MoneyBible XBTUSD BacktesterMoneybible BITMEX:XBTUSD backtester on 10m candlestick . It will be re-optimized monthly.
The script is written in PineScript V.3, makes no use of the security() function and does not use the Trailing Stop-Loss function from TradingView. No repainting issue.
Alert script here :
Cari dalam skrip untuk "the script"
[M10] Ichimoku Keltner Channel Scalper [Backtest]Hey all,
This script combines a couple of popular indicators to create a reliable yet versatile opportunity to automate trades based on the Ichimoku Cloud. The idea is to use bullish/bearish Ichimoku crossovers to enter positions whilst taking advantage of a modified Keltner Channel to exit these positions at maximum profit.
The script has been backtested on various timeframes and proves effective in both trending and ranging markets.
I have also added the ability to limit your positions to only long, or short, if this is of preference.
An alerts version of this script is also available at no cost on my page - enjoy!
Any questions? Let me know!
FREE BACKTEST STRATEGY BTC/USDT 15m Binance LONGA long only strategy for trading BINANCE:BTCUSDT in a 15m timeframe built upon Donchian Channels.
The script is already configured for this market /timeframe.
I built it using my generic version that you can request access by leaving a comment:
To get access to the alert setup version and automate the strategy, you need to purchase a subscription on my website .
Thanks for the feedback/support !
RSI Alligator StrategyHello trading family! Just wanted to give a quick write up and share the new code for the RSI Alligator Strategy. I amended it to show every crossover signal, weak and strong, so we can accurately gauge its effectiveness.
Having played with this for a couple hours now I have learned a few things
-Using Heikin Ashi seems to smooth it out a bit and provides about 20% fewer signals, leading to overall more accuracy. However, it can be misleading as the Heikin Ashi opening price doesn't always line up with the market price, especially in cases of large moves. Overall though it didn't seem too far off except for a few instances.
-Also, using the Heikin Ashi gives you a better idea of the trend, which this indicator is primarily used to detect and exploit.
-Having tested on TF of 1H-1D, overall profitability is found to be highest between 4H-12H, with 1D giving the "safest" longer term signals, and lower TF's generating many more signals due to volatility.
-Instead of waiting for the next signal in order to close, you can often use a crossover/crossunder of the 5 and 13 to close the previous trade, especially if paired with a Heikin Ashi of opposite color (green to close a short, red to close a long)
-You will also notice several instances where the Green 5 period show divergences that aren't visible on the regular RSI, another handy little feature
So far I have still only tested this on BTCUSD. Feel free to apply it to any coin and let me know what you find.
Here is the script. If you have any ideas or suggestions please let me know!
CryptoWise4hETHstrategyCrypto Wise 4h ETH Trading Script with Alerts
ETH is very volatile, and that's what makes this script great: Being able to catch the next Move Up or Down.
No repainting.
Better to be used on a 4hr Chart.
No indicator is perfect, but when it gets integrated into a great strategy, and used together with other indicators like the Stoch RSI , you can easily make great trades.
You can get access to the script for $20 / month. Payments accepted in BTC, ETH, LTC, BCH.
72hr Trial given upon request.
Crypto Reversal Scalper DEMO / FREE BacktesterCrypto Reversal Scalper Lite
This is a lite version of:
This script allows anyone to try out the capability of the script with restrictions to some features. If you want to unlock all the features, consider upgrading.
Full version also includes alerts for automated trading.
XPloRR MA-Trailing-Stop StrategyXPloRR MA-Trailing-Stop Strategy
Long term MA-Trailing-Stop strategy with Adjustable Signal Strength to beat Buy&Hold strategy
None of the strategies that I tested can beat the long term Buy&Hold strategy. That's the reason why I wrote this strategy.
Purpose: beat Buy&Hold strategy with around 10 trades. 100% capitalize sold trade into new trade.
My buy strategy is triggered by the fast buy EMA (blue) crossing over the slow buy SMA curve (orange) and the fast buy EMA has a certain up strength.
My sell strategy is triggered by either one of these conditions:
the EMA(6) of the close value is crossing under the trailing stop value (green) or
the fast sell EMA (navy) is crossing under the slow sell SMA curve (red) and the fast sell EMA has a certain down strength.
The trailing stop value (green) is set to a multiple of the ATR(15) value.
ATR(15) is the SMA(15) value of the difference between the high and low values.
The scripts shows a lot of graphical information:
The close value is shown in light-green. When the close value is lower then the buy value, the close value is shown in light-red. This way it is possible to evaluate the virtual losses during the trade.
the trailing stop value is shown in dark-green. When the sell value is lower then the buy value, the last color of the trade will be red (best viewed when zoomed)(in the example, there are 2 trades that end in gain and 2 in loss (red line at end))
the EMA and SMA values for both buy and sell signals are shown as a line
the buy and sell(close) signals are labeled in blue
How to use this strategy?
Every stock has it's own "DNA", so first thing to do is tune the right parameters to get the best strategy values voor EMA , SMA, Strength for both buy and sell and the Trailing Stop (#ATR).
Look in the strategy tester overview to optimize the values Percent Profitable and Net Profit (using the strategy settings icon, you can increase/decrease the parameters)
Then keep using these parameters for future buy/sell signals only for that particular stock.
Do the same for other stocks.
Important : optimizing these parameters is no guarantee for future winning trades!
Here are the parameters:
Fast EMA Buy: buy trigger when Fast EMA Buy crosses over the Slow SMA Buy value (use values between 10-20)
Slow SMA Buy: buy trigger when Fast EMA Buy crosses over the Slow SMA Buy value (use values between 30-100)
Minimum Buy Strength: minimum upward trend value of the Fast SMA Buy value (directional coefficient)(use values between 0-120)
Fast EMA Sell: sell trigger when Fast EMA Sell crosses under the Slow SMA Sell value (use values between 10-20)
Slow SMA Sell: sell trigger when Fast EMA Sell crosses under the Slow SMA Sell value (use values between 30-100)
Minimum Sell Strength: minimum downward trend value of the Fast SMA Sell value (directional coefficient)(use values between 0-120)
Trailing Stop (#ATR): the trailing stop value as a multiple of the ATR(15) value (use values between 2-20)
Example parameters for different stocks (Start capital: 1000, Order=100% of equity, Period 1/1/2005 to now) compared to the Buy&Hold Strategy(=do nothing):
BEKB(Bekaert): EMA-Buy=12, SMA-Buy=44, Strength-Buy=65, EMA-Sell=12, SMA-Sell=55, Strength-Sell=120, Stop#ATR=20
NetProfit: 996%, #Trades: 6, %Profitable: 83%, Buy&HoldProfit: 78%
BAR(Barco): EMA-Buy=16, SMA-Buy=80, Strength-Buy=44, EMA-Sell=12, SMA-Sell=45, Strength-Sell=82, Stop#ATR=9
NetProfit: 385%, #Trades: 7, %Profitable: 71%, Buy&HoldProfit: 55%
AAPL(Apple): EMA-Buy=12, SMA-Buy=45, Strength-Buy=40, EMA-Sell=19, SMA-Sell=45, Strength-Sell=106, Stop#ATR=8
NetProfit: 6900%, #Trades: 7, %Profitable: 71%, Buy&HoldProfit: 2938%
TNET(Telenet): EMA-Buy=12, SMA-Buy=45, Strength-Buy=27, EMA-Sell=19, SMA-Sell=45, Strength-Sell=70, Stop#ATR=14
NetProfit: 129%, #Trade
Trend Scalping Strategy Overview
This is a short-term trading strategy designed to capitalize on momentum shifts within a broader trend. It combines multiple technical indicators across different timeframes—including Stochastic, RSI, and custom trend logic—to generate entry and exit signals. The strategy incorporates a time filter to operate only during specified high-liquidity hours and includes a mandatory end-of-session close-out to avoid overnight risk. It is suitable for volatile markets like equities, futures, and cryptocurrencies.
Input Parameters
Source
The price data used for calculations. Default is hl2 (the average of high and low prices).
Short Term Trend (x_len_a)
The period for the short-term RSI calculation. Default is 5. Used to capture recent price momentum.
Long Term Trend (x_len_b)
The period for the Stochastic Oscillator calculation. Default is 60. Defines the medium-to-long-term trend context.
Smooth Long Term Trend (x_k_b)
The smoothing period applied to the Stochastic value (K). Default is 13. Reduces noise for a clearer trend signal.
