Fractional Candlestick Long Only Experimental V4 Another example of use an idea of Fractional Candlestick , based on mathematical rules of Fractional Calculus , typical kernel Caputo-Fabrizio ( CF ) and Atangana-Baleanu is used, alfa factor ( esential for calculation ) is in range 0,1-0.9.
Let's fun with this script .
Indicators and strategies
ATR + ATR ์ ๋ตIt is a strong trend strategy based on ATR and ADX. Optimized for 15 installments of Bitcoin futures.
KELTNER + ADX ์ ๋ตIt's a trend strategy based on the Keltner channel and ADX. It's optimized for the Bitcoin Futures 15 Distribution Chart.
GMH : Tech Bubble Good Morning Holding
Simulating How to Ride the Bubble โ and Jump Out Before the Crash
Be careful! Most simulation results show that this strategy sometimes underperforms a simple buy-and-hold, because it gives away positions during deep retracements and buys back at higher thresholds.
Humans often struggle with cutting losses. When the pain becomes too much, they lose the confidence needed to execute even a reasonable strategy.
But in terms of mentality, this approach reduces long-term portfolio volatility. It helps investors feel more at peace, especially during real market crashes like the tech bubble in 2021.
How to use : Select TimeFrame 4HR on trading view
Trilok saini EMA Pullback + MACD + ADX Strategy๐ HA Double EMA Pullback + MACD + ADX Strategy โ Description
This strategy combines Heikin Ashi candles, Double EMA pullbacks, MACD momentum filtering, and ADX trend-strength confirmation to generate high-probability trend-continuation signals.
It is designed to avoid choppy markets and focus only on strong trending conditions.
๐ฅ Key Features
1๏ธโฃ Heikin Ashi Trend Analysis
Heikin Ashi candles are calculated on the selected timeframe.
They smooth out market noise to highlight clear bullish or bearish trends.
Trend direction is displayed in a live info table.
2๏ธโฃ Double EMA Pullback Logic
The main signal engine of this strategy:
Buy conditions
Price crosses above EMA 20
EMA 20 > EMA 50 (confirming uptrend)
A pullback is detected using the back-step (price was above EMA earlier)
MACD + ADX filters approve the trade
Sell conditions
Price crosses below EMA 20
EMA 20 < EMA 50 (confirming downtrend)
Pullback confirmation based on earlier price action
MACD + ADX filters approve the trade
This logic focuses on trend continuation instead of reversal setups.
3๏ธโฃ MACD Momentum Filter
Buy signals appear only when MACD histogram is positive (green).
Sell signals appear only when MACD histogram is negative (red).
Prevents entries during weak or directionless momentum.
4๏ธโฃ ADX Trend Strength Filter
Signals are blocked when ADX is below the selected threshold.
Ensures trades happen only in strong trending markets, reducing false signals.
5๏ธโฃ Visual Enhancements
Clean Heikin Ashi candles with customizable colors
Optional regular candles for comparison
EMA overlays on HA candles
Buy/Sell labels with customizable text
Info table showing:
Trend direction
HA close
Regular close
EMA values
ADX reading
Active filters
๐ฏ Ideal Use Cases
Trend-following traders
Swing traders
Intraday traders who want filtered signals
Anyone wanting fewer false signals in sideways markets
โ ๏ธ Disclaimer
This script is for educational and research purposes only.
Past performance does not guarantee future results. Always backtest and use proper risk management.
LiquiBreak โ Semi-Automatic Breakout, Gap & Trend-Filter StrategLiquiBreak is a semi-automatic breakout + gap detection strategy that combines pivots, a volatility filter and an optional Supertrend direction check to generate entry signals. It can optionally place take-profit and stop-loss orders in points. Use it to highlight high-probability breakout/gap setups and to automate exits when you want โ otherwise treat its signals as trade alerts that require your confirmation.
๐ LiquiBreak โ Semi-Automatic Breakout, Gap & Trend Strategy
1. Overview
1. LiquiBreak is a semi-automatic breakout + gap strategy designed to catch high-quality moves with volatility confirmation.
2. Uses pivot-based support/resistance , gap detection , Supertrend filtering , and optional automatic TP/SL in points .
3. Works on all assets and timeframes, especially effective on XAUUSD, Indices, Crypto and FX pairs .
---
2. What This Script Detects
1. Breakouts above resistance and below support during strong volatility.
2. Bullish & bearish gap patterns confirmed with momentum sequences.
3. Dynamic volatility zones based on normalized ATR ranges.
4. Optional Supertrend trend direction for filtering bad signals.
5. Automatic TP/SL orders when enabled.
---
3. Recommended Indicators to Combine With
To increase accuracy and reduce false breakouts:
1. Supertrend (included) โ best for trend direction.
2. EMA 9/21 or EMA 20/50 โ confirms trend strength & pullbacks.
3. RSI or Stoch RSI โ avoid overbought/oversold breakouts.
4. VWAP โ institutional bias & fair value zones.
5. CPR / Pivot Points โ confluence with breakout levels.
6. MACD โ trend confirmation on higher timeframe.
7. Volume Profile (optional) โ find breakout liquidity zones.
These indicators help filter low-quality signals without affecting the scriptโs core logic.
