precision, giving traders control over entry timing, capital allocation, and stop behavior. Ideal for those looking to automate dip-buy setups with tactical overlays and visual alerts.
SY_Quant_AI_YJ✅ English Description (Safe Minimal Version)
SY_Quant_AI_YJ— Multi-Factor Trend Analysis Toolkit
This indicator combines trend detection, structure recognition, and visual overlays to assist traders in analyzing market dynamics.
It integrates common techniques in a simplified form for research and chart-based strategy development.
BTC Bullrider by Traddy🟦 How to Use BTC Bullrider
🔄 Works on 4H timeframe, best outcome with Bybit or Binance Chart
✅ Enter a Long when a blue triangle appears on the chart — this is your buy signal.
🟣 Exit the trade immediately when a purple triangle appears — this is your exit signal.
🛡️ Always use a fixed stop-loss of 4% from your entry price.
⚙️ You can test different leverage values and equity allocations in the strategy settings to simulate your risk appetite.
📈 BTC Bullrider — Easy & Profitable Bitcoin-Only Strategy
BTC Bullrider is a powerful, Bitcoin-exclusive trading strategy created for traders who want to ride bullish momentum with precision — without the noise and guesswork. Whether you're a beginner or a pro, this strategy gives you clear long-only signals and robust exit logic to stay on the profitable side of Bitcoin trends.
🧠 How It Works – Behind the Scenes
BTC Bullrider is powered by two core engines that work in parallel:
🔁 1. Mean Reversion Engine
Designed to buy strong dips in uptrends using volume and RSI signals.
✅ Dynamic VWAP thresholds identify undervalued zones.
✅ Smoothed RSI (2) spots short-term oversold opportunities.
✅ ADX Filter confirms if the market is trending.
✅ Trailing ATR Stop + Fixed 4% SL for smart risk protection.
When all conditions align, a long position is opened.
🚀 2. Trend Hunter Engine
Built to catch powerful breakouts based on trend slope and volume.
✅ Custom Ichimoku-style lead lines detect trend acceleration.
✅ TSV Volume Spike and BB expansion confirm momentum bursts.
✅ VIDYA + ADX ensure entries only occur during strong uptrends.
Entries are triggered when momentum is aligned and price breaks resistance.
⚙️ Features
🎯 Visual Buy/Sell Alerts with blue and purple triangles.
📅 Date range filtering for accurate backtests.
📊 Adjustable leverage & equity % inputs.
🔄 Works on 4H timeframe
📈 Long-only for trend-following Bitcoin strategies.
BTC Bullrider simplifies Bitcoin trading into clear, rules-based decisions — built to reduce emotional trading and help you stay aligned with the market’s true trend.
Enter strong. Exit smart. Ride the bull. 🐂
Roboquant No-Wick Strategy V1.3This strategy is built specifically for the MNQ1! futures contract on the 15-minute timeframe. It identifies and trades a specific price action setup where candles have little to no wick (either top or bottom), indicating potential momentum continuation. The system places pending limit orders with defined stop-loss and take-profit levels based on ATR volatility.
In theory the strategy should also work on other assets & timeframes if the settings are adjusted.
🔍 Key Features:
Only runs on MNQ1! and the 15-minute chart (errors otherwise to prevent misuse).
Detects "no-wick" candles based on configurable wick and body size filters.
Supports session-based trading (default: 02:00–16:00 NY time).
Executes limit-style entries placed a set number of points away from candle levels.
Uses ATR-based stop-loss and take-profit calculations for adaptive risk control.
Cancels orders automatically after a configurable number of bars if not filled.
Built-in performance statistics table shows live metrics on strategy results.
Trade signals and SL/TP levels are plotted directly on the chart for easy visualization.
⚙️ User Inputs Include:
Candle Settings: Wick percentage, min/max body size
Risk Settings: ATR multiplier, risk/reward (TP), contract size
Strategy Settings: Session time, entry offset distance, cancel-after bars
Performance Table: Toggle visibility, starting balance for display calculations
📈 Performance Table Metrics:
Total trades
Starting and ending balance
Net return in $ and %
Win rate
Maximum drawdown (in $ and %)
⚠️ Notes:
This strategy does not repaint.
Meant for educational and research purposes only — it is not financial advice.
Results may vary based on market conditions, latency, and broker execution. Always forward-test before using in live trading.
In order to unlock the use on all assets and timeframes a password is required which is included in our premium community.
Time-Cycle Strategy•Native cryptocurrency and tokens share common periodic patterns.
•Stablecoins have distinct intraday and intraweek dynamics.
•The returns on stablecoins are uncorrelated with other cryptocurrencies.
•Tokens contribute more to the risk on cryptocurrency market than other coins.
•The betas in functional CAPM of cryptocurrency are periodic functions.
80% Rule BacktestStrategy Overview: 80% Rule Backtest Tool
This strategy tester is designed to validate the classic 80% Rule setup within a defined ETH futures session. Signals are triggered when price reenters the prior day's value area and holds for a qualified duration — targeting the Point of Control (POC) for primary exits, while tracking full value area traversals for research purposes.
- 📅 Session Logic: Anchored to a true 22-hour ETH futures window (5PM–3PM Pacific), with global time zone support
- 🧠 Signal Confirmation: Price must reenter and hold inside value area for ≥ 45 minutes to validate entry
Note: Optimized for 15-minute charts — aligns exactly with traditional rule definition (3-bar hold)
- 🎯 Targets: Primary TP at POC; visual logs for full VAH/VAL reach
- 🔍 Manual Override Mode: Precise SVP-level control when auto logic isn’t preferred
- 🔧 Debug Mode: Single-bar diagnostic labels for development and forward testing
This tool supports both auto-calculated and manually anchored value areas, allowing traders to blend systematic backtesting with discretionary insight.
working on this tool to be used as a strategy tester