Clear Short Term Pullback Appears Recently (x_changk)
The lookback period to identify a recent significant pullback. Default is 15.
Threshold of Short Term Pullback Clear (x_rsi_ct)
The RSI level indicating an oversold (for longs) or overbought (for shorts) condition. Default is 35.0.
Threshold of Short Term Pullback End (x_rsi_ft)
The RSI level signaling that the short-term pullback has concluded and momentum is reversing. Default is 50.0.
Exit if Reason Over (x_exit_if_reason_over)
A boolean switch. If enabled, the strategy will automatically close a position if the original entry condition is no longer valid.
Time Filter (Start/End Hour & Minute)
Defines the specific intraday window during which the strategy is active (e.g., 7:00 to 15:10). All trades are initiated and managed only within this window.
Strategy Logic
Indicator Calculation:
y_stoch: The raw Stochastic Oscillator value calculated over the x_len_b period.
y_k: A smoothed version of the Stochastic (y_stoch) using a Simple Moving Average with period x_k_b.
y_rsi: The Relative Strength Index calculated on the Source price over the short-term period x_len_a.
Entry & Exit Conditions:
The core logic generates a composite signal (y_upper for long, y_lower for short) based on three components:
The deviation of the smoothed Stochastic (y_k) from its midpoint (50).
The deviation of the RSI (y_rsi) from its pullback-end threshold (x_rsi_ft).
The extremity of the recent RSI move compared to the pullback-clear threshold (x_rsi_ct) over the x_changk period.
Long Entry (LE): Triggered when the composite signal y_upper is greater than 0 AND the current time is within the allowed trading window.
Short Entry (SE): Triggered when the composite signal y_lower is less than 0 AND the current time is within the allowed trading window.
Conditional Exit: If x_exit_if_reason_over is true, long positions are closed if y_upper <= 0, and short positions are closed if y_lower >= 0.
Time-Based Filter:
The strategy only evaluates entries and exits if the current bar's time falls within the user-defined start_time and end_time range.
Mandatory Close-Out:
A critical risk management feature: All open positions are automatically closed at 16:10 (4:10 PM) based on the chart's timezone, ensuring no positions are held overnight or into the late session.
Plotting
The strategy plots three key series in the indicator pane:
Stochastic (y_stoch): Red line.
Smoothed Stochastic (y_k): Blue line.
RSI (y_rsi): Yellow line.
A hline at 50 serves as a visual midpoint reference for both Stochastic and RSI.
Usage Recommendations
This strategy performs best in markets with high volatility and strong trending characteristics.
It is highly recommended to use this script with a brokerage account that supports and enforces stop-loss orders on the strategy's behalf, as the script itself does not calculate stop-loss levels.
Parameters, especially periods and thresholds, should be optimized for the specific asset and timeframe being traded.
Always conduct rigorous backtesting and forward testing before deploying capital. 策略概述
本策略是一个基于多时间框架动能的短线交易策略，通过结合短期与长期趋势指标、RSI超买超卖判断以及时间过滤机制，在趋势明确时入场，并在特定条件或时间点退出交易。策略适用于股票、期货、加密货币等高频波动的市场。
输入参数说明
数据源（Source）
默认使用 hl2（最高最低价的平均值），也可选择其他价格数据。
短期趋势周期（Short Term Trend）
默认值为5，用于计算短期RSI，捕捉近期价格动量的变化。
长期趋势周期（Long Term Trend）
默认值为60，用于计算随机指标（Stochastic）的周期，判断中长期趋势方向。
长期趋势平滑周期（Smooth Long Term Trend）
默认值为13，对长期随机指标进行平滑处理，减少噪音。
近期回调检测周期（Clear Short Term Pullback Appears Recently）
默认值为15，用于检测短期是否出现明显回调。
RSI超卖阈值（Threshold of Short Term Pullback Clear）
默认值为35.0，RSI低于该值视为短期超卖，可能出现反弹。
RSI回调结束阈值（Threshold of Short Term Pullback End）
默认值为50.0，RSI回升至此表示短期回调结束。
条件失效时退出（Exit if Reason Over）
若启用，当入场条件不再成立时自动平仓。
交易时间范围
可设置策略运行的开始与结束时间（以小时和分钟为单位），仅在指定时间段内交易。
策略逻辑
指标计算：
随机指标（Stochastic）：基于长期周期计算，反映价格在近期区间内的位置。
平滑随机值（y_k）：对随机指标进行移动平均平滑处理。
RSI指标：基于短期周期计算，反映近期价格动量的强弱。
多空判断：
多头信号（y_upper）：
当平滑随机值高于50、RSI高于结束阈值，且近期出现明显超卖回调时，触发做多信号。
空头信号（y_lower）：
当平滑随机值低于50、RSI低于结束阈值，且近期出现明显超买回调时，触发做空信号。
时间过滤：
策略仅在用户设定的时间范围内（例如7:00至15:10）运行，避免在波动性较低或非主力交易时段操作。
强制平仓机制：
每天下午16:10（或指定时间区间）强制平仓所有头寸，避免隔夜风险或尾盘波动。
图表显示
策略在副图中绘制以下三条线：
随机指标（红色）
平滑随机值（蓝色）
RSI指标（黄色）
水平线50：作为多空分界线参考。
使用建议
本策略适合在流动性高、波动性强的市场中运行。
建议配合止损机制使用，以控制单笔交易风险。
用户可根据不同品种调整参数周期和阈值，优化入场时机。
Killzones SMT + IFVG detectorSummary
Killzones SMT + IFVG detector is a rules-based tool that highlights short-term directional setups during defined “killzone” sessions by combining SMT (cross-market divergence between NQ and ES) with strict ICT-style IFVG confirmation. It draws clean, off-candle markers and (if enabled) alerts when conditions are met.
Killzones (what they are and default times)
The tool focuses on intraday windows where liquidity and directional moves commonly concentrate. It records session extremes (H/L) inside these windows and then looks for cross-market divergence and IFVG confirmation around those levels.
20:00–00:00 NY time — Early overnight window where new liquidity forms and prior sessions’ levels are often tested.
02:00–05:00 NY time — European/London activity window; fresh extremes often set here.
09:30–11:00 NY time — U.S. morning data/price discovery window (includes major economic prints at :30).
12:00–13:00 NY time — Midday probe/pause window; sweeps can occur as liquidity thins.
13:30–16:00 NY time — U.S. PM window; continuation/unwind into the session close.
What the script does (high-level mechanics)
Tracks each killzone’s session extremes (recent highs/lows) for NQ and ES and stores a limited number of untouched levels.
Identifies SMT divergence (exclusive sweep) : within the same bar, only one index sweeps a stored session high/low while the other does not.
• Bullish SMT: one index sweeps the low while the other remains above its session low.
• Bearish SMT: one index sweeps the high while the other remains below its session high.
Detection supports Sweep (Cross) with a user-set minimum tick penetration or Exact Tick equality.
After an SMT candidate, the script locks onto a qualifying 3-bar IFVG on the chosen confirmation symbol (NQ or ES). A setup only confirms when the candle closes beyond the IFVG boundary in the candle’s direction (bull close above upper gap for longs; bear close below lower gap for shorts). An optional “re-lock” keeps tracking the newest valid IFVG until confirmation or expiry.
Safety gates reduce low-quality triggers: same-bar high+low sweep on the same symbol suspends new setups until the next killzone; weekend lockout; optional cooldown; and an initial-stop size gate that skips entries when the computed initial SL exceeds a user-defined maximum.
Optional stop/target engine: initial stop from last opposite-candle wick (+ buffer), fixed TP in points, and step-ups to BE → 50% → 80% of target as progress thresholds are reached.
How to use it
Apply to a chart with access to NQ and ES data (e.g., continuous futures).
Select the confirmation symbol (NQ or ES).
Manage risk according to your plan.
*
Alerts: enable SMT Bullish/Bearish and/or Confirm LONG/SHORT; “Once per bar close” is generally recommended.
What markets it is meant for
The logic is designed around the NQ/ES index futures pair on intraday timeframes during common session “killzones.”
Under which conditions
Works best when sessions produce clear highs/lows and a nearby IFVG forms on the confirmation symbol. Expect weaker performance on days with one-sided trend continuation without divergence or when spreads/feeds cause mismatched levels.
Limitations
Signals depend on data quality and session definitions; small variations across feeds/timeframes are normal. Divergence does not guarantee reversal; confirmations can fail. Past performance is not indicative of future results; use prudent risk management.