---
4. Key Features
1. Volatility-based pivot support & resistance .
2. Reliable breakout confirmation using real-time volatility strength.
3. Strong gap pattern detection with ATR threshold.
4. Optional Supertrend confirmation for safer entries.
5. Point-based Take Profit / Stop Loss .
6. Toggle on/off: Longs, Shorts, TP, SL .
7. Semi-automatic execution โ not fully automated.
8. Clean, optimized structure for stability and speed.
---
5. Inputs / Settings
1. Pivot / Levels Period โ defines structural S/R levels.
2. Volatility Filter (%) โ prevents low-quality signals.
3. TP Points โ automatic take-profit target.
4. SL Points โ automatic stop-loss.
5. Enable TP / Enable SL โ full exit control.
6. Allow Long / Allow Short โ direction control.
7. Supertrend Filter โ filter weak counter-trend trades.
---
6. How to Use the Strategy
1. Select timeframe & tune pivot/volatility settings.
2. Enable/disable automatic TP/SL based on your style.
3. Turn ON Supertrend for safer trend-based trades.
4. Confirm signals using EMA, RSI, VWAP, Volume or CPR.
5. Watch for high-volatility breakouts near key levels.
6. Use multiple timeframe analysis for stronger confirmation.
---
7. Important Warning (User Must Monitor Trades)
โ This script is NOT a fully automatic bot.
1. You MUST monitor the chart while using this strategy.
2. You MUST manually close trades if market conditions change.
3. Auto TP/SL helps, but during news events or fast markets, slippage may occur.
4. Treat this script as a signal + entry assistant , not a fire-and-forget system.
---
8. Best Practices
1. Works best on XAUUSD, NAS100, BTC, ETH, EURUSD .
2. Avoid major news unless experienced.
3. Increase volatility filter during choppy markets.
4. Use M15โH1 for clean breakouts; M5 for scalping.
5. For beginners: keep TP/SL enabled for safety.
6. Backtest first โ then paper trade โ then live trade.
---
9. Disclaimer
1. For educational and research purposes only .
2. Not financial advice.
3. User is fully responsible for their trades and risk.
4. Past performance does not guarantee future results.
KDH v2.0 (English) Trading Strategy Indicator# KDH Diamond Strategy v3.3 - TradingView Description
---
## ๐ฌ๐ง ENGLISH VERSION
### ๐ KDH Diamond Strategy v3.3
**Professional High-Leverage Futures Trading System**
---
#### ๐ฏ Overview
KDH Diamond is an advanced algorithmic trading strategy specifically optimized for **1-hour timeframe futures trading** with high-leverage environments. Built on proven institutional concepts including Fair Value Gaps (FVG), Volume Profile analysis, and multi-layered confirmation filters, this strategy delivers consistent results without repainting.
---
#### โจ Key Features
**๐ฅ Optimized for 1H Timeframe**
- Extensively backtested across multiple markets
- Highest profit rate achieved on 1-hour charts
- Perfect for swing traders and active position management
**๐จ No Repainting - 100% Reliable Signals**
- All signals are confirmed and locked on bar close
- What you see in backtest is what you get in real-time
- Complete transparency with `calc_on_order_fills=true`
**๐ Automated Risk Management**
- Automatic Stop Loss and Take Profit calculation
- Intelligent SL/TP placement based on market structure
- Built-in position sizing controls (adjustable % per trade)
**๐ High-Leverage Futures Optimized**
- Designed specifically for leveraged futures trading
- Risk-reward ratios calibrated for 10-20x leverage environments
- Precision entry timing to maximize profit potential
**๐ Advanced Position Management**
- Automatic reversal entries at TP levels
- Multiple re-entry opportunities per signal
- Dynamic trade management based on market conditions
**๐๏ธ Multi-Layer Confirmation System**
- **SMA50 Filter (1H)**: Trend alignment confirmation
- **Momentum Filter**: KAMA-based directional strength
- **RSI Divergence Filter**: Reversal detection at extremes
- **Volume Profile Filter**: Order flow and liquidity analysis
---
#### ๐ How It Works
**Signal Generation**
The strategy identifies **Inverted Fair Value Gaps (IFVG)** - institutional order blocks that signal high-probability reversal or continuation zones. Each signal is validated through multiple confirmation filters before execution.
