Trade ManagerDescription
This script is a trade‑management system designed for both automated and manual trading workflows.
It combines VWRSI‑based signals, customizable price levels, safety orders, take‑profit logic, and optional MA‑trend filtering.
Key features:
Automated entries based on VWRSI
Manual LONG/SHORT level entries
Priority‑based entry logic (first condition triggers the trade)
Safety order scaling (volume and step multipliers)
Take‑profit targets for both LONG and SHORT positions
Breakeven logic with adjustable thresholds
Optional MA‑trend filter
Mini‑table showing position metrics
Base order labels and lot‑precision control
How it works:
If multiple entry modes are enabled, the script opens a position based on the first condition reached.
After entering a trade, the position can be averaged using safety orders and closed at the configured profit target.
Notes:
This script is for educational purposes and does not guarantee profits.
Always test on historical data and understand the risks before using it in live trading.
Chỉ báo và chiến lược
BB Upper breakout Short +2% (dr Ziuber)A short position is opened when the price on the 1-hour chart exceeds the Bollinger Bands by more than 2%. The position is closed when the profit reaches 2%.
Swing Failure Pattern Strategy Btc Only 5min🔍 Overview
The Swing Failure Pattern (SFP) Strategy is a pure price-action trading system designed to capture liquidity sweeps and market reversals around key swing highs and lows.
It is based on the concept that price often briefly breaks a swing level to trigger stop-losses, then reverses in the opposite direction.
This strategy trades only confirmed SFP setups, ensuring disciplined entries with clearly defined risk.
📈 Bullish SFP (Long Setup)
A Bullish Swing Failure Pattern forms when:
A valid swing low is created
Price wicks below the swing low
The candle closes back above the swing level
Confirmation occurs when price closes above the opposing high
➡️ Action: Enter LONG on the confirmation candle close
📉 Bearish SFP (Short Setup)
A Bearish Swing Failure Pattern forms when:
A valid swing high is created
Price wicks above the swing high
The candle closes back below the swing level
Confirmation occurs when price closes below the opposing low
➡️ Action: Enter SHORT on the confirmation candle close
🛑 Risk Management
Stop Loss
Long → Low of the SFP wick
Short → High of the SFP wick
Take Profit
Fixed Risk : Reward = 1 : 2
All SL and TP levels are fixed at entry (no repainting)
🔁 Trailing Take Profit (Optional)
Trailing TP can be enabled from settings
Trailing starts after 1R profit
Trail distance is R-based and fully adjustable
Works for both long and short trades
⏰ Time Filters
Optional No-Trade on Saturday & Sunday
Prevents new entries during weekends
Active trades continue to manage SL & TP normally
⚙️ Strategy Features
Price-action based (no indicators)
Confirmation-only entries
No repainting logic
Works on all markets and timeframes
Orders executed on candle close
🎯 Best Use Cases
Forex
Indices
Crypto
Futures
Best performance during London & New York sessions
⚠️ Disclaimer
This strategy is intended for educational and backtesting purposes only.
Always test and manage risk appropriately before live trading.
TSLA Mechanical Day Trading Strategy📌 How to Use This
Apply to TSLA
Recommended timeframe: 1-minute or 5-minute
Session: Regular Trading Hours (9:30–16:00 NY time)
Designed for day trading only (no overnight holds)
⚙️ Strategy Logic (Mechanical Rules)
1️⃣ Opening Momentum Pullback
Gap ≥ ±0.5% vs prior close
Trade only after 9:45
Pullback toward VWAP
Enter in direction of gap
2️⃣ VWAP Mean Reversion
Price deviates from VWAP by ≥ 0.3%
Enters counter-move back toward VWAP
3️⃣ Risk Management
Fixed % stop loss
Fixed % take profit
Flat before close
Secuencia estricta (pendiente) HMA->RSI BB"The code combines a 100-period HMA as the first condition, and an RSI smoothed by a Bollinger Band set to default parameters of 24 and 1 standard deviation. The first condition is that the price is above or below the HMA. The second condition is that the RSI moves above or below the Bollinger Bands. Depending on how the conditions align, the system takes either a short or a long position."
Konigs | Bollinger Band Mean Reversion (Session Filter)Core Idea:
In sideways markets, price tends to revert to the mean (the middle band).
Strategy:
Buy when price touches or moves below the lower band.
Sell when price reaches or exceeds the upper band.
Exit at the middle band (20-period moving average).
Confirm with: RSI/Stochastic or candle patterns for reversal at the bands.
Only works with low-volatility instruments:
EURCHF
Filter certain time to avoid unexpected volatility
VIX Crossing# VIX Crossing Strategy
## Overview
VIX Crossing is a quantitative trading strategy that combines volatility signals from the VIX index with trend confirmation from the Nasdaq-100 (NDX) to generate long entry signals. The strategy employs multiple exit conditions to manage risk and lock in profits systematically.
