Pro Manipulation Detector [Serhio]This strategy detects potential market manipulation by identifying abnormal wick formations combined with volume spikes. It uses multiple filters to confirm valid entries.
Core Concept
Looks for long lower wicks (bullish reversal) and long upper wicks (bearish reversal) with volume spikes.
Requires wicks to be 2.5x larger than the candle body and volume 1.8x above average.
Optional Filters
Trend Filter (EMA 50) – Price must be above EMA for longs, below for shorts.
EMA Slope Filter – Confirms trend strength (rising EMA for longs, falling for shorts).
RSI Filter – Avoids overbought/oversold conditions (RSI > 45 for longs, RSI < 55 for shorts).
Trade Execution
Long Entry: Long lower wick + volume spike + bullish filters.
Short Entry: Long upper wick + volume spike + bearish filters.
Cooldown: Prevents repeated signals within 5 bars.
Visualization
Plots EMA trendline and slope EMA.
Marks entry signals with triangles (green for long, red for short).
This strategy aims to catch stop hunts and liquidity grabs while filtering out weak setups.
Indikatoren und Strategien
AI Liquidity Master[Serhio]This strategy combines smart money concepts, volume analysis, and trend confirmation to trade liquidity grabs with controlled risk.
Enhanced [Serhio]This strategy combines trend, volume, volatility, and momentum filters for high-probability entries with a favorable risk-reward ratio.
Trend Filter: Uses EMA(50) > EMA(200) for trend direction.
Liquidity Zones: Confirms with VWAP(20) (price above/below for trend bias).
Volume Confirmation: OBV (10-period SMA > 50-period SMA) validates trend strength.
Volatility Filter: ATR(14) must be above its 50-period SMA to avoid low-volatility trades.
RSI Filter: Avoids overbought (RSI > 65) and oversold (RSI < 35) zones.
Entry Conditions
Long:
Price crosses above EMA(50).
Uptrend (EMA(50) > EMA(200), price > VWAP, OBV bullish).
RSI < 65.
ATR confirms volatility.
Short:
Price crosses below EMA(50).
Downtrend (EMA(50) < EMA(200), price < VWAP, OBV bearish).
RSI > 35.
ATR confirms volatility.
Risk Management
Stop-Loss: ATR-based (1.2x ATR).
Take-Profit: 3x ATR (Risk-Reward = 1:3).
Visualization
Plots EMA(50) , EMA(200) , and VWAP(20) .
Smart Money Strategy [Trend Confirmed]Smart Money Strategy
Timeframes: Uses a higher (HTF) and lower (LTF) timeframe for trend confirmation.
Trend Confirmation: Requires price above/below EMA(50) on both HTF and LTF.
Entry Signals: Combines BOS (Break of Structure), CHoCH (Change of Character), and FVG (Fair Value Gap) for entries.
Risk Management: Uses swing highs/lows for stop-loss and a fixed risk-reward ratio (RR) for take-profit.
Trading Rules:
Long entries when trend is up and any signal (BOS/CHoCH/FVG) triggers.
Short entries when trend is down and any signal triggers.
Visualization: Plots EMA(50) for both HTF (blue) and LTF (orange).
The strategy executes 100% of equity per trade with adjustable RR and stop methods.
SMC HTF-LTF StrategyMulti-timeframe strategy based on **pivots** on the higher (HTF) and lower (LTF) timeframes.
Main components:
1. **Timeframes:** - **HTF (Higher Timeframe)** – higher timeframe (default 15 minutes). - **LTF (Lower Timeframe)** – lower timeframe (default 1 minute).
2. **Definition of pivots:** - **HTF pivots:** Pivot points on the higher timeframe (length = 20 bars). - **LTF pivots:** Pivot points on the lower timeframe (length = 20 bars).
3. **Signals:** - **Long:** When a **HTF and LTF** simultaneously forms **bullish reversal** (pivot high). - **Short:** When a **bearish reversal** (pivot low) is formed on **HTF and LTF simultaneously**.
4. **Risk management:** - **Stop loss:** - For long – below the local minimum. - For short – above the local maximum. - **Take profit:** Calculated based on the specified **risk return (RR = 2.0)**.
5. **Visualization:** - **HTF signals:** Triangles (▲ green – long, ▼ red – short). - **LTF signals:** Circles (● lime – long, ● orange – short). **Strategy essence:** Trading based on the coincidence of reversal signals on different timeframes with a fixed RR.
Cyclical CALL/PUT StrategyThis script identifies optimal CALL (long) and PUT (short) entries using a cyclical price wave modeled from a sine function and confirmed with trend direction via a 200 EMA.
Strategy Highlights:
Cycle-Based Signal: Detects market rhythm with a smoothed sinusoidal wave.
Trend Confirmation: Filters entries using a customizable EMA (default: 200).
Auto-Scaling: Wave height adjusts dynamically to price action volatility.
Risk Parameters:
Take Profit: Default 5% (customizable)
Stop Loss: Default 2% (customizable)
Signal Triggers:
CALL Entry: Price crosses above the scaled wave and in an uptrend
PUT Entry: Price crosses below the scaled wave and in a downtrend
Inputs:
Cycle Length
Smoothing
Wave Height
EMA Trend Length
Take Profit %
Stop Loss %
Visuals:
Gray line = Scaled Cycle Wave
Orange line = 200 EMA Trend Filter
Best For: Traders looking to make 1–2 high-probability trades per week on SPY or other highly liquid assets.
Timeframes: Works well on 2-min, 15-min, and daily charts.
t-1hVol-4This is a proprietary trading strategy built on the combination of SSL Hybrid, MACD, and Volume Explosiveness Detection. It is specially tailored for high-volume breakout conditions in the cryptocurrency market and performs optimally on timeframes such as 15m, 30m, 1h, 2h, and 4h.
🔧 Core Concept & Logic
SSL Hybrid: Detects trend direction using a smoothed price crossover system. It acts as the primary trend filter.