**Entry Logic**
- Limit orders placed at optimal price levels within FVG zones
- Price must touch the midline and close in favorable direction
- All filters must align for signal activation
**Exit Strategy**
- Stop Loss: Placed at the next opposing FVG level
- Take Profit: Calculated using nearest FVG in profit direction
- Automatic reversal entry option at TP levels
**Visual System**
- Color-coded boxes show FVG zones (green/red)
- Real-time position tracking with entry, SL, and TP lines
- Comprehensive dashboard displaying filter status and P&L
---
#### ๐ฏ Who Is This For?
โ
**Perfect For:**
- Futures traders using 10-20x leverage
- Traders seeking systematic, rule-based strategies
- Those who want automated SL/TP management
- 1-hour chart swing traders
- Traders familiar with institutional concepts (FVG, order flow)
โ **Not Ideal For:**
- Scalpers (designed for 1H timeframe)
- Spot-only traders (optimized for leveraged futures)
- Beginners unfamiliar with leverage risks
- Set-and-forget automated trading (requires monitoring)
---
#### ๐ What You Get
**Strategy Features:**
- Complete FVG detection and inversion system
- 4 professional-grade confirmation filters
- Automated SL/TP calculation and placement
- TP reversal entry system
- Volume Profile sentiment analysis
- Real-time position tracking dashboard
- Webhook alert support for automation
- Clean, organized code with detailed comments
**Visual Components:**
- FVG boxes with inversion coloring
- Volume Profile sentiment boxes (optional)
- Entry, SL, and TP lines for each position
- Position status table with live P&L
- Filter status dashboard
---
#### โ๏ธ Customization Options
**Adjustable Filters (User Control):**
- SMA50 Filter (1H) - Trend alignment ON/OFF
- Momentum Filter - Directional strength ON/OFF
- RSI Divergence Filter - Reversal detection ON/OFF
- Volume Profile Filter - Order flow analysis ON/OFF
**Fixed Parameters (Optimized):**
- All core parameters are pre-optimized for 1H timeframe
- Ensures consistent performance without overwhelming options
- Prevents parameter over-fitting by users
---
#### โ ๏ธ Important Disclaimers
**Risk Warning:**
This strategy is designed for leveraged futures trading, which carries substantial risk. High leverage (10-20x) can result in rapid losses. Only trade with capital you can afford to lose.
**Performance:**
Past performance does not guarantee future results. Always backtest on your specific market and timeframe before live trading.
**Usage:**
This is a trading tool, not financial advice. Users are responsible for their own trading decisions and risk management.
**Requirements:**
- Understanding of futures trading and leverage
- Familiarity with Fair Value Gaps and institutional concepts
- Ability to monitor positions (not fully automated)
- Proper risk management discipline
---
#### ๐ง Technical Specifications
- **Platform:** TradingView Pine Script v5
- **Type:** Strategy (with backtesting capabilities)
- **Timeframe:** Optimized for 1H (works on other timeframes)
- **Markets:** Any futures market (crypto, stocks, indices, forex)
- **Repainting:** NO - All signals are final on bar close
- **Alerts:** Full webhook support for automation
- **Default Settings:** 10% position size, pyramiding enabled (max 10 positions)
---
#### ๐ Support
Questions about setup or usage? Contact the author through TradingView messages.
**Note:** This indicator is for educational and trading tool purposes only. The author is not responsible for trading losses. Trade responsibly and within your risk tolerance.
QQQ Momentum Regime Rider (EMA + VWAP + ADX + Vol Pullback)My strategy catches intraday momentum, has a phenomenal return of 18% annually
Range Oscillator Strategy + Stoch Confirm๐น Short summary
This is a free, educational long-only strategy built on top of the public โRange Oscillatorโ by Zeiierman (used under CC BY-NC-SA 4.0), combined with a Stochastic timing filter, an EMA-based exit filter and an optional risk-management layer (SL/TP and R-multiple exits). It is NOT financial advice and it is NOT a magic money machine. Itโs a structured framework to study how range-expansion + momentum + trend slope can be combined into one rule-based system, often with intentionally RARE trades.
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0. Legal / risk disclaimer
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โข This script is FREE and public. I do not charge any fee for it.
โข It is for EDUCATIONAL PURPOSES ONLY.
โข It is NOT financial advice and does NOT guarantee profits.
โข Backtest results can be very different from live results.
โข Markets change over time; past performance is NOT indicative of future performance.
โข You are fully responsible for your own trades and risk.
Please DO NOT use this script with money you cannot afford to lose. Always start in a demo / paper trading environment and make sure you understand what the logic does before you risk any capital.
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1. About default settings and risk (very important)
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The script is configured with the following defaults in the `strategy()` declaration:
โข `initial_capital = 10000`
โ This is only an EXAMPLE account size.
โข `default_qty_type = strategy.percent_of_equity`
โข `default_qty_value = 100`
โ This means 100% of equity per trade in the default properties.
โ This is AGGRESSIVE and should be treated as a STRESS TEST of the logic, not as a realistic way to trade.
TradingViewโs House Rules recommend risking only a small part of equity per trade (often 1โ2%, max 5โ10% in most cases). To align with these recommendations and to get more realistic backtest results, I STRONGLY RECOMMEND you to:
1. Open **Strategy Settings โ Properties**.
2. Set:
โข Order size: **Percent of equity**
โข Order size (percent): e.g. **1โ2%** per trade
3. Make sure **commission** and **slippage** match your own broker conditions.
โข By default this script uses `commission_value = 0.1` (0.1%) and `slippage = 3`, which are reasonable example values for many crypto markets.