## Strategy Logic
### Entry Condition
The strategy initiates a long position when:
- **VIX Crossunder**: The VIX closing price crosses below its 5-bar simple moving average (SMA), signaling a decrease in implied volatility
- **AND NDX Confirmation**: The Nasdaq-100 closes above its 21-bar exponential moving average (EMA), confirming uptrend strength
This dual-signal approach reduces false entries by requiring both volatility normalization and positive market momentum.
### Exit Conditions
The strategy automatically closes positions when any of the following conditions are met:
1. **VIX Crossover (Volatility Exit)**: VIX closes above its SMA, indicating rising volatility
2. **Time-Based Exit**: Position is force-closed after 10 bars from entry, preventing prolonged drawdowns
3. **Take-Profit Exit**: Position closes when unrealized profit exceeds $3,000 per contract
4. **Stop-Loss Exit**: Position closes when unrealized loss exceeds $1,500 per contract
Exit conditions are evaluated each bar while the position is open, with explicit logging of the exit reason for trade analysis.
## Configuration Parameters
| Parameter | Default | Purpose |
|-----------|---------|---------|
| VIX SMA Length | 5 | Smoothing period for VIX volatility baseline |
| NDX EMA Length | 21 | Smoothing period for Nasdaq-100 trend confirmation |
| Force Close After X Bars | 10 | Maximum holding period in bars |
| TP Amount per Contract | $3,000 | Profit target per contract |
| SL Amount per Contract | $1,500 | Loss limit per contract |
## Risk Management Features
- **Position Sizing**: Capital allocation based on profit/loss per contract rather than fixed units, allowing for scalable risk
- **Dual Risk Controls**: Combined time-based and price-based exits prevent extended exposure
- **Profit Asymmetry**: 2:1 profit-to-loss ratio encourages risk/reward discipline
- **Contract-Based Accounting**: Profit targets and stop losses scale with position size
## Capital Requirements
- **Initial Capital**: $50,000
- **Commission**: $3 per contract (cash-based)
- **Instrument**: Designed for index-based derivatives or equities with liquid options markets
## Technical Indicators Used
- Simple Moving Average (SMA) for VIX smoothing
- Exponential Moving Average (EMA) for NDX trend detection
- Crossover/Crossunder detection for signal generation
## Underlying Assumptions
1. VIX crossunder events represent mean-reversion opportunities in Nasdaq-heavy portfolios
2. NDX EMA confirmation filters out uncorrelated volatility spikes
3. 10-bar holding period aligns with typical mean-reversion timeframes
4. Contract-based profit targets accommodate varying leverage levels
Anhnga4.0 - Filter ToggleINPUTS:
1.5 0.8 (OR 1.6 0.5/0.6)
BE=0.45
1
MAs: 35 135
7
This Pine Script code defines a trading strategy named **"Anhnga4.0 - Filter Toggle"**. It is a trend-following strategy that uses momentum oscillators and moving averages to identify entries, while featuring a specific "Overextension Filter" to avoid buying at the top or selling at the bottom.
Here is a breakdown of how the script works:
---
## 1. Core Trading Logic (The Entry)
The strategy looks for a "perfect storm" of three factors before entering a trade:
* **Momentum (WaveTrend):** It uses the WaveTrend oscillator (`wt1` and `wt2`).
* **Long:** A bullish crossover happens while the oscillator is below the zero line (oversold).
* **Short:** A bearish crossunder happens while the oscillator is above the zero line (overbought).
* **Trend Confirmation:** The price must be on the "correct" side of three different lines: the 20-period Moving Average (BB Basis), the 50-period SMA, and the 200-period SMA.
* **The Window:** You don't have to enter exactly on the cross. The `Signal Window` allows the trade to trigger up to 4 bars after the momentum cross, provided the trend filters align.
## 2. The "Overextension" Filter
This is a unique feature of this script. It calculates the distance between the current price and the **50-period Moving Average**.
* If the price is too far away from the MA (defined by the **ATR Limit**), the script assumes the move is "exhausted."
* If `Enable Overextension Filter?` is on, the strategy will skip these trades to avoid "chasing the pump."
* **Visual Cue:** The chart background turns **purple** when the price is considered overextended.
---
## 3. Risk Management & Exit Strategy
The script manages trades dynamically using Bollinger Bands and Risk:Reward ratios:
| Feature | Description |
| --- | --- |
| **Stop Loss (SL)** | Set at the **Lower Bollinger Band** for Longs and **Upper Band** for Shorts. |
| **Take Profit (TP)** | Calculated based on your **RR Ratio** (default is 2.0). If your risk is $10, it sets the target at $20 profit. |
| **Breakeven** | A "protection" feature. Once the price moves in your favor by a certain amount (the `Breakeven Trigger`), the script moves the Stop Loss to your entry price to ensure a "risk-free" trade. |
---
## 4. Visual Elements on the Chart
* **Green Lines:** Your target price (TP).
* **Red Lines:** Your initial Stop Loss.
* **Yellow Lines:** Indicates the Stop Loss has been moved to **Breakeven**.
* **Purple Background:** High alert—price is overextended; trades are likely being filtered out.
