SSL-Extendido-Estrategia por Neil--
DESCRIPTION
SSL Strategy with ATR, Volume, ADX, TakeProfit, Profit Cycle Indicator and Extended Trend Control.
The component is based on moving averages, its effectiveness is greater in long periods: 4H, 1D, 1S
HOW DOES IT WORK
The component works with a fluctuation band in which the price moves, it consists of an upper moving average of 10 periods and a lower moving average of 8 periods, both configurable according to the volatility of the asset. Since the band has little width, prices trigger buy and sell alerts frequently, but the component has a trend control based on SMA, EMA, VWAP, HMA that allows to take advantage of the intermediate trend of the asset and cancel the early buy alerts and sale, maximizing the development of the parabola, additionally the component allows to confirm the entries with indicators such as: ATR (valatility), Volume and ADX (direction strength), this to achieve entries with a greater probability of success.
WHY USE IT
Its configuration is simple, it requires adjusting few parameters and although it is ideal for long-term operations, it allows periodic take profit, under the philosophy of profit evaluation at present point and not profit evaluation at future point, ensuring income in less time. additionally it has a visual profit indicator, which allows you to graphically see if a money generation cycle (buy or sell) is a winner or a loser, it also allows you to operate according to the general trend of the asset, that is, you can adjust the behavior of the resource to carry out purchase and sale operations or only purchase or only sale. This component not only graphically indicates when to take profit (takeProfit), but it is responsible for closing the current operation and opening a new operation in the same direction. This is the ideal resource for automated alert-based trading against platforms such as 3Commas.
HOW TO USE IT
Press the "Indicators" option, go to the "Public Library" segment, write the name "SSL-Extendido-Estrategia por Neil", double-click on the record and it will be added to your work panel, now, all that remains is to configure its parameters and use it. By pressing the Reset Values Option, you will have a basic configuration that respects the fundamental concepts of trading and the use of multiple indicators in a single study.
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DESCRIPCIÓN
Estrategia SSL con ATR, Volume, ADX, TakeProfit, indicador de ciclo de ganancia y control de tendencia extendida.
El componente se basa en medias moviles, su efectividad es mayor en temporalidades largas: 4H,1D,1S
COMO FUNCIONA
El componente trabaja con una banda de fluctuación en la que se mueve el precio, consta de una media movil superior de 10 periodos y una media movil inferior de 8 periodos, ambas configurables segun la volatilidad del activo. Dado que la banda tiene poca amplitud, los precios gatillan alertas de compra y venta frecuentemente, pero el componente posee un control de tendencia basado en SMA, EMA, VWAP, HMA que permite aprovechar la tendencia intermedia del activo y anular las alertas tempranas de compra y venta, maximizando el dearrollo de la parabola, adicionalmente el componente permite confirmar las entradas con indicadores como: ATR (valatilidad), Volumen y ADX (fuerza de la dirección), esto para lograr entradas con mayor probabilidad de exito.
POR QUÉ USARLO
Su configuración es simple, requiere ajustar pocos parametros y aunque es ideal para operaciones de temporalidad larga, permite efectuar take profit periodicos, bajo la filosofía de evaluación de ganancia a punto presente y no evaluación de ganancia a punto futuro, asegurando ingresos en menor tiempo, adicionalmente posee un idicador de ganancia visual, que permite ver graficamente si un ciclo de generación de dinero (compra o venta) es ganador o perdedor, tambien permite operar segun la tendencia general del activo, es decir que usted puede ajustar el comportamiento del recurso para efectuar operaciones de compra y venta o solo compra o solo venta. Este componente no solo indica gráficamente cuando tomar ganancias (takeProfit), sino que se encarga de cerrar la operación en curso y abrir una nueva operación en la misma dirección. Este es el recurso ideal para efectuar trading automatizado basado en alertas, contra plataformas como 3Commas.
COMO USARLO
Presione la opción "Indicadores", ubíquese en el segmento "Libreria Publica", escriba el nombre "SSL-Extendido-Estrategia por Neil", haga doble clic sobre el registro y lo tendrá agregado en su panel de trabajo, ahora, solo resta configurar sus parámetros y usarlo. Presionando la opción Reestablecer Valores, ya tendrá una configuración básica que respeta los conceptos fundamentales del trading y el uso de múltiple de indicadores un un solo estudio.
In den Scripts nach "alert" suchen
KDJ – Long Only v3.0 (TradingView Strategy)
Overview｜概覽
EN
A research strategy that automates long-only entries using a KDJ-centric core with multi-layer confirmations and volatility-aware exits. Default preset targets ETH 5m; other symbols/timeframes can be tuned.
中文
研究用策略，透過 KDJ 核心與多層確認來自動化只做多進場，並以隨波動調整的出場邏輯運作。預設為 ETH 5 分鐘；其他商品/週期可自行調參。
Backtest (hypothetical) example: ETHUSDT.P, 5m, 2024-09-18→2025-09-18, fee 0.05%, slippage 1 tick.（僅示意，屬假設性回測）
What it does｜做什麼
EN
Signals are organized into channels:
A KDJ trend core
B OB/FVG touch pullback
CP Double-bottom (buffered neckline)
SR Support/Resistance bounce with rejection/zone checks
D EMA pullback (long EMA length)
E VWAP reclaim (lower-band pierce & recapture)
F Prior-low sweep & reclaim
中文
訊號分成多通道：
A KDJ 順勢核心
B OB/FVG 回踩觸價
CP 雙底（頸線含緩衝）
SR 支撐/阻力觸價不破（含拒絕與區域檢查）
D EMA 回踩（長週期 EMA）
E VWAP 收復（下緣穿越後收回）
F 前低掃回
High-level logic｜高層級原理
HTF/Mid-TF context：內建 5/15/1H 或 15/60/4H 組合；以簡化趨勢線/區域提供觸價參考
Trend & structure：本階 EMA(8/21/200) 結構；Structure Breakout（近期高低點 ±ATR 緩衝）／EMA8/21 回踩
Momentum/volume：MACD、KDJ 金叉與低區偵測、量能驗證
Regime：ADX 閘（趨勢/盤整門檻）、EMA 帶寬過濾震盪、Peak Guard 避免過度延伸
No look-ahead：入場不使用前視；樞紐/趨勢線僅作情境參考
Inputs & Features｜參數與功能
Market Preset：Generic / ETH（ETH 預設收緊若干門檻，開箱即用）
Entry Mode：KDJ_Core / CandleOnly / KDJ_and_Candle
Session Filter：最多三段交易時窗
Lite Filters：過度延伸、實體大小、DI 差距
S/R 模組：拒絕條件、KDJ 覆核、區域要求、即時 R:R 檢核
OrderBlock/FVG：近棒位移掃描
Chart Pattern：雙底 W，ATR 容差與頸線緩衝
Plotting：EMA200、通道字母標記、可選 TP/SL 標籤
Automation via Alerts（generic）｜快訊自動化（通用）
EN
On entries/exits the strategy emits JSON through alert_message. Create alerts with “Any alert() function call” and route them to your own webhook/bridge. Symbol mapping, sizing mode, and user info are configurable in inputs.
中文
進出場時透過 alert_message 輸出 JSON。建立快訊時選 “Any alert() function call”，再由你的 webhook/橋接服務轉單；輸入面板可設定商品代碼、下單型式與使用者資訊。
提示：調整參數後，請重建快訊，並將訊息欄設為 {{strategy.order.alert_message}}。
Position sizing｜部位大小
base / quote / percent_local / percent（percent_local 以本地 USD 估值計算）
可選「按數量模式」以便與本地部位同步（position_size sync）
Risk & Exits｜風險與出場
SL：ATR / Swing / ATR_or_Swing；TP Cap 以 ATR 或 % 限制上限
Breakeven & Trailing：達指定 R:R 啟動保本；之後以 最高價回看 − ATR×k 追蹤
Same-bar exits：可允許/禁止同根觸發 TP/SL
Pyramiding：pyramiding=2，最多兩筆多單可同時存在（淨倉交易所請留意整體倉位的平倉行為）
Suggested workflow｜建議流程
回測目標市場/週期 → 設定時段/濾網與門檻 → 微調 TP/SL 與部位大小 → 建立快訊（{{strategy.order.alert_message}}）→ 監看執行日誌
Notes & Disclaimer｜注意與免責
回測結果仰賴時間框解析與成交規則；棒內路徑與實盤可能不同
僅供研究/教育；非投資建議
本頁無廣告、無外部連結或聯絡資訊
Release Notes｜版本說明
2025-09-19
新增：One-shot Force Flat（一鍵清倉僅一次）— 於下一根收盤執行，完成後自動失效
Webhook：進/出場皆輸出 JSON；提醒更新參數後重建快訊
行為澄清：pyramiding=2，允許同圖表最多兩筆多單並存；同棒出場可設定
2025-09-18
Netted venue 說明：在淨倉模式下，出場會影響同商品的整體淨多倉；請留意手動單與策略單的互動
2025-08-28
修正小數顯示；預設優化（ETH/5m）；保留隨波動的 RR/SL 邏輯
MNQ Gap-Fade (ETH) — RTH 08:30–15:00 CT, +/-3m refsStrategy overview
This strategy tests a gap-fade idea on MNQ when trading an ETH chart but referencing RTH timing. It measures the overnight move from 3 minutes before the prior RTH close (14:57 CT) to 3 minutes after today’s RTH open (08:33 CT). If that gap is big enough, it bets on mean reversion at the open:
Short after a large gap up
Long after a large gap down
How it works
Sampling windows (RTH, Chicago time):
Prev close sample: the 14:57 bar (3 min before 15:00 close)
Open sample: the 08:33 bar (3 min after 08:30 open)
These offsets help avoid opening/closing bar noise and ensure the bars have formed.
Overnight % move:
(OpenSample−PrevCloseSample)/PrevCloseSample × 100
Signals (at 08:33 pulse):
If gap % ≥ Gap-Up threshold → enter SHORT
If gap % ≤ −Gap-Down threshold → enter LONG
Risk management:
Per-trade TP and SL as percentages from entry (both adjustable)
If still in a position at 14:57, the strategy forces flat (closes all) before the RTH close
Plots & visibility:
Plots the computed Overnight Gap % line
Horizontal lines at your Gap-Up and Gap-Down thresholds for quick visual checks
Alerts:
alertcondition() events fire on:
the open-sample ready pulse,
gap-up short, and gap-down long conditions
(Pine requires static alert messages; the % gap itself is visible on the chart.)
Inputs you can adjust
Times (CT): RTH open/close and the ±3 min offsets (use different values if desired)
Gap thresholds (%): separate values for gap-up (short) and gap-down (long)
Take-profit / Stop-loss (%): per-side percentage targets from average entry price
Instrument & session notes
Designed for MNQ; works on an ETH chart while internally referencing CME/Chicago (CT) RTH times via 1-minute sampling.
If you prefer different markets or exact ET timestamps, change the time inputs accordingly.
Assumptions & limitations
This is a research/backtest tool for a simple gap-fade rule, not a complete trading system.
Slippage, fills, and overnight liquidity may differ from backtest assumptions.
Mean reversion can fail on trend days and during news events; use filters or wider thresholds if needed.
That should be everything reviewers and users need to understand what it does and how to tune it. Want me to add a short “Suggested defaults” block (e.g., 0.75–1.25% gaps, 1% TP/SL) or a “Known gotchas” section for ETH vs. RTH charts?
Ask ChatGPT
Fusion Trend Pulse V2SCRIPT TITLE
Adaptive Fusion Trend Pulse V2 - Multi-Regime Strategy
DETAILED DESCRIPTION FOR PUBLICATION
🚀 INNOVATION SUMMARY
The Adaptive Fusion Trend Pulse V2 represents a breakthrough in algorithmic trading by introducing real-time market regime detection that automatically adapts strategy parameters based on current market conditions. Unlike static indicator combinations, this system dynamically adjusts its behavior across trending, choppy, and volatile market environments, providing a sophisticated multi-layered approach to market analysis.
🎯 CORE INNOVATIONS JUSTIFYING PROTECTED STATUS
1. Adaptive Market Regime Engine
Trending Market Detection: Uses ADX >25 with directional movement analysis
Volatile Market Classification: ATR-based volatility regime scoring (>1.2 threshold)
Choppy Market Identification: ADX <20 combined with volatility patterns
Dynamic Parameter Adjustment: All thresholds adapt based on detected regime
2. Multi-Component Fusion Algorithm
McGinley Dynamic Trend Baseline: Self-adjusting moving average that adapts to price velocity
Adaptive RMI (Relative Momentum Index): Enhanced RSI with momentum period adaptation
Zero-Lag EMA Smoothed CCI: Custom implementation reducing lag while maintaining signal quality
Hull MA Gradient Analysis: Slope strength normalized by ATR for trend confirmation
Volume Spike Detection: Regime-adjusted volume confirmation (0.8x-1.3x multipliers)
3. Intelligence Layer Features
Cooldown System: Prevents overtrading with regime-specific waiting periods (1-3 bars)
Performance Tracking: Real-time adaptation based on recent trade outcomes
Multi-Exchange Alert Integration: JSON-formatted alerts for automated trading
Comprehensive Dashboard: 16-metric real-time performance monitoring
📊 TECHNICAL SPECIFICATIONS
Market Regime Detection Philosophy:
The system continuously monitors market structure through volatility analysis and directional strength measurements. Rather than applying fixed thresholds, it creates dynamic response profiles that adjust the strategy's sensitivity, timing, and filtering based on the current market environment.
Adaptive Parameter Concept:
All strategy components modify their behavior based on regime classification. Volume requirements become more or less stringent, momentum thresholds shift to match market character, and exit timing adjusts to prevent whipsaws in different market conditions.
Entry Conditions (Both Long/Short):
McGinley trend alignment (close vs trend line)
Hull MA slope confirmation with ATR-normalized strength
Adaptive CCI above/below regime-specific thresholds
RMI momentum confirmation (>50 for long, <50 for short)
Volume spike exceeding regime-adjusted threshold
Regime-specific additional filters
Exit Strategy:
Dual take-profit system (2% and 4% default, customizable)
Momentum weakness detection (CCI reversal)
Trend breakdown (close below/above McGinley line)
Regime-specific urgency multipliers for faster exits in choppy markets
🎛️ USER CUSTOMIZATION OPTIONS
Core Parameters:
RMI Length & Momentum periods
CCI smoothing length
McGinley Dynamic length
Hull MA period for gradient analysis
Volume spike detection (length & multiplier)
Take profit levels (separate for long/short)
Adaptive Settings:
Market regime detection period (21 bars default)
Adaptation period for performance tracking (60 bars)
Volatility adaptation toggle
Trend strength filtering toggle
Momentum sensitivity multiplier (0.5-2.0 range)
Dashboard & Alerts:
Dashboard position (4 corners)
Dashboard size (Small/Normal/Large)
Transparency settings (0-100%)
Custom alert messages for bot integration
Date range filtering
🏆 UNIQUE VALUE PROPOSITIONS
1. Market Intelligence: First Pine Script strategy to implement comprehensive regime detection with parameter adaptation - most strategies use static settings regardless of market conditions.
2. Fusion Methodology: Combines 5+ distinct technical approaches (trend-following, momentum, volatility, volume, regime analysis) in a cohesive adaptive framework rather than simple indicator stacking.
3. Performance Optimization: Built-in learning system tracks recent performance and adjusts sensitivity - providing evolution rather than static rule-following.
4. Professional Integration: Enterprise-ready with JSON alert formatting, multi-exchange compatibility, and comprehensive performance tracking suitable for institutional use.