Strategy Properties used for this publication
Initial capital : $50,000
Commission : 0%(defualt)
Slippage : 0 ticks(default)
Position sizing : 1 contract by default (adjust to account size)
[b} Time frame : 3mins time frame(can also work on any other time frame)
Maiko Range Scalper (Sideways BB + RSI) – v4 cleanPurpose
It’s a range scalping strategy for crypto. It tries to take small, repeatable trades inside a sideways market: buy near the bottom of the range, sell near the middle/top (and the reverse for shorts).
Core idea (two timeframes)
Define the trading range on a higher timeframe (HTF)
You choose the HTF (e.g., 15m or 1h).
The script finds the highest high and lowest low over a lookback window (e.g., last 96 HTF candles) → these become HTF Resistance and HTF Support.
It also calculates the midline (average of support/resistance).
Trade signals on your lower timeframe (LTF)
You run the strategy on a fast chart (e.g., 1m or 5m).
Entries are only allowed inside the HTF range.
Entry logic (mean reversion)
Indicators on the LTF:
Bollinger Bands (length & std dev configurable).
RSI (length & thresholds configurable).
Optional VWAP proximity filter (price must be within X% of VWAP).
Long setup:
Price touches/under-cuts the lower Bollinger band AND RSI ≤ threshold (default 30) AND price is inside the HTF range (and passes VWAP filter if enabled).
Short setup:
Price touches/exceeds the upper Bollinger band AND RSI ≥ threshold (default 70) AND price is inside the HTF range (and passes VWAP filter if enabled).
Exits and risk
Stop-loss: placed just outside the HTF range with a configurable buffer %:
Long SL = HTF Support × (1 − buffer).
Short SL = HTF Resistance × (1 + buffer).
Take-profit (selectable):
Mid band (the Bollinger basis) → conservative, faster exits.
Opposite band / HTF boundary → more aggressive, higher RR but more give-backs.
Position sizing
A simple cap: maximum position size = percent of account equity (e.g., 20%).
The script calculates quantity from that cap and current price.
Plots you’ll see on the chart
HTF Resistance (red) and HTF Support (green) via plot().
HTF Midline (gray dashed) drawn with a line.new() object (because plot() cannot do dashed).
Bollinger basis/upper/lower on the LTF.
Optional VWAP line (only shown if you enable the filter).
Signal markers (green triangle up for Long setups, red triangle down for Short setups).
Alerts
Two alertconditions:
“Long Setup” – when a long entry condition appears.
“Short Setup” – when a short entry condition appears.
Create alerts from these to get notified in real time.
How to use it (quick start)
Add to a 1m or 5m chart of a liquid coin (BTC, ETH, SOL).
Set HTF timeframe (start with 1h) and lookback (e.g., 96 = ~4 days on 1h).
Keep default Bollinger/RSI first; tune later.
Choose TP mode:
“Mid band” for quick scalps.
“Opposite band/Range” if the range is very clean and you want bigger targets.
Set SL buffer (0.15–0.30% is common; adjust for volatility).
Set Max position % to control size (e.g., 20%).
(Optional) Enable VWAP filter to skip stretched moves.
When it works best
Clearly sideways markets with visible support/resistance on the HTF.
High-liquidity pairs where spreads/fees are small relative to your scalp target.
Limitations & safety notes
True breakouts will invalidate mean-reversion logic—your SL outside the range is there to cut losses fast.
Fees can eat into small scalps—prefer limit orders, rebates, and liquid pairs.
Backtest results vary by exchange data; always forward-test on small size.
If you want, I can:
Add an ATR-based stop/target option.
Provide a study-only version (signals/alerts, no trading engine).
Pre-set risk to your €5,000 plan (e.g., ~0.5% max loss/trade) with calculated qty.
EMA inFusion Pro - Multiple SourcesEMA Fusion Pro: Dynamic Trend & Momentum Strategy with Three Exit Modes
EMA Fusion Pro is a highly customizable, multi-exit trend-following strategy designed for traders who value both precision and flexibility. By leveraging exponential moving averages (EMA), average directional index (ADX), and volume analysis, this strategy aims to capture trending market moves while offering three distinct exit modes for optimal risk management across varying market conditions.
Strategy Overview
This strategy systematically identifies potential entry points using a moving average crossover with highly configurable data sources (including price, volume, rate of change, or their Heikin Ashi versions) and filters signal quality with ADX trend strength and volume spikes. Each trade is managed with one of three advanced exit methodologies—reverse signal, ATR-based stop/take profit, or fixed percentage—giving you the control to adapt your risk profile to different market regimes.
Key Features
Customizable EMA Source: Calculate the core trend-filtering EMA from price (default), volume, rate of change, or their Heikin Ashi counterparts for unique market perspectives.
Trend Filter with ADX: Confirm entries only when the trend is strong, as measured by the user-adjustable ADX threshold.
Volume Spike Confirmation: Optional filter to only take trades with above-average volume activity, reducing false signals.
Three Exit Modes:
Reverse Signal: Exit trades when a new, opposite entry signal occurs.
ATR-Based Stop/Take Profit: Dynamic risk management using multiples of the average true range (ATR) for both take profit and stop loss.
Percent-Based Stop/Take Profit: Fixed-percentage risk management with user-defined thresholds.
Visual Annotations: Signal markers, EMA line color-coded by source, trend background coloring, and optional ATR/percent-based TP/SL levels.
Info Panel: Real-time display of all core indicators, current trading mode, exit parameters, and position status for quick oversight.
How It Works
Entry Logic: A crossover signal (above/below the EMA) triggers a new entry, but only if both ADX trend strength and (optionally) volume spike conditions are met.
Exit Logic: Three selectable modes allow you to exit trades on reverse signals, at a dynamic ATR-based profit or loss, or at a fixed percentage gain/loss.
Flexible Data Analysis: The EMA source can be chosen from six options—standard price, volume, rate of change, or their Heikin Ashi variants—allowing experimentation with different market dimensions.
Risk Management: All exits are precisely controlled, either by the next opposing signal, by volatility-adjusted levels, or by fixed risk/reward ratios.
Backtest & Optimization: The strategy is fully backtestable within TradingView’s Strategy Tester, with adjustable parameters for optimization.
Customization & Usage
Indicator Source: Select your preferred data type for EMA calculation, opening the door to creative strategy variations (e.g., volume momentum, pure price trend, rate of change divergence).
Filter Toggles: Enable/disable ADX and volume filters as desired—useful for different market environments.
Exit Mode Selection: Switch between reverse, ATR, or percent-based exits with a single parameter—ideal for adapting to ranging vs. trending markets.
Visual Clarity: The EMA line color reflects its underlying source, and the info panel summarizes all critical values for easy monitoring.
Who Should Use This Strategy?
Trend Followers seeking to ride strong moves with multiple exit options.
Experienced Traders who want to experiment with different data types (volume, momentum, Heikin Ashi) for trend analysis.
Algorithmic Traders looking for a robust, flexible base to build upon with their own ideas.
Getting Started
Apply the script to your chart and review default settings.
Customize parameters—EMA length, ADX threshold, volume settings, exit type—as desired.
Backtest on multiple instruments and timeframes to evaluate performance.
Optimize filters, exit rules, and risk parameters for your preferred trading style.
Monitor with the real-time info panel and trade alerts.
Disclaimer
This script is for educational and entertainment purposes only. It is not financial advice. Past performance is not indicative of future results. Always conduct thorough testing and consider your risk tolerance before trading real capital.
— Happy Trading —
Feel free to adapt, share, and contribute to this open-source strategy!
Ifvgs with Targets
This strategy identifies inversion fair value gaps on the 1-5 minute timeframe that occur with a 5 or 15 minute unfilled fair value gap existing in the direction of the trade.
The script marks out the 5 and 15 minute unfilled gap targets with red and green lines.
The script also calculates how many contracts to enter based on the risk and dollar per point value that you set in the settings.
Trades are triggered upon a candle closure that inverses the fair value gap. When a trade is triggered, a bold red line is drawn at the suggested stop loss (low of the body of the gap), and a bold green line is drawn at the price level that is a 1R distance from the entry.
This strategy will only run on the 1-5 minute timeframes, and is designed specifically for Nasdaq futures (NQ or MNQ).
The suggested way to use this indicator is by adding alerts to be notified when an IFVG occurs.