---
## Summary of Settings
* **BB Multiplier:** Controls how wide your initial stop loss is.
* **ATR Limit:** Controls how sensitive the "Overextension" filter is (higher = more trades allowed; lower = stricter filtering).
* **Breakeven Trigger:** Set to 1.0 by default, meaning once you are "1R" (profit equals initial risk) in profit, the stop moves to entry.
DkS Market Structure Breakout Strategy Crypto & ForexDkS Market Structure Breakout Strategy Crypto & Forex
🔍 Overview
DkSPro – Universal Market Analysis is a structure-based trading strategy designed for Crypto and Forex markets, focused on trend alignment, breakout confirmation, and volume validation.
This strategy is built to filter low-quality trades, avoid ranging conditions, and reduce false breakouts by requiring multiple layers of confirmation before any trade is executed.
It is intended for scalping and intraday trading, prioritizing consistency and risk control over trade frequency.
🧠 Strategy Logic (How It Works)
DkSPro follows a sequential decision process, not a single-indicator signal:
Trend Bias (EMA Structure)
A fast and slow EMA define the directional bias.
Long trades are only allowed during bullish EMA alignment.
Short trades are only allowed during bearish EMA alignment.
This prevents counter-trend and ranging-market entries.
Market Structure & Breakout Validation
The strategy identifies recent swing highs and lows.
Trades are triggered only after a confirmed breakout of structure, not during consolidation.
This avoids early entries and false momentum moves.
Volume Confirmation
Volume must exceed its moving average by a defined multiplier.
This ensures participation and filters out low-liquidity breakouts.
Volume thresholds adapt depending on the selected trading mode.
Momentum Confirmation (RSI)
RSI is used strictly as a momentum filter, not as a standalone signal.
It confirms that price movement aligns with the breakout direction.
Risk Management (Mandatory)
Every position includes a predefined Stop Loss and Take Profit.
Position sizing is based on a fixed percentage of equity, keeping risk per trade within sustainable limits.
All conditions must align simultaneously; otherwise, no trade is executed.
⚙️ Trading Modes
SAFE Mode
Stronger volume and RSI thresholds
Fewer trades, higher selectivity
Designed for risk control and consistency
AGGRESSIVE Mode
Slightly relaxed filters
Higher trade frequency during strong momentum
Intended for experienced users only
📊 Markets & Assets
This strategy has been actively used and tested on:
🟢 Crypto (Binance / Binance.US)
SOL-USDT
XRP-USDT
Other high-liquidity pairs (BTC, ETH)
Crypto mode benefits from stronger volume confirmation to adapt to higher volatility.
🔵 Forex
Major pairs such as EURUSD, GBPUSD, USDJPY
Optimized for liquid markets with lower relative volume
The same structural logic applies to both markets, with volume behavior naturally adapting to each asset class.
⏱ Recommended Timeframes
Crypto: 5m – 15m
Forex: 15m – 1H
Lower timeframes (1m) are not recommended due to noise and unreliable volume behavior.
🧪 Backtesting & Settings Transparency
Default strategy properties are intentionally conservative to reflect realistic conditions:
Initial capital: $20,000
Position size: 2% of equity
Commission: 0.08%
Slippage: 1 tick
Fixed Stop Loss and Take Profit on every trade
Backtests should be performed on sufficient historical data (ideally 6–12 months) to ensure a statistically meaningful sample size (100+ trades).
📈 Originality & Usefulness
DkSPro is not a simple indicator mashup.
Each component serves a specific role in a layered confirmation system:
EMAs define direction
Structure defines timing
Volume validates participation
RSI confirms momentum
Risk management controls exposure
Removing any layer significantly reduces signal quality. The strategy is designed as a complete decision framework, not a signal generator.
⚠️ Important Notes
This script is an analysis and execution tool, not financial advice.
Market conditions change, and no strategy performs well in all environments.
Users are encouraged to backtest, forward test, and adjust position sizing according to their own risk tolerance.
🧩 Version Notice
This publication represents a consolidated and refined version of an internal experimental script.
No parallel or duplicate versions are intended.
All future improvements will be released exclusively using TradingView’s Update feature.
🇪🇸 Descripción en Español (Resumen)
DkSPro es una estrategia basada en estructura de mercado, diseñada para Crypto y Forex, que combina tendencia, ruptura de estructura, volumen y control de riesgo.
Solo opera cuando todas las condiciones se alinean, evitando rangos, falsas rupturas y sobreoperar.
Ha sido utilizada en Binance con pares como SOL-USDT y XRP-USDT, así como en Forex, siempre con gestión de riesgo fija y condiciones realistas.