If you choose to run the strategy with 100% of equity per trade, please treat it ONLY as a stress-test of the logic. It is NOT a sustainable risk model for live trading.
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2. What this strategy tries to do (conceptual overview)
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This is a LONG-ONLY strategy designed to explore the combination of:
1. **Range Oscillator (Zeiierman-based)**
- Measures how far price has moved away from an adaptive mean.
- Uses an ATR-based range to normalize deviation.
- High positive oscillator values indicate strong price expansion away from the mean in a bullish direction.
2. **Stochastic as a timing filter**
- A classic Stochastic (%K and %D) is used.
- The logic requires %K to be below a user-defined level and then crossing above %D.
- This is intended to catch moments when momentum turns up again, rather than chasing every extreme.
3. **EMA Exit Filter (trend slope)**
- An EMA with configurable length (default 70) is calculated.
- The slope of the EMA is monitored: when the slope turns negative while in a long position, and the filter is enabled, it triggers an exit condition.
- This acts as a trend-protection exit: if the medium-term trend starts to weaken, the strategy exits even if the oscillator has not yet fully reverted.
4. **Optional risk-management layer**
- Percentage-based Stop Loss and Take Profit (SL/TP).
- Risk/Reward (R-multiple) exit based on the distance from entry to SL.
- Implemented as OCO orders that work *on top* of the logical exits.
The goal is not to create a โholy grailโ system but to serve as a transparent, configurable framework for studying how these concepts behave together on different markets and timeframes.
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3. Components and how they work together
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(1) Range Oscillator (based on โRange Oscillator (Zeiierman)โ)
โข The script computes a weighted mean price and then measures how far price deviates from that mean.
โข Deviation is normalized by an ATR-based range and expressed as an oscillator.
โข When the oscillator is above the **entry threshold** (default 100), it signals a strong move away from the mean in the bullish direction.
โข When it later drops below the **exit threshold** (default 30), it can trigger an exit (if enabled).
(2) Stochastic confirmation
โข Classic Stochastic (%K and %D) is calculated.
โข An entry requires:
- %K to be below a user-defined โCross Levelโ, and
- then %K to cross above %D.
โข This is a momentum confirmation: the strategy tries to enter when momentum turns up from a pullback rather than at any random point.
(3) EMA Exit Filter
โข The EMA length is configurable via `emaLength` (default 70).
โข The script monitors the EMA slope: it computes the relative change between the current EMA and the previous EMA.
โข If the slope turns negative while the strategy holds a long position and the filter is enabled, it triggers an exit condition.
โข This is meant to help protect profits or cut losses when the medium-term trend starts to roll over, even if the oscillator conditions are not (yet) signalling exit.
(4) Risk management (optional)
โข Stop Loss (SL) and Take Profit (TP):
- Defined as percentages relative to average entry price.
- Both are disabled by default, but you can enable them in the Inputs.
โข Risk/Reward Exit:
- Uses the distance from entry to SL to project a profit target at a configurable R-multiple.
- Also optional and disabled by default.
These exits are implemented as `strategy.exit()` OCO orders and can close trades independently of oscillator/EMA conditions if hit first.
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4. Entry & Exit logic (high level)
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A) Time filter
โข You can choose a **Start Year** in the Inputs.
โข Only candles between the selected start date and 31 Dec 2069 are used for backtesting (`timeCondition`).
โข This prevents accidental use of tiny cherry-picked windows and makes tests more honest.
B) Entry condition (long-only)
A long entry is allowed when ALL the following are true:
1. `timeCondition` is true (inside the backtest window).
2. If `useOscEntry` is true:
- Range Oscillator value must be above `entryLevel`.
3. If `useStochEntry` is true:
- Stochastic condition (`stochCondition`) must be true:
- %K < `crossLevel`, then %K crosses above %D.
If these filters agree, the strategy calls `strategy.entry("Long", strategy.long)`.
C) Exit condition (logical exits)
A position can be closed when:
1. `timeCondition` is true AND a long position is open, AND
2. At least one of the following is true:
- If `useOscExit` is true: Oscillator is below `exitLevel`.
- If `useMagicExit` (EMA Exit Filter) is true: EMA slope is negative (`isDown = true`).
In that case, `strategy.close("Long")` is called.
D) Risk-management exits
While a position is open:
โข If SL or TP is enabled:
- `strategy.exit("Long Risk", ...)` places an OCO stop/limit order based on the SL/TP percentages.
โข If Risk/Reward exit is enabled:
- `strategy.exit("RR Exit", ...)` places an OCO order using a projected R-multiple (`rrMult`) of the SL distance.
These risk-based exits can trigger before the logical oscillator/EMA exits if price hits those levels.
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5. Recommended backtest configuration (to avoid misleading results)
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To align with TradingView House Rules and avoid misleading backtests:
1. **Initial capital**
- 10 000 (or any value you personally want to work with).
2. **Order size**
- Type: **Percent of equity**
- Size: **1โ2%** per trade is a reasonable starting point.
- Avoid risking more than 5โ10% per trade if you want results that could be sustainable in practice.