Add alerts by going to the three dots next to the indicator, selecting "Add alert", and then setting the condition to "alert() function calls only". This will alert you on potential trades before the trade actually triggers on the candle closure, so you have time to look at the setup before the entry.
Do not follow this indicator blindly, always do your own analysis and use this as a tool.
The Barking Rat LiteMomentum & FVG Reversion Strategy
The Barking Rat Lite is a disciplined, short-term mean-reversion strategy that combines RSI momentum filtering, EMA bands, and Fair Value Gap (FVG) detection to identify short-term reversal points. Designed for practical use on volatile markets, it focuses on precise entries and ATR-based take profit management to balance opportunity and risk.
Core Concept
This strategy seeks potential reversals when short-term price action shows exhaustion outside an EMA band, confirmed by momentum and FVG signals:
EMA Bands:
Parameters used: A 20-period EMA (fast) and 100-period EMA (slow).
Why chosen:
- The 20 EMA is sensitive to short-term moves and reflects immediate momentum.
- The 100 EMA provides a slower, structural anchor.
When price trades outside both bands, it often signals overextension relative to both short-term and medium-term trends.
Application in strategy:
- Long entries are only considered when price dips below both EMAs, identifying potential undervaluation.
- Short entries are only considered when price rises above both EMAs, identifying potential overvaluation.
This dual-band filter avoids counter-trend signals that would occur if only a single EMA was used, making entries more selective..
Fair Value Gap Detection (FVG):
Parameters used: The script checks for dislocations using a 12-bar lookback (i.e. comparing current highs/lows with values 12 candles back).
Why chosen:
- A 12-bar displacement highlights significant inefficiencies in price structure while filtering out micro-gaps that appear every few bars in high-volatility markets.
- By aligning FVG signals with candle direction (bullish = close > open, bearish = close < open), the strategy avoids random gaps and instead targets ones that suggest exhaustion.
Application in strategy:
- Bullish FVGs form when earlier lows sit above current highs, hinting at downward over-extension.
- Bearish FVGs form when earlier highs sit below current lows, hinting at upward over-extension.
This gives the strategy a structural filter beyond simple oscillators, ensuring signals have price-dislocation context.
RSI Momentum Filter:
Parameters used: 14-period RSI with thresholds of 80 (overbought) and 20 (oversold).
Why chosen:
- RSI(14) is a widely recognized momentum measure that balances responsiveness with stability.
- The thresholds are intentionally extreme (80/20 vs. the more common 70/30), so the strategy only engages at genuine exhaustion points rather than frequent minor corrections.
Application in strategy:
- Longs trigger when RSI < 20, suggesting oversold exhaustion.
- Shorts trigger when RSI > 80, suggesting overbought exhaustion.
This ensures entries are not just technically valid but also backed by momentum extremes, raising conviction.
ATR-Based Take Profit:
Parameters used: 14-period ATR, with a default multiplier of 4.
Why chosen:
- ATR(14) reflects the prevailing volatility environment without reacting too much to outliers.
- A multiplier of 4 is a pragmatic compromise: wide enough to let trades breathe in volatile conditions, but tight enough to enforce disciplined exits before mean reversion fades.
Application in strategy:
- At entry, a fixed target is set = Entry Price ± (ATR × 4).
- This target scales automatically with volatility: narrower in calm periods, wider in explosive markets.
By avoiding discretionary exits, the system maintains rule-based discipline.
Visual Signals on Chart
Blue “▲” below candle: Potential long entry
Orange/Yellow “▼” above candle: Potential short entry
Green “✔️”: Trade closed at ATR take profit
Blue (20 EMA) & Orange (100 EMA) lines: Dynamic channel reference
⚙️Strategy report properties
Position size: 25% equity per trade
Initial capital: 10,000.00 USDT
Pyramiding: 10 entries per direction
Slippage: 2 ticks
Commission: 0.055% per side
Backtest timeframe: 1-minute
Backtest instrument: HYPEUSDT
Backtesting range: Jul 28, 2025 — Aug 17, 2025
Note on Sample Size:
You’ll notice the report displays fewer than the ideal 100 trades in the strategy report above. This is intentional. The goal of the script is to isolate high-quality, short-term reversal opportunities while filtering out low-conviction setups. This means that the Barking Rat Lite strategy is very selective, filtering out over 90% of market noise. The brief timeframe shown in the strategy report here illustrates its filtering logic over a short window — not its full capabilities. As a result, even on lower timeframes like the 1-minute chart, signals are deliberately sparse — each one must pass all criteria before triggering.
For a larger dataset:
Once the strategy is applied to your chart, users are encouraged to expand the lookback range or apply the strategy to other volatile pairs to view a full sample.
💡Why 25% Equity Per Trade?
While it's always best to size positions based on personal risk tolerance, we defaulted to 25% equity per trade in the backtesting data — and here’s why:
Backtests using this sizing show manageable drawdowns even under volatile periods.
The strategy generates a sizeable number of trades, reducing reliance on a single outcome.
Combined with conservative filters, the 25% setting offers a balance between aggression and control.
Users are strongly encouraged to customize this to suit their risk profile.
What makes Barking Rat Lite valuable
Combines multiple layers of confirmation: EMA bands + FVG + RSI
Adaptive to volatility: ATR-based exits scale with market conditions
Clear, actionable visuals: Easy to monitor and manage trades
The Barking Rat ReversionsMean Reversion with Multi-Layered Precision
The Barking Rat Reversions is a short-term mean reversion strategy tailored for high-volatility markets. It combines several well-established technical tools in a configuration to identify overextended price movements likely to revert toward equilibrium. The goal is to isolate high-quality, short-term reversal opportunities while filtering out low-conviction setups.
At its core, our strategy triggers off Fair Value Gaps (FVGs) that occur a considerable distance away from a dynamically defined equilibrium band. It then validates these gaps by checking proximity to recent support and resistance drawn from swing extremes.
Additional confirmation comes from momentum filters and wick-rejection patterns, ensuring each entry aligns with both price structure and stretched momentum. Exits use volatility-adjusted profit targets. Keeping the approach disciplined and adaptive.
🧠Core Logic: Selectivity & Structure
This strategy is intentionally very selective. We have designed it to filter out roughly 95% of all market noise, highlighting only setups that pass multiple validation layers outlined below.
Fair Value Gaps (FVGs) as the Primary Trigger
FVGs identify imbalance zones where price historically retraces. These inefficient zones often become magnets for reversion as the market seeks to rebalance.
Dynamic Equilibrium Band + S/R
Defines a fair value zone with a long-term moving average and combines it with shorter-term swing pivots to establish support/resistance. Only FVGs that occur outside the band and near recent pivots are considered, ensuring reversals are sufficiently distanced and not taken too close to the mean.
Proximity to Support/Resistance
Setup validity depends on location. The strategy filters for FVGs near well-defined structural levels — areas where price has previously turned (i.e., recent swing highs or lows). This increases the likelihood that reversals are occurring at legitimate zones of confluence.
Wick-Rejection Confirmation
Confirms potential exhaustion through characteristic candle wick patterns beyond the equilibrium region. This acts as another filter to improve signal accuracy.
Sequential Filtered Signals
Custom logic ensures that a new signal in any direction must improve upon the previous one, preventing repetitive or suboptimal entries.
Multi-Step Confirmation
All validation layers must coincide on the same bar before a signal triggers, dramatically reducing false positives.
📈Chart Visuals: Designed for Clarity
To ensure transparency and easy interpretation, the script overlays intuitive visuals:
Green “▲” below a candle: Indicates a potential long entry
Red “▼” above a candle: Indicates a potential short entry
Green “✔️”: Marks exit from a trade when ATR target is met
Background shading (green/red): Indicates trade direction while active
Support/Resistance lines: Auto-plotted from recent swing levels
🔔Alerts: Stay Notified Without Watching
The strategy supports real-time alerts on candle close, ensuring that signals are only triggered once fully confirmed.
You must manually set up alerts within your TradingView account. Once configured, you’ll be able to set up one alert per instrument. This one alert covers all relevant signals and exits — ideal for hands-free monitoring.