DayTradeMind Combined High Win Rate StrategyThe DayTradeMind Combined High Win Rate Strategy is a trend-following system that relies on confluence—the idea that a trade signal is stronger when multiple independent indicators agree. Instead of entering on a single indicator's whim, it uses a "voting" system to qualify entries and a strict risk-to-reward ratio to manage exits.Here is a breakdown of the three main layers of this strategy:1. The Voting Engine (Confluence Model)The strategy tracks four indicators and assigns a "point" for a bullish or bearish bias. It requires a minimum number of points (set by minConfirmations, usually 2/4) before it even considers a trade.IndicatorBullish Condition (1 point)Bearish Condition (1 point)PurposeMACDMACD Line > Signal LineMACD Line < Signal LineMeasures short-term momentum.DonchianPrice > 20-period MedianPrice < 20-period MedianIdentifies price relative to recent range.SuperTrendPrice above trend linePrice below trend lineFilters for the "Macro" trend direction.%B (Bollinger)Price in lower-mid range (0.2–0.5)Price in upper-mid range (0.5–0.8)Prevents buying when overextended.2. The Entry TriggerHaving enough "votes" (confirmations) isn't enough to enter. The strategy waits for a trigger event to ensure you aren't entering a stale trend. An entry only occurs if the minimum confirmations are met AND one of the following happens on the current bar:MACD Cross: The MACD line crosses over the signal line.Structural Break: The price crosses over the Donchian Middle (Median) line.This "Confirmation + Trigger" approach is designed to catch the start of a momentum push rather than buying a flat market.3. Mathematical Risk ManagementThe performance you see in your backtest (like the 46.86% return) is largely driven by the 2:1 Reward-to-Risk (RR) Ratio.Stop Loss (SL): Fixed at 2% below entry.Take Profit (TP): Fixed at 4% above entry.By aiming for a target twice as large as the risk, the strategy can remain profitable even with a win rate as low as 35%–40%. Mathematically, your winning trades compensate for more than two losing trades.Visualizing the SystemTriangles: Small green (up) and red (down) triangles appear on your chart only when the Votes + Trigger align perfectly.Background Shading: Faint green or red bands show you exactly when the "Confluence" is active. If the background is gray, the indicators are in conflict.Dashboard: The table in the top-right summarizes the current "score" for each indicator, letting you know how close you are to a potential trade signal.
Session Liquidity Sweep + Trend ConfirmationThis strategy aims to capture high-probability intraday trades by combining liquidity sweeps with a trend confirmation filter. It is designed for traders who want a systematic approach to trade breakouts during specific market sessions while controlling risk with ATR-based stops.
How it Works:
Session Filter: Trades are only considered during a defined session (default 9:30 - 11:00). This helps avoid low-volume periods that can lead to false signals.
Trend Confirmation: The strategy uses a 50-period EMA to identify the market trend. Long trades are only taken in an uptrend, and short trades in a downtrend.
Liquidity Sweep Detection:
A long entry occurs when price dips below the prior N-bar low but closes back above it, indicating a potential liquidity sweep that stops being triggered before the trend continues upward.
A short entry occurs when price spikes above the prior N-bar high but closes below it, signaling a potential sweep of stops before the downward trend resumes.
ATR-Based Risk Management:
Stop loss is calculated using the Average True Range (ATR) multiplied by a configurable factor (default 1.5).
Take profit is set based on a risk-reward ratio (default 2.5x).
Position Sizing: Default position size is 5% of equity per trade, making it suitable for risk-conscious trading.
Inputs:
Session Start/End (HHMM)
Liquidity Lookback Period (number of bars to define prior high/low)
ATR Length for stop calculation
ATR Stop Multiplier
Risk-Reward Ratio
EMA Trend Filter Length
Visuals:
Prior Liquidity High (red)
Prior Liquidity Low (green)
EMA Trend (blue)
Why Use This Strategy:
Captures stop-hunt moves often triggered by larger market participants.
Only trades with trend confirmation, reducing false signals.
Provides automatic ATR-based stop loss and take profit for consistent risk management.
Easy to adjust session time, ATR, EMA length, and risk-reward to suit your trading style.
Important Notes:
Assumes 0.05% commission and 1-pip slippage. Adjust according to your broker.
Not financial advice; intended for educational, backtesting, or paper trading purposes.
Always test strategies thoroughly before applying to live accounts.
ezzy Golden Cross mit Target und StopA simple crossover system based on SMA 50 and SMA 200 including percentage target and stop loss.
ezzy_goldencross This strategy is a simple crossover trading strategy using SMA 50 and SMA 200 (long only). I also implemented a percentage profit target and stop loss.
High Probability Trend Continuation (1:5 RR)this strategy is based on a high-probability trend continuation pattern, one of the most frequently occurring setups in financial markets. It uses EMA trend alignment to identify strong bullish or bearish conditions and waits for a controlled pullback before entering a trade in the direction of the trend.
Risk management is fully automated using ATR-based stop losses, ensuring the strategy adapts to market volatility. Each trade is executed with a fixed 1:5 risk-to-reward ratio, allowing profitability even with a modest win rate.
The strategy is designed to work across multiple markets and timeframes, including forex, stocks, indices, and crypto, making it suitable for both intraday and swing trading.