MACD: Used to confirm momentum shifts and identify trend continuation or potential reversals. It enhances entry precision by filtering false signals.
Volume Breakout Detection: A custom-built volume filter checks for sudden spikes in volume, ensuring the strategy engages only during explosive or highly active conditions.
Only when all three elements align (trend confirmation from SSL, momentum confirmation from MACD, and volume breakout), a trade is triggered. This ensures high-probability entries while reducing noise in sideways markets.
⚙️ Strategy Settings & Default Configuration
Initial Capital: $100
Order Size: Fixed at $100 per trade
Position Sizing Option: Selectable in parameters (default: Fixed, optional: 100% Equity)
Position Type: Long & Short depending on signal confirmation
Commission & Slippage: Applied reasonably to simulate realistic trading (adjustable)
The strategy uses K-line Amplifier (Candlestick Multiplier) to simulate market behavior more accurately in backtests, offering a result that is closer to live trading experience.
📈 Suitable Markets & Timeframes
Designed for multiple cryptocurrency pairs
Optimal timeframes: 15m, 30m, 1h, 2h, 4h
For other coins, feel free to fine-tune the settings as responsiveness varies based on asset behavior
📊 Backtest Integrity
Over 100 trades tested to ensure statistical significance
Conservative risk management built in — no trade exceeds 100% of account equity (when using fixed size)
Strategy avoids overfitting and is not based on repainting indicators
Does not send alert-only signals; all signals are part of a live-executable strategy
Use this tool as part of a broader trading system. Always apply proper risk management and conduct your own testing before using in live markets.
中文
这是一个基于 SSL Hybrid 指标、MACD 动量指标 和 成交量爆发检测 的原创交易策略，专为加密货币市场中的高成交量爆发行情设计，适用于 15分钟、30分钟、1小时、2小时和4小时 等多种周期。
🔧 核心逻辑与原理
SSL Hybrid：利用平滑价格的交叉系统检测趋势方向，是主要趋势过滤器。
MACD：用于确认动量变化，识别趋势延续或潜在反转，进一步提高入场信号的准确性。
成交量爆发检测：通过自定义逻辑监测成交量的突然放大，仅在活跃或爆发市场中参与交易，提升胜率。
仅当三者信号共振时（趋势确认 + 动量确认 + 成交量爆发），策略才会触发进场信号，从而有效避免震荡市的噪音信号。
⚙️ 策略参数与默认设置
初始资金：100 美元
每单投入：固定 100 美元
仓位设置：参数中可选，默认固定仓位，可选择 100% 权益
交易方向：多空双向，根据信号自动执行
佣金与滑点：设定合理，以模拟真实交易环境（可手动调整）
策略启用了 K线放大器（Candlestick Amplifier），可更真实地模拟市场价格波动，提升回测数据的参考价值。
📈 适用市场与周期
支持多币种加密货币市场
推荐使用周期为 15m、30m、1h、2h、4h
不同币种可能适用的最佳周期不同，可根据币种活跃度自行调试
📊 回测说明
已测试超过 100 笔交易，具备统计意义
内建保守风控机制，固定仓位不超过总资金（当选择固定每单 100U 时）
策略非重绘，避免过拟合
本策略非警报型脚本，所有信号均可直接用于实盘测试
本策略适合作为完整交易系统的一部分使用，请配合严格的风控与自主测试后应用于实盘操作。
거미줄 자동매매 250227Okay, let's break down this TradingView Pine Script code, '거미줄 자동매매 250227' (Spiderweb Auto-Trading 250227).
This script implements a grid trading strategy for long positions in the USDT market. The core idea is to place a series of buy limit orders at progressively lower prices below an initial entry point, aiming to lower the average entry price as the price drops. It then aims to exit the entire position when the price rises a certain percentage above the average entry price.
Here's a detailed breakdown:
1. Strategy Setup (`strategy` function):
`'거미줄 자동매매 250227'`: The name of the strategy.
`overlay = true`: Draws plots and labels directly on the main price chart.
`pyramiding = 15`: Allows up to 15 entries in the same direction (long). This is essential for grid trading, as it needs to open multiple buy orders.
`initial_capital = 600`: Sets the starting capital for backtesting to 600 USDT.
`currency = currency.USDT`: Specifies the account currency as USDT.
`margin_long/short = 0`: Doesn't define specific margin requirements (might imply spot trading logic or rely on exchange defaults if used live).
`calc_on_order_fills = false`: Strategy calculations happen on each bar's close, not just when orders fill.
2. Inputs (`input`):
Core Settings:
`lev`: Leverage (default 10x). Used to calculate position sizes.
`per1`: Percentage of total capital to allocate to the initial grid (default 80%).
`per2`: Percentage of the *remaining* capital (100 - `per1`) to use for the "semifinal" entry (default 50%). The rest goes to the "final" entry.
`len`: Lookback period (default 4 bars) to determine the initial `maxPrice`.
`range1`: The total percentage range downwards from `maxPrice` where the grid orders will be placed (default -10%, meaning 10% down).
`tp`: Take profit percentage above the average entry price (default 0.45%).
`semifinal`: Percentage drop from `maxPrice` to trigger the "semifinal" larger entry (default 12%).
`final`: Percentage drop from `maxPrice` to trigger the "final" larger entry (default 15%).
Trading Mechanics:
`trail`: Boolean (true/false) to enable an ATR-based trailing stop only if just the first grid order ("Buy 1") has filled (default true).
`atrPeriod`, `atrMult`: Settings for the ATR calculation if `trail` is true.
Rounding & Display:
`roundprice`, `round`: Decimal places for rounding price and quantity calculations.
`texts`, `label_style`: User interface preferences for text size and label appearance on the chart.
Time Filter:
`startTime`, `endTime`: Defines the date range for the backtest.
3. Calculations & Grid Setup:
`maxPrice`: The highest price point for the grid setup. Calculated as the lowest low of the previous `len` bars only if no trades are open . If trades are open, it uses the entry price of the very first order placed in the current sequence (`strategy.opentrades.entry_price(0)`).