⚙️Strategy report properties
Position size: 25% equity per trade
Initial capital: 10,000.00 USDT
Pyramiding: 10 entries per direction
Slippage: 2 ticks
Commission: 0.055% per side
Backtest timeframe: 1-minute
Backtest instrument: HYPEUSDT
Backtesting range: Jul 21, 2025 — Aug 7, 2025
Note on Sample Size:
You’ll notice the report displays fewer than the ideal 100 trades in the strategy report above. This is intentional. The goal of the script is to isolate high-quality, short-term reversal opportunities while filtering out low-conviction setups. This means that the Barking Rat Reversions strategy is ultra-selective, filtering out over 95% of market noise by enforcing multiple validation layers. The brief timeframe shown in the strategy report here illustrates its filtering logic over a short window — not its full capabilities. As a result, even on lower timeframes like the 1-minute chart, signals are deliberately sparse — each one must pass all criteria before triggering.
We conducted a broader backtest covering the period from December 5, 2024 to July 31, 2025, during which the strategy identified 968 high-probability setups on the same instrument and timeframe as the strategy report.
For a larger dataset:
Once the strategy is applied to your chart, users are encouraged to expand the lookback range or apply the strategy to other volatile pairs to view a full sample.
💡Why 25% Equity Per Trade?
While it's always best to size positions based on personal risk tolerance, we defaulted to 25% equity per trade in the backtesting data — and here’s why:
Backtests using this sizing show manageable drawdowns even under volatile periods
The strategy generates a sizeable number of trades, reducing reliance on a single outcome
Combined with conservative filters, the 25% setting offers a balance between aggression and control
Users are strongly encouraged to customize this to suit their risk profile.
🔍What Makes This Strategy Unique?
Multi-factor confirmation using FVGs, EMA deviation, RSI, wick rejection, and S/R
Clean, Intuitive Chart Experience
Real-time alerts triggered only on confirmation
Variables monitor prior reversal points, guaranteeing each new signal offers an improved entry
Tracks active positions and resets filters upon exit.
Strategy Designer
**Strategy Designer**
This script is a highly modular, multi-indicator strategy framework that allows users to enable or disable a wide range of signals for precision trading control. Key components include:
* **AlphaTrend**: A dynamic trailing filter built using ATR volatility combined with directional input from RSI or MFI. It helps define bullish or bearish regimes more responsively than fixed moving averages.
* **Inverse Fisher Transformed Indicators**: The script normalizes and transforms traditional oscillators (CCI, RSI, Stochastic, MFI) using the inverse Fisher transform. This boosts signal clarity by compressing values between -1 and +1, making crossovers and trend thresholds more defined.
* **Composite Indicators**: RSI + MFI and CCI + Stoch are averaged to produce smoother, noise-reduced momentum signals. These are ideal for filtering or confirming entries across multiple timeframes or asset types.
* **Volatility & Trend Filters**:
* **ATR Trend Filter**: Confirms trades only when short-term ATR exceeds its smoothed average, indicating rising volatility or breakout conditions.
* **ADX Filter**: Includes two types of filters—ADX vs its MA and ADX vs threshold—to ensure trade entries only happen during clear trend strength.
* **Moving Averages**: Multiple MA types (SMA, EMA, HMA, WMA, DEMA, TEMA, T3, VWMA) are available for crossover and trend conditions. The structure supports general trend, long-trend, and short-trend configurations independently.
* **Volume Filter**: An optional condition to confirm that volume exceeds a moving average, helping avoid trades in low-liquidity periods.
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**Exit Logic & Risk Management**
This strategy offers powerful and flexible exit controls to suit various risk profiles:
* **Fixed TP/SL**: You can activate classic percentage-based take profit and stop loss levels.
* **ATR-Based Floating Stop**: Dynamically calculates trailing stops based on recent volatility using a smoothed ATR, offering better adaptability in trending environments.
* **Signal-Based Exits**: Includes the ability to exit trades when the original entry conditions reverse (e.g. AlphaTrend flips, Fisher crosses back, MA cross reverses, etc.).
* **Modular Exit Triggers**: Each indicator (CCI, RSI, MFI, Stoch, AlphaTrend, Composite Indicators) can independently trigger an exit based on reversal signals or loss of trend strength.
* **Multi-Layered Protection**: Combine multiple exits (e.g. ATR + AlphaTrend + RSI reversal) to minimize drawdowns and prevent false breakouts.
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This tool is designed for advanced traders and strategy developers who want granular control over both entries and exits. Every module is toggleable, allowing for endless backtest scenarios and tailored setups to match different market conditions or asset classes. Whether you're trend-following or counter-trading reversals, this strategy adapts.
0-5 Box Strategy Tester v4🟩 0-5 Box Strategy Tester v4 — Explained Simply
This script is a modular hourly breakout strategy designed to help traders test and trade breakouts (or pullbacks) from the first 5-minute range of any selected hour. It supports both long and short positions and is optimized for scalping or intraday strategies.
🔑 Core Strategy Logic
Box Formation: At the start of every hour, the script tracks the high and low of the first 5 minutes (e.g., from 9:00 to 9:04).
Trade Trigger: Once price breaks out above or below this 5-minute box (either instantly or after a pullback), it can trigger a long or short entry depending on your settings.
Entry Type: Supports two main styles:
Breakout entry: Buy/sell as soon as price breaks the box.
Pullback re-entry: Wait for price to break the box, pull back, then re-enter on a limit order.
🧪 Smart Entry Filters (Optional but Powerful)
You can refine your trades using several filters:
✅ Previous Hour Direction – Only trade in the direction of the last hour’s candle (bullish/bearish).
🔄 Reversal Filter – Only trade against the previous hour’s direction.
💧 Liquidity Sweep – Require the previous hour’s high or low to be swept first (liquidity-based entry).
🔁 Q2 Confirmation (15–30 min logic) – Confirm price action in the second quarter of the hour (like retests or wick-based logic).
🕒 Max Entry Time – Prevent late trades within the hour (e.g., no entries after minute 45).
📦 Max Range % – Avoid trading during overly volatile hours by filtering out wide boxes.
🕘 Flexible Hour Selection
You can choose to:
Trade all hours
Or select specific hours manually (like 4AM, 9AM, etc.)
📉 Risk & Position Sizing Options
Supports stop-loss and take-profit by:
Points
Percentage
Risk:Reward Ratio
Choose fixed contract size or auto-size based on dollar risk.
📊 Built-In Analytics
The strategy tracks and displays:
Win rate
PnL (total, by hour, by day)
Average drawdown
Risk metrics (Expectancy, Profit Factor, Payoff Ratio)
Hour-by-hour stats (how each hour performs historically)
Day-of-week performance
Visual tables on chart for easy analysis
🧠 Use Cases
This strategy is ideal for:
Futures traders (like NQ/ES/GC) who trade specific sessions (e.g., NY open, London)
Scalpers looking for tight breakouts or pullbacks
Systematic traders backtesting precision setups
Traders using confluence like session breaks, liquidity sweeps, and inside-hour confirmations
MA wiht Logistic [Jsk]This script is published for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Trade at your own risk; the author accepts no liability for any financial loss incurred.
Concept
• Direction is defined by the relationship between price and two moving averages (Fast & Slow).
Long: Close > Fast MA > Slow MA
Short: Close < Fast MA < Slow MA
• Three independent exit modes are available:
1) None – positions are closed only when an opposite signal appears.
2) Percentage – fixed take-profit / stop-loss expressed in % of entry price (default +20 % / –5 %).
3) Logistic – a dynamic take-profit / stop-loss based on a logistic transformation of unrealised P&L.
Key Inputs
• MA Type: EMA, SMA or WMA
• Fast / Slow MA length
• Exit Mode: None | Percentage | Logistic
• Percentage TP / SL values (active when Exit Mode = Percentage)
• Logistic settings: slope k, midpoint, TP / SL probability thresholds (active when Exit Mode = Logistic)
Recommended Use
The script works on any market or timeframe, but MA-based trend filters usually perform better in assets with smooth, directional moves. Always verify results in the Strategy Tester and account for commissions and slippage.
Combo 2/20 EMA & Bandpass Filter by TamarokDescription:
This strategy combines a 2/20 exponential moving average (EMA) crossover with a custom bandpass filter to generate buy and sell signals.
Use the Fast EMA and Slow EMA inputs to adjust trend sensitivity, and the Bandpass Filter Length, Delta, and Zones to fine-tune momentum turns.
Signals occur when both EMA and BPF agree in direction, with optional reversal and time filters.