5. Visual Intelligence: Advanced dashboard provides 16 real-time metrics including regime classification, signal strength, and performance analytics - far beyond basic P&L displays.
🔧 TECHNICAL IMPLEMENTATION HIGHLIGHTS
Primary Applications:
Swing Trading: 4H-1D timeframes with regime-adapted entries
Algorithmic Trading: Automated execution via webhook alerts
Portfolio Management: Multi-timeframe analysis across different market conditions
Risk Management: Regime-aware position sizing and exit timing
Target Markets:
Cryptocurrency pairs (high volatility adaptation)
Forex majors (trending market optimization)
Stock indices (choppy market handling)
Commodities (volatile regime management)
🎯 WHY THIS ISN'T JUST AN INDICATOR MASHUP
Integrated Adaptation Framework: Unlike scripts that simply combine multiple indicators with static settings, this system creates a unified intelligence layer where each component influences and adapts to the others. The McGinley trend baseline doesn't just provide signals - it dynamically adjusts its sensitivity based on market regime detection. The momentum components modify their thresholds based on trend strength analysis.
Feedback Loop Architecture: The strategy incorporates a closed-loop learning system where recent performance influences future parameter selection. This creates evolution rather than static rule application. Most indicator combinations lack this adaptive learning capability.
Contextual Decision Making: Rather than treating each signal independently, the system uses contextual analysis where the same technical setup may generate different responses based on the current market regime. A momentum signal in a trending market triggers different behavior than the identical signal in choppy conditions.
Unified Risk Management: The regime detection doesn't just affect entries - it creates a comprehensive risk framework that adjusts exit timing, cooldown periods, and position management based on market character. This holistic approach distinguishes it from simple indicator stacking.
Custom Implementation Depth: Each component uses proprietary implementations (custom McGinley calculation, zero-lag CCI smoothing, enhanced RMI) rather than standard built-in functions, creating a cohesive algorithmic ecosystem rather than disconnected indicator outputs.
Custom Functions:
mcginley(): Proprietary implementation of McGinley Dynamic MA
rmi(): Enhanced Relative Momentum Index with custom parameters
zlema(): Zero-lag EMA for CCI smoothing
Regime classification algorithms with multi-factor analysis
Performance Optimizations:
Efficient variable management with proper scoping
Minimal repainting through careful historical referencing
Optimized calculations to prevent timeout issues
Memory-efficient tracking systems
Alert System:
JSON-formatted messages for API integration
Dynamic symbol/exchange substitution
Separate entry/exit/TP alert conditions
Customizable message formatting
⚡ WHY THIS REQUIRES PROTECTION
This strategy represents months of research into adaptive trading systems and market regime analysis. The specific combination of:
Proprietary regime detection algorithms
Custom adaptive parameter calculations
Multi-indicator fusion methodology
Performance-based learning system
Professional-grade implementation
Creates intellectual property that provides genuine competitive advantage. The methodology is not available in existing open-source scripts and represents original research into algorithmic trading adaptation.
🎯 EDUCATIONAL VALUE
Users gain exposure to:
Advanced market regime analysis techniques
Adaptive parameter optimization concepts
Multi-timeframe indicator fusion
Professional strategy development practices
Automated trading integration methods
The comprehensive dashboard and parameter explanations serve as a learning tool for understanding how professional algorithms adapt to changing market conditions.
CATEGORY SELECTION
Primary: Strategy
Secondary: Trend Analysis
SUGGESTED TAGS
adaptive, trend, momentum, regime, strategy, alerts, dashboard, mcginley, rmi, cci, professional
MANDATORY DISCLAIMER
Disclaimer: This strategy is for educational and informational purposes only. It does not constitute financial advice. Trading cryptocurrencies involves substantial risk, and past performance is not indicative of future results. Always backtest and forward-test before using on a live account. Use at your own risk.
[3Commas] Turtle StrategyTurtle Strategy
🔷 What it does: This indicator implements a modernized version of the Turtle Trading Strategy, designed for trend-following and automated trading with webhook integration. It identifies breakout opportunities using Donchian channels, providing entry and exit signals.
Channel 1: Detects short-term breakouts using the highest highs and lowest lows over a set period (default 20).
Channel 2: Acts as a confirmation filter by applying an offset to the same period, reducing false signals.
Exit Channel: Functions as a dynamic stop-loss (wait for candle close), adjusting based on market structure (default 10 periods).
Additionally, traders can enable a fixed Take Profit level, ensuring a systematic approach to profit-taking.
🔷 Who is it for:
Trend Traders: Those looking to capture long-term market moves.
Bot Users: Traders seeking to automate entries and exits with bot integration.
Rule-Based Traders: Operators who prefer a structured, systematic trading approach.
🔷 How does it work: The strategy generates buy and sell signals using a dual-channel confirmation system.
Long Entry: A buy signal is generated when the close price crosses above the previous high of Channel 1 and is confirmed by Channel 2.
Short Entry: A sell signal occurs when the close price falls below the previous low of Channel 1, with confirmation from Channel 2.
Exit Management: The Exit Channel acts as a trailing stop, dynamically adjusting to price movements. To exit the trade, wait for a full bar close.
Optional Take Profit (%): Closes trades at a predefined %.
🔷 Why it’s unique:
Modern Adaptation: Updates the classic Turtle Trading Strategy, with the possibility of using a second channel with an offset to filter the signals.
Dynamic Risk Management: Utilizes a trailing Exit Channel to help protect gains as trades move favorably.
Bot Integration: Automates trade execution through direct JSON signal communication with your DCA Bots.
🔷 Considerations Before Using the Indicator:
Market & Timeframe: Best suited for trending markets; higher timeframes (e.g., H4, D1) are recommended to minimize noise.
Sideways Markets: In choppy conditions, breakouts may lead to false signals—consider using additional filters.
Backtesting & Demo Testing: It is crucial to thoroughly backtest the strategy and run it on a demo account before risking real capital.
Parameter Adjustments: Ensure that commissions, slippage, and position sizes are set accurately to reflect real trading conditions.
🔷 STRATEGY PROPERTIES
Symbol: BINANCE:ETHUSDT (Spot).
Timeframe: 4h.
Test Period: All historical data available.
Initial Capital: 10000 USDT.
Order Size per Trade: 1% of Capital, you can use a higher value e.g. 5%, be cautious that the Max Drawdown does not exceed 10%, as it would indicate a very risky trading approach.
Commission: Binance commission 0.1%, adjust according to the exchange being used, lower numbers will generate unrealistic results. By using low values e.g. 5%, it allows us to adapt over time and check the functioning of the strategy.
Slippage: 5 ticks, for pairs with low liquidity or very large orders, this number should be increased as the order may not be filled at the desired level.
Margin for Long and Short Positions: 100%.
Indicator Settings: Default Configuration.
Period Channel 1: 20.
Period Channel 2: 20.
Period Channel 2 Offset: 20.
Period Exit: 10.
Take Profit %: Disable.
Strategy: Long & Short.
🔷 STRATEGY RESULTS
⚠️Remember, past results do not guarantee future performance.
Net Profit: +516.87 USDT (+5.17%).
Max Drawdown: -100.28 USDT (-0.95%).
Total Closed Trades: 281.
Percent Profitable: 40.21%.
Profit Factor: 1.704.
Average Trade: +1.84 USDT (+1.80%).
Average # Bars in Trades: 29.
🔷 How to Use It:
🔸 Adjust Settings:
Select your asset and timeframe suited for trend trading.
Adjust the periods for Channel 1, Channel 2, and the Exit Channel to align with the asset’s historical behavior. You can visualize these channels by going to the Style tab and enabling them.
For example, if you set Channel 2 to 40 with an offset of 40, signals will take longer to appear but will aim for a more defined trend.
Experiment with different values, a possible exit configuration is using 20 as well. Compare the results and adjust accordingly.
Enable the Take Profit (%) option if needed.
🔸Results Review:
It is important to check the Max Drawdown. This value should ideally not exceed 10% of your capital. Consider adjusting the trade size to ensure this threshold is not surpassed.
Remember to include the correct values for commission and slippage according to the symbol and exchange where you are conducting the tests. Otherwise, the results will not be realistic.
If you are satisfied with the results, you may consider automating your trades. However, it is strongly recommended to use a small amount of capital or a demo account to test proper execution before committing real funds.
🔸Create alerts to trigger the DCA Bot:
Verify Messages: Ensure the message matches the one specified by the DCA Bot.
Multi-Pair Configuration: For multi-pair setups, enable the option to add the symbol in the correct format.
Signal Settings: Enable the option to receive long or short signals (Entry | TP | SL), copy and paste the messages for the DCA Bots configured.
Alert Setup:
When creating an alert, set the condition to the indicator and choose "alert() function call only".
Enter any desired Alert Name.
Open the Notifications tab, enable Webhook URL, and paste the Webhook URL.
For more details, refer to the section: "How to use TradingView Custom Signals".
Finalize Alerts: Click Create, you're done! Alerts will now be sent automatically in the correct format.
🔷 INDICATOR SETTINGS
Period Channel 1: Period of highs and lows to trigger signals
Period Channel 2: Period of highs and lows to filter signals
Offset: Move Channel 2 to the right x bars to try to filter out the favorable signals.
Period Exit: It is the period of the Donchian channel that is used as trailing for the exits.
Strategy: Order Type direction in which trades are executed.
Take Profit %: When activated, the entered value will be used as the Take Profit in percentage from the entry price level.
Use Custom Test Period: When enabled signals only works in the selected time window. If disabled it will use all historical data available on the chart.
Test Start and End: Once the Custom Test Period is enabled, here you select the start and end date that you want to analyze.
Check Messages: Check Messages: Enable this option to review the messages that will be sent to the bot.
Entry | TP | SL: Enable this options to send Buy Entry, Take Profit (TP), and Stop Loss (SL) signals.
Deal Entry and Deal Exit: Copy and paste the message for the deal start signal and close order at Market Price of the DCA Bot. This is the message that will be sent with the alert to the Bot, you must verify that it is the same as the bot so that it can process properly.
DCA Bot Multi-Pair: You must activate it if you want to use the signals in a DCA Bot Multi-pair in the text box you must enter (using the correct format) the symbol in which you are creating the alert, you can check the format of each symbol when you create the bot.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
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The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc.
[3Commas] HA & MAHA & MA
🔷What it does: This tool is designed to test a trend-following strategy using Heikin Ashi candles and moving averages. It enters trades after pullbacks, aiming to let profits run once the risk-to-reward ratio reaches 1:1 while securing the position.
🔷Who is it for: It is ideal for traders looking to compare final results using fixed versus dynamic take profits by adjusting parameters and trade direction—a concept applicable to most trading strategies.
🔷How does it work: We use moving averages to define the market trend, then wait for opposite Heikin Ashi candles to form against it. Once these candles reverse in favor of the trend, we enter the trade, using the last swing created by the pullback as the stop loss. By applying the breakeven ratio, we protect the trade and let it run, using the slower moving average as a trailing stop.
A buy signal is generated when:
The previous candle is bearish (ha_bear ), indicating a pullback.
The fast moving average (ma1) is above the slow moving average (ma2), confirming an uptrend.
The current candle is bullish (ha_bull), showing trend continuation.
The Heikin Ashi close is above the fast moving average (ma1), reinforcing the bullish bias.
The real price close is above the open (close > open), ensuring bullish momentum in actual price data.
The signal is confirmed on the closed candle (barstate.isconfirmed) to avoid premature signals.
dir is undefined (na(dir)), preventing repeated signals in the same direction.
A sell signal is generated when:
The previous candle is bullish (ha_bull ), indicating a temporary upward move before a potential reversal.
The fast moving average (ma1) is below the slow moving average (ma2), confirming a downtrend.
The current candle is bearish (ha_bear), showing trend continuation to the downside.
The Heikin Ashi close is below the fast moving average (ma1), reinforcing bearish pressure.
The real price close is below the open (close < open), confirming bearish momentum in actual price data.
The signal is confirmed after the candle closes (barstate.isconfirmed), avoiding premature entries.
dir is undefined (na(dir)), preventing consecutive signals in the same direction.
In simple terms, this setup looks for trend continuation after a pullback, confirming entries with both Heikin Ashi and real price action, supported by moving average alignment to avoid false signals.
If the price reaches a 1:1 risk-to-reward ratio, the stop will be moved to the entry point. However, if the slow moving average surpasses this level, it will become the new exit point, acting as a trailing stop
🔷Why It’s Unique
Easily visualizes the benefits of using risk-to-reward ratios when trading instead of fixed percentages.
Provides a simple and straightforward approach to trading, embracing the "keep it simple" concept.
Offers clear visualization of DCA Bot entry and exit points based on user preferences.
Includes an option to review the message format before sending signals to bots, with compatibility for multi-pair and futures contract pairs.
🔷 Considerations Before Using the Indicator
⚠️Very important: The indicator must be used on charts with real price data, such as Japanese candlesticks, line charts, etc. Do not use it on Heikin Ashi charts, as this may lead to unrealistic results.
🔸Since this is a trend-following strategy, use it on timeframes above 4 hours, where market noise is reduced and trends are clearer. Also, carefully review the statistics before using it, focusing on pairs that tend to have long periods of well-defined trends.
🔸Disadvantages:
False Signals in Ranges: Consolidating markets can generate unreliable signals.
Lagging Indicator: Being based on moving averages, it may react late to sudden price movements.
🔸Advantages:
Trend Focused: Simplifies the identification of trending markets.
Noise Reduction: Uses Heikin Ashi candles to identify trend continuation after pullbacks.
Broad Applicability: Suitable for forex, crypto, stocks, and commodities.
🔸The strategy provides a systematic way to analyze markets but does not guarantee successful outcomes. Use it as an additional tool rather than relying solely on an automated system.
Trading results depend on various factors, including market conditions, trader discipline, and risk management. Past performance does not ensure future success, so always approach the market cautiously.
🔸Risk Management: Define stop-loss levels, position sizes, and profit targets before entering any trade. Be prepared for potential losses and ensure your approach aligns with your overall trading plan.
🔷 STRATEGY PROPERTIES
Symbol: BINANCE:BTCUSDT (Spot).
Timeframe: 4h.
Test Period: All historical data available.
Initial Capital: 10000 USDT.
Order Size per Trade: 1% of Capital, you can use a higher value e.g. 5%, be cautious that the Max Drawdown does not exceed 10%, as it would indicate a very risky trading approach.
Commission: Binance commission 0.1%, adjust according to the exchange being used, lower numbers will generate unrealistic results. By using low values e.g. 5%, it allows us to adapt over time and check the functioning of the strategy.
Slippage: 5 ticks, for pairs with low liquidity or very large orders, this number should be increased as the order may not be filled at the desired level.
Margin for Long and Short Positions: 100%.
Indicator Settings: Default Configuration.
MA1 Length: 9.
MA2 Length: 18.
MA Calculations: EMA.
Take Profit Ratio: Disable. Ratio 1:4.
Breakeven Ratio: Enable, Ratio 1:1.
Strategy: Long & Short.
🔷 STRATEGY RESULTS
⚠️Remember, past results do not guarantee future performance.
Net Profit: +324.88 USDT (+3.25%).
Max Drawdown: -81.18 USDT (-0.78%).
Total Closed Trades: 672.
Percent Profitable: 35.57%.
Profit Factor: 1.347.
Average Trade: +0.48 USDT (+0.48%).
Average # Bars in Trades: 13.