`minPrice`: The lowest price point for the grid, calculated based on `maxPrice` and `range1`.
`totalCapital`: The amount of capital (considering leverage and `per1`) allocated for the main grid orders.
`coinRatios`: An array ` `. This defines the *relative* size ratio for each of the 11 grid orders. Later orders (at lower prices) will be progressively larger.
`totalRatio`: The sum of all ratios (66).
`positionSizes`: An array calculated based on `totalCapital` and `coinRatios`. It determines the actual quantity (size) for each of the 11 grid orders.
4. Order Placement Logic (`strategy.entry`):
Initial Grid Orders:
Runs only if within the specified time range and no position is currently open (`strategy.opentrades == 0`).
A loop places 11 limit buy orders (`Buy 1` to `Buy 11`).
Prices are calculated linearly between `maxPrice` and `minPrice`.
Order sizes are taken from the `positionSizes` array.
Semifinal & Final Entries:
Two additional, larger limit buy orders are placed simultaneously with the grid orders:
`semifinal entry`: At `maxPrice * (1 - semifinal / 100)`. Size is based on `per2`% of the capital *not* used by the main grid (`1 - per1`).
`final entry`: At `maxPrice * (1 - final / 100)`. Size is based on the remaining capital (`1 - per2`% of the unused portion).
5. Visualization (`line.new`, `label.new`, `plot`, `plotshape`, `plotchar`):
Grid Lines & Labels:
When a position is open (`strategy.opentrades > 0`), horizontal lines and labels are drawn for each of the 11 grid order prices and the "final" entry price.
Lines extend from the bar where the *first* entry occurred.
Labels show the price and planned size for each level.
Dynamic Coloring: If the price drops below a grid level, the corresponding line turns green, and the label color changes, visually indicating that the level has been reached or filled.
Plotted Lines:
`maxPrice` (initial high point for the grid).
`strategy.position_avg_price` (current average entry price of the open position, shown in red).
Target Profit Price (`strategy.position_avg_price * (1 + tp / 100)`, shown in green).
Markers:
A flag marks the `startTime`.
A rocket icon (`🚀`) appears below the bar where the `final entry` triggers.
A stop icon (`🛑`) appears below the bar where the `semifinal entry` triggers.
6. Exit Logic (`strategy.exit`, `strategy.entry` with `qty=0`):
Main Take Profit (`Full Exit`):
Uses `strategy.entry('Full Exit', strategy.short, qty = 0, limit = target2)`. This places a limit order to close the entire position (`qty=0`) at the calculated take profit level (`target2 = avgPrice * (1 + tp / 100)`). Note: Using `strategy.entry` with `strategy.short` and `qty=0` is a way to close a long position, though `strategy.exit` is often clearer. This exit seems intended to apply whenever any part of the grid position is open.
First Order Trailing Stop (`1st order Full Exit`):
Conditional : Only active if `trail` input is true AND the *last* order filled was "Buy 1" (meaning only the very first grid level was entered).
Uses `strategy.exit` with `trail_points` and `trail_offset` based on ATR values to implement a trailing stop loss/profit mechanism for this specific scenario.
This trailing stop order is cancelled (`strategy.cancel`) if any subsequent grid orders ("Buy 2", etc.) are filled.
Final/Semifinal Take Profit (`final Full Exit`):
Conditional : Only active if more than 11 entries have occurred (meaning either the "semifinal" or "final" entry must have triggered).
Uses `strategy.exit` to place a limit order to close the entire position at the take profit level (`target3 = avgPrice * (1 + tp / 100)`).
7. Information Display (Tables & UI Label):
`statsTable` (Top Right):
A comprehensive table displaying grouped information:
Market Info (Entry Point, Current Price)
Position Info (Avg Price, Target Price, Unrealized PNL $, Unrealized PNL %, Position Size, Position Value)
Strategy Performance (Realized PNL $, Realized PNL %, Initial/Total Balance, MDD, APY, Daily Profit %)
Trade Statistics (Trade Count, Wins/Losses, Win Rate, Cumulative Profit)
`buyAvgTable` (Bottom Left):
* Shows the *theoretical* entry price and average position price if trades were filled sequentially up to each `buy` level (buy1 to buy10). It uses hardcoded percentage drops (`buyper`, `avgper`) based on the initial `maxPrice` and `coinRatios`, not the dynamically changing actual average price.
`uiLabel` (Floating Label on Last Bar):
Updates only on the most recent bar (`barstate.islast`).
Provides real-time context when a position is open: Size, Avg Price, Current Price, Open PNL ($ and %), estimated % drop needed for the *next* theoretical buy (based on `ui_gridStep` input), % rise needed to hit TP, and estimated USDT profit at TP.
Shows "No Position" and basic balance/trade info otherwise.
In Summary:
This is a sophisticated long-only grid trading strategy. It aims to:
1. Define an entry range based on recent lows (`maxPrice`).
2. Place 11 scaled-in limit buy orders within a percentage range below `maxPrice`.
3. Place two additional, larger buy orders at deeper percentage drops (`semifinal`, `final`).
4. Calculate the average entry price as orders fill.
5. Exit the entire position for a small take profit (`tp`) above the average entry price.
6. Offer a conditional ATR trailing stop if only the first order fills.
7. Provide extensive visual feedback through lines, labels, icons, and detailed information tables/UI elements.
Keep in mind that grid strategies can perform well in ranging or slowly trending markets but can incur significant drawdowns if the price trends strongly against the position without sufficient retracements to hit the take profit. The leverage (`lev`) input significantly amplifies both potential profits and losses.
PG MA Crossover and Direction based Strategy### PG MA Crossover and Direction-Based Strategy: How It Works
The **PG MA Crossover and Direction-Based Strategy** is a versatile trading algorithm designed to capitalize on market trends and momentum using dynamic moving averages (MA). It combines MA crossover signals, trend direction analysis, and customizable exit conditions to execute long and short trades efficiently.