How to use:
1. Add the script to your chart in TradingView.
2. Adjust the EMA and BP Filter parameters to match your asset’s volatility.
3. Enable ‘Reverse Signals’ to trade counter-trend, or use the time filter to limit sessions.
4. Set alerts on Long Alert and Short Alert for automated notifications.
Inspiration:
Based on HPotter’s original combo strategy (Stocks & Commodities Mar 2010).
Updated to Pine Script v6 with streamlined code and alerts.
WARNING:
For purpose educate only
ALMA Optimized Strategy - Volatility Filter + UT BotThe strategy you provided is an ALMA Optimized Strategy implemented in Pine Script™ version 5 for TradingView. Here is a brief English summary of what it is and how it works:
It is a trend-following strategy combining multiple technical indicators to optimize trade entries and exits.
The core moving average used is the ALMA (Arnaud Legoux Moving Average), known for smoother and less lagging price smoothing compared to traditional EMAs or SMAs.
The strategy also uses other indicators:
Fast EMA (Exponential Moving Average)
EMA 50
ATR (Average True Range) for volatility measurement and dynamic stop loss and take profit levels
RSI (Relative Strength Index) for momentum with overbought/oversold levels
ADX (Average Directional Index) for confirming trend strength
Bollinger Bands as a volatility filter
Buy signals trigger when volatility is sufficient (ATR filter), price is above EMA 50 and ALMA, RSI indicates bullish momentum, ADX confirms trend strength, price is below the upper Bollinger Band, and there is a cooldown period to prevent repeated buys within a short time.
Sell signals are generated when price crosses below the fast EMA.
The strategy manages position entries and exits dynamically, applying ATR-based stop loss and take profit levels, and optionally a time-based exit.
Additionally, the script integrates the UT Bot, an ATR-based trailing stop and signal system, enhancing trade exit precision.
Buy and sell signals are visually marked on the chart with colored triangles for easy identification.
In essence, this strategy blends advanced smoothing (ALMA) with volatility filters and trend/momentum indicators to generate reliable buy and sell signals, while managing risk dynamically through ATR-based stops and profit targets. It aims to adapt to changing market conditions by filtering noise and confirming trends before entering trades.
Breakouts With DXY Filter Strategy [LuciTech]This advanced breakout strategy combines pivot-based breakout detection with an innovative DXY (US Dollar Index) inverse correlation filter to enhance trade selection quality. The strategy identifies breakouts from recent pivot highs and lows while using DXY movements as a confirmation filter, based on the principle that USD strength/weakness often inversely correlates with other asset movements.
Key Features
Core Breakout Logic
- Pivot-Based Detection: Identifies breakouts above recent pivot highs (bullish) and below recent pivot lows (bearish)
- Customizable Lookback: Adjustable pivot length for different market conditions
- Visual Breakout Lines: Optional display of breakout levels with customizable colors
DXY Inverse Correlation Filter
- Smart USD Filter: Uses DXY movements to confirm breakout signals
- Inverse Logic: Long signals require DXY bearishness, short signals require DXY bullishness
- Threshold Control: Minimum DXY movement percentage required for signal confirmation
- Real-time DXY Data: Pulls live DXY data for accurate correlation analysis
Moving Average Filter
- Multiple MA Types: Support for SMA, EMA, WMA, VWMA, and HMA
- Trend Confirmation: Only takes trades in the direction of the selected moving average
- Customizable Parameters: Adjustable length and source for the moving average
Advanced Risk Management
- Multiple Stop Loss Types:
- ATR-based stops with customizable multiplier
- Candle-based stops using previous candle levels
- Fixed point-based stops
- Risk-Reward Optimization: Configurable risk-reward ratios (1:1 to 1:10)
- Breakeven Function: Automatic stop loss adjustment to breakeven after specified R-multiple
- Position Sizing: Percentage-based risk management with automatic position calculation
Time-Based Trading
- Session Filter: Trade only during specified time windows
- London Time Zone: Uses Europe/London timezone for consistency
- Visual Session Highlighting: Optional background fill for active trading hours
Alert System
- Webhook Integration: JSON-formatted alerts for automated trading
- Telegram Support: Pre-formatted messages for Telegram bot integration
- Multiple Formats: Standard, Telegram, and Concise Telegram alert options
- Real-time Notifications: Instant alerts on breakout signals
How It Works
1. Breakout Detection: The script continuously monitors for closes above recent pivot highs or below recent pivot lows
2. DXY Confirmation: When a breakout occurs, the script checks if DXY is moving in the opposite direction with sufficient momentum
3. MA Filter: If enabled, ensures the breakout aligns with the overall trend direction
4. Time Filter: Validates that the signal occurs within the specified trading hours
5. Risk Calculation: Automatically calculates position size based on the defined risk percentage and stop loss distance
6. Trade Execution: Places trades with predetermined stop loss and take profit levels
Unique Advantages
- Multi-Timeframe Approach: Combines asset-specific breakouts with broader USD market sentiment
- False Breakout Reduction: DXY filter helps eliminate breakouts that lack fundamental backing
- Comprehensive Risk Management: Multiple stop loss methods and automatic position sizing
- High Customization: Extensive parameters for different trading styles and market conditions
- Professional Alert System: Ready for automated trading integration
CVD Divergence + Volume HMA RSI MACD StrategyHow the script works:
The script calculates the HMA for trend direction. The HMA (shown in orange) is used as a filter: long trades are taken only if price is above the HMA, and short trades when below.
The CVD is computed by cumulatively adding volume on up bars and subtracting volume on down bars.
Pivot routines (with the input "Pivot Length") detect swing lows/highs for both price and CVD. A bullish divergence is flagged when the price makes a lower low while the CVD makes a higher low. Similarly, a bearish divergence is flagged when the price makes a higher high while the CVD makes a lower high.
Trading is triggered when the divergence condition also agrees with the HMA filter.
Feel free to further adjust the parameters or add risk‐management/exit rules as needed for your trading style.
Pullback Pro Dow Strategy v7 (ADX Filter)
### **Strategy Description (For TradingView)**
#### **Title:** Pullback Pro: Dow Theory & ADX Strategy
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#### **1. Summary**
This strategy is designed to identify and trade pullbacks within an established trend, based on the core principles of Dow Theory. It uses market structure (pivot highs and lows) to determine the trend direction and an Exponential Moving Average (EMA) to pinpoint pullback entry opportunities.
To enhance trade quality and avoid ranging markets, an ADX (Average Directional Index) filter is integrated to ensure that entries are only taken when the trend has sufficient momentum.
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#### **2. Core Logic: How It Works**
The strategy's logic is broken down into three main steps:
**Step 1: Trend Determination (Dow Theory)**
* The primary trend is identified by analyzing recent pivot points.
* An **Uptrend** is confirmed when the script detects a pattern of higher highs and higher lows (HH/HL).
* A **Downtrend** is confirmed by a pattern of lower highs and lower lows (LH/LL).
* If neither pattern is present, the strategy considers the market to be in a range and will not seek trades.
**Step 2: Entry Signal (Pullback to EMA)**
* Once a clear trend is established, the strategy waits for a price correction.
* **Long Entry:** In a confirmed uptrend, a long position is initiated when the price pulls back and crosses *under* the specified EMA.
* **Short Entry:** In a confirmed downtrend, a short position is initiated when the price rallies and crosses *over* the EMA.
**Step 3: Confirmation & Risk Management**
* **ADX Filter:** To ensure the trend is strong enough to trade, an entry signal is only validated if the ADX value is above a user-defined threshold (e.g., 25). This helps filter out weak signals during choppy or consolidating markets.
* **Stop Loss:** The initial Stop Loss is automatically and logically placed at the last market structure point:
* For long trades, it's placed at the `lastPivotLow`.
* For short trades, it's placed at the `lastPivotHigh`.
* **Take Profit:** Two Take Profit levels are calculated based on user-defined Risk-to-Reward (R:R) ratios. The strategy allows for partial profit-taking at the first target (TP1), moving the remainder of the position to the second target (TP2).
---
#### **3. Input Settings Explained**
**① Dow Theory Settings**
* **Pivot Lookback Period:** Determines the sensitivity for detecting pivot highs and lows. A smaller number makes it more sensitive to recent price swings; a larger number focuses on more significant, longer-term pivots.
**② Entry Logic (Pullback)**
* **Pullback EMA Length:** Sets the period for the Exponential Moving Average used to identify pullback entries.
**③ Risk & Exit Management**
* **Take Profit 1 R:R:** Sets the Risk-to-Reward ratio for the first take-profit target.