🔷 HOW TO USE
🔸 Adjust Settings:
The default values—MA1 (9) and MA2 (18) with EMA calculation—generally work well. However, you can increase these values, such as 20 and 40, to better identify stronger trends.
🔸 Choose a Symbol that Typically Trends:
Select an asset that tends to form clear trends. Keep in mind that the Strategy Tester results may show poor performance for certain assets, making them less suitable for sending signals to bots.
🔸 Experiment with Ratios:
Test different take profit and breakeven ratios to compare various scenarios—especially to observe how the strategy performs when only the trade is protected.
🔸This is an example of how protecting the trade works: once the price moves in favor of the position with a 1:1 risk-to-reward ratio, the stop loss is moved to the entry price. If the Slow MA surpasses this level, it will act as a trailing stop, aiming to follow the trend and maximize potential gains.
🔸In contrast, in this example, for the same trade, if we set a take profit at a 1:3 risk-to-reward ratio—which is generally considered a good risk-reward relationship—we can see how a significant portion of the upward move is left on the table.
🔸Results Review:
It is important to check the Max Drawdown. This value should ideally not exceed 10% of your capital. Consider adjusting the trade size to ensure this threshold is not surpassed.
Remember to include the correct values for commission and slippage according to the symbol and exchange where you are conducting the tests. Otherwise, the results will not be realistic.
If you are satisfied with the results, you may consider automating your trades. However, it is strongly recommended to use a small amount of capital or a demo account to test proper execution before committing real funds.
🔸Create alerts to trigger the DCA Bot:
Verify Messages: Ensure the message matches the one specified by the DCA Bot.
Multi-Pair Configuration: For multi-pair setups, enable the option to add the symbol in the correct format.
Signal Settings: Enable whether you want to receive long or short signals (Entry | TP | SL), copy and paste the the messages for the DCA Bots configured.
Alert Setup:
When creating an alert, set the condition to the indicator and choose "alert() function call only.
Enter any desired Alert Name.
Open the Notifications tab, enable Webhook URL, and paste the Webhook URL.
For more details, refer to the section: "How to use TradingView Custom Signals".
Finalize Alerts: Click Create, you're done! Alerts will now be sent automatically in the correct format.
🔷 INDICATOR SETTINGS
MA 1: Fast MA Length
MA 2: Slow MA Length
MA Calc: MA's Calculations (SMA,EMA, RMA,WMA)
TP Ratio: This is the take profit ratio relative to the stop loss, where the trade will be closed in profit.
BE Ratio: This is the breakeven ratio relative to the stop loss, where the stop loss will be updated to breakeven or if the MA2 is greater than this level.
Strategy: Order Type direction in which trades are executed.
Use Custom Test Period: When enabled signals only works in the selected time window. If disabled it will use all historical data available on the chart.
Test Start and End: Once the Custom Test Period is enabled, here you select the start and end date that you want to analyze.
Check Messages: Enable the table to review the messages to be sent to the bot.
Entry | TP | SL: Enable this options to send Buy Entry, Take Profit (TP), and Stop Loss (SL) signals.
Deal Entry and Deal Exit : Copy and paste the message for the deal start signal and close order at Market Price of the DCA Bot. This is the message that will be sent with the alert to the Bot, you must verify that it is the same as the bot so that it can process properly so that it executes and starts the trade.
DCA Bot Multi-Pair: You must activate it if you want to use the signals in a DCA Bot Multi-pair in the text box you must enter (using the correct format) the symbol in which you are creating the alert, you can check the format of each symbol when you create the bot.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
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The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc.
Briss Thorn XtremeStrategy Description: Briss Thorn Xtreme
The Briss Thorn Xtreme is an innovative trading strategy designed to identify and capitalize on opportunities in the forex market through advanced technical analysis and dynamic risk management. This strategy combines calculations based on RSI and ATR with time and day filters, providing customized signals and real-time alerts via Discord. Ideal for traders seeking a structured and highly customizable methodology, Briss Thorn Xtreme integrates enhanced visual tools for efficient trade management.
Key Features:
RSI and ATR-Based Signals: Utilizes smoothed RSI and ATR calculations to identify trends and measure volatility, allowing for more precise detection of buy and sell opportunities.
Dynamic Stop-Loss (SL) and Take-Profit (TP) Levels: Automatically calculates SL and TP levels based on market volatility, dynamically adjusting to optimize risk management.
Advanced Discord Integration: Sends detailed alerts to your Discord channel, including information such as the asset, signal time, entry price, and SL/TP levels, facilitating real-time decision-making.
Complete Customization: Allows users to adjust key parameters such as RSI periods, smoothing factors, liquidity thresholds, trading schedules, and operation days, adapting to different trading styles and market conditions.
Enhanced Chart Visualization: Includes visual elements like candle color changes based on trend, colored boxes for SL and TP, and a summary table of recent trades, enabling quick market interpretation.
Day and Time Operation Filters: Enables selection of specific days of the week and time slots during which signals are generated, optimizing market exposure and avoiding periods of low liquidity or unwanted high volatility.
Trade Summary: Displays a summary of the last three trades directly on the chart, indicating whether TP or SL was reached, aiding in strategy performance evaluation.
Customizable Alert Messages: Allows customization of messages sent to Discord for buy and sell signals, tailoring them to your specific preferences and requirements.
Additional Visual Tools: Highlights the operational range on the chart during permitted trading hours and colors candles based on the current trend (bullish, bearish, or neutral), enhancing visibility and decision-making.
How the Strategy Works:
Technical Indicators Calculation:
- RSI (Relative Strength Index) : Calculates RSI with a defined period and smooths it using an Exponential Moving Average (EMA) to obtain a more stable and reliable signal.
- ATR (Average True Range) : Calculates ATR adjusted by a rapid liquidity factor to measure the current market volatility, thereby determining the strength of the trend.
Generating Buy and Sell Signals:
- Buy Signal: A buy signal is generated when the liquidity index surpasses the short liquidity level, indicating potential accumulation and an upward trend.
- Sell Signal: A sell signal is generated when the liquidity index falls below the long liquidity level, indicating potential distribution and a downward trend.
- Operation Conditions: Signals are only generated on selected days and times, avoiding periods of low liquidity or unwanted high volatility.
Dynamic SL and TP Levels Calculation:
- Stop-Loss (SL) and Take-Profit (TP): SL and TP levels are calculated based on the entry price and a defined number of ticks, automatically adjusting to market volatility to optimize risk management.
- SL and TP Visualization: Colored boxes are drawn on the chart for a clear visual reference of SL and TP levels, facilitating trade management.
Automatic Execution and Alerts:
- Order Execution: Upon signal generation, the strategy automatically executes a market order (buy or sell).
- Discord Alerts: Detailed alerts are sent to the configured Discord channel, providing essential information for swift decision-making, including asset, signal time, entry price, current volatility (ATR), and trend direction.
Trade Management and Monitoring:
- Trade Summary: A table on the chart displays a summary of the last three trades (Today, Yesterday, Day Before Yesterday), indicating whether TP or SL was reached, allowing real-time performance evaluation.
- Automatic Trade Closure: The strategy automatically closes trades upon reaching the established SL or TP levels, ensuring efficient risk management and preventing excessive losses.
Additional Visualization:
- Candle Coloring by Trend: Candles are colored based on the current trend (bullish, bearish, or neutral), facilitating quick identification of market direction.
- Operational Range Highlighting: The chart background is colored during permitted trading hours, highlighting active periods of the strategy and enhancing trade visibility.
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Strategy Properties (Important)
This backtest is conducted on M17 EURUSD using the following backtesting properties:
Initial Capital: $1000
Order Size: 1% of capital
Commission: $0.20 per order
Slippage: 1 tick
Pyramiding: 1 order
Price Verification for Limit Orders: 0 ticks
Recalculate on Order Execution: Enabled
Recalculate on Every Tick: Enabled
Recalculate After Order Execution: Enabled
Bar Magnifier for Backtesting Precision: Enabled
These properties ensure a realistic preview of the backtesting system. Note that default properties may vary for different reasons:
Order Size: It is essential to calculate the contract size according to the traded asset and desired risk level.
Commission and Slippage: These costs may vary depending on the market and instrument; there is no default value that guarantees realistic results.
All users are strongly recommended to adjust the properties within the script settings to align them with their trading accounts and platforms, ensuring that strategy results are realistic.
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Backtesting Results:
- Net Profit: $327.90 (32.79%)
- Total Closed Trades: 162
- Profit Percentage: 35.80%
- Profit Factor: 1.298
- Maximum Drawdown: $146.70 (10.27%)
- Average per Trade: $2.02 (0.02%)
- Average Bars per Trade: 22
These results were obtained under the mentioned conditions and properties, providing an overview of the strategy's historical performance.
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Interpretation of Results:
- The strategy has demonstrated profitability over the analyzed period, albeit with a success rate of 32.79%, indicating that success depends on a favorable risk-reward ratio.
- The profit factor of 1.298 suggests that total gains exceed total losses by this proportion.
- It is crucial to consider the maximum drawdown of 10.27% when evaluating the strategy's suitability to your risk tolerance.
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Risk Warning:
Trading with leveraged financial instruments involves a high level of risk and may not be suitable for all investors. Before deciding to trade, you should carefully consider your investment objectives, level of experience, and risk tolerance. Past performance does not guarantee future results. It is essential to perform additional testing and adjust the strategy according to your needs.
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What Makes This Strategy Original?
Unique RSI and Liquidity Focus: Unlike conventional strategies, Briss Thorn Xtreme focuses on combining RSI analysis with liquidity parameters to reflect institutional activity and macroeconomic events that may influence the market.
Advanced Technological Integration: The combination of automatic execution and customized alerts via Discord provides an efficient and modern tool for active traders.
Customization and Adaptability: The wide range of adjustable parameters allows the strategy to adapt to different assets, time zones, and trading styles, offering flexibility and complete user control.
Enhanced Visual Tools: Integrated visual elements, such as candle coloring, SL/TP boxes, and summary tables, facilitate quick market interpretation and informed decision-making.
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Additional Considerations
Continuous Testing and Optimization: Users are advised to perform additional backtests and optimize parameters based on their own observations and requirements.
Complementary Analysis: Use this strategy in conjunction with other indicators and fundamental analysis tools to reinforce decision-making and confirm generated signals.
Rigorous Risk Management: Ensure that SL and TP levels, as well as position sizes, are aligned with your risk management plan to avoid excessive losses.
Updates and Support: I am committed to providing updates and improvements based on community feedback. For inquiries or suggestions, feel free to contact me.
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Example Configuration
Assuming you want to use the strategy with the following parameters:
Discord Webhook: Your unique Discord Webhook
RSI Period: 6
RSI Smoothing Factor: 5
Rapid Liquidity Factor: 5
Liquidity Threshold: 5
SL Ticks: 100
TP Ticks: 250
SL/TP Box Width: 25 bars
Trading Days: Monday, Tuesday, Wednesday, Thursday, Friday
Trading Hours: Start at 8:00, End at 11:00
Simulated Initial Capital: $1000
Risk per Trade in Simulation: 1% of capital
Slippage and Commissions in Simulation: 1 tick slippage and $0.20 commission per trade
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Conclusion
The Briss Thorn Xtreme strategy offers an innovative approach by combining advanced technical analysis with dynamic risk management and modern technological tools. Its original and adaptable design makes it a valuable tool for traders looking to diversify their methods and capitalize on opportunities based on less conventional patterns. Ready for immediate implementation in TradingView, this strategy can enhance your trading arsenal and contribute to a more informed and structured approach in your operations.
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Final Disclaimer:
Financial markets are volatile and can present significant risks. This strategy should be used as part of a comprehensive trading approach and does not guarantee positive results. It is always advisable to consult with a professional financial advisor before making investment decisions.
[3Commas] Alligator StrategyThe Alligator Strategy
🔷 What it does: This script implements the Alligator Strategy, a trend-following method created by Bill Williams. It uses three customizable moving averages (SMMAs or RMAs) "Jaws," "Teeth," and "Lips" to identify market trends and potential trade opportunities. Additionally, it includes built-in stop-loss and take-profit options for enhanced risk management.
🔷 Who is it for:
Trend Traders: Those who prefer trading in markets with clear directional movement.
Advanced Users: Traders who require customizable tools and dynamic risk management features.
Beginners: Accessible to those new to trading, thanks to its intuitive visual representation of trends and pre-configured settings.
Bot Users: Supports direct signal integration for bot automation, including entries, take-profits, and stop-losses.
🔷 How does it work: The Alligator Jaws, Teeth, and Lips are smoothed moving averages (SMA, EMA, RMA, or WMA) calculated based on the selected source price ( hl2 = (high+low)/2 by default). Their lengths and offsets are customizable:
Jaws: Length 21 , offset 13.
Teeth: Length 13, offset 8.
Lips: Length 8 , offset 5.
When the lines align and spread apart (e.g., Lips > Teeth > Jaws for an uptrend), the strategy identifies a trending market.
Entry Conditions:
Long Trades: Triggered when Close > Lips > Teeth > Jaws.
Short Trades: Triggered when Close < Lips < Teeth < Jaws.
🔷 Why it’s unique:
Customization: Flexible settings for moving average types and lengths to adapt to different market conditions and strategy tester configurations.
Built-in Filters: Trend filters that can reduce false signals in certain scenarios, making it more reliable for trending markets.
Take Profit and Stop Loss:
Configurable as either percentage-based or dynamic.
Stop-loss levels adjust dynamically using the Alligator lines.
Fast exit logic moves the stop-loss closer to the price when trades are in profit.
3Commas Bot Compatibility: Designed for automated trading, allowing traders to configure and execute the strategy seamlessly.
🔷 Considerations Before Using the Indicator
🔸Why the Forward Offset: By shifting the averages forward, the Alligator helps traders focus on established trends while filtering out short-term market noise.
The standard configurations of 13-8, 8-5, and 5-3 were selected based on Bill Williams’ studies of market behavior. However, these values can be adjusted to suit different market conditions:
Volatile Markets: Faster settings (e.g., 10-6, 6-4, 3-2) may provide earlier signals.
Less Volatile Markets: Slower settings (e.g., 21-13, 13-8, 8-5) can help avoid noise and reduce false signals.
🔸Best Timeframes to Use: The Alligator can be applied across all timeframes, but certain timeframes offer better reliability.
Higher Timeframes (H4, D1, W1): Ideal for identifying significant trends and for swing or position trading.
Lower Timeframes: Not recommended due to increased noise but may work for scalping with additional confirmation tools.
🔸Disadvantages of the Alligator Strategy:
Exhausted Entry Levels: High buying levels or low selling levels can lead to momentum exhaustion and potential pullbacks.
False Signals in Ranges: Consolidating markets can produce unreliable signals.
Lagging Indicator: As it is based on moving averages, it may delay reacting to sudden price changes.
🔸Advantages of the Alligator Strategy:
Trend Focused: Simplifies the identification of trending markets.
Noise Reduction: Forward shifts and smoothed averages help filter out short-term price fluctuations.
Broad Applicability: Suitable for forex, crypto, stocks, and commodities.
🔸Important Considerations:
While the Alligator Strategy provides a systematic way to analyze markets, it does not guarantee successful outcomes. Results in trading depend on multiple factors, including market conditions, trader discipline, and risk management. Past performance of the strategy does not ensure future success, and traders should always approach the market with caution.
Risk Management: Define stop-loss levels, position size, and profit targets before entering any trade. Be prepared for the possibility of losses and ensure that your approach aligns with your overall trading plan.
🔷 STRATEGY PROPERTIES
Symbol: BINANCE:BTCUSDT (Spot).