BTC 4H v5.5 Breakout - Retest (Perp) + Anti-Chop + Riskmy sdfgsdgsdg
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Multi-Indicator Trend-Following Strategy 1-minute Gold strategyTrend following using many indicators to provide accurate buy and sell signals on the 1-minute gold chart
ORB Breakout Strategy📊 Overview
📈 Systematic intraday Opening Range Breakout (ORB) strategy
🧭 Designed for index CFDs (e.g. US500)
⏱️ Optimized for 5-minute charts during regular trading hours
🛡️ Strict risk management and position sizing
🚦 Maximum one trade per day
💡 Core Idea
🌅 The market establishes a key price range shortly after the open
🚀 A confirmed breakout from this opening range can signal directional momentum
🎯 The strategy trades only confirmed breakouts with predefined risk
📐 Opening Range Definition
⏰ Opening range is defined between 09:30 and 09:45 (exchange time)
🕯️ Uses the first three 5-minute candles of the session
⬆️ Opening Range High is the highest high of those candles
⬇️ Opening Range Low is the lowest low of those candles
🟢 Long Trade
📊 A 5-minute candle closes above the Opening Range High
🟩 A Fair Value Gap (FVG) exists relative to the candle 10 minutes earlier
🧲 A buy limit order is placed at the Opening Range High
🔴 Short Trade
📉 A 5-minute candle closes below the Opening Range Low
🟥 A Fair Value Gap (FVG) exists relative to the candle 10 minutes earlier
🧲 A sell limit order is placed at the Opening Range Low
🛑 Stop Loss
📉 Long trades use the low of the candle 10 minutes before the breakout
📈 Short trades use the high of the candle 10 minutes before the breakdown
🎯 Take Profit
⚖️ Fixed reward-to-risk ratio of 2:1
📏 Take profit distance equals two times the stop loss distance
💰 Position Sizing
💵 Fixed dollar risk per trade (default: $2,000)
📐 Position size is calculated dynamically based on stop loss distance
🔁 Risk remains consistent across changing volatility conditions
⏳ Trade Management Rules
🚦 Maximum one trade per day, including same-bar entries and exits
🕛 No new entries after 12:00 (exchange time)
⏰ All open positions are closed at 15:50
❌ Pending orders are cancelled after the entry cutoff or at session end
⚙️ Execution & Costs
💸 Commission model can be configured in the strategy settings
🧪 Backtests use TradingView Strategy Tester mechanics
📝 Notes
📚 This is a rules-based trading strategy, not a signal service
🔍 Results depend on instrument, broker feed, spreads, and commissions
🧠 Forward testing is strongly recommended before live trading
⚠️ Disclaimer
📖 This script is provided for educational and research purposes only
🚫 It does not constitute financial advice
🔥 Trading leveraged instruments involves significant risk
Gold Futures Prop-Firm Strategy (GC) 1-18-2026Overview
This is a long-only, session-based, multi-regime trading strategy designed specifically for Gold futures (GC / GC1!) on intraday timeframes (typically 5–15 minutes).
The strategy aims to capture high-probability moves during the New York and Asian sessions while avoiding major economic news events and enforcing strict daily risk limits — making it suitable for prop firm challenges (e.g. FTMO, FundedNext, Apex, etc.) that require consistent profitability, limited drawdown, and disciplined risk management.
Core Philosophy
Trade longs only (shorts were removed after analysis showed they were consistently unprofitable)
Different logic depending on session and market regime (trending vs ranging)
Heavy filtering using trend strength (ADX), volume confirmation, EMA alignment, Bollinger Bands, and RSI
Strict position sizing, daily loss cap, per-session trade limits, and news blackout periods
Trailing stop mechanism to let winners run while protecting against reversals
Trading Sessions & Time Windows (Eastern Time)
NY Session: 08:30 – 15:00 ET
NY AM (trend/breakout zone): 08:30 – 11:30 ET
NY PM (mean-reversion zone): 11:30 – 15:00 ET
Asia Session (mean-reversion zone): 18:00 – 02:00 ET
News blackouts: short windows around high-impact releases (CPI/NFP, ISM/Fed, FOMC)
Entry Logic (Long Only)
NY AM – Trend Following & Breakouts (strongest trend filter)
ADX > 30 (strong trend)
Price above 200 EMA (bull regime)
Fast EMA (21) crosses above Slow EMA (55) or breakout above 20-bar high
Volume spike (> 1.4 × 20-period SMA)
Max 2 trades per NY session per day
NY PM & Asia – Mean Reversion
ADX ≤ 30 (ranging market)
Price below lower Bollinger Band (20, 2.0)
RSI < 25 (deep oversold)
No volume filter required here
Max 2 trades per Asia session per day
Risk Management Rules
Position size: Fixed 1–2 contracts (user selectable)
Initial stop: 1.7 × ATR(14) below entry (tightened from original)
Trailing stop:
Activates after price moves +1.0 × ATR in profit
Trails by 1.0 × ATR (locked-in profits aggressively)
Daily loss limit: -$600 (stops all trading for the day once hit)
No trading during defined news windows
Pyramiding disabled (only one position at a time)
No short entries (removed after backtest analysis)
Indicators Used
EMA 21 / 55 / 200 (trend direction & filter)
ATR(14) × 0.85 (volatility base)
ADX(14) threshold 30 (strong trend confirmation)
Bollinger Bands (20, 2.0) for mean-reversion entries
RSI(14) with oversold < 25
Volume spike filter (1.4× SMA) for trend/breakout entries
20-bar highest high / lowest low for breakout detection
Visual Elements on Chart
Fast (blue), Slow (orange), and Filter (red) EMAs
Bollinger Bands (gray, semi-transparent fill)
Background coloring:
Red tint during news blackout periods
Purple tint when daily loss limit is hit
Intended Use Case
Prop trading firm evaluation accounts
Conservative intraday gold trading
Focus on high-quality long setups in trending (NY AM) and mean-reverting (Asia/PM) environments
Goal: positive expectancy with controlled drawdown, suitable for passing drawdown and profit targets
BTCUSD 1D Trend Strategy [Gemini]1Dchart
100% of equity per trade
0.1% commission
1 tick slippage
please convert this indicator to a trading strategy as you see fit
find attached the date of the chart and the indicator on BTCUSD 1D chart so you can make a better decision when to buy and sell
avoid forward looking and repainting at all costs.