* **Take Profit 1 (%):** The percentage of the position to be closed when TP1 is hit.
* **Take Profit 2 R:R:** Sets the Risk-to-Reward ratio for the final take-profit target.
**④ Filters**
* **Use ADX Trend Filter:** A master switch to enable or disable the ADX filter.
* **ADX Length:** The lookback period for the ADX calculation.
* **ADX Threshold:** The minimum ADX value required to confirm a trade signal. Trades will only be placed if the ADX is above this level.
---
#### **4. Best Practices & Recommendations**
* This is a trend-following system. It is designed to perform best in markets that exhibit clear, sustained trending behavior.
* It may underperform in choppy, sideways, or strongly ranging markets. The ADX filter is designed to help mitigate this, but no filter is perfect.
* **Crucially, you must backtest this strategy thoroughly** on your preferred financial instrument and timeframe before considering any live application.
* Experiment with the `Pivot Lookback Period`, `Pullback EMA Length`, and `ADX Threshold` to optimize performance for a specific market's characteristics.
---
#### **DISCLAIMER**
This script is provided for educational and informational purposes only. It does not constitute financial advice. All trading involves a high level of risk, and past performance is not indicative of future results. You are solely responsible for your own trading decisions. The author assumes no liability for any financial losses you may incur from using this strategy. Always conduct your own research and due diligence.
VoVix DEVMA🌌 VoVix DEVMA: A Deep Dive into Second-Order Volatility Dynamics
Welcome to VoVix+, a sophisticated trading framework that transcends traditional price analysis. This is not merely another indicator; it is a complete system designed to dissect and interpret the very fabric of market volatility. VoVix+ operates on the principle that the most powerful signals are not found in price alone, but in the behavior of volatility itself. It analyzes the rate of change, the momentum, and the structure of market volatility to identify periods of expansion and contraction, providing a unique edge in anticipating major market moves.
This document will serve as your comprehensive guide, breaking down every mathematical component, every user input, and every visual element to empower you with a profound understanding of how to harness its capabilities.
🔬 THEORETICAL FOUNDATION: THE MATHEMATICS OF MARKET DYNAMICS
VoVix+ is built upon a multi-layered mathematical engine designed to measure what we call "second-order volatility." While standard indicators analyze price, and first-order volatility indicators (like ATR) analyze the range of price, VoVix+ analyzes the dynamics of the volatility itself. This provides insight into the market's underlying state of stability or chaos.
1. The VoVix Score: Measuring Volatility Thrust
The core of the system begins with the VoVix Score. This is a normalized measure of volatility acceleration or deceleration.
Mathematical Formula:
VoVix Score = (ATR(fast) - ATR(slow)) / (StDev(ATR(fast)) + ε)
Where:
ATR(fast) is the Average True Range over a short period, representing current, immediate volatility.
ATR(slow) is the Average True Range over a longer period, representing the baseline or established volatility.
StDev(ATR(fast)) is the Standard Deviation of the fast ATR, which measures the "noisiness" or consistency of recent volatility.
ε (epsilon) is a very small number to prevent division by zero.
Market Implementation:
Positive Score (Expansion): When the fast ATR is significantly higher than the slow ATR, it indicates a rapid increase in volatility. The market is "stretching" or expanding.
Negative Score (Contraction): When the fast ATR falls below the slow ATR, it indicates a decrease in volatility. The market is "coiling" or contracting.
Normalization: By dividing by the standard deviation, we normalize the score. This turns it into a standardized measure, allowing us to compare volatility thrust across different market conditions and timeframes. A score of 2.0 in a quiet market means the same, relatively, as a score of 2.0 in a volatile market.
2. Deviation Analysis (DEV): Gauging Volatility's Own Volatility
The script then takes the analysis a step further. It calculates the standard deviation of the VoVix Score itself.
Mathematical Formula:
DEV = StDev(VoVix Score, lookback_period)
Market Implementation:
This DEV value represents the magnitude of chaos or stability in the market's volatility dynamics. A high DEV value means the volatility thrust is erratic and unpredictable. A low DEV value suggests the change in volatility is smooth and directional.
3. The DEVMA Crossover: Identifying Regime Shifts
This is the primary signal generator. We take two moving averages of the DEV value.
Mathematical Formula:
fastDEVMA = SMA(DEV, fast_period)
slowDEVMA = SMA(DEV, slow_period)
The Core Signal:
The strategy triggers on the crossover and crossunder of these two DEVMA lines. This is a profound concept: we are not looking at a moving average of price or even of volatility, but a moving average of the standard deviation of the normalized rate of change of volatility.
Bullish Crossover (fastDEVMA > slowDEVMA): This signals that the short-term measure of volatility's chaos is increasing relative to the long-term measure. This often precedes a significant market expansion and is interpreted as a bullish volatility regime.
Bearish Crossunder (fastDEVMA < slowDEVMA): This signals that the short-term measure of volatility's chaos is decreasing. The market is settling down or contracting, often leading to trending moves or range consolidation.
⚙️ INPUTS MENU: CONFIGURING YOUR ANALYSIS ENGINE
Every input has been meticulously designed to give you full control over the strategy's behavior. Understanding these settings is key to adapting VoVix+ to your specific instrument, timeframe, and trading style.
🌀 VoVix DEVMA Configuration
🧬 Deviation Lookback: This sets the lookback period for calculating the DEV value. It defines the window for measuring the stability of the VoVix Score. A shorter value makes the system highly reactive to recent changes in volatility's character, ideal for scalping. A longer value provides a smoother, more stable reading, better for identifying major, long-term regime shifts.
⚡ Fast VoVix Length: This is the lookback period for the fastDEVMA. It represents the short-term trend of volatility's chaos. A smaller number will result in a faster, more sensitive signal line that reacts quickly to market shifts.
🐌 Slow VoVix Length: This is the lookback period for the slowDEVMA. It represents the long-term, baseline trend of volatility's chaos. A larger number creates a more stable, slower-moving anchor against which the fast line is compared.
How to Optimize: The relationship between the Fast and Slow lengths is crucial. A wider gap (e.g., 20 and 60) will result in fewer, but potentially more significant, signals. A narrower gap (e.g., 25 and 40) will generate more frequent signals, suitable for more active trading styles.
🧠 Adaptive Intelligence
🧠 Enable Adaptive Features: When enabled, this activates the strategy's performance tracking module. The script will analyze the outcome of its last 50 trades to calculate a dynamic win rate.
⏰ Adaptive Time-Based Exit: If Enable Adaptive Features is on, this allows the strategy to adjust its Maximum Bars in Trade setting based on performance. It learns from the average duration of winning trades. If winning trades tend to be short, it may shorten the time exit to lock in profits. If winners tend to run, it will extend the time exit, allowing trades more room to develop. This helps prevent the strategy from cutting winning trades short or holding losing trades for too long.
⚡ Intelligent Execution
📊 Trade Quantity: A straightforward input that defines the number of contracts or shares for each trade. This is a fixed value for consistent position sizing.
🛡️ Smart Stop Loss: Enables the dynamic stop-loss mechanism.
🎯 Stop Loss ATR Multiplier: Determines the distance of the stop loss from the entry price, calculated as a multiple of the current 14-period ATR. A higher multiplier gives the trade more room to breathe but increases risk per trade. A lower multiplier creates a tighter stop, reducing risk but increasing the chance of being stopped out by normal market noise.
💰 Take Profit ATR Multiplier: Sets the take profit target, also as a multiple of the ATR. A common practice is to set this higher than the Stop Loss multiplier (e.g., a 2:1 or 3:1 reward-to-risk ratio).
🏃 Use Trailing Stop: This is a powerful feature for trend-following. When enabled, instead of a fixed stop loss, the stop will trail behind the price as the trade moves into profit, helping to lock in gains while letting winners run.
🎯 Trail Points & 📏 Trail Offset ATR Multipliers: These control the trailing stop's behavior. Trail Points defines how much profit is needed before the trail activates. Trail Offset defines how far the stop will trail behind the current price. Both are based on ATR, making them fully adaptive to market volatility.
⏰ Maximum Bars in Trade: This is a time-based stop. It forces an exit if a trade has been open for a specified number of bars, preventing positions from being held indefinitely in stagnant markets.
⏰ Session Management
These inputs allow you to confine the strategy's trading activity to specific market hours, which is crucial for day trading instruments that have defined high-volume sessions (e.g., stock market open).