Timeframe: 1D (Daily Timeframe).
Test Period: All historical data available.
Initial Capital: 10000 USDT.
Order Size per Trade: 1% of Capital, you can use a higher value e.g. 5%, be cautious that the Max Drawdown does not exceed 10%, as it would indicate a very risky trading approach.
Commission: Binance commission 0.1%, adjust according to the exchange being used, lower numbers will generate unrealistic results. By using low values e.g. 5%, it allows us to adapt over time and check the functioning of the strategy.
Slippage: 5 ticks, for pairs with low liquidity or very large orders, this number should be increased as the order may not be filled at the desired level.
Margin for Long and Short Positions: 100%.
Indicator Settings: Default Configuration.
Alligator: Source hl2 | Calculation RMA | Jaw 21-13, Teeth 13-8, Lips 8-5.
Strategy: Long & Short.
Max Stop Loss per Trade: 10% of Trade Size.
Exit trades on opposite signal: Enable.
Alligator Stop Loss: Enable.
Alligator Fast Exit: Enable.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +355.68 USDT (+3.56%).
Total Closed Trades: 103.
Percent Profitable: 47.57%.
Profit Factor: 1.927.
Max Drawdown: -57.99 USDT (-0.56%).
Average Trade: +3.45 USDT (+3.41%).
Average # Bars in Trades: 16.
🔷 HOW TO USE
🔸Adjust the Alligator Settings:
The default values generally work well: Source hl2 | Calculation RMA | Jaw 21-13, Teeth 13-8, Lips 8-5. However, if you want to use it on timeframes smaller than 4H (4 hours), consider increasing the values to better filter market noise.
Please review the "Indicator Settings" section for configuration.
🔸Choose a Symbol that Typically Trends:
Select an asset that tends to create trends. However, the Strategy Tester results may display poor performance, making it less suitable for sending signals to bots.
🔸Add Trend Filters:
You can enable trend filters like MA and SuperTrend. By default, these are disabled as they are often unnecessary, but you can experiment with their configuration to see if they optimize the strategy's results.
Please review the "Indicator Settings" section for configuration.
🔸Enable Stop Loss Levels:
Activate Stop Loss features, such as Stop Loss % or Alligator Stop Loss. If both are enabled, the one closest to the price during the trade will be applied.
Please review the "Indicator Settings" section for configuration.
🔸Enable Take Profit Levels:
Activate Take Profit options, such as Take Profit % or Alligator Fast Exit. If both are enabled, the one that triggers first will be executed.
Please review the "Indicator Settings" section for configuration.
This is an example with the default settings and how Alligator Stop Loss and Alligator Fast Exit are activated:
In this example, we additionally enable the Take Profit at 10%. We can observe that the Alligator Stop Loss is the active one since it is closer to the price. When the price moves 10% in favor or against the trade, the position is closed. Although the Alligator Fast Exit is enabled, it does not activate because the trades are closed beforehand.
🔸Results Review:
It is important to check the Max Drawdown. This value should ideally not exceed 10% of your capital. Consider adjusting the trade size to ensure this threshold is not surpassed.
Remember to include the correct values for commission and slippage according to the symbol and exchange where you are conducting the tests. Otherwise, the results will not be realistic.
If you are satisfied with the results, you may consider automating your trades. However, it is strongly recommended to use a small amount of capital or a demo account to test proper execution before committing real funds.
🔸Create alerts to trigger the DCA Bot
Verify Messages: Ensure the message matches the one specified by the DCA Bot.
Multi-Pair Configuration: For multi-pair setups, enable the option to add the symbol in the correct format.
Signal Settings: Enable whether you want to receive long or short signals (Entry | TP | SL), copy and paste the the messages for the DCA Bots configured in 3Commas.
Alert Setup:
When creating an alert, set the condition to the indicator and choose "alert() function call only.
Enter any desired Alert Name.
Open the Notifications tab, enable Webhook URL, and paste the Webhook URL from 3Commas.
For more details, refer to the 3Commas section: "How to use TradingView Custom Signals.
Finalize Alerts: Click Create, you're done! Alerts will now be sent automatically in the correct format to 3Commas.
🔷 INDICATOR SETTINGS
🔸Alligator Settings
MA's source: Source price for Alligator moving averages.
MA's Type: Type of calculation for MA's.
Jaw and Offset: Jaw length and offset to the right.
Teeth and Offset: Teethlength and offset to the right.
Lips and Offset: Lips length and offset to the right.
🔸Alligator Style
Plot Alligator: Show Alligator Ribbon.
Plot MA's: Show Alligator MA's.
Colors: Main and Gradient Colors for Bullish Alligator, Berish Alligator, Neutral Alligator. For gradient colors it is recommended to use an opacity of 15.
🔸MA & SuperTrend Filters
MA & Plot: Activate MA Filter and Plot MA on the chart.
Long Entries: When activated, it will only execute entries if the price is above the MA
Short Entries: When activated, it will only execute entries if the price is below the MA.
Source: Source price for moving average calculations.
Length: Candles to be used by the MA calculations.
Type: Type of calculation for MA.
Timeframe: Here you can select a larger timeframe for the filter.
ST & Plot: Activate SuperTrend Filter and Plot SuperTrend on the chart.
Long Entries: When activated, it will only execute entries if the price is above the SuperTrend.
Short Entries: When activated, it will only execute entries if the price is below the SuperTrend.
Source: Source price for SuperTrend calculations.
Length: Candles to be used by the SuperTrend calculations.
Factor: ATR multiplier of the SuperTrend.
Timeframe: Here you can select a larger timeframe for the filter.
🔸Strategy Tester
Strategy: Order Type direction in which trades are executed.
Take Profit %: When activated, the entered value will be used as the Take Profit in percentage from the entry price level.
Stop Loss %: When activated, the entered value will be used as the Stop Loss in percentage from the entry price level. If Alligator Stop Loss is activated, the closest one to the price will be used.
Exit trades on opposite signal: This option closes the trade if the opposite condition is met. For instance, if we are in a long position and a sell signal is triggered, the long position will be closed, and a short position will be opened. The same applies inversely.
Alligator Stop Loss: In a long trade, the lower part of the Alligator indicator will be used as a dynamic stop loss. Similarly, in a short trade, the upper part of the indicator will be used.
Alligator Fast Exit: Its purpose is to attempt to protect movements in favor of the trade's direction. In the case of long trades, once the price and the upper part of the Alligator indicator are above the trade's entry price, the stop loss will be moved to the upper part. For short trades, once the price and the lower part of the Alligator indicator are below the trade's entry price, the stop loss will be moved to the lower part of the Alligator indicator.
Alligator Squeeze Entry: When activated, entries will only be executed if they meet the condition after a neutral zone of the Alligator indicator.
Alligator Squeeze Exit: When this option is activated, any open trades will be closed when the Alligator indicator enters a neutral mode.
Use Custom Test Period: When enabled signals only works in the selected time window. If disabled it will use all historical data available on the chart.
Test Start and End: Once the Custom Test Period is enabled, here you select the start and end date that you want to analyze.
🔸3Commas DCA Bot Signals
Check Messages: Enable the table to review the messages to be sent to the bot.
Entry | TP | SL: Enable this options to send Buy Entry, Take Profit (TP), and Stop Loss (SL) signals to 3Commas.
Deal Entry and Deal Exit : Copy and paste the message for the deal start signal and close order at Market Price of the DCA Bot you created in 3Commas. This is the message that will be sent with the alert to the Bot, you must verify that it is the same as the 3Commas bot so that it can process properly so that it executes and starts the trade.
DCA Bot Multi-Pair: You must activate it if you want to use the signals in a DCA Bot Multi-pair in the text box you must enter (using the 3Commas format) the symbol in which you are creating the alert, you can check the format of each symbol when you create the bot.
🔷 CONCLUSION
The Alligator Strategy is a valuable tool for identifying potential trends and improving decision-making. However, no trading strategy is foolproof. Careful consideration of market conditions, proper risk management, and personal trading goals are essential. Use the Alligator as part of a broader trading system, and remember that consistent learning and discipline are key to success in trading.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
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The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc.
[3Commas] DCA Bot TesterDCA Bot Tester
🔷What it does: A tool designed to simulate the behavior of a Dollar Cost Averaging (DCA) strategy based on input signals from a source indicator. Additionally, it enables you to send activation signals to 3Commas Bots via TradingView webhooks.
🔷Who is it for: This tool is ideal for those who want a visual representation and strategy report of how a DCA Bot would perform under specific conditions. By adjusting the parameters, you can assess whether the strategy aligns with your risk/reward expectations before implementation, helping you save time and protect your capital.
🔷How does it work: The tool leverages a pyramiding function to simulate price averaging, mimicking how a DCA Bot operates. It calculates volume-based averaging and, upon reaching the target, closes the positions. Conversely, if the target isn't reached, a Stop Loss is triggered, potentially resulting in significant losses if improperly configured.
🔷Why It’s Unique
Easy visualization of DCA Bot entry and exit points according to user preferences.
DCA Bot Summary table same as the one shown in the new 3Commas interface.
Use plots from other indicators as Entry Trigger Source, with a small modification of the code.
Option to Review message format before sending Signals to 3Commas. Compatibility with Multi-Pair, and futures contract pairs.
Option to filter signals by session and day according to the user’s timezone.
👉 Before continuing with the explanation of the tool, please take a few minutes to read this information, paying special attention to the risks of using DCA strategies.
DCA Bot: What is it, how does it work, and what are its advantages and risks?
A DCA Bot is an automated tool designed to simplify and optimize your trading operations, particularly in cryptocurrencies. Based on the concept of Dollar Cost Averaging (DCA) , this bot implements scaled strategies that allow you to distribute your investments intelligently. The key lies in dividing your capital into multiple orders, known as base orders and safety orders, which are executed at different price levels depending on market conditions.
These bots are highly customizable, meaning you can adapt them to your goals and trading style, whether you're operating Long (expecting a price increase) or Short (expecting a price decrease). Their primary purpose is to reduce the impact of entries that move against the estimated direction and ensure you achieve a more favorable average price.
🔸 Key Features of DCA Bots
Customizable configuration: DCA bots allow you to adjust the size of your initial investment, the number of safety orders, and the price levels at which these orders execute. These orders can be equal or incremental, depending on your risk tolerance.
Scaled safety orders: If the asset's price moves against your position, the bot executes safety orders at strategic levels to average your entry price and increase your chances of closing in profit.
Automatic Take Profit: When the predefined profit level is reached, the bot closes the position, ensuring net gains by averaging all entries made using the DCA strategy.
Stop Loss option: To protect your capital, you can set a stop loss level that limits losses if the market moves drastically against your position.
Flexibility: Bots can integrate with 3Commas technical indicators or external signals from TradingView, allowing you to trade in any trend, whether bullish or bearish.
Support for multiple assets: You can trade cryptocurrency pairs and exchanges compatible with 3Commas, offering a wide range of possibilities to diversify your strategies.
✅ Advantages of DCA Bots
Time-saving automation: DCA bots eliminate the need for constant market monitoring, executing your trades automatically and efficiently based on predefined settings.
Favorable averages in volatile markets: By averaging your entries, the bot can offer more competitive prices even under adverse market conditions. This increases your chances of recovering a position and closing it profitably.
Advanced capital management: With customizable settings, you can adjust the size of base and safety orders to optimize capital usage and reduce risk.
Additional protection: The ability to set a stop loss ensures your losses are limited, safeguarding your capital in extreme scenarios.
⚠️ Risks of Using a DCA Bot
Requires significant capital: Safety orders can accumulate quickly if the price moves against your position. This issue is compounded if increasing amounts are used for safety orders, which can immobilize large portions of capital in adverse markets.
Markets lacking clear direction: During consolidation periods or erratic movements, the bot may generate unrealized losses and make position recovery difficult.
Opportunity cost: Investing in an asset that doesn't show favorable behavior can prevent you from seizing opportunities in other markets.
Emotional pressure: Large investments in advanced stages of the DCA strategy can cause stress, especially if an asset takes too long to reach your take profit level.
Dependence on market recovery: DCA assumes that the price will eventually move in your favor, which does not always happen, especially in assets without solid fundamentals.
📖 Key Considerations for Effectively Using a DCA Bot
Use small amounts for your base and safety orders: Setting small initial orders not only limits capital usage but also allows you to manage multiple bots simultaneously, maximizing portfolio diversification.
Capital management: Define a clear budget and never risk more than you are willing to lose. This is essential for maintaining sustainable operations.
Select assets with strong fundamentals: Apply DCA to assets you understand and that have solid fundamentals and a proven historical growth record. Additionally, analyze each cryptocurrency's fundamentals: What problem does it solve? Does it have a clear use case? Is it viable in the long term? These questions will help you make more informed decisions.
Diversification: Do not concentrate all your capital on a single asset or strategy. Spread your risk across multiple bots or assets.
Monitor regularly: While bots are automated and eliminate the need to monitor the market constantly, it is essential to monitor the bots themselves to ensure they are performing as expected. This includes reviewing their performance and making adjustments if market conditions change. Remember, the goal is to automate trades, but active bot management is crucial to avoid surprises.
A DCA Bot is a powerful tool for traders looking to automate their strategies and reduce the impact of market fluctuations. However, like any tool, its success depends on how it is configured and used. By applying solid capital management principles, carefully selecting assets, and using small amounts in your orders, you can maximize its potential and minimize risks.
🔷FEATURES & HOW TO USE
🔸Strategy: Here you must select the type of signal you are going to analyze and send signals to the DCA Bot, either Long for buy signals or Short for sell signals. This must match the Bot created in 3Commas.
🔸Add a Source Indicator for Entry Triggers
Tradingview allows us to use indicator plots as a source in other indicators, we will use this functionality so that the buy or sell signals of an indicator are processed by the DCA Bot Tester.
In this EXAMPLE we will use a simple strategy that uses a Donchian Channel (DC) and an Exponential Moving Average (EMA).
Trigger to buy or long signal will be when: the price closes above the previous upper level and the average of the upper and lower level (basis) is greater than the EMA.
Trigger sell or short signal will be when: the price closes below the previous lower level and the average of the upper and lower level (basis) is less than the EMA.
trigger_buy = ta.crossover (close,upper ) and basis > ema and barstate.isconfirmed
trigger_sell = ta.crossunder(close,lower ) and basis < ema and barstate.isconfirmed
Then we create the plots that will be used as input source in the DCA Bot Tester indicator.
When a buy condition is given the plot "🟢 Trigger Buy" will have a value of 1 otherwise it will remain at 0.
When a sell condition is given the plot "🔴 Trigger Sell" will have a value of -1 otherwise it will remain at 0.
plot(trigger_buy ? 1 : 0 , '🟢 Trigger Buy' , color = na, display = display.data_window)
plot(trigger_sell? -1 : 0 , '🔴 Trigger Sell', color = na, display = display.data_window)
Here you have the complete code so you can use it and do tests. Basically you just have to define the buy or sell conditions of your preferred indicator or strategy and then create the plots with the same format that will be used in DCA Bot Tester.