Don't add tables to the chart
don't ever use line breaks in function calls:
long only
2018-2069
1D chart
100% of
Axis-Pro System | Trend Structure + Fibonacci Pullbacks Axis-Pro System is a comprehensive Trend Following strategy designed to trade high-probability pullbacks. Unlike indicators that merely chase price, this system patiently waits for market structure alignment before seeking an entry.
The system is built on the premise of "Quality over Quantity", utilizing volatility and structure filters to avoid choppy markets (ranges) and false breakouts.
🧠 Strategy Logic
The system makes decisions based on a strict 4-step hierarchy:
Higher Timeframe (HTF) Bias:
Analyzes the trend on a higher timeframe to ensure we are trading in the direction of the dominant flow.
Structure & BOS (Break of Structure):
Identifies clear impulses that break previous highs or lows. Once a BOS is confirmed, the system "arms" the trade and waits.
Fibonacci Zone Pullback:
It does not chase the breakout. Instead, it waits for a pullback into the "Discount Zone" (Golden Zone, configurable between 0.382 and 0.618) to improve the Risk/Reward ratio.
Validation & Trigger:
Uses an ATR expansion check to filter out low-volatility periods.
Requires candle confirmation and alignment with fast EMAs before pulling the trigger.
🛡️ Risk Management
The system incorporates advanced position management using a split execution model (50/50):
Dynamic Stop Loss: Automatically calculated using an ATR multiplier or the recent Swing High/Low (whichever offers better protection).
TP1 (Take Profit 1): Closes 50% of the position at a fixed R-multiple (e.g., 1.5R) to lock in profit and moves the Stop Loss to Break-Even.
TP2 (Runner): The remaining 50% is left to run for higher targets (e.g., 3.0R) or until the trend bends, maximizing gains during strong moves.
Trailing Stop: Optional feature to trail price with a fast EMA once the first target is hit.
⚙️ Settings & Features
The script is highly customizable for different assets (Crypto, Forex, Indices):
Date Range Filter: Includes a date selector to perform precise Backtesting on specific periods (e.g., testing specifically during a Bear Market vs. Bull Market).
Auto Trendlines: Automatically draws relevant trendlines for visual support.
Quality Filters: Options to toggle the EMA 200 filter and breakout buffers.
⚠️ Disclaimer
This strategy is a tool for analysis and backtesting purposes. Past performance does not guarantee future results. It is highly recommended to test the strategy on a Demo account first and adjust parameters according to the volatility of the specific asset being traded. Always use responsible risk management.
MFI/RSI Divergence Lower하단 지표 구성 및 활용법
MFI (Aqua Line): 거래량이 가중된 자금 흐름입니다. 지지선 근처에서 이 선이 저점을 높이면(다이버전스) 강력한 매수 신호입니다.
RSI (Yellow Line): 가격의 상대적 강도입니다. MFI와 함께 움직임을 비교하여 보조적으로 활용합니다.
리페인팅 방지 핵심: offset=-lb_r 설정을 통해, 지표가 확정되는 시점(피벗 완성 시점)에 정확히 신호가 표시되도록 구현했습니다. 이는 과거 백테스트 결과와 실시간 매매 결과가 일치하도록 보장합니다.
실전 응용
지지/저항 필터: 이 지표 단독으로 사용하기보다, 차트 상의 주요 지지선에 가격이 위치했을 때 발생하는 BULL DIV 신호만 골라 매수하면 승률이 극대화됩니다.
손절/익절 최적화: 현재 1.5% 손절, 3% 익절로 설정되어 있습니다. 종목의 변동성(ATR)에 따라 group_risk에서 수치를 조정하며 최적의 수익 곡선을 찾아보십시오.