#### Key Features:
1. **Dynamic Moving Average (MA)**:
- The strategy supports multiple types of moving averages: Simple Moving Average (SMA), Exponential Moving Average (EMA), and Volume Weighted Moving Average (VWMA).
- Users can select the type of MA and the calculation basis (e.g., close price, average of OHLC prices).
2. **Color-Coded Trend Detection**:
- The moving average dynamically switches colors:
- **Green** for rising trends, indicating bullish momentum.
- **Red** for declining trends, signaling bearish momentum.
- Trend direction is determined by comparing the MA against a customizable reversal threshold.
3. **Long Trade Logic**:
- Entry Conditions:
- The MA must be green (rising) **or** the price must positively cross above the MA.
- Re-Entry Logic:
- After a long trade exits, re-entry occurs if the price dips below the MA and recovers above it with a positive crossover.
- Exit Conditions:
- Exit when the price exceeds the MA by **2.5%** (customizable).
- Stop-loss triggered if the MA turns red or if the price crosses below the MA.
4. **Short Trade Logic**:
- Entry Conditions:
- The MA must be red (declining) **and** the price must negatively cross below the MA.
- Exit Conditions:
- Exit when the price falls **1.5%** below the MA (customizable).
- Stop-loss triggered if the price crosses back above the MA.
5. **Back-Test Period Customization**:
- The strategy allows users to define a specific range for back-testing using start and end dates.
- Trades are executed only within the selected testing period.
#### Visualization:
- The moving average is plotted on the chart, dynamically changing color to represent market trends and trade signals.
- Buy and sell orders are highlighted, enabling easy tracking of trade performance.
#### Benefits:
- Flexibility: Customizable inputs for MA type, calculation basis, periods, and thresholds.
- Clarity: The strategy visualizes market trends and trading signals using color-coded moving averages.
- Efficiency: Combines trend-following and crossover logic to execute trades at optimal points.
订单流轨迹自动交易脚本《订单流交易》一书系统性地介绍了订单流（Order Flow）这一市场分析方法，强调通过分析市场中每一价位的主动买卖单量，捕捉供需力量的变化，从而预判价格趋势的延续或反转。以下是核心内容提炼：
1. 订单流的核心概念
订单流定义：通过实时追踪每个价位的主动买单和卖单成交量，揭示市场供需力量的动态平衡。与传统K线图（仅显示开盘、收盘、最高、最低价）不同，订单流深入价格内部，展示买卖双方的博弈细节。
关键指标：
Delta：单根K线内主动买单总量减去主动卖单总量的差值，反映多空力量强弱。
POC（成交量最大价位）：K线内部成交量最大的价格点，揭示多空争夺的核心区域。
失衡现象：当某一价位的主动买单量显著高于卖单（需求失衡）或反之（供应失衡），阈值通常设为3:1。
堆积失衡：连续多个价位出现供需失衡，形成支撑/阻力带。
2. 订单流的优势
实时性：直接反映市场当下行为，而非滞后指标（如MACD、RSI）。
识别主力动向：通过大单、微单、被套交易者等信号，捕捉机构或主力资金的痕迹。
大单：顶部/底部成交量显著高于相邻价位，表明主力介入。
微单：顶部/底部成交量骤减，显示趋势末端力量衰竭。
被套交易者：趋势末端大量反向成交，导致价格反转（如顶部放量却无法突破）。
3. 订单流的分析方法
价格与成交量结合：
健康上涨：伴随主动买单递增，Delta为正且放大。
弱势反转：顶部出现需求失衡但价格回落，或底部供应失衡却未创新低。
关键价位的应用：
支撑/阻力：通过前日高低点、VWAP（成交量加权平均价）、月线级别高低点等判断。
突破与回踩：价格突破关键位后回踩确认，结合订单流验证有效性。
4. 交易策略与实战应用
高胜率信号：
顶部/底部微单：趋势末端成交量萎缩，预示反转（如顶部主动买单骤减）。
失衡堆积：连续失衡形成支撑/阻力带，回踩时入场。
吸收与主动出击：价格在区间内震荡（吸收）后突破，伴随成交量放大。
资金管理与心理：
止损设置：基于失衡区间或关键价位，控制单笔亏损（如1-2跳）。
空仓纪律：无明确信号时保持观望，避免过度交易。
5. 与传统技术的对比
K线图的局限：无法展示价格内部成交细节，仅依赖形态（如十字星、吞噬）易被误导。
订单流的独特性：通过微观成交数据，识别市场情绪（如恐慌性抛售或贪婪追涨），避免“看图说话”的滞后性。
6. 适用场景与市场
高流动性市场：期货、股指、外汇等，需足够成交量支撑订单流分析。
日内与波段交易：短周期（如15分钟）捕捉供需突变，长周期验证趋势强度。
总结
订单流的核心在于通过实时成交数据，理解市场参与者的行为逻辑，从而在趋势启动初期或反转前捕捉机会。它并非预测工具，而是通过供需力量对比，为交易决策提供客观依据。结合严格的资金管理和心理纪律，订单流能显著提升交易的胜率与盈亏比。
**"Order Flow Trading"** systematically introduces the market analysis method of **Order Flow**, emphasizing the capture of supply-demand dynamics by analyzing active buy/sell volumes at each price level to anticipate trend continuations or reversals. Below is a distilled summary of the core concepts:
---
### **1. Core Concepts of Order Flow**
- **Definition**:
Order Flow tracks real-time active buy/sell volumes at each price level, revealing the dynamic balance between supply and demand. Unlike traditional candlestick charts (which only show open, close, high, and low prices), Order Flow dives into price internals, exposing the battle between buyers and sellers.
- **Key Metrics**:
- **Delta**: The difference between total active buy volume and sell volume within a single candlestick, reflecting bullish/bearish strength.