//@version=6
indicator(title="Simple Strategy Example", overlay= false)
// Indicator and Signal Triggers
length = input.int(10, title = "DC Length" , display = display.none)
length_ema = input.int(50, title = "EMA Length", display = display.none)
lower = ta.lowest (length)
upper = ta.highest(length)
ema = ta.ema (close, length_ema)
basis = math.avg (upper, lower)
plot(basis, "Basis", color = color.orange, display = display.all-display.status_line)
plot(upper, "Upper", color = color.blue , display = display.all-display.status_line)
plot(lower, "Lower", color = color.blue , display = display.all-display.status_line)
plot(ema , "EMA" , color = color.red , display = display.all-display.status_line)
candlecol = open < close ? color.teal : color.red
plotcandle(open, high, low, close, title='Candles', color = candlecol, wickcolor = candlecol, bordercolor = candlecol, display = display.pane)
trigger_buy = ta.crossover (close,upper ) and basis > ema and barstate.isconfirmed
trigger_sell = ta.crossunder(close,lower ) and basis < ema and barstate.isconfirmed
plotshape(trigger_buy ?close:na, title="Label Buy" , style=shape.labelup , location= location.belowbar, color=color.green, text="B", textcolor=color.white, display=display.pane)
plotshape(trigger_sell?close:na, title="Label Sell", style=shape.labeldown, location= location.abovebar, color=color.red , text="S", textcolor=color.white, display=display.pane)
// ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――
// 👇 Plots to be used in the DCA Bot Indicator as source triggers.
// ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――
plot(trigger_buy ? 1 : 0 , '🟢 Trigger Buy' , color = na, display = display.data_window)
plot(trigger_sell? -1 : 0 , '🔴 Trigger Sell', color = na, display = display.data_window)
To use the example code
Open the Pine Editor, paste the code and then click Add to chart.
Then in the Plot Entry Trigger Source option, we will select 🟢 Trigger Buy, as the plot that will give us the buy signals when it is worth 1, otherwise for the sell signals you must change the value to -1 in the Plot Entry Trigger Value and remember to change the strategy mode to Short.
🔸DCA Settings: Here you need to configure the DCA values of the strategy, you can see the meaning of each value in the Settings Section. Once you are satisfied with the tests configure the 3Commas DCA Bot with the same values so that the Summary Table matches the 3Commas Table. Pay close attention to the Total Volume that the Bot will use, according to the amount of Safety Orders you are going to execute, and that all the values in the table adapt to your risk tolerance.
🔸DCA Bot Deal Start: Once you create the Bot in 3Commas with the same settings it will give you a Deal Start Message, you must copy and paste it in this section, verify that it is the same in the summary table, this is used to be sent through tradingview alerts to the Bot and it can process the signals.
🔸DCA Bot Multi-Pair: A Multi-Pair Bot allows you to manage several pairs with a single bot, but you must specify which pair it will run on. You must activate it if you want to use the signals in a DCA Bot Multi-pair. In the text box you must enter (using the 3Commas format) the symbol for each pair before you create the alert so that the bot understands which pair to work on.
In the following image we would be configuring the indicator to send a signal to activate the bot in the BTCUSDT pair using the given format it would be USDT_BTC, but if we wanted to send a signal in another pair we must change the pair in the chart and also in the configuration, an example with ETHUSDT would be USDT_ETH. After this we could create the alert, and the Mult-Pair Bot would detect it correctly.
🔸Strategy Tester Filters: This is useful if you want to test the strategy's result on a certain time window, the indicator will only enter this range. If disabled it will use all historical data available on the chart. If you are going to use the tool to send signals, make sure to disable the Use Custom Test Period. If you want the entries to only run at a certain time and day, in that case make sure that the timezone matches the one you are using in the chart.
🔸Properties: Adjust your initial capital and exchange commission appropriately to achieve realistic results.
🔸Create alerts to trigger the DCA Bot
Check that the message is the same as the one indicated by the DCA Bot.
In the case of Multi-Pair, enable the option to add the symbol with the correct format.
When creating an alert, select Any alert() function call.
Enter the any name of the alert.
Open the Notifications tab and enable Webhook URL
Paste Webhook URL provided by 3Commas looking in the section How to use TradingView custom signals.
Done, alerts will be sent with the correct format automatically to 3Commas.
🔷 INDICATOR SETTINGS
🔸3Commas DCA Bot Settings
Strategy: Select the direction of the strategy to test Long or Short, this must be the same as the Bot created in 3Commas, so that the signals are processed properly.
DCA Bot Deal Start: Copy and paste the message for the deal start signal of the DCA Bot you created in 3Commas. This is the message that will be sent with the alert to the Bot, you must verify that it is the same as the 3Commas bot so that it can process properly so that it executes and starts the trade.
DCA Bot Multi-Pair: A Multi-Pair Bot allows you to manage several pairs with a single bot, but you must specify which pair it will run on.
DCA Bot Summary Table: Here you can activate the display of table as well as change the size, position, text color and background color.
🔸Source Indicator Settings
Plot Entry Trigger Source: Select a Plot for Entries of the Source Indicator. This refers to the Long or Short entry signal that the indicator will use as BO (Base Order).
Plot Entry Trigger Value: Value of the Source Indicator to Deal Start Condition Trigger. The default value is 1, this means that when a signal is given for example Long in the source indicator, we will use 1 or for Short -1 if there is no signal it will be 0 so it will not execute any entry, please review the example code and adjust the indicator you are going to use in the same way.
🔸DCA Settings
Base Order: The Base Order is the first order the bot will create when starting a new deal.
Safety Order: Enter the amount of funds your safety orders will use to average the cost of the asset being traded.Safety orders are also known as Dollar Cost Averaging and help when prices move in the opposite direction to your bot's take profit target.
Safety Orders Deviation %: Enter the percentage difference in price to create the first Safety Order. All Safety Orders are calculated from the price the initial Base Order was filled on the exchange account.
Safety Orders Max Count: This is the total number of Safety Orders the bot is allowed to use per deal that is opened. All Safety Orders created by the bot are placed as Limit Orders on the exchange's order book.
Safety Orders Volume Scale: The Safety Order Volume Scale is used to multiply the amount of funds used by the last Safety Order that was created. Using a larger amount of funds for Safety Orders allows your bot to be more aggressive at Dollar Cost Averaging the price of the asset being traded.
Safety Orders Step Scale: The Safety Order Step Scale is used to multiply the Price Deviation percentage used by the last Safety Order placed on the exchange account. Using a larger value here will reduce the amount of Safety Orders your bot will require to cover a larger move in price in the opposite direction to the active deal's take profit target.
Take Profit %: The Take Profit section offers tools for flexible management of target parameters: automatic profit upon reaching one or more target levels in percentage.
Stop Loss % | Use SL: To enable Stop Loss, please check the "Use SL" box. This is the percentage that price needs to move in the opposite direction to close the deal at a loss. This must be greater than the sum of the deviations from the safety orders.
🔸Strategy Tester Filters
Use Custom Test Period: When enabled signals only works in the selected time window.. If disabled it will use all historical data available on the chart.
Test Start and End: Once the Custom Test Period is enabled, here you select the start and end date that you want to analyze.
Session Filter | Days | Background: Here you can choose a time zone in which signals will be sent or your strategy will be tested, as well as the days and a background of it. It is important that you use the same timezone as your chart so that it matches.
👨🏻💻💭 If this tool helps you, don’t forget to give it a boost! Feel free to share in the comments how you're using it or if you have any questions.
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The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc.
Liquidity strategy tester [Influxum]This tool is based on the concept of liquidity. It includes 10 methods for identifying liquidity in the market. Although this tool is presented as a strategy, we see it more as a data-gathering instrument.
Warning: This indicator/strategy is not intended to generate profitable strategies. It is designed to identify potential market advantages and help with identifying effective entry points to capitalize on those advantages.
Once again, we have advanced the methods of effectively searching for liquidity in the market. With strategies, defined by various entry methods and risk management, you can find your edge in the market. This tool is backed by thorough testing and development, and we plan to continue improving it.
In its current form, it can also be used to test well-known ICT or Smart Money concepts. Using various methods, you can define market structure and identify areas where liquidity is located.
Fair Value Gaps - one of the entry signal options is fair value gaps, where an imbalance between buyers and sellers in the market can be expected.
Time and Price Theory - you can test this by setting liquidity from a specific session and testing entries as that liquidity is grabbed
Judas Swing - can be tested as a market reversal after a breakout during the first hours of trading.
Power of Three - accumulation can be observed as the market moving within a certain range, identified as cluster liquidity in our tool, manipulation occurs with the break of liquidity, and distribution is the direction of the entry.
🟪 Methods of Identifying Liquidity
Pivot Liquidity
This refers to liquidity formed by local extremes – the highest or lowest prices reached in the market over a certain period. The period is defined by a pivot number and determines how many candles before and after the high/low were higher/lower. Simply put, the pivot number represents the number of adjacent candles to the left and right, with a lower high for a pivot high and a higher low for a pivot low. The higher the number, the more significant the high/low is. Behind these local market extremes, we expect to find orders waiting for breakout as well as stop-losses.
Gann Swing
Similar to pivot liquidity, Gann swing identifies significant market points. However, instead of candle highs and lows, it focuses on the closing prices. A Gann swing is formed when a candle closes above (or below) several previous closes (the number is again defined by a strength parameter).
Percentage Change
Apart from ticks, percentages are also a key unit of market movement. In the search for liquidity, we monitor when a local high or low is formed. For liquidity defined by percentage change, a high must be a certain percentage higher than the last low to confirm a significant high. Similarly, a low must be a defined percentage away from the last significant high to confirm a new low. With the right percentage settings, you can eliminate market noise.
Session Range (3x)
Session range is a popular concept for finding liquidity, especially in smart money concepts (SMC). You can set up liquidity visualization for the Asian, London, or New York sessions – or even all three at once. This tool allows you to work with up to three sessions, so you can easily track how and if the market reacts to liquidity grabs during these sessions.
Tip for traders: If you want to see the reaction to liquidity grab during a specific session at a certain time (e.g., the well-known killzone), you can set the Trading session in this tool to the exact time where you want to look for potential entries.
Unfinished Auction
Based on order flow theory, an unfinished auction occurs when the market reverses sharply without filling all pending orders. In price action terms, this can be seen as two candles at a local high or low with very similar or identical highs/lows. The maximum difference between these values is defined as Tolerance, with the default setting being 3 ticks. This setting is particularly useful for filtering out noise during slower market periods, like the Asian session.
Double Tops and Bottoms
A very popular concept not only from smart money concepts but also among price pattern traders is the double bottom and double top. This occurs when the market stops and reverses at a certain price twice in a row. In the tool, you can set how many candles apart these bottoms/tops can be by adjusting the Length parameter. According to some theories, double bottoms are more effective when there is a significant peak between the two bottoms. You can set this in the tool as the Swing value, which defines how large the movement (expressed in ticks) must be between the two peaks/bottoms. The final parameter you can adjust is Tolerance, which defines the possible price difference between the two peaks/bottoms, also expressed in ticks.
Range or Cluster Liquidity
When the market stays within a certain price range, there’s a chance that breakout orders and stop-losses are accumulating outside of this range. Our tool defines ranges in two ways:
Candle balance calculates the average price within a candle (open, high, low, and close), and it defines consolidation when the centers of candles are within a certain distance from each other.
Overlap confirms consolidation when a candle overlaps with the previous one by a set percentage.
Daily, Weekly, and Monthly Highs or Lows
These options simply define liquidity as the previous day’s, week’s, or month’s highs or lows.
Visual Settings
You can easily adjust how liquidity is displayed on the chart, choosing line style, color, and thickness. To display only uncollected liquidity, select "Delete grabbed liquidity."
Liquidity Duration
This setting allows you to control how long liquidity areas remain valid. You can cancel liquidity at the end of the day, the second day, or after a specific number of candles.
🟪 Strategy
Now we come to the part of working with strategies.
Max # of bars after liquidity grab – This parameter allows you to define how many candles you can search for entry signals from the moment liquidity is grabbed. If you are using engulfing as an entry signal, which consists of 2 candles, keep in mind that this number must be at least 2. In general, if you want to test a quick and sharp reaction, set this number as low as possible. If you want to wait for a structural change after the liquidity grab, which may require more candles, set the number a bit higher.
🟪 Strategy - entries
In this section, we define the signals or situations where we can enter the market after liquidity has been taken out.
Liquidity grab - This setup triggers a trade immediately after liquidity is grabbed, meaning the trade opens as the next candle forms.
Close below, close above - This refers to situations where the price closes below liquidity, but then reverses and closes above liquidity again, suggesting the liquidity grab was a false breakout.
Over bar - This occurs when the entire candle (high and low) passes beyond the liquidity level but then experiences a pullback.
Engulfing - A popular price action pattern that is included in this tool.
2HL - weak, medium, strong - A variation of a popular candlestick pattern.
Strong bar - A strong reactionary candle that forms after a liquidity grab. If liquidity is grabbed at a low, this would be a strong long candle that closes near its high and is significantly larger compared to typical volatility.
Naked bar - A candlestick pattern we’ve tested that serves as a good confirmation of market movement.
FVG (Fair Value Gap) - A currently popular concept. This is the only signal with additional settings. “Pending FVG order valid” means if a fair value gap forms after a liquidity grab, a limit order is placed, which remains valid for a set number of candles. “FVG minimal tick size” allows you to filter based on the gap size, measured in ticks. “GAP entry model” lets you decide whether to place the limit order at the gap close or its edge.
🟪 Strategy - General
Long, short - You can choose whether to focus on long or short trades. It’s interesting to see how long and short trades yield different results across various markets.
Pyramiding - By default, the tool opens only one trade at a time. If a new signal arises while a trade is open, it won’t enter another position unless the pyramiding box is checked. You also need to set the maximum number of open trades in the Properties.
Position size - Simply set the size of the traded position.
🟪 Strategy - Time
In this section, you can set time parameters for the strategy being tested.
Test since year - As the name implies, you can limit the testing to start from a specific year.
Trading session - Define the trading session during which you want to test entries. You can also visualize the background (BG) for confirmation.
Exclude session - You can set a session period during which you prefer not to search for trades. For example, when the New York session opens, volatility can sharply increase, potentially reducing the long-term success rate of the tested setup.
🟪 Strategy - Exits
This section lets you define risk management rules.
PT & SL - Set the profit target (PT) and stop loss (SL) here.
Lowest/highest since grab - This option sets the stop loss at the lowest point after a liquidity grab at a low or at the highest point after a liquidity grab at a high. Since markets usually overshoot during liquidity grabs, it’s good practice to place the stop loss at the furthest point after the grab. You can also set your risk-reward ratio (RRR) here. A value of 1 sets an RRR of 1:1, 2 means 2:1, and so on.
Lowest/highest last # bars - Similar to the previous option, but instead of finding the extreme after a liquidity grab, it identifies the furthest point within the last number of candles. You can set how far back to look using the # bars field (for an engulfing pattern, 2 is optimal since it’s made of two candles, and the stop loss can be placed at the edge of the engulfing pattern). The RRR setting works the same way as in the previous option.
Other side liquidity grab - If this option is checked, the trade will exit when liquidity is grabbed on the opposite side (i.e., if you entered on a liquidity grab at a low, the trade will exit when liquidity is grabbed at a high).
Exit after # bars - A popular exit strategy where you close the position after a set number of candles.
Exit after # bars in profit - This option exits the trade once the position is profitable for a certain number of consecutive candles. For example, if set to 5, the position will close when 5 consecutive candles are profitable. You can also set a maximum number of candles (in the max field), ensuring the trade is closed after a certain time even if the profit condition hasn’t been met.
🟪 Alerts
Alerts are a key tool for traders to ensure they don’t miss trading opportunities. They also allow traders to manage their time effectively. Who would want to sit in front of the computer all day waiting for a trading opportunity when they could be attending to other matters? In our tool, you currently have two options for receiving alerts:
Liquidity grabs alert – if you enable this feature and set an alert, the alert will be triggered every time a candle on the current timeframe closes and intersects with the displayed liquidity line.