//@version=6
strategy("Hybrid MFI/RSI Divergence Lower",
overlay=false, // 하단 지표 설정을 위해 false
initial_capital=10000,
default_qty_type=strategy.percent_of_equity,
default_qty_value=10,
commission_type=strategy.commission.percent,
commission_value=0.05,
slippage=1)
// --- ---
group_date = "1. 백테스트 기간"
start_time = input.time(timestamp("2024-01-01 00:00:00"), "시작일", group=group_date)
end_time = input.time(timestamp("2026-12-31 23:59:59"), "종료일", group=group_date)
within_window() => time >= start_time and time <= end_time
group_osc = "2. 오실레이터 설정"
mfi_len = input.int(14, "MFI 기간", group=group_osc)
rsi_len = input.int(14, "RSI 기간", group=group_osc)
ob_level = input.int(80, "과매수 기준", group=group_osc)
os_level = input.int(20, "과매도 기준", group=group_osc)
group_div = "3. 다이버전스 감도"
lb_l = input.int(5, "피벗 왼쪽 범위", group=group_div)
lb_r = input.int(5, "피벗 오른쪽 범위", group=group_div)
group_risk = "4. 리스크 관리"
tp_pct = input.float(3.0, "익절 (%)", step=0.1, group=group_risk) / 100
sl_pct = input.float(1.5, "손절 (%)", step=0.1, group=group_risk) / 100
// --- ---
mfi_val = ta.mfi(close, mfi_len)
rsi_val = ta.rsi(close, rsi_len)
avg_val = (mfi_val + rsi_val) / 2 // MFI와 RSI의 평균값으로 부드러운 흐름 파악
// --- ---
// 저점 피벗 탐지 (MFI 기준)
pl = ta.pivotlow(mfi_val, lb_l, lb_r)
ph = ta.pivothigh(mfi_val, lb_l, lb_r)
// Bullish Divergence (상승 다이버전스)
var float last_pl_mfi = na
var float last_pl_price = na
bool is_bull_div = false
if not na(pl)
last_pl_mfi := mfi_val
last_pl_price := low
// 이전 저점 탐색
float prev_pl_mfi = ta.valuewhen(not na(pl), mfi_val , 1)
float prev_pl_price = ta.valuewhen(not na(pl), low , 1)
if low < prev_pl_price and mfi_val > prev_pl_mfi
is_bull_div := true
// Bearish Divergence (하락 다이버전스)
var float last_ph_mfi = na
var float last_ph_price = na
bool is_bear_div = false
if not na(ph)
last_ph_mfi := mfi_val
last_ph_price := high
float prev_ph_mfi = ta.valuewhen(not na(ph), mfi_val , 1)
float prev_ph_price = ta.valuewhen(not na(ph), high , 1)
if high > prev_ph_price and mfi_val < prev_ph_mfi
is_bear_div := true
// --- ---
if within_window()
if is_bull_div
strategy.entry("Bull", strategy.long, comment="Bull Div")
if is_bear_div
strategy.entry("Bear", strategy.short, comment="Bear Div")
strategy.exit("ExB", "Bull", limit=strategy.position_avg_price * (1 + tp_pct), stop=strategy.position_avg_price * (1 - sl_pct))
strategy.exit("ExS", "Bear", limit=strategy.position_avg_price * (1 - tp_pct), stop=strategy.position_avg_price * (1 + sl_pct))
// --- ---
// 배경 레이아웃
hline(ob_level, "Overbought", color=color.new(color.red, 50), linestyle=hline.style_dashed)
hline(50, "Middle", color=color.new(color.gray, 70))
hline(os_level, "Oversold", color=color.new(color.green, 50), linestyle=hline.style_dashed)
// 메인 지표 플롯
plot(mfi_val, "MFI (Money Flow)", color=color.new(color.aqua, 0), linewidth=2)
plot(rsi_val, "RSI (Momentum)", color=color.new(color.yellow, 50), linewidth=1)
// 다이버전스 발생 시 하단 지표 영역에 선 그리기
plotshape(is_bull_div ? mfi_val : na, "Bull Div Circle", shape.circle, location.absolute, color.green, size=size.tiny, offset=-lb_r)
plotshape(is_bear_div ? mfi_val : na, "Bear Div Circle", shape.circle, location.absolute, color.red, size=size.tiny, offset=-lb_r)
// 과매수/과매도 배경색
fill(hline(ob_level), hline(100), color.new(color.red, 90))
fill(hline(0), hline(os_level), color.new(color.green, 90))
MFI-RSI Convergence Strategy거래량(Volume)과 가격 모멘텀을 동시에 고려하는 **MFI(Money Flow Index)**는 지지선에서의 '진짜 반등'을 포착하는 데 가장 강력한 도구입니다. 여기에 RSI를 결합하여 모멘텀의 강도까지 확인하는 'Hybrid Volume-Momentum Oscillator' 전략을 작성해 드립니다.
하이브리드 지표의 핵심 메커니즘
MFI(Money Flow Index)의 역할:
MFI는 단순히 가격이 낮아졌는가만 보는 것이 아니라, **'낮은 가격에서 거래량이 터졌는가'**를 계산합니다.