- **POC (Point of Control)**: The price level with the highest volume in a candlestick, indicating the focal point of buyer-seller conflict.
- **Imbalance**: Occurs when buy volume significantly exceeds sell volume (**demand imbalance**, threshold ~3:1) or vice versa (**supply imbalance**).
- **Cumulative Imbalance**: Consecutive price levels with imbalances, forming support/resistance zones.
---
### **2. Advantages of Order Flow**
- **Real-Time Insight**: Reflects immediate market behavior, unlike lagging indicators (e.g., MACD, RSI).
- **Identifying Institutional Activity**: Detects "smart money" footprints through signals like:
- **Large Orders**: Unusually high volume at tops/bottoms, signaling institutional participation.
- **Micro Orders**: Abrupt volume drops at trend extremes, indicating exhaustion.
- **Trapped Traders**: Reversals triggered by countertrend volume surges (e.g., failed breakouts with high sell volume).
---
### **3. Analytical Techniques**
- **Price-Volume Integration**:
- **Healthy Rally**: Rising buy volume with expanding positive Delta.
- **Weak Reversal**: Demand imbalance at tops with price rejection, or supply imbalance at bottoms without new lows.
- **Key Price Levels**:
- **Support/Resistance**: Identified via prior highs/lows, VWAP (Volume-Weighted Average Price), or monthly levels.
- **Breakout & Retest**: Validate breakouts using Order Flow after price retests key levels.
---
### **4. Trading Strategies & Execution**
- **High-Probability Signals**:
- **Micro Orders at Extremes**: Volume drying up at tops/bottoms signals reversals.
- **Cumulative Imbalance Zones**: Enter on pullbacks to stacked imbalance areas.
- **Absorption & Breakouts**: Post-consolidation breakouts with volume expansion.
- **Risk & Psychology**:
- **Stop Loss**: Set 1-2 ticks outside imbalance zones or key levels.
- **Flat Discipline**: Avoid overtrading; act only on clear signals.
---
### **5. Order Flow vs. Traditional Analysis**
- **Candlestick Limitations**: Reliance on patterns (e.g., doji, engulfing) often leads to false signals due to missing internal price data.
- **Order Flow Edge**: Leverages granular trade data to detect market sentiment (e.g., panic selling or FOMO buying), avoiding lagging "chart storytelling."
---
### **6. Applicable Markets & Timeframes**
- **High-Liquidity Markets**: Futures, indices, forex (sufficient volume for Order Flow analysis).
- **Timeframes**:
- **Intraday/Swing**: Short-term (e.g., 15min) for sudden supply-demand shifts.
- **Long-Term**: Validate trend strength on higher timeframes (e.g., daily).
---
### **Summary**
Order Flow focuses on interpreting real-time transactional data to decode market participant behavior, capturing opportunities at trend inception or reversal points. It is not a predictive tool but a framework for objective decision-making through supply-demand analysis. Combined with strict risk management and psychological discipline, Order Flow enhances trade accuracy and profit potential.
PRO Strategy 3TP (v2.1)**PRO Strategy 3TP (v2.1) - TradingView Strategy Guide**
**ENG | **
---
### **Strategy Overview**
The **PRO Strategy 3TP** combines multi-timeframe analysis, trend filters, and dynamic risk management to capture trends with precision. It uses EMA/HMA/SMA crossovers, CCI for overbought/oversold conditions, ADX for trend strength, and ATR-based stops/take-profits. The strategy’s uniqueness lies in its **three-tier profit-taking system**, adaptive multi-timeframe logic, and automatic stop-loss movement to breakeven after TP1.
---
### **Key Features**
1. **Multi-Timeframe Analysis**: Uses higher timeframe (e.g., 1H, 4H) indicators to filter entries on your chart’s timeframe.
2. **Trend Filters**: Combines EMA, HMA, and SMA to confirm trend direction.
3. **CCI + ADX Filters**: Avoids false signals by requiring momentum (CCI) and trend strength (ADX > threshold).
4. **ATR Volatility Adjustments**: Stop-loss (SL) and take-profits (TP1/TP2/TP3) adapt to market volatility.
5. **Breakeven Stop**: SL moves to entry price after TP1 is hit, locking in profits.
---
### **Setup & Configuration**
1. **Input Parameters**:
- **Trading Mode**: Choose LONG, SHORT, or BOTH.
- **Indicator Timeframe**: Select a higher timeframe (e.g., "60" for 1H).
- **EMA/HMA/SMA**: Toggle on/off and set lengths (default: 100, 50, 200).
- **CCI**: Set length (default: 4), overbought (+100), oversold (-100).
- **ADX**: Set length (default: 14) and threshold (default: 26).
- **ATR**: Period (default: 19), SL/TP multipliers (default: SL=5x, TP1=1x, TP2=1.3x, TP3=1.7x).
2. **Position Sizing**:
- **Always specify size in contracts**, not percentages. Calculate contracts based on your risk per trade (e.g., 1-2% of capital).
3. **Multi-Timeframe Logic**:
- Example: If your chart is 15M, set the indicator timeframe to 1H. Entries trigger when the 15M price aligns with the 1H trend.
---
### **How It Works**
- **Entry Conditions**:
- **Long**: Price > EMA/HMA/SMA + CCI < -100 (oversold) + ADX > 26 (strong trend).
- **Short**: Price < EMA/HMA/SMA + CCI > +100 (overbought) + ADX > 26.
- **Exits**:
- **SL**: 5x ATR from entry.
- **TP1**: 1x ATR profit. After TP1 hits, SL moves to breakeven.
- **TP2/TP3**: 1.3x and 1.7x ATR profit.
---
### **Example Configurations**
1. **Scalping (1-15M Chart)**:
- EMA=50, HMA=20, SMA=OFF, CCI=3, ATR=14, SL=3x, TP1=0.8x.
- Indicator TF: 5M.
2. **Swing Trading (1H-4H Chart)**:
- EMA=100, HMA=50, SMA=200, ADX=20, SL=5x, TP1=1x.