Entry signals alert – this feature triggers an alert when a signal for entry is generated based on the option you’ve selected in the Entry type. It’s an ideal way to be notified only when a trading opportunity appears according to your predefined rules.
Double EMA CROSS
Double EMA CROSS (DEC)
Useful for identifying and receiving alerts about uptrends and downtrends.
This script uses two Exponential Moving Averages (EMAs) to find price uptrends and downtrends.
An Exponential Moving Average ( EMA ) is a type of moving average that places a greater weight and significance on the most recent data points.
The script produces uptrend and downtrend signals based on crossovers and divergences between the two EMAs,
the user will be able to spot a trend change (when the EMAs crossover) and to determine the strength of the current trend (when the EMAs diverge).
It is also posible to get alerts for uptrends and downtrends on the web and mobile app with sound and pop-ups as well as via email.
The optimal time to enter and exit the market can be concluded from this trend changes.
The user can set their own EMAs, by default they are set to 25 and 75 periods for medium and long term respectively.
When the medium term EMA crosses below the long term EMA the asset is in a downtrend and the price will decline, and when the
medium term EMA crosses above the long term EMA the asset is in an uptrend and price will increase.
This scripts plots the following indicators and signals on the chart to help the user to identify trends:
1.- Medium and long term EMAs as lines overlaid on the price chart.
2.- Up green triangles above bars when the price is on an uptrend and down red triangles below bars when the price is on a downtrend.
3.- Arrows with text to indicate the start of an uptrend or downtrend.
The user can enable and disable the indicators and signals as well as set colors and shapes to their liking.
This script also lets the user create alerts for uptrends and downtrends. To create a new alert using this script follow this instructions:
1.- Once you added this script to your chart, go to the alerts panel (right on web or bottom tool bar on the mobile app) and add a new alert (alarm clock icon with a plus sign).
2.- A modal window will open. On the “Condition” dropdown menu select “DEC”.
3.- On the next dropdown menu (right below the “Condition” one) you can select.
4.- Lastly you can set all the normal alert options and create the alert.
Trend-following Strategy E v2.7 4HHi All,
Welcome to my third published Trend-following strategy for bitcoin , designed specifically for BITMEX:XBTUSD on 4H.
This is an improvement of my second script (v2.6) to try and reduce 'chop' in consolidating ranges.
In order to set up Alerts for this strategy, I've created a second script called Trend-following Alert E v2.7 4H which you can find here:
Here you will find the "active_long" and "active_long" variables (red and blue lines) that show which positions are being taken by the strategy script.
You can set 'Once per bar close' alerts for this to get your alerts on TV.
For instance, I use 'crossing up @ 0.1' on "active_long" to set an 'Open Long" alert and a 'crossing down @ 0.9' to set a 'Close Long' alert.
The same holds for the 'Open Short' and the 'Close Short' alerts but then for the 'active_short' variable.
As you can see from the backtest I've done my best to create a decent ROI with limited DD.
Compared to the previous version (v2.6), the following has been improved:
- Accuracy has been increased from 49 to 63%
- Max. DD. has been reduced by 40%
- ROI/DD has been increased by 77%
You can also run this backtest/strategy with '100% of equity' but I would advise against trading this as your risk will fundamentally increase.
With a constant order size this strategy should be quite safe to use.
Going from the results it's clear that this strategy excels during clear bull/bear trends but might suffer a little bit during market chop (hopefully less with this update)
There are two inputs that can be modified on this strategy, however I think the current settings are optimal for this market on the 4H candle.
I've also added start and end dates to test specific time periods.
Please let me know if you have any questions.
Trend-following Strategy E v2.6 4H ETHBTCHi All,
Welcome to my first published Trend-following strategy for Ethereum, designed specifically for POLONIEX:ETHBTC on 4H due its long price history.
This script is based on my previously published scripts for bitcoin.
In order to set up Alerts for this strategy, I've created a second script called Trend-following Alert E v2.6 4H ETHBTC which you can find here:
Here you will find the "active_long" and "active_long" variables (red and blue lines) that show which positions are being taken by the strategy script.
You can set 'Once per bar close' alerts for this to get your alerts on TV.
For instance, I use 'crossing up @ 0.1' on "active_long" to set an 'Open Long" alert and a 'crossing down @ 0.9' to set a 'Close Long' alert.
The same holds for the 'Open Short' and the 'Close Short' alerts but then for the 'active_short' variable.
As you can see from the backtest I've done my best to create a decent ROI with limited DD .
You can also run this backtest/strategy with '100% of equity' but I would advise against trading this as your risk will fundamentally increase.
With a constant order size this strategy should be quite safe to use.
Going from the results it's clear that this strategy excels during clear bull/bear trends but might suffer a little bit during market chop.
This is also where ROI tends to stagnate a little bit only then to take off again during a clear trend.
There are two inputs that can be modified on this strategy, however I think the current settings are optimal for this market on the 4H candle.
I've also added start and end dates to test specific time periods.
Please let me know if you have any questions.
Trend-following Strategy E v2.6 4HHi All,
Welcome to my second published Trend-following strategy for bitcoin , designed specifically for BITMEX:XBTUSD on 4H.
This is an extension of my first script but then for the 4H timeframe.
In order to set up Alerts for this strategy, I've created a second script called Trend-following Alert E v2.6 4H which you can find here:
Here you will find the "active_long" and "active_long" variables (red and blue lines) that show which positions are being taken by the strategy script.
You can set 'Once per bar close' alerts for this to get your alerts on TV.
For instance, I use 'crossing up @ 0.1' on "active_long" to set an 'Open Long" alert and a 'crossing down @ 0.9' to set a 'Close Long' alert.
The same holds for the 'Open Short' and the 'Close Short' alerts but then for the 'active_short' variable.
As you can see from the backtest I've done my best to create a decent ROI with limited DD.
You can also run this backtest/strategy with '100% of equity' but I would advise against trading this as your risk will fundamentally increase.
With a constant order size this strategy should be quite safe to use.
Going from the results it's clear that this strategy excels during clear bull/bear trends but might suffer a little bit during market chop.
This is also where ROI tends to stagnate a little bit only then to take off again during a clear trend.
There are two inputs that can be modified on this strategy, however I think the current settings are optimal for this market on the 2H candle.
I've also added start and end dates to test specific time periods.
Please let me know if you have any questions.
PriceAction & Economic StrategyThis indicator combines price-action logic with macroeconomic data to generate trading signals.
Features:
- Price-action signals: A bullish signal occurs when a candle closes above its open; a bearish signal occurs when a candle closes below its open.
- Signal gap: The indicator includes an input called "Signal Gap (bars)" that defines the minimum number of bars between signals. By default the gap is set to 3, but you can adjust this between 1 and 10 to control signal frequency.
- Alerts: The script defines alert conditions for long and short signals, allowing you to create TradingView alerts that notify you when a new signal occurs.
- Economic data: The script uses TradingView's built-in `request.economic()` function to request U.S. GDP data. The GDP series is plotted in the Data Window for additional macroeconomic context.
How to use:
1. Add the indicator to a chart.
2. Open the indicator's settings and adjust the "Signal Gap (bars)" input to set the minimum bar gap between signals.
3. Look for green triangles plotted below the bars (bullish signals) and red triangles plotted above the bars (bearish signals). These appear only when the gap criterion is met.
4. If you want alerts, click the Alert button in TradingView, select this indicator, and choose either the Long or Short alert conditions.
5. To view the GDP data, open the Data Window; the GDP value will be shown alongside other series for each bar.
6. Use these signals in combination with your own analysis; this indicator is for educational purposes and does not constitute financial advice.
Quantum Flux Universal Strategy Summary in one paragraph
Quantum Flux Universal is a regime switching strategy for stocks, ETFs, index futures, major FX pairs, and liquid crypto on intraday and swing timeframes. It helps you act only when the normalized core signal and its guide agree on direction. It is original because the engine fuses three adaptive drivers into the smoothing gains itself. Directional intensity is measured with binary entropy, path efficiency shapes trend quality, and a volatility squash preserves contrast. Add it to a clean chart, watch the polarity lane and background, and trade from positive or negative alignment. For conservative workflows use on bar close in the alert settings when you add alerts in a later version.
Scope and intent
• Markets. Large cap equities and ETFs. Index futures. Major FX pairs. Liquid crypto
• Timeframes. One minute to daily
• Default demo used in the publication. QQQ on one hour
• Purpose. Provide a robust and portable way to detect when momentum and confirmation align, while dampening chop and preserving turns
• Limits. This is a strategy. Orders are simulated on standard candles only
Originality and usefulness
• Unique concept or fusion. The novelty sits in the gain map. Instead of gating separate indicators, the model mixes three drivers into the adaptive gains that power two one pole filters. Directional entropy measures how one sided recent movement has been. Kaufman style path efficiency scores how direct the path has been. A volatility squash stabilizes step size. The drivers are blended into the gains with visible inputs for strength, windows, and clamps.
• What failure mode it addresses. False starts in chop and whipsaw after fast spikes. Efficiency and the squash reduce over reaction in noise.
• Testability. Every component has an input. You can lengthen or shorten each window and change the normalization mode. The polarity plot and background provide a direct readout of state.
• Portable yardstick. The core is normalized with three options. Z score, percent rank mapped to a symmetric range, and MAD based Z score. Clamp bounds define the effective unit so context transfers across symbols.
Method overview in plain language
The strategy computes two smoothed tracks from the chart price source. The fast track and the slow track use gains that are not fixed. Each gain is modulated by three drivers. A driver for directional intensity, a driver for path efficiency, and a driver for volatility. The difference between the fast and the slow tracks forms the raw flux. A small phase assist reduces lag by subtracting a portion of the delayed value. The flux is then normalized. A guide line is an EMA of a small lead on the flux. When the flux and its guide are both above zero, the polarity is positive. When both are below zero, the polarity is negative. Polarity changes create the trade direction.
Base measures
• Return basis. The step is the change in the chosen price source. Its absolute value feeds the volatility estimate. Mean absolute step over the window gives a stable scale.
• Efficiency basis. The ratio of net move to the sum of absolute step over the window gives a value between zero and one. High values mean trend quality. Low values mean chop.
• Intensity basis. The fraction of up moves over the window plugs into binary entropy. Intensity is one minus entropy, which maps to zero in uncertainty and one in very one sided moves.
Components
• Directional Intensity. Measures how one sided recent bars have been. Smoothed with RMA. More intensity increases the gain and makes the fast and slow tracks react sooner.
• Path Efficiency. Measures the straightness of the price path. A gamma input shapes the curve so you can make trend quality count more or less. Higher efficiency lifts the gain in clean trends.
• Volatility Squash. Normalizes the absolute step with Z score then pushes it through an arctangent squash. This caps the effect of spikes so they do not dominate the response.
• Normalizer. Three modes. Z score for familiar units, percent rank for a robust monotone map to a symmetric range, and MAD based Z for outlier resistance.
• Guide Line. EMA of the flux with a small lead term that counteracts lag without heavy overshoot.
Fusion rule
• Weighted sum of the three drivers with fixed weights visible in the code comments. Intensity has fifty percent weight. Efficiency thirty percent. Volatility twenty percent.
• The blend power input scales the driver mix. Zero means fixed spans. One means full driver control.
• Minimum and maximum gain clamps bound the adaptive gain. This protects stability in quiet or violent regimes.
Signal rule
• Long suggestion appears when flux and guide are both above zero. That sets polarity to plus one.
• Short suggestion appears when flux and guide are both below zero. That sets polarity to minus one.
• When polarity flips from plus to minus, the strategy closes any long and enters a short.
• When flux crosses above the guide, the strategy closes any short.
What you will see on the chart
• White polarity plot around the zero line
• A dotted reference line at zero named Zen
• Green background tint for positive polarity and red background tint for negative polarity
• Strategy long and short markers placed by the TradingView engine at entry and at close conditions
• No table in this version to keep the visual clean and portable
Inputs with guidance
Setup
• Price source. Default ohlc4. Stable for noisy symbols.
• Fast span. Typical range 6 to 24. Raising it slows the fast track and can reduce churn. Lowering it makes entries more reactive.
• Slow span. Typical range 20 to 60. Raising it lengthens the baseline horizon. Lowering it brings the slow track closer to price.
Logic
• Guide span. Typical range 4 to 12. A small guide smooths without eating turns.
• Blend power. Typical range 0.25 to 0.85. Raising it lets the drivers modulate gains more. Lowering it pushes behavior toward fixed EMA style smoothing.
• Vol window. Typical range 20 to 80. Larger values calm the volatility driver. Smaller values adapt faster in intraday work.
• Efficiency window. Typical range 10 to 60. Larger values focus on smoother trends. Smaller values react faster but accept more noise.
• Efficiency gamma. Typical range 0.8 to 2.0. Above one increases contrast between clean trends and chop. Below one flattens the curve.
• Min alpha multiplier. Typical range 0.30 to 0.80. Lower values increase smoothing when the mix is weak.
• Max alpha multiplier. Typical range 1.2 to 3.0. Higher values shorten smoothing when the mix is strong.
• Normalization window. Typical range 100 to 300. Larger values reduce drift in the baseline.
• Normalization mode. Z score, percent rank, or MAD Z. Use MAD Z for outlier heavy symbols.
• Clamp level. Typical range 2.0 to 4.0. Lower clamps reduce the influence of extreme runs.
Filters
• Efficiency filter is implicit in the gain map. Raising efficiency gamma and the efficiency window increases the preference for clean trends.
• Micro versus macro relation is handled by the fast and slow spans. Increase separation for swing, reduce for scalping.
• Location filter is not included in v1.0. If you need distance gates from a reference such as VWAP or a moving mean, add them before publication of a new version.
Alerts
• This version does not include alertcondition lines to keep the core minimal. If you prefer alerts, add names Long Polarity Up, Short Polarity Down, Exit Short on Flux Cross Up in a later version and select on bar close for conservative workflows.
Strategy has been currently adapted for the QQQ asset with 30/60min timeframe.
For other assets may require new optimization
Properties visible in this publication
• Initial capital 25000
• Base currency Default
• Default order size method percent of equity with value 5
• Pyramiding 1
• Commission 0.05 percent
• Slippage 10 ticks
• Process orders on close ON
• Bar magnifier ON
• Recalculate after order is filled OFF
• Calc on every tick OFF
Honest limitations and failure modes
• Past results do not guarantee future outcomes
• Economic releases, circuit breakers, and thin books can break the assumptions behind intensity and efficiency
• Gap heavy symbols may benefit from the MAD Z normalization
• Very quiet regimes can reduce signal contrast. Use longer windows or higher guide span to stabilize context
• Session time is the exchange time of the chart
• If both stop and target can be hit in one bar, tie handling would matter. This strategy has no fixed stops or targets. It uses polarity flips for exits. If you add stops later, declare the preference
Open source reuse and credits
• None beyond public domain building blocks and Pine built ins such as EMA, SMA, standard deviation, RMA, and percent rank
• Method and fusion are original in construction and disclosure
Legal
Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs.
Strategy add on block
Strategy notice
Orders are simulated by the TradingView engine on standard candles. No request.security() calls are used.