3. **Commission & slippage**
- Commission: around 0.1% if that matches your broker.
- Slippage: a few ticks (e.g. 3) to account for real fills.
4. **Timeframe & markets**
- Volatile symbols (e.g. crypto like BTCUSDT, or major indices).
- Timeframes: 1H / 4H / **1D (Daily)** are typical starting points.
- I strongly recommend trying the strategy on **different timeframes**, for example 1D, to see how the behaviour changes between intraday and higher timeframes.
5. **No โcaution warningโ**
- Make sure your chosen symbol + timeframe + settings do not trigger TradingViewโs caution messages.
- If you see warnings (e.g. โtoo few tradesโ), adjust timeframe/symbol or the backtest period.
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5a. About low trade count and rare signals
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This strategy is intentionally designed to trade RARELY:
โข It is **long-only**.
โข It uses strict filters (Range Oscillator threshold + Stochastic confirmation + optional EMA Exit Filter).
โข On higher timeframes (especially **1D / Daily**) this can result in a **low total number of trades**, sometimes WELL BELOW 100 trades over the whole backtest.
TradingViewโs House Rules mention 100+ trades as a guideline for more robust statistics. In this specific case:
โข The **low trade count is a conscious design choice**, not an attempt to cherry-pick a tiny, ultra-profitable window.
โข The goal is to study a **small number of high-conviction long entries** on higher timeframes, not to generate frequent intraday signals.
โข Because of the low trade count, results should NOT be interpreted as statistically strong or โprovenโ โ they are only one sample of how this logic would have behaved on past data.
Please keep this in mind when you look at the equity curve and performance metrics. A beautiful curve with only a handful of trades is still just a small sample.
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6. How to use this strategy (step-by-step)
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1. Add the script to your chart.
2. Open the **Inputs** tab:
- Set the backtest start year.
- Decide whether to use Oscillator-based entry/exit, Stochastic confirmation, and EMA Exit Filter.
- Optionally enable SL, TP, and Risk/Reward exits.
3. Open the **Properties** tab:
- Set a realistic account size if you want.
- Set order size to a realistic % of equity (e.g. 1โ2%).
- Confirm that commission and slippage are realistic for your broker.
4. Run the backtest:
- Look at Net Profit, Max Drawdown, number of trades, and equity curve.
- Remember that a low trade count means the statistics are not very strong.
5. Experiment:
- Tweak thresholds (`entryLevel`, `exitLevel`), Stochastic settings, EMA length, and risk params.
- See how the metrics and trade frequency change.
6. Forward-test:
- Before using any idea in live trading, forward-test on a demo account and observe behaviour in real time.
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7. Originality and usefulness (why this is more than a mashup)
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This script is not intended to be a random visual mashup of indicators. It is designed as a coherent, testable strategy with clear roles for each component:
โข Range Oscillator:
- Handles mean vs. range-expansion states via an adaptive, ATR-normalized metric.
โข Stochastic:
- Acts as a timing filter to avoid entering purely on extremes and instead waits for momentum to turn.
โข EMA Exit Filter:
- Trend-slope-based safety net to exit when the medium-term direction changes against the position.
โข Risk module:
- Provides practical, rule-based exits: SL, TP, and R-multiple exit, which are useful for structuring risk even if you modify the core logic.
It aims to give traders a ready-made **framework to study and modify**, not a black box or โsignalsโ product.
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8. Limitations and good practices
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โข No single strategy works on all markets or in all regimes.
โข This script is long-only; it does not short the market.
โข Performance can degrade when market structure changes.
โข Overfitting (curve fitting) is a real risk if you endlessly tweak parameters to maximise historical profit.
Good practices:
- Test on multiple symbols and timeframes.
- Focus on stability and drawdown, not only on how high the profit line goes.
- View this as a learning tool and a basis for your own research.
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9. Licensing and credits
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โข Core oscillator idea & base code:
- โRange Oscillator (Zeiierman)โ
- ยฉ Zeiierman, licensed under CC BY-NC-SA 4.0.
โข Strategy logic, Stochastic confirmation, EMA Exit Filter, and risk-management layer:
- Modifications by jokiniemi.
Please respect both the original license and TradingView House Rules if you fork or republish any part of this script.
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10. No payments / no vendor pitch
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โข This script is completely FREE to use on TradingView.
โข There is no paid subscription, no external payment link, and no private signals group attached to it.
โข If you have questions, please use TradingViewโs comment system or private messages instead of expecting financial advice.
Use this script as a tool to learn, experiment, and build your own understanding of markets.
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11. Example backtest settings used in screenshots
โโโโโโโโโโโโโโโโโโโโโโโโ
To avoid any confusion about how the results shown in screenshots were produced, here is one concrete example configuration:
โข Symbol: BTCUSDT (or similar major BTC pair)
โข Timeframe: 1D (Daily)
โข Backtest period: from 2018 to the most recent data
โข Initial capital: 10 000
โข Order size type: Percent of equity
โข Order size: 2% per trade
โข Commission: 0.1%
โข Slippage: 3 ticks
โข Risk settings: Stop Loss and Take Profit disabled by default, Risk/Reward exit disabled by default
โข Filters: Range Oscillator entry/exit enabled, Stochastic confirmation enabled, EMA Exit Filter enabled
If you change any of these settings (symbol, timeframe, risk per trade, commission, slippage, filters, etc.), your results will look different. Please always adapt the configuration to your own risk tolerance, market, and trading style.