- Indicator TF: 1D.
3. **Trend Following (Daily Chart)**:
- SMA=200, ADX=25, CCI=OFF, SL=6x, TP3=2x.
---
### **ADX Explanation**
The ADX (Average Directional Index) measures trend strength. Values above 25 indicate a strong trend. The strategy uses ADX to avoid trading in sideways markets.
---
### **Risk Management**
- **Past results do NOT guarantee future performance**.
- **No universal settings**: Optimize for each asset (BTC vs. alts behave differently).
- Test settings in a demo account before live trading.
- Never risk more than 1-5% per trade.
---
### **FAQ**
**Q: Why specify position size in contracts?**
A: Contracts let you precisely control risk. For example, if your SL is 50 points and you risk $100, size = 100 / (SL distance * contract value).
**Q: How does the breakeven stop work?**
A: After TP1 (33% position closed), the SL moves to entry price, eliminating risk for the remaining position.
**Q: Can I use this on stocks/forex?**
A: Yes, but re-optimize ATR/SL/TP settings for each market’s volatility.
---
**ПРО Стратегия 3TP (v2.1) - Руководство для TradingView**
---
### **Описание стратегии**
**PRO Strategy 3TP** сочетает мультитаймфрейм-анализ, фильтры тренда и динамическое управление рисками. Уникальность: **три уровня тейк-профита**, адаптивные настройки под разные таймфреймы, автоматический перевод стопа в безубыток после TP1.
---
### **Особенности**
1. **Мультитаймфрейм**: Индикаторы строятся на старшем ТФ (например, 1H) для фильтрации сигналов.
2. **Тренд**: Комбинация EMA, HMA, SMA.
3. **CCI + ADX**: CCI определяет перекупленность/перепроданность, ADX — силу тренда.
4. **ATR**: Стопы и тейки адаптируются к волатильности.
5. **Стоп в безубыток**: После TP1 стоп двигается к цене входа.
---
### **Настройка**
1. **Параметры**:
- **Режим**: LONG, SHORT или LONG/SHORT.
- **Таймфрейм индикаторов**: Выберите старший ТФ (например, 1H).
- **EMA/HMA/SMA**: Длины (по умолчанию: 100, 50, 200).
- **CCI**: Уровни перекупленности (+100)/перепроданности (-100).
- **ADX**: Порог силы тренда (26).
- **ATR**: Период (19), множители SL/TP.
2. **Объем позиции**:
- Указывайте в **контрактах**, а не в процентах. Рассчитывайте на основе риска на сделку.
3. **Мультитаймфрейм**:
- Пример: На 15-минутном графике используйте индикаторы с 1H.
---
### **Логика работы**
- **Вход**:
- **Лонг**: Цена выше EMA/HMA/SMA + CCI < -100 + ADX > 26.
- **Шорт**: Цена ниже EMA/HMA/SMA + CCI > +100 + ADX > 26.
- **Выход**:
- **SL**: 5x ATR от цены входа.
- **TP1**: 1x ATR. После TP1 стоп двигается в безубыток.
- **TP2/TP3**: 1.3x и 1.7x ATR.
---
### **Примеры настроек**
1. **Скальпинг (1-15M)**:
- EMA=50, HMA=20, CCI=3, SL=3x, TP1=0.8x.
2. **Свинг (1H-4H)**:
- SMA=200, ADX=20, SL=5x.
3. **Тренд (Daily)**:
- ADX=25, SL=6x, TP3=2x.
---
### **Как работает ADX**
ADX измеряет силу тренда. Значения выше 25 сигнализируют о сильном тренде. Стратегия избегает входов при ADX < 26.
---
### **Риски**
- **Исторические результаты не гарантируют будущие**.
- **Нет универсальных настроек**: Оптимизируйте под каждый актив (BTC vs. альты).
- Тестируйте на демо-счете.
- Рискуйте не более 1-5% на сделку.
---
### **FAQ**
**В: Почему объем в контрактах?**
О: Чтобы точно контролировать риск. Пример: если стоп = 50 пунктов, а риск = $100, объем = 100 / (стоп * стоимость контракта).
**В: Как работает стоп в безубыток?**
О: После закрытия 33% позиции (TP1), стоп переносится на цену входа, защищая оставшуюся позицию.
**В: Подходит для акций/форекс?**
О: Да, но перенастройте ATR/SL/TP под волатильность рынка.
---
**⚠️ Warning / Предупреждение**: Trading involves high risk. Always backtest and optimize strategies. Use stop-losses. / Торговля связана с риском. Всегда тестируйте стратегии. Используйте стоп-лоссы.
200/800 EMA Retest StrategyWe don't chase every EMA cross. We wait for the market to prove it's ready by pulling back to the 200 EMA — and then we strike, with smart risk control.
vusalfx v3 Nzd/Usd 1m(RR 1:3)Indicator Description (for NZD/USD 1-Minute Chart)
This indicator is designed for scalping on the NZD/USD currency pair using a 1-minute timeframe. It combines exponential moving averages and the Relative Strength Index (RSI) to generate potential trade signals with a defined risk-to-reward ratio.
Risk/Reward Ratio: 1:3 (Risking 1% to gain 3%)
Stop Loss: 1%
Take Profit: 3%
EMA 9 (Fast EMA): Displayed in orange
EMA 21 (Slow EMA): Displayed in blue
RSI: 14-period RSI for momentum confirmation
The strategy looks for trend continuation and momentum setups based on EMA crossovers and RSI confirmation, with strict risk management.
Supertrend Hombrok BotSupertrend Hombrok Bot – Automated Trading Strategy for Dynamic Market Conditions
This trading strategy script has been developed to operate automatically based on detailed market conditions. It combines the popular Supertrend indicator, RSI (Relative Strength Index), Volume, and ATR (Average True Range) to determine the best entry and exit points while maintaining proper risk management.