Entries and exits
• Entry logic. Enter long when both the normalized flux and its guide line are above zero. Enter short when both are below zero
• Exit logic. When polarity flips from plus to minus, close any long and open a short. When the flux crosses above the guide line, close any short
• Risk model. No initial stop or target in v1.0. The model is a regime flipper. You can add a stop or trail in later versions if needed
• Tie handling. Not applicable in this version because there are no fixed stops or targets
Position sizing
• Percent of equity in the Properties panel. Five percent is the default for examples. Risk per trade should not exceed five to ten percent of equity. One to two percent is a common choice
Properties used on the published chart
• Initial capital 25000
• Base currency Default
• Default order size percent of equity with value 5
• Pyramiding 1
• Commission 0.05 percent
• Slippage 10 ticks
• Process orders on close ON
• Bar magnifier ON
• Recalculate after order is filled OFF
• Calc on every tick OFF
Dataset and sample size
• Test window Jan 2, 2014 to Oct 16, 2025 on QQQ one hour
• Trade count in sample 324 on the example chart
Release notes template for future updates
Version 1.1.
• Add alertcondition lines for long, short, and exit short
• Add optional table with component readouts
• Add optional stop model with a distance unit expressed as ATR or a percent of price
Notes. Backward compatibility Yes. Inputs migrated Yes.
SHALOM TRADING HUB – Bollinger Band SystemSHALOM TRADING HUB – Bollinger Band System (Strategy)
All-in-one BB system with both Breakout and Mean-Reversion modes.
Automatic ENTRY / EXIT / STOP-LOSS, optional Mid-Band Exit, ATR or % risk, and built-in alerts. Backtest-ready.
What it does
Bollinger Bands: Basis = SMA(length); Upper/Lower = ±(mult × StDev).
Signals
Breakout mode
LONG → price crosses above Upper
SHORT → price crosses below Lower
Mean-Reversion mode
LONG → price re-enters above Lower
SHORT → price re-enters below Upper
Risk / Exits
ATR mode: SL = ATR × Mult, TP = SL × Risk:Reward
% mode: SL = %Stop, TP = %Take Profit
Optional Mid-Band (Basis) cross exit.
Visuals: BB lines + active Entry / SL / TP overlays + last-bar price labels.
Alerts: Breakout / Mean-Reversion signals and TP/SL hits.
Inputs (Settings)
Source, Length, Multiplier – BB calculation.
Signal Mode – Breakout or Mean Reversion.
Use ATR Stop/Target? – On = ATR; Off = %.
ATR Length, ATR Mult (SL), Risk:Reward (TP)
% Stop, % Take Profit (when ATR is Off)
Also exit on Mid-Band cross? – On/Off.
Alerts only on bar close? – Filters to confirmed bars.
Entry / Exit / Stop
Entry: Auto when the chosen signal condition triggers.
Stop-Loss: Placed from ATR or % settings.
Take-Profit: Set by R:R or % settings.
Mid-Band Exit (optional):
LONG → exit if close < Basis
SHORT → exit if close > Basis
Alerts (How-to)
Add the strategy to the chart → click Alerts (⚠️).
Condition: “SHALOM BB System” → choose:
BB Breakout LONG / SHORT
BB Mean-Reversion LONG / SHORT
Long TP Hit / Long SL Hit / Short TP Hit / Short SL Hit
Choose Once per bar or Once per bar close.
Backtest Tips
Match timeframe to your instrument.
Tune ATR/Mult, R:R, % to volatility.
Session filter (e.g., 09:20–15:20 IST) can be added easily in code.
Default pyramiding = 0; raise if you want multiple entries.
Liquidity Sweep Breakout - LSBLiquidity Sweep Breakout - LSB
A professional session-based breakout system designed for OANDA:USDJPY and other JPY pairs.
Not guesswork, but precision - built on detailed observation of institutional moves to capture clear trade direction daily.
Master the Market’s Daily Bank Flow.
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Strategy Detail:
I discovered this strategy after carefully studying how Japanese banks influence the forex market during their daily settlement period. Banks are some of the biggest players in the financial world, and when they adjust or settle their accounts in the morning, it often creates a push in the market. From years of observation, I noticed a consistent pattern, once banks finish their settlements, the market usually continues moving in the same direction that was formed right after those actions. This daily banking flow often sets the tone for the entire trading session, especially for JPY pairs like USDJPY.
To capture this move, I built the indicator so that it follows the bank-driven trend with clear rules for entries, stop-loss (SL), and take-profit (TP). The system is designed with professional risk management in mind. By default, it assumes a $10,000 account size, risks only 1% of that balance per trade, and targets a 1:1.5 reward-to-risk ratio. This means for every $100 risked, the potential profit is $150. Such controlled risk makes the system safer and more sustainable for long-term traders. At the same time, users are not limited to this setup, they can adjust the account balance in the settings, and the indicator will automatically recalculate the lot size and risk levels based on their own capital. This ensures the strategy works for small accounts and larger accounts alike.
🌍 Why It Works
Fundamentally driven: Based on **daily Japanese banking settlement flows**.
Session-specific precision: Targets the exact window when USDJPY liquidity reshapes.
Risk-managed: Always calculates lot size based on account and risk preferences.
Automatable: With webhook + MT5 EA, it can be fully hands-free.
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✅ Recommended
Pair: USDJPY (best observed behavior).
Timeframe: 3-Minute chart.
Platform: TradingView Premium (for webhooks).
Execution: MT5 via EA.
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🔎 Strategy Concept
The Tokyo Magic Breakout (TMB) is built on years of session observation and the unique daily rhythm of the Japanese banking system.
Every morning between 5:50 AM – 6:10 AM PKT (09:50 – 10:10 JST), Japanese banks perform daily reconciliation and settlement. This often sets the tone for the USDJPY direction of the day.
This strategy isolates that critical moment of liquidity adjustment and waits for a clean breakout confirmation. Instead of chasing noise, it executes only when price action is aligned with the Tokyo market’s hidden flows.
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🕒 Timing Logic
Session Start: 5:00 AM PKT (Tokyo market open range).
Magic Candle: The 5:54 AM PKT candle is marked as the reference “breakout selector.”
Checkpoints: First confirmation at 6:30 AM PKT, then every 15 minutes until 8:30 AM PKT.
* If price stays inside the magic range → wait.
* If a breakout happens but the candle wick touches the range → wait for the next checkpoint.
* If by 8:30 AM PKT no clean breakout occurs → the day is marked as No Trade Day (NTD).
👉 Recommended timeframe: 3-Minute chart (3M) for precise signals.
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📈 Trade Execution
Entry: Clean break above/below the magic candle’s range.
Stop-Loss: Opposite side of the Tokyo session high/low.
Take-Profit: Calculated by Reward\:Risk ratio (default 1.5:1).
Lot Size: Auto-calculated based on your risk model:
* Fixed Dollar
* % of Equity
* Conservative (minimum of both).
Visuals include:
✅ Entry/SL/TP lines
✅ Shaded risk (red) and reward (green) zones
✅ Trade labels (Buy/Sell with lot size & levels)
✅ TP/SL hit markers
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🔔 Alerts & Automation (AutoTMB)
This strategy is fully automation-ready with EA + MT5:
1. Enable alerts in TMB settings.
2. Insert your PineConnector License Key.
3. Configure your risk management preferences.
4. Create a TradingView alert → in the message box simply type:
Pine Script®
{{alert_message}}
and set the EA webhook.
Now, every breakout trade (with exact entry, SL, TP, and lot size) is sent instantly.
👉 On your MT5:
* Install the EA.
* Use the same license key.
* Run it on a VPS or local MT5 terminal.
You now have a hands-free trading system: AutoTMB.
DrNon Action Zone📈 Strategy Title:
DrNon Action Zone — EMA Cross with ATR Stop, % Take-Profit, Alerts & Date Range
⸻
🧠 Strategy Concept:
DrNon Action Zone is a long-only trend-following strategy that enters trades when momentum aligns with long-term trend confirmation. It uses:
• EMA Cross (Fast vs. Slow) to identify momentum shift
• Optional EMA Filter based on days to confirm that price is in a “trend zone”
• ATR-based trailing stop for adaptive risk management
• Percentage Take-Profit for reward targeting
• Date Range Filter for focused backtesting or event-based execution
It also includes alerts, visual signals, and full customization via inputs.
⸻
⚙️ Strategy Inputs Explained:
Input Name Description
Fast EMA Length Period of the short-term EMA used for crossover signals (default: 5)
Slow EMA Length Period of the long-term EMA used for crossover signals (default: 200)
ATR Period Period used to calculate the Average True Range (ATR)
ATR Multiplier Multiplies ATR value to calculate the trailing stop distance
Take-Profit % Percentage above entry price to exit the trade for profit
Use EMA Filter? If enabled, long entries require price to be above a customizable EMA filter
EMA Filter Days Number of days used for EMA filter (converted to bars based on chart timeframe)
Use Date Range? Enable or disable the date filter
Start Date / End Date Specify a custom range to apply the strategy
⸻
✅ Long Entry Conditions (The Action Zone):
A long trade is entered when:
1. EMA(Fast) crosses above EMA(Slow)
2. If EMA Filter is enabled, Close > EMA(Filter Days)
3. If Date Filter is enabled, current candle is within specified start and end dates
⸻
❌ Exit Conditions:
The strategy will close the position when either:
• Price drops to ATR-based trailing stop, OR
• Price reaches the Take-Profit % target
⸻
🛎️ Alerts:
Alert Name Trigger Condition
Long Entry Alert EMA cross and all filters passed (entry signal triggered)
Exit Alert Price hit ATR Stop or Take-Profit (exit signal triggered)
⸻
📊 Visual Elements:
• Yellow Line — Fast EMA
• Blue Line — Slow EMA
• Purple Line — EMA Filter (based on user-defined days)
• Red Line — ATR-based Trailing Stop
• Lime Line — Take-Profit Level
• Green Triangle — Long Entry Signal (on crossover)
⸻
🧪 Backtesting Tips:
• Adjust EMA Filter Days to simulate different trend conditions (e.g., 100d, 150d, 200d).
• Use ATR Multiplier to adapt the stop-loss to market volatility.
• Combine date filtering with known events (e.g., earnings, FOMC meetings).
• Test in multiple timeframes — 1H, 4H, or Daily for stronger signals.
CryptoGraph Dynamic DCAA system to backtest and automate comprehensive trading strategies
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🟣 Supporting Your Trades
CryptoGraph Dynamic DCA serves as a comprehensive tool on TradingView, designed to refine your approach to cryptocurrency trading. It utilises dynamic dollar-cost averaging (DCA), based on external indicator sources, to provide structured market entry and exit strategies. Suitable for both short-term trading and long-term portfolio management, CryptoGraph Dynamic DCA can offer a methodical way to support your trading decisions.
The tool offers an intuitive interface with inputs for strategy customisation, visualised preferences, and bot alert configurations. It can assist traders seeking precision, adaptability, and control in their trading activities. In the example on the chart above, we use the CryptoGraph Entry Builder (part of CryptoGraph Dynamic DCA package) as an external source for our initial entry (base order) and our safety orders, as well as an external source for our second take profit, which can be configured to be signal based.
🟣 Features
External Entry/Exit sources: The strategy is designed to assist with accurate market entries and exits by utilising signals from external indicators. It offers the flexibility to tailor your trading approach, providing an opportunity to leverage the analytical capabilities of various indicators available on TradingView.
Strategic Direction Control: Configure your strategy to go long, short, or both, adapting to market trends and your trading style.
Leverage Customisation: Tailor your leverage settings for isolated or cross margin to align with your risk tolerance, a liquidation estimation level is plotted on the chart, based on your input settings.
Diverse Entry Points: Utilise base orders and safety orders to diversify your entry points, reducing risk and enhancing potential returns.
Tailored Order Size: Fine-tune your order sizes using margin percentages or fixed contract sizes to fit your strategy’s requirements.
Profit Taking & Loss Prevention: Set take profit levels and stop losses with percentage or ATR-based parameters to secure profits and minimise losses. Options for moving the stop loss to entry after Take Profit 1, with an adjustable buffer, give you control over your risk management.
Max Safety Orders Count: Determine the maximum number of safety orders to manage risk effectively.
Price Deviation for DCA Orders: Specify the minimum price deviation percentage to trigger DCA orders, ensuring strategic order placement.
DCA Size Method: Choose from scaling or fixed-size DCA orders to align with your capital allocation strategy.
Visualisation & Alerts: Analyse your strategy’s performance with a backtest results table and configure bot alerts for automated trading. Auto configuration methods are integrated for multiple automated trading platforms.
🟣 Features Impression
🟣 Usage Guide
1. Strategy Configuration:
Select the appropriate cryptocurrency pair and exchange that corresponds to your trading preferences.
Choose your desired chart timeframe to align with your trading strategy’s temporal scope.
Ensure that you’re utilising the regular candle type for consistent and reliable data interpretation.
Pick an external entry source to trigger your trades based on predefined indicators or conditions.
Determine your take profit and stop loss levels to manage risks and secure earnings effectively.
Configure your DCA (Dollar-Cost Averaging) settings, including safety orders and the scaling method, to enhance entry points and manage investment distribution.
Always consult the tooltips next to each strategy input, to better understand their functions.
2. Backtest and Analysis:
Run backtests with your configured parameters to assess the strategy’s potential performance.
Review the backtest results and statistics tables to understand the strategy’s effectiveness, risk profile, and profitability.
3. Automated Trading Platform Integration:
Connect the strategy to a compatible automated trading platform to enable real-time execution of trades.
Within the trading platform, ensure the proper API setup of the bot’s configuration to align with the signals from the tool.
4. Alert Configuration in TradingView:
Set up the alert conditions in the TradingView tool to match your strategy triggers for entry, exit, take profit, and stop loss.
Configure the connection parameters within the tool to communicate effectively with your chosen automated trading platform
Activate the alerts, ensuring they are set to trigger actions such as order placement, adjustments, or closures as per your strategy’s logic.
5. Capital Management:
Confirm that your initial capital and order size are logically set, keeping in mind that the sum of all deals, especially when using pyramiding with safety orders, should not exceed your initial capital to avoid overexposure.
🟣 Trade Example
A clear example of a trade. Base order entry, safety order 1 fills, take profit 1 hits at 1%, the remainder of the position runs until the exit signal fires.
🟣 Warning
This tool has been developed to support your trading analysis, yet it’s important to acknowledge the inherent risks associated with trading. It is advisable to perform thorough research, assess your risk tolerance, and utilise this tool as one element of an overall trading strategy. Ensure that you only trade with capital that you are prepared to risk. In addition, due to the complexity of the tool, bugs may be found. Please alert us whenever you think you have found a bug in the system.
Cyatophilum Strategy BuilderAn indicator to create strategies, backtest and setup alerts.
The user can choose one or multiple TA entry conditions, if more than one the conditions are combined with a logical AND.
The entries will open up a trade, which is then handled by a risk management system including Trailing Stop, Take Profit and up to 100 Safety Orders.
This indicator can be used to backtest 3commas DCA bots who are using TA presets, RSI or ULT.
Its main goal is to create strategies by combining indicators.
Let's dive into the details of what's included:
Entry Condition: MACD
Triggers an entry when macd crosses with the signal line.
Configure the fast, slow length, signal smoothing and timeframe to trigger the condition.
Entry Condition: RSI
Triggers an entry when the RSI is higher or lower than the long/short threshold.
Configure the length, timeframe, long and short threshold to trigger the condition.
Entry Condition: ULT (Ultimate Oscillator)
Triggers an entry when the ULT is higher or lower than the long/short threshold.
Configure the 3 lengths, timeframe, long and short threshold to trigger the condition.
Entry Condition: Bollinger Bands
Triggers an entry when the price is above the upper band for long and below the lower band for short.
Configure the length, standard deviation and timeframe to trigger the condition.