Braid Filter StrategyThis strategy is like a sophisticated set of traffic lights and speed limit signs for trading. It only allows a trade when multiple indicators line up to confirm a strong move, giving it its "Braid Filter" nameโit weaves together several conditions.
The strategy is set up to use 100% of your account equity (your trading funds) on a trade and does not "pyramid" (it won't add to an existing trade).
1. The Main Trend Check (The Traffic Lights)
The strategy uses three main filters that must agree before it considers a trade.
A. The "Chad Filter" (Direction & Strength)
This is the heart of the strategy, a custom combination of three different Moving AveragesThese averages have fast, medium, and slow settings (3, 7, and 14 periods).
Go Green (Buy Signal): The fastest average is higher than the medium average, AND the three averages are sufficiently separated (not tangled up, which indicates a strong move).
Go Red (Sell Signal): The medium average is higher than the fastest average, AND the three averages are sufficiently separated.
Neutral (Wait): If the averages are tangled or the separation isn't strong enough.
Key Trigger: A primary condition for a signal is when the Chad Filter changes color (e.g., from Red/Grey to Green).
B. The EMA Trend Bars (Secondary Confirmation)
This is a simpler, longer-term filter using a 34-period Exponential Moving Average (EMA). It checks if the current candle's average price is above or below this EMA.
Green Bars: The price is above the 34 EMA (Bullish Trend).
Red Bars: The price is below the 34 EMA (Bearish Trend).
Trades only happen if the signal direction matches the bar color. For a Buy, the bar must be Green. For a Sell, the bar must be Red.
C. ADX/DI Filter (The Speed Limit Sign)
This uses the Average Directional Index (ADX) and Directional Movement Indicators (DI) to check if a trend is actually in motion and getting stronger.
Must-Have Conditions:
The ADX value must be above 20 (meaning there is a trend, not just random movement).
The ADX line must be rising (meaning the trend is accelerating/getting stronger).
The strategy will only trade when the trend is strong and building momentum.
2. The Trading Action (Entry and Exit)
When all three filters (Chad Filter color change, EMA Trend Bar color, and ADX strength/slope) align, the strategy issues a signal, but it doesn't enter immediately.
Entry Strategy (The "Wait-for-Confirmation" Approach):
When a Buy Signal appears, the strategy sets a "Buy Stop" order at the signal candle's closing price.
It then waits for up to 3 candles (Candles Valid for Entry). The price must move up and hit that Buy Stop price within those 3 candles to confirm the move and enter the trade.
A Sell Signal works the same way but uses a "Sell Stop" at the closing price, waiting for the price to drop and hit it.
Risk Management (Stop Loss and Take Profit):
Stop Loss: To manage risk, the strategy finds a recent significant low (for a Buy) or high (for a Sell) over the last 20 candles and places the Stop Loss there. This is a logical place where the current move would be considered "broken" if the price reaches it.
Take Profit: It uses a fixed Risk:Reward Ratio (set to 1.5 by default). This means the potential profit (Take Profit distance) is $1.50 for every $1.00 of risk (Stop Loss distance).
3. Additional Controls
Time Filter: You can choose to only allow trades during specific hours of the day.
Visuals: It shows a small triangle on the chart where the signal happens and colors the background to reflect the Chad Filter's trend (Green/Red/Grey) and the candle bars to show the EMA trend (Lime/Red).
๐ฏ Summary of the Strategy's Goal
This strategy is designed to capture strong, confirmed momentum moves. It uses a fast, custom indicator ("Chad Filter") to detect the start of a new move, confirms that move with a slower trend filter (34 EMA), and then validates the move's strength with the ADX. By waiting a few candles for the price to hit the entry level, it aims to avoid false signals.
Braid Filter StrategyAnother of TradeIQ's youtube strategies. It looks a little messy but it combines all the indicators into one so there are no extra panes. This strategy is like a sophisticated set of traffic lights and speed limit signs for trading. It only allows a trade when multiple indicators line up to confirm a strong move, giving it its "Braid Filter" nameโit weaves together several conditions.
The strategy is set up to use 100% of your account equity (your trading funds) on a trade and does not "pyramid" (it won't add to an existing trade).
1. The Main Trend Check (The Traffic Lights)
The strategy uses three main filters that must agree before it considers a trade.
A. The "Braid Filter" (Direction & Strength)
This is the heart of the strategy, a custom combination of three different Moving Averages
These averages have fast, medium, and slow settings (3, 7, and 14 periods).
Go Green (Buy Signal): The fastest average is higher than the medium average, AND the three averages are sufficiently separated (not tangled up, which indicates a strong move).
Go Red (Sell Signal): The medium average is higher than the fastest average, AND the three averages are sufficiently separated.