Key Features:
Supertrend as the Base: Uses the Supertrend indicator to identify the market's trend direction, generating buy signals when the market is in an uptrend and sell signals when in a downtrend.
RSI Filter: The RSI is used to determine overbought and oversold conditions, helping to avoid entries in extreme market conditions. Entries are avoided when RSI > 70 (overbought) and RSI < 30 (oversold), reducing the risk of false movements.
Volume Filter: The strategy checks if the trading volume is above the average multiplied by a user-defined factor. This ensures that only significant movements, with higher liquidity, are considered.
Candle Body Size: The strategy filters only candles with a body large enough relative to the ATR (Average True Range), ensuring that the price movements on the chart have sufficient strength.
Risk Management: The bot is configured to operate with an adjustable Risk/Reward Ratio (R:R). This means that for each trade, both Take Profit (TP) and Stop Loss (SL) are adjusted based on the market's volatility as measured by the ATR.
Automatic Entries and Exits: The script automatically executes entries based on the specified conditions and exits with predefined Stop Loss and Take Profit levels, ensuring risk is controlled for each trade.
How It Works:
Buy Condition: Triggered when the market is in an uptrend (Supertrend), the volume is above the adjusted average, the candle body is strong enough, and the RSI is below the overbought level.
Sell Condition: Triggered when the market is in a downtrend (Supertrend), the volume is above the adjusted average, the candle body is strong enough, and the RSI is above the oversold level.
Alerts:
Buy and Sell Alerts are configured with detailed information, including Stop Loss and Take Profit values, allowing the user to receive notifications when trading conditions are met.
Capital Management:
The capital per trade can be adjusted based on account size and risk profile.
Important Note:
Always test before trading with real capital: While the strategy has been designed based on solid technical analysis methods, always perform tests in real-time market conditions with demo accounts before applying the bot in live trading.
Disclaimer: This script is a tool to assist in the trading process and does not guarantee profit. Past performance is not indicative of future results, and the trader is always responsible for their investment decisions.
BusinessHut Stochastic Long/Short StrategyWhen the slow stochastics are below 20, 30, and 50, buy when the fast 9,3,3 stochastic crosses above 20.
Sell on the opposite.
Full‑Featured Multi‑Signal Strategy By Andi TanThis is my first strategy indicator, please try the backtest and use it, hopefully it will be useful
QQQ Scalping Strategy Ultra by TVMX1This strategy is built for high-precision scalping and day trading on ETFs like QQQ, SPY, NDX, or BTCUSD, optimized for 3-min, 5-min, and 15-min charts.
📌 Key Features:
✅ Multi-EMA Trend Detection (8, 13, 21 EMAs)
✅ MTF Confirmation: Ensures trend alignment with higher timeframes
✅ Dynamic ATR-Based TP/SL: Real-time profit targets and risk control
✅ BUY/SELL Labels: Clearly marked entry points on chart
✅ Volume Spike Filter: Filters out low-volume signals
✅ Session-Based Filtering: Trade only during Morning, Midday, or Close
✅ Color-Coded Bars: Instant visual of market structure
✅ Scalping-Proven Settings for QQQ, SPX, BTC, and NDX
⚙️ How It Works
✅ Buy Entry:
EMAs are stacked upward (trend confirmed)
RSI > 50
Bullish candle
Volume spike (if enabled)
Higher timeframe (e.g. 15min) confirms trend (optional)
Active session (e.g., Morning or All Day)
🟢 Signal is confirmed — the strategy enters a BUY trade with:
TP = Close + 1.8x ATR
SL = Close - 1.0x ATR
✅ Sell Entry:
EMAs stacked downward
RSI < 50
Bearish candle
Volume spike (if enabled)
MTF trend matches (optional)
Session filter matches
🔴 Enters SELL with visual labels, triangle markers, and TP/SL plotted.
🧠 Best Timeframes
3-min chart: aggressive scalping
5-min chart: fast, stable setups
15-min chart: clean day trading entries
📊 Trading Tips:
Use this during NYSE session for QQQ/SPY
Enable MTF Confirmation for trend-following trades
Combine with S/R zones for extra edge
Use in high-volume markets (QQQ, BTC, SPX)
🛡️ Disclaimer
This script is for educational purposes only and does not constitute financial advice. Always backtest before live trading.
📌 Copyright
© 2025 – All rights reserved
RDSP Investment Inc.
Created by: Palak Shah
Enhanced StrategyA trading indicator on the 5-minute frame that gives accurate buy and sell signals. You can execute buy and sell transactions based on the entry and exit times.
MÈGAS ALGO : MÈGAS STRATEGY Suite [STRATEGY]Overview
The MEGAS STRATEGY Suite is a premium collection of precision-crafted trading strategies, each specifically optimized for individual symbols, currency pairs, or financial instruments. Built with a focus on adaptability, transparency, and control, MEGAS STRATEGY empowers traders with intelligent automation, data-backed confidence, and a flexible alert system to support a wide range of trading styles.
Key Features
1. Symbol-Specific Optimization
Each strategy is tailored to the unique behavior of the selected trading instrument. This ensures that the underlying logic, filters, and risk parameters are aligned with the price dynamics of each symbol.
2. Monthly Performance Matrix
A detailed month-by-month performance table provides a clear breakdown of historical results. This allows traders to assess performance across various market conditions and gain full transparency into how the strategy adapts over time.
3. Customizable Insight Alerts
Traders can configure personalized alert messages for every strategy action, including entries, exits, and profit targets. These alerts are fully compatible with TradingView's webhook system, enabling seamless integration with third-party tools or custom automation workflows.
Advantages
Transparency: The performance matrix offers deep historical insight, helping users evaluate the strategy's consistency and behavior across multiple years.
Customization: Fully customizable alerts and flexible parameters allow traders to tailor the strategy to their personal trading objectives.
Ease of Use: A streamlined user interface makes it accessible for traders of all experience levels, with minimal setup required.