Entry Condition: MFI (Money Flow Index)
Similar to RSI, it triggers an entry when the MFI is higher or lower than the long/short threshold.
Configure the length, timeframe, long and short threshold to trigger the condition.
Entry Condition: CCI (Commodity Channel Index)
Another oscillator that triggers an entry when its value is higher or lower than the long/short threshold.
Configure the length, timeframe, long and short threshold to trigger the condition.
Trend Filters
Use one or two trendlines to filter your trades: go only long/short when the trendline is bullish/bearish.
Choose between the several trendlines: ema, sma, wma, hull ma, kama, alma, rma, swma, vwma, Tilson T3, and the unique Adaptive T3 and Adaptive Hull MA.
If this is not enough, you can use the external trendline feature to plug in any other indicator for your trendline.
The second trendline can be MTF and come from another symbol if needed.
Combining Indicators
Most of the time we will not be using a single indicator at a time, but instead, combine them in order to get stronger entries.
The entry conditions are combined using a AND logical gate, meaning all conditions must be true for the entry to trigger.
Here is an example using a combination of 2 indicators: Bollinger Bands and RSI.
We can see less entries are being triggered on the bottom chart than on the top chart because the bottom chart is combining the 2 indicators while the top chart is only using Bollinger Bands.
You can combine up to all 6 indicators if you want, but keep in mind that combining too many may lead to triggering no entry at all.
Risk Management and Trade system
The indicator will not trigger more than one long or short entry in a row.
To start a new trade, the indicator will wait for either take profit, stop loss or an opposite entry if no SL and TP is set.
Stop Loss and Take Profit
Configure your stop loss and take profit for long and short trades.
You can also make a trailing stoploss and a trailing take profit.
Safety Orders
Just like 3commas bots, you can create a strategy with up to 100 safety orders.
Configure their placement and order size using the price deviation, step scale, take profit type (from base order or total volume), and volume scale settings.
Note: only the 20 first safety order steps or so will be plotted due to graphic limiations. The steps after that still trigger alerts and backtest results.
Creating Alerts
The indicator is using the newest alert system:
1. Write your alert messages in the indicator settings (alert section at the bottom)
2. Click "Create Alert" as usual, but choose "alert() function calls only"
Data Window
Since the indicator is applied on top of the price chart, the oscillator indicators cannot be plotted. You can always add them on another pane but if you want to just see their values, you can use the Data Window to see the value of each oscillator on each bar.
Backtest settings
Used to get the results below:
Initial Capital: 100 000$
Base Order Size: 0.1 contract (BTC)
Safety Order Size: 0.1 contract (BTC)
Commission: 0.1%
Slippage: 100 ticks
pyramiding: 6
The indicator settings are plotted in the main chart panel.
CHOP Zone Entry Strategy + DMI/PSAR ExitThis is a Strategy with associated visual indicators and Long/Short and Reverse/Close Position Alerts for the Choppiness Index (CHOP) . It is used to determine if the market is choppy (trading sideways) or not choppy (trading within a trend in either direction). CHOP is not directional, so a DMI script was ported into this strategy to allow for trend confirmation and direction determination; it consists of an Average Directional Index (ADX) , Plus Directional Indicator (+DI) and Minus Directional Indicator (-DI) . In addition, a Parabolic SAR is also included to act as a trailing stop during any strong trends.
Development Notes
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This indicator, and most of the descriptions below, were derived largely from the TradingView reference manual. Feedback and suggestions for improvement are more than welcome, as well are recommended Input settings and best practices for use.
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Recommend using the below DMI and PSAR indicators in conjunction with this script to fully visualize and understand how entry and exit conditions are chosen. Variable inputs should correlate between the scripts for uniformity and visual compatibility.
THANKS to LazyBear and his Momentum Squeeze script for helping me quickly develop a momentum state model for coloring the Chop line by trend.
Strategy Description
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CHOP produces values that determine whether the market is choppy or trending . The closer the value is to 100 , the higher the choppiness levels , while the closer it is to 0 , the stronger the market is trending . Territories for both levels, and their associated upper and lower thresholds, are popularly defined using the Fibonacci Retracements, 61.8 and 38.2.
Basic Use
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CHOP is often used to confirm the market condition to help you stay out of sideways markets and only enter when there is movement or imminent explosions. When readings are above the upper threshold, continued sideways movement may be expected, while readings below the lower threshold are typically indicative of a continuing trend. It is also used to anticipate upcoming trendiness changes, with the general belief that extended periods of consolidation (sideways movement) are followed by extended periods of strong, trending, directional movement, and vice versa.
One limitation in this index is that you must be cautious in deciding whether the range or trend will likely continue, or if it will reverse.
Confidence in price action and trend is higher when two or more indicators are in agreement -- while this strategy combines CHOP with both DMI and PSAR, we would still recommend pairing with other indicators to determine entry or exit trade opportunities.
Recommend also choosing 'Once Per Bar Close' when creating alerts.
Inputs
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Strategy Direction - an option to only trade Short, Long, Both, or only in the direction of the Trend (Follow Trend is the Default).
Sensitivity - an incremental variable to test whether the past n candles are in the same trend state before triggering a delayed long or short alert (1 is the Default). Can help filter out noise and reduces active alerts.
Show Chop Index - two visual styles are provided for user preference, a visible Chop line with a background overlay, or a compact column and label only view.
Chop Lookback Period - the time period to be used in calculating CHOP (14 is the Default).
Chop Offset - changing this number will move the CHOP either forwards or backwards relative to the current market (0 is the Default).
Smooth Chop Line and Length - if enabled, the entered time period will be used in calculating a smooth average of the index (Enabled and 4 are the Defaults).
Color Line to Trend Direction - toggles whether the index line is colored to visually depict the current trend direction (Enabled is the Default).
Color Background - toggles the visibility of a background color based on the index state (Enabled is the Default).
Enable DMI Option - if enabled, then entry will be confirmed by and dependent on the ADX Key Level, with any close or reversal confirmed by both ADX and +/-DI to determine whether there is a strong trend present or not (Enabled is the Default).
ADX Smoothing - the time period to be used in calculating the ADX which has a smoothing component (14 is the Default).
DI Length - the time period to be used in calculating the DI (14 is the Default).
ADX Key Level - any trade with the ADX above the key level is a strong indicator that it is trending (23 to 25 is the suggested setting).
Enable PSAR Option - enables trailing stop loss orders (Enabled is the Default).
PSAR Start - the starting value for the Acceleration Force (0.015 is our chosen Default, 0.02 is more common).
PSAR Increment - the increment in which the Acceleration Force will move (0.001 is our chosen Default, 0.02 is more common).
PSAR Max Value - the maximum value of the Acceleration Factor (0.2 is the Default).
Color Candles Option - an option to transpose the CHOP condition levels to the main candle bars. Note that the outer red and green border will still be distinguished by whether each individual candle is bearish or bullish during the specified timeframe.
Note too that if both DMI and PSAR are deselected, then close determinations will default to a CHOP reversal strategy (e.g., close long when below 38.2 and close short when above 61.8). Though if either DMI or PSAR are enabled, then the CHOP reversal for close determination will automatically be disabled.
Indicator Visuals
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For the candle colors, black indicates tight chop (45 to 55), yellow is loose chop (38.2 to 45 and 55 to 61.8), dark purple is trending down (< 38.2), and dark blue is trending up (> 61.8).
The background color has additional shades to differentiate a wider range of more levels…
• < 30 is dark purple
• 30 to 38.2 is purple
• 38.2 to 45 is light purple
• 45 to 55 is black
• 55 to 61.8 is light blue
• 61.8 to 70 is blue
• > 70 is dark blue
Long, Short, Close, and Reverse labels are plotted on the Chop line, which itself can be colored based on the trend. The chop line can also be hidden for a clean and compact, columnar view, which is my preferred option (see example image below).
Visual cues are intended to improve analysis and decrease interpretation time during trading, as well as to aid in understanding the purpose of this strategy and how its inclusion can benefit a comprehensive trading plan.
DMI and Trend Strength
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To analyze trend strength, the focus should be on the ADX line and not the +DI or -DI lines. An ADX reading above 25 indicates a strong trend , while a reading below 20 indicates a weak or non-existent trend . A reading between those two values would be considered indeterminable. Though what is truly a strong trend or a weak trend depends on the financial instrument being examined; historical analysis can assist in determining appropriate values.
DMI exits trade when ADX is below the user selected key level (e.g., default is 25) and when the +/- DI lines cross (e.g., -DI > +DI exits long position and +DI > -DI exits short position).
PSAR and Trailing Stop
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PSAR is a time and price based indicator that excels at measuring direction and duration, though not the actual strength of a trend, which is why we use this in conjunction with DMI. It is also included in this script as a trailing stop option to maximize gains during strong trends and to mitigate any false ADX strengthening signals.
This creates a parabola that is located below the candle during a Bullish trend and above during a Bearish trend. A buy or reversal is signaled when the price crosses above or below the Parabolic SAR.
Long/Short Entry
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1. CHOP must be over 61.8 (long) or under 38.2 (short).
2. If DMI is enabled, then the ADX signal line must be above the user selected Key Level (default is 25).
3. If Sensitivity is selected, then that past candle must meet the criteria in step 1, as well as all the intermediate candles in between.
4. If "Follow Trend" is selected and PSAR is enabled, then a long position can only open when the momentum and PSAR are in an uptrend, or short when both are in a downtrend, to include all intermediate candles if the Sensitivity option is set on a past candle.
Close/Reverse
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1. If DMI is enabled, then a close flag will be raised when the ADX signal drops below the Key Level (of 25), and -DI crosses over +DI (if long), or +DI crosses over -DI (if short).
2. If PSAR is enabled, then a close flag will be raised when the current trend state is opposite the last state.
3. If both DMI and PSAR are disabled, then a close flag will be raised if the Chop line drops under 38.2 (if long) or goes over 61.8 (if short).
4. If a Long or Short Entry is triggered on the same candle as any of the above close flags, then the position will be reversed, else the position will be closed.
Strategy Alerts
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1. Long Entry
2. Short Entry
3. Reverse
4. Close
The provided backtest result is based on a position sizing of 10% equity with 100k initial capital. When testing SPX, disabling the DMI performed the best, but EURUSD performed poorly without it enabled, and TSLA had a small reduction in net profit. Timeframe likewise differed between commodities with TSLA performing best at 30M, SPX at 15M, and EURUSD at 4H. I do not plan on using this as a standalone strategy, but I also was expecting better results with the inclusion of EMI and PSAR to compliment the CHOP. Key elements of this script will likely be included in future, more holistic strategies.
Disclaimer
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Past performance may not be indicative of future results. Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting. This post and the script are not intended to provide any financial advice. Trade at your own risk.
No known repainting, though there may be if an offset is introduced in the Inputs. I did my best not to code any other variables that repaint, but cannot fully attest to this fact.
DMT 369 DRAGRONFLY STRATSuccessful traders trade with a fixed plan and without emotion, but this a lot harder than many new traders think. Many never master this skill and suffer continual drawdowns on their accounts as they overtrade high leverage positions in volatile markets.
ĐΜŦ Autobot resolves this issue by taking the human element out of the equation, allowing full automation of trades using TradingView alerts to trigger your favourite trading bot, such as Alertatron or 3Commas.
Being a Trend Reversal Indicator based on Volatility & Average True Range, ĐΜŦ Autobot is designed to identify spots in the market that offer suitable scalp and swing trade opportunities.
Due to popular demand we have expanded our ĐΜŦ Autobot product line to include the new ĐΜŦ Autobot Dragonfly 3-6-9 Edition which combines DMT with 3-6-9 Vortex mathematics, our Titan indicator and a multi-ladder scalping strategy to ensure you maintain a preferable average entry when price action moves against your position.
Indicator View
It its default state the DMT Autobot Dragonfly indicator displays key signal information, such as:
• Support & resistance range lines
• Titan Body Small & Large Time Frame lines
• Long & Short entry positions
• Long & Short position ladders
• Profit targets
Dragonfly displays a range between resistance (upper line) and support (lower line) on the chart.
Once the price is granted support in the range the lower line will turn green. As price action develops it will make repeated attempts to test support. If support holds price will attempt to test the resistance line (red).
When resistance is broken and the price is above the upper line, the line will turn blue confirming the bullish momentum and provide a potential buy opportunity.
Price action will make attempts to test the upper line as support and will keep rising while support is granted.
Once support is lost the upper line will become red once more. As price action develops it will make repeated attempts to test resistance. If resistance holds, the price will attempt to test the support line (green).
When support is broken and the price goes below the lower line, the line will turn red confirming the bearish momentum and provide a potential selling opportunity.
Price action will make attempts to test the lower line as resistance and will keep dropping while resistance is granted.
Titan Body
The Titan Body Small & Large time frame options in the indicator add additional trendlines to the chart to provide further clarity and confirmation to the Support & Resistance range indication.
Once price is granted support by the Small Time Frame trend line the line will turn green. As price action develops it will make repeated attempts to test the Small Time Frame support. Once the price is below the Small Time Frame trend line, the line will turn red and can act as resistance in a trend reversal.
When price is granted support by the Large Time Frame trend line the line will turn cyan. As price action develops it will make repeated attempts to test the Large Time Frame support. Once the price is below the Large Time Frame trend line, the line will turn orange and can act as resistance in a trend reversal.
The Titan Body enabled and customized in the indicator’s style settings,
Alert indicators
DMT Autobot Dragonfly Edition generates signals that can be used to scalp trade a volatile asset.
Signals are enabled and customized in the indicator’s input settings Additional options can be found in the options, but it is recommended that these are left at the default, as shown below. The indicator generates many
Entry and Profit levels can be disabled or customized in the indicator’s style settings,
Tradingview Alerts
Using Tradingview alerts, DMT Autobot Dragonfly signals can be used to trigger a trading bot.
To trigger a long or short position, set the Tradingview Alert Condition to DMT 369 Dragonfly and select the long or short option.
It is recommended that long or short positions are configured to trigger Once Per Bar Close
Ladders can also be triggered using alerts. To trigger a ladder order, set the Tradingview Alert Condition to DMT 369 Dragonfly and select the appropriate Long or Short ADD option that is to be triggered by the relevant values defined in the indicator’s configuration.
It is recommended that ladder orders are configured to trigger Once Per Bar,
To trigger a take profit order, set the Tradingview Alert Condition to DMT 369 Dragonfly and select the Long or Short TP option that is to be triggered by the relevant values defined in the indicator’s configuration.
Take profit orders can be configured as Once Per Bar Close or Once Per Minute.
If you wish to trigger a take profit signal immediately when the indicator’s defined take profit value is achieved, then use the Once Per Bar option.
Selecting Once Per Bar Close to generate a take profit signal is a gamble as the candle may close far away from the defined profit target – positive or negative.
While stops can be used, they are not applicable to the recommended ladder strategy.
Ladder Strategy
The DMT Autobot Dragonfly indicator always turns an underwater position into a win by utilizing a ladder strategy.
By using the recommended defaults, the indicator will trigger ladder orders at 3%, 6% & 9% using increasing order sizes,
Order sizes increase exponentially to ensure a good average price is maintained. If you are not using DMT Autobot Dragonfly signals to trigger ladder or take profit orders, please ensure your trading bot is configured to recalculate the new ladder entry and profit target based on the new average position entry price as each ladder is filled.
If you are using DMT Autobot Dragonfly on a leveraged asset, please ensure the leverage position is configured suitably so that your position is not liquidated if the price rapidly moves against you.
If u are looking for more information or access to the script please private msg me in trading view chat thx for support