🎨 Visual Effects & Dashboard
These toggles give you complete control over the on-chart visuals and the dashboard. You can disable any element to declutter your chart or focus only on the information that matters most to you.
📊 THE DASHBOARD: YOUR AT-A-GLANCE COMMAND CENTER
The dashboard centralizes all critical information into one compact, easy-to-read panel. It provides a real-time summary of the market state and strategy performance.
🎯 VOVIX ANALYSIS
Fast & Slow: Displays the current numerical values of the fastDEVMA and slowDEVMA. The color indicates their direction: green for rising, red for falling. This lets you see the underlying momentum of each line.
Regime: This is your most important environmental cue. It tells you the market's current state based on the DEVMA relationship. 🚀 EXPANSION (Green) signifies a bullish volatility regime where explosive moves are more likely. ⚛️ CONTRACTION (Purple) signifies a bearish volatility regime, where the market may be consolidating or entering a smoother trend.
Quality: Measures the strength of the last signal based on the magnitude of the DEVMA difference. An ELITE or STRONG signal indicates a high-conviction setup where the crossover had significant force.
PERFORMANCE
Win Rate & Trades: Displays the historical win rate of the strategy from the backtest, along with the total number of closed trades. This provides immediate feedback on the strategy's historical effectiveness on the current chart.
EXECUTION
Trade Qty: Shows your configured position size per trade.
Session: Indicates whether trading is currently OPEN (allowed) or CLOSED based on your session management settings.
POSITION
Position & PnL: Displays your current position (LONG, SHORT, or FLAT) and the real-time Profit or Loss of the open trade.
🧠 ADAPTIVE STATUS
Stop/Profit Mult: In this simplified version, these are placeholders. The primary adaptive feature currently modifies the time-based exit, which is reflected in how long trades are held on the chart.
🎨 THE VISUAL UNIVERSE: DECIPHERING MARKET GEOMETRY
The visuals are not mere decorations; they are geometric representations of the underlying mathematical concepts, designed to give you an intuitive feel for the market's state.
The Core Lines:
FastDEVMA (Green/Maroon Line): The primary signal line. Green when rising, indicating an increase in short-term volatility chaos. Maroon when falling.
SlowDEVMA (Aqua/Orange Line): The baseline. Aqua when rising, indicating a long-term increase in volatility chaos. Orange when falling.
🌊 Morphism Flow (Flowing Lines with Circles):
What it represents: This visualizes the momentum and strength of the fastDEVMA. The width and intensity of the "beam" are proportional to the signal strength.
Interpretation: A thick, steep, and vibrant flow indicates powerful, committed momentum in the current volatility regime. The floating '●' particles represent kinetic energy; more particles suggest stronger underlying force.
📐 Homotopy Paths (Layered Transparent Boxes):
What it represents: These layered boxes are centered between the two DEVMA lines. Their height is determined by the DEV value.
Interpretation: This visualizes the overall "volatility of volatility." Wider boxes indicate a chaotic, unpredictable market. Narrower boxes suggest a more stable, predictable environment.
🧠 Consciousness Field (The Grid):
What it represents: This grid provides a historical lookback at the DEV range.
Interpretation: It maps the recent "consciousness" or character of the market's volatility. A consistently wide grid suggests a prolonged period of chaos, while a narrowing grid can signal a transition to a more stable state.
📏 Functorial Levels (Projected Horizontal Lines):
What it represents: These lines extend from the current fastDEVMA and slowDEVMA values into the future.
Interpretation: Think of these as dynamic support and resistance levels for the volatility structure itself. A crossover becomes more significant if it breaks cleanly through a prior established level.
🌊 Flow Boxes (Spaced Out Boxes):
What it represents: These are compact visual footprints of the current regime, colored green for Expansion and red for Contraction.
Interpretation: They provide a quick, at-a-glance confirmation of the dominant volatility flow, reinforcing the background color.
Background Color:
This provides an immediate, unmistakable indication of the current volatility regime. Light Green for Expansion and Light Aqua/Blue for Contraction, allowing you to assess the market environment in a split second.
📊 BACKTESTING PERFORMANCE REVIEW & ANALYSIS
The following is a factual, transparent review of a backtest conducted using the strategy's default settings on a specific instrument and timeframe. This information is presented for educational purposes to demonstrate how the strategy's mechanics performed over a historical period. It is crucial to understand that these results are historical, apply only to the specific conditions of this test, and are not a guarantee or promise of future performance. Market conditions are dynamic and constantly change.
Test Parameters & Conditions
To ensure the backtest reflects a degree of real-world conditions, the following parameters were used. The goal is to provide a transparent baseline, not an over-optimized or unrealistic scenario.
Instrument: CME E-mini Nasdaq 100 Futures (NQ1!)
Timeframe: 5-Minute Chart
Backtesting Range: March 24, 2024, to July 09, 2024
Initial Capital: $100,000
Commission: $0.62 per contract (A realistic cost for futures trading).
Slippage: 3 ticks per trade (A conservative setting to account for potential price discrepancies between order placement and execution).
Trade Size: 1 contract per trade.
Performance Overview (Historical Data)
The test period generated 465 total trades , providing a statistically significant sample size for analysis, which is well above the recommended minimum of 100 trades for a strategy evaluation.
Profit Factor: The historical Profit Factor was 2.663 . This metric represents the gross profit divided by the gross loss. In this test, it indicates that for every dollar lost, $2.663 was gained.
Percent Profitable: Across all 465 trades, the strategy had a historical win rate of 84.09% . While a high figure, this is a historical artifact of this specific data set and settings, and should not be the sole basis for future expectations.
Risk & Trade Characteristics
Beyond the headline numbers, the following metrics provide deeper insight into the strategy's historical behavior.
Sortino Ratio (Downside Risk): The Sortino Ratio was 6.828 . Unlike the Sharpe Ratio, this metric only measures the volatility of negative returns. A higher value, such as this one, suggests that during this test period, the strategy was highly efficient at managing downside volatility and large losing trades relative to the profits it generated.
Average Trade Duration: A critical characteristic to understand is the strategy's holding period. With an average of only 2 bars per trade , this configuration operates as a very short-term, or scalping-style, system. Winning trades averaged 2 bars, while losing trades averaged 4 bars. This indicates the strategy's logic is designed to capture quick, high-probability moves and exit rapidly, either at a profit target or a stop loss.
Conclusion and Final Disclaimer
This backtest demonstrates one specific application of the VoVix+ framework. It highlights the strategy's behavior as a short-term system that, in this historical test on NQ1!, exhibited a high win rate and effective management of downside risk. Users are strongly encouraged to conduct their own backtests on different instruments, timeframes, and date ranges to understand how the strategy adapts to varying market structures. Past performance is not indicative of future results, and all trading involves significant risk.
🔧 THE DEVELOPMENT PHILOSOPHY: FROM VOLATILITY TO CLARITY
The journey to create VoVix+ began with a simple question: "What drives major market moves?" The answer is often not a change in price direction, but a fundamental shift in market volatility. Standard indicators are reactive to price. We wanted to create a system that was predictive of market state. VoVix+ was designed to go one level deeper—to analyze the behavior, character, and momentum of volatility itself.
The challenge was twofold. First, to create a robust mathematical model to quantify these abstract concepts. This led to the multi-layered analysis of ATR differentials and standard deviations. Second, to make this complex data intuitive and actionable. This drove the creation of the "Visual Universe," where abstract mathematical values are translated into geometric shapes, flows, and fields. The adaptive system was intentionally kept simple and transparent, focusing on a single, impactful parameter (time-based exits) to provide performance feedback without becoming an inscrutable "black box." The result is a tool that is both profoundly deep in its analysis and remarkably clear in its presentation.
⚠️ RISK DISCLAIMER AND BEST PRACTICES
VoVix+ is an advanced analytical tool, not a guarantee of future profits. All financial markets carry inherent risk. The backtesting results shown by the strategy are historical and do not guarantee future performance. This strategy incorporates realistic commission and slippage settings by default, but market conditions can vary. Always practice sound risk management, use position sizes appropriate for your account equity, and never risk more than you can afford to lose. It is recommended to use this strategy as part of a comprehensive trading plan. This was developed specifically for Futures
"The prevailing wisdom is that markets are always right. I take the opposite view. I assume that markets are always wrong. Even if my assumption is occasionally wrong, I use it as a working hypothesis."
— George Soros
— Dskyz, Trade with insight. Trade with anticipation.