지지선에서 MFI가 20 이하로 떨어진다는 것은 "스마트 머니"가 매집을 준비하는 단계이거나, 투매가 정점에 달해 거래량이 실린 반등이 임박했음을 뜻합니다.
RSI와의 컨버전스(Convergence):
RSI는 가격의 속도를 측정합니다. MFI가 과매도인데 RSI가 아직 높다면, 거래량은 들어오지만 가격의 하락 관성이 여전히 강하다는 뜻입니다.
이 코드의 핵심은 mfi_val <= mfi_low와 rsi_val <= rsi_low가 동시에 만족될 때만 진입하는 것입니다. 이는 거래량 유입 + 하락 관성 둔화가 일치하는 고확률 타점입니다.
리페인팅 차단 및 현실적 시뮬레이션:
ta.mfi와 ta.rsi는 기본적으로 현재 봉의 종가를 기준으로 계산되므로 리페인팅이 발생하지 않습니다.
commission_value=0.05를 통해 거래소 수수료를 반영하여, 잦은 매매로 인한 손실 가능성을 미리 확인할 수 있게 설계했습니다.
//@version=6
strategy("MFI-RSI Convergence Strategy",
overlay=false, // 하단 지표 형태 확인을 위해 false 설정 (차트 위 신호는 별도 plotshape 사용)
initial_capital=10000,
default_qty_type=strategy.percent_of_equity,
default_qty_value=10,
commission_type=strategy.commission.percent,
commission_value=0.05,
slippage=1)
// --- ---
group_date = "1. 백테스트 기간"
start_time = input.time(timestamp("2024-01-01 00:00:00"), "시작일", group=group_date)
end_time = input.time(timestamp("2026-12-31 23:59:59"), "종료일", group=group_date)
within_window() => time >= start_time and time <= end_time
group_mfi = "2. MFI (Volume) 설정"
mfi_length = input.int(14, "MFI 기간", minval=1, group=group_mfi)
mfi_low = input.int(20, "MFI 과매도 (매수세 유입 대기)", group=group_mfi)
mfi_high = input.int(80, "MFI 과매수 (매도세 유입 대기)", group=group_mfi)
group_rsi = "3. RSI (Momentum) 설정"
rsi_length = input.int(14, "RSI 기간", minval=1, group=group_rsi)
rsi_low = input.int(30, "RSI 과매도", group=group_rsi)
rsi_high = input.int(70, "RSI 과매수", group=group_rsi)
group_risk = "4. 리스크 관리"
tp_pct = input.float(3.0, "익절 (%)", step=0.1, group=group_risk) / 100
sl_pct = input.float(1.5, "손절 (%)", step=0.1, group=group_risk) / 100
// --- ---
// MFI (가격 + 거래량 가중)
mfi_val = ta.mfi(close, mfi_length)
// RSI (가격 변동 강도)
rsi_val = ta.rsi(close, rsi_length)
// --- ---
// 매수 조건: MFI와 RSI가 모두 과매도 구간일 때 (강력한 반등 예상 지점)
long_condition = (mfi_val <= mfi_low) and (rsi_val <= rsi_low)
// 매도 조건: MFI와 RSI가 모두 과매수 구간일 때
short_condition = (mfi_val >= mfi_high) and (rsi_val >= rsi_high)
// --- ---
if within_window()
if long_condition
strategy.entry("Long", strategy.long, comment="VLM+MOM Bottom")
if short_condition
strategy.entry("Short", strategy.short, comment="VLM+MOM Top")
// 익절 및 손절 설정
strategy.exit("Ex Long", "Long", limit=strategy.position_avg_price * (1 + tp_pct), stop=strategy.position_avg_price * (1 - sl_pct))
strategy.exit("Ex Short", "Short", limit=strategy.position_avg_price * (1 - tp_pct), stop=strategy.position_avg_price * (1 + sl_pct))
// --- ---
// 배경 가이드라인
hline(mfi_high, "Upper Boundary", color=color.gray, linestyle=hline.style_dashed)
hline(50, "Middle", color=color.new(color.gray, 50))
hline(mfi_low, "Lower Boundary", color=color.gray, linestyle=hline.style_dashed)
// 지표 플롯
plot(mfi_val, "MFI (Volume Flow)", color=color.aqua, linewidth=2)
plot(rsi_val, "RSI (Momentum)", color=color.yellow, linewidth=1)
// 중첩 구간 강조 (Convergence)
fill_color = (mfi_val <= mfi_low and rsi_val <= rsi_low) ? color.new(color.green, 70) :
(mfi_val >= mfi_high and rsi_val >= rsi_high) ? color.new(color.red, 70) : na
bgcolor(fill_color)
// 신호 발생 시 하단에 아이콘 표시
plotshape(long_condition, title="Buy Signal", location=location.bottom, color=color.green, style=shape.triangleup, size=size.small)
plotshape(short_condition, title="Sell Signal", location=location.top, color=color.red, style=shape.triangledown, size=size.small)