How It Works — Step by Step
Step 1: Apply the Strategy
Open the chart for your selected symbol and timeframe. Add the MEGAS STRATEGY to the chart.
Step 2: Initial Setup Prompt
A setup window will appear asking you to confirm:
The access password required to enable strategy parameters for the specific asset
The type of trading hours you wish to trade (regular or extended)
Your custom messages for entry and exit signals
After completing this configuration, click "Apply".
Step 3: Review Results and Alerts
Check the backtest results on the chart and confirm that the custom alert messages are displaying as expected. This helps verify that everything is functioning correctly before moving forward.
Step 4: Configure Portfolio Management (Optional)
Open the strategy settings window. In the dedicated portfolio management section, choose your preferred capital allocation method based on your trading style and risk preferences. Once set, save the configuration as default.
Step 5: Set Up Alerts
Click "Add Alert" on the strategy
-In the message field, use: {{strategy.order.comment}}
Under the Notifications tab:
-Enable Webhook URL
-Enter your webhook address provided by your automation or notification service
-Click "Create" to activate your alerts
Please Note:
This strategy suite is provided for informational and educational purposes only. It is not financial advice, and it should not be considered a recommendation to buy, sell, or trade any financial instrument. Trading involves significant risks, including the potential loss of your entire investment. Always conduct your own research and consult with a licensed financial advisor before making any trading decisions.
The results and images provided are based on algorithms and historical/paid real-time market data but do not guarantee future results or accuracy. Use this tool at your own risk, and understand that past performance is not indicative of future outcomes.
DOGE/USDT 1 DAY▶︎ STRATEGY
This invite‑only script combines three classic building blocks to capture short‑term swings on DOGE/USDT (1‑DAY):
1⃣ Ultra‑Fast EMA for immediate trend bias
2⃣ Momentum filter based on Rate‑of‑Change ; entries only when ROC confirms the EMA direction
3⃣ Dynamic risk layer using ATR . The script places the stop from entry and trails partial profits.
▶︎ BEST SETTINGS
Pair: DOGE/USDT Time‑frame: 1‑Day
Default commission = 0.10 % per side, slippage = 3 ticks.
Settings may be optimised for other pairs/exchanges.
▶︎ ACCESS
Click “Request access” or purchase any plan at
whop.com to receive auto‑access within minutes.
▶︎ DISCLAIMER
Past performance does not guarantee future results. Trade responsibly and size positions according to your own risk tolerance.
v1.0 – 18 Apr 2025
DOGE/USDT 1 HOUR▶︎ STRATEGY
This invite‑only script combines three classic building blocks to capture short‑term swings on DOGE/USDT (1-hour):
1⃣ Ultra‑Fast EMA for immediate trend bias
2⃣ Momentum filter based on Rate‑of‑Change ; entries only when ROC confirms the EMA direction
3⃣ Dynamic risk layer using . The script places the stop from entry and trails partial profit.
▶︎ BEST SETTINGS
Pair: DOGE/USDT Time‑frame: 1‑hour
Default commission = 0.10 % per side, slippage = 3 ticks.
Settings may be optimised for other pairs/exchanges.
▶︎ ACCESS
Click “Request access” or purchase any plan at
whop.com to receive auto‑access within minutes.
▶︎ DISCLAIMER
Past performance does not guarantee future results. Trade responsibly and size positions according to your own risk tolerance.
v1.0 – 18 Apr 2025
Vinicius Setup ATR
Description:
This script is a strategy based on the Supertrend indicator combined with volume analysis, candle strength, and RSI. Its goal is to identify potential entry points for buy and sell trades based on technical criteria, without promising profitability or guaranteed results.
Script Components:
Supertrend: Used as the main trend compass. When the trend is positive (direction = 1), buy signals are considered; when negative (direction = -1), sell signals are considered.
Volume: Entries are only validated if the volume is above the average of the last 20 candles, adjusted with a 1.2 multiplier.
Candle Body: The candle body must be larger than a certain percentage of the ATR, ensuring sufficient strength and volatility.
RSI: Used as a filter to avoid trades in extreme overbought or oversold zones.
Support and Resistance: Identified based on simple pivots (5 periods before and after).
Customizable Parameters:
ATR Length and Multiplier: Controls the sensitivity of the Supertrend.
RSI Period: Adjusts the relative strength filter.
Minimum Volume and Candle Body: Settings to validate entry signals.
Entry Conditions:
Buy: Positive trend + strong candle + high volume + RSI below 70.
Sell: Negative trend + strong candle + high volume + RSI above 30.
Exit Conditions:
The trade is closed upon the appearance of an opposite signal.
Notes:
This is a technical system with no profit guarantees.
It is recommended to test with realistic capital values and parameters suited to your risk management.
The script is not optimized for specific profitability, but rather to support study and the construction of setups with objective criteria.
DOGE/USDT 15 MİN▶︎ STRATEGY
This invite‑only script combines three classic building blocks to capture short‑term swings on DOGE/USDT (15‑min):
1⃣ Ultra‑Fast EMA for immediate trend bias
2⃣ Momentum filter based on Rate‑of‑Change; entries only when ROC confirms the EMA direction
3⃣ Dynamic risk layer using ATR. The script places the stop from entry and trails partial profits.
▶︎ BEST SETTINGS
Pair: DOGE/USDT Time‑frame: 15‑minute
Default commission = 0.10 % per side, slippage = 3 ticks.
Settings may be optimised for other pairs/exchanges.
▶︎ ACCESS
Click “Request access” or purchase any plan at
whop.com to receive auto‑access within minutes.
▶︎ DISCLAIMER
Past performance does not guarantee future results. Trade responsibly and size positions according to your own risk tolerance.
v1.0 – 18 Apr 2025
MACD EMA PSAR Strategy with ADX Filter & AlertsThis strategy apply for FCPO
using EMA 20 + 50 to judge the trend
and only trade while ADX above 25
furthermore, the macd must be positive to trade long and negative to trade short