Neutral (Wait): If the averages are tangled or the separation isn't strong enough.
Key Trigger: A primary condition for a signal is when the Chad Filter changes color (e.g., from Red/Grey to Green).
B. The EMA Trend Bars (Secondary Confirmation)
This is a simpler, longer-term filter using a 34-period Exponential Moving Average (EMA). It checks if the current candle's average price is above or below this EMA.
Green Bars: The price is above the 34 EMA (Bullish Trend).
Red Bars: The price is below the 34 EMA (Bearish Trend).
Trades only happen if the signal direction matches the bar color. For a Buy, the bar must be Green. For a Sell, the bar must be Red.
C. ADX/DI Filter (The Speed Limit Sign)
This uses the Average Directional Index (ADX) and Directional Movement Indicators (DI) to check if a trend is actually in motion and getting stronger.
Must-Have Conditions:
The ADX value must be above 20 (meaning there is a trend, not just random movement).
The ADX line must be rising (meaning the trend is accelerating/getting stronger).
The strategy will only trade when the trend is strong and building momentum.
2. The Trading Action (Entry and Exit)
When all three filters (Chad Filter color change, EMA Trend Bar color, and ADX strength/slope) align, the strategy issues a signal, but it doesn't enter immediately.
Entry Strategy (The "Wait-for-Confirmation" Approach):
When a Buy Signal appears, the strategy sets a "Buy Stop" order at the signal candle's closing price.
It then waits for up to 3 candles (Candles Valid for Entry). The price must move up and hit that Buy Stop price within those 3 candles to confirm the move and enter the trade.
A Sell Signal works the same way but uses a "Sell Stop" at the closing price, waiting for the price to drop and hit it.
Risk Management (Stop Loss and Take Profit):
Stop Loss: To manage risk, the strategy finds a recent significant low (for a Buy) or high (for a Sell) over the last 20 candles and places the Stop Loss there. This is a logical place where the current move would be considered "broken" if the price reaches it.
Take Profit: It uses a fixed Risk:Reward Ratio (set to 1.5 by default). This means the potential profit (Take Profit distance) is $1.50 for every $1.00 of risk (Stop Loss distance).
3. Additional Controls
Time Filter: You can choose to only allow trades during specific hours of the day.
Visuals: It shows a small triangle on the chart where the signal happens and colors the background to reflect the Chad Filter's trend (Green/Red/Grey) and the candle bars to show the EMA trend (Lime/Red).
๐ฏ Summary of the Strategy's Goal
This strategy is designed to capture strong, confirmed momentum moves. It uses a fast, custom indicator ("Chad Filter") to detect the start of a new move, confirms that move with a slower trend filter (34 EMA), and then validates the move's strength with the ADX. By waiting a few candles for the price to hit the entry level, it aims to avoid false signals.
WDO DayTrade Brasil - by IchilinhaWDO DayTrade Brazil - Advanced Strategy with Risk Control
Overview
A complete day trading strategy developed specifically for trading Mini Dollar (WDO) futures in the Brazilian market (B3). It combines multi-timeframe technical analysis, trend/sideway filters, advanced risk management with ATR, and strict controls on the time and number of daily trades.
SMA 9/21 Cross StrategyThis is my SILVER CROSS strategy
after 5 months portfolio gain 39%
Never risk more then 2% of your wallet
Stop loss Price - 2xATR
Best results on 4h chart
WIN DayTrade Brasil - by Ichilinha
A comprehensive day trading strategy developed specifically for trading the Mini Index (WIN) on the Brazilian market (B3). It combines multi-timeframe technical analysis, trend/sideway filters, advanced risk management with ATR, and strict controls on the time and number of daily trades.
Note: Always trade responsibly. Day trading requires technical knowledge, emotional discipline, and proper risk management. Never trade with money you cannot afford to lose.
MaayaBullish_PROD_v14_Nov2025trying to analyses trend.
trying to analyses trend.
trying to analyses trend.
trying to analyses trend.
trying to analyses trend.
trying to analyses trend.
trying to analyses trend.
trying to analyses trend.
ADILS_TREND_V5Swing 15 mins using RSI and MAs ... catching the turn around in trend in all time frames. Works best on 15 mins
[Bybit BTCUSD.P] 7Years Backtest Results. 2,609% +Non-Repainting๐ I. Strategy Overview: Trust Backed by Numbers
The ADX Sniper v12 strategy has been rigorously tested over 7 years, from November 14, 2018 to November 8, 2025, spanning every major cycle of the Bitcoin
BTCUSD.P futures market. This strategy successfully balances two often-conflicting goals: maximizing profitability while minimizing volatility, all supported by objective performance data.
This strategy has been validated across all Bitcoin (BTCUSD.P) futures market cycles over a 7-year period.
โ Visual Proof: Bar Replay Simulation
The chart above demonstrates actual entry and exit points captured via TradingView's Bar Replay feature. The green rectangle highlights the core profitable trading zone, showing where the strategy successfully captured sustained uptrends. This visual evidence confirms:
Confirmed buy/sell signals with exact execution prices (marked in red and blue)
No repainting or signal distortion after candle close
Consistent performance across multiple market cycles within the highlighted zone
๐ฐ Core Performance Metrics:
Cumulative Return: 2,609.14% (compounded growth over 7 years)
Maximum Drawdown (MDD): 6.999% (preserving over 93% of capital)
Average Profit/Loss Ratio: 8.003 (industry-leading risk-reward efficiency)
Total Trades: 24 (focused exclusively on high-conviction opportunities)
Sortino Ratio: 11.486 (mathematically proving robustness and stability)
โ
This strategy has been validated across all Bitcoin BTCUSD.P futures market cycles over a 7-year period.
๐ I. ์ ๋ต ๊ฐ์: ์ซ์๋ก ์
์ฆ๋ ์ ๋ขฐ
ADX Sniper v12 ์ ๋ต์ 2018๋
11์ 14์ผ๋ถํฐ 2025๋
11์ 8์ผ๊น์ง ์ฝ 7๋
๊ฐ ๋นํธ์ฝ์ธ (BTCUSD.P) ์ ๋ฌผ ์์ฅ์ ๋ชจ๋ ์ฃผ์ ์ฌ์ดํด์ ๊ฑฐ์น๋ฉฐ ์๊ฒฉํ๊ฒ ๊ฒ์ฆ๋์์ต๋๋ค. ์์ต์ฑ ๊ทน๋ํ์ ๋ณ๋์ฑ ์ต์ํ๋ผ๋ ์์ถฉ๋๋ ๋ชฉํ๋ฅผ ๋์์ ๋ฌ์ฑํ ์ด ์ ๋ต์ ํต์ฌ ์ฑ๊ณผ ์งํ๋ฅผ ๊ฐ๊ด์ ๋ฐ์ดํฐ๋ฅผ ํตํด ํ์ธํ์ค ์ ์์ต๋๋ค.
๋ณธ ์ ๋ต์ 7๋
๊ฐ์ ๋ชจ๋ ๋นํธ์ฝ์ธ (BTCUSD.P) ์ ๋ฌผ ์์ฅ ์ฌ์ดํด์์ ๊ฒ์ฆ๋์์ต๋๋ค.
โ ์๊ฐ์ ์ฆ๋ช
: ๋ฐ ๋ฆฌํ๋ ์ด ์๋ฎฌ๋ ์ด์
์ ์ฐจํธ๋ TradingView์ ๋ฐ ๋ฆฌํ๋ ์ด ๊ธฐ๋ฅ์ผ๋ก ํฌ์ฐฉ๋ ์ค์ ์ง์
๋ฐ ์ฒญ์ฐ ์์ ์ ๋ณด์ฌ์ค๋๋ค. ๋
น์ ๋ค๋ชจ๋ ํต์ฌ ์์ต ๊ตฌ๊ฐ์ ํ์ํ๋ฉฐ, ์ ๋ต์ด ์ง์์ ์ธ ์์น ์ถ์ธ๋ฅผ ์ฑ๊ณต์ ์ผ๋ก ํฌ์ฐฉํ ์์ญ์ ๋ํ๋
๋๋ค. ๋ณธ ์๊ฐ ์๋ฃ๋ ๋ค์์ ์
์ฆํฉ๋๋ค:
์ ํํ ์ฒด๊ฒฐ ๊ฐ๊ฒฉ์ด ํ๊ธฐ๋ ํ์ ๋ ๋งค์/๋งค๋ ์ ํธ (๋นจ๊ฐ์๊ณผ ํ๋์์ผ๋ก ํ์)
์บ๋ค ์ข
๊ฐ ํ ์ ํธ ์๊ณก์ด๋ ๋ฆฌํ์ธํ
์์
๊ฐ์กฐ ํ์๋ ๊ตฌ๊ฐ ๋ด ์ฌ๋ฌ ์์ฅ ์ฌ์ดํด์ ๊ฑธ์น ์ผ๊ด๋ ์ฑ๊ณผ
๐ฐ ํต์ฌ ์ฑ๊ณผ ์งํ:
๋์ ์์ต๋ฅ : 2,609.14% (7๋
๊ฐ ๋ณต๋ฆฌ ์ฑ์ฅ ์
์ฆ)
์ต๋ ๋ํญ (MDD): 6.999% (7๋
๊ฐ ์๋ณธ์ 93% ์ด์ ๋ณด์กด)
ํ๊ท ์์ต๋น: 8.003 (์
๊ณ ์ต๊ณ ์์ค์ ์ํ-๋ณด์ ํจ์จ์ฑ)
์ด ๊ฑฐ๋ ํ์: 24ํ (๊ณ ํ์ ๊ธฐํ์๋ง ์ง์ค)
์๋ฅดํฐ๋
ธ ๋น์จ: 11.486 (์ ๋ต์ ๊ฒฌ๊ณ ์ฑ๊ณผ ์์ ์ฑ์ ์ํ์ ์ผ๋ก ์
์ฆ)
โ
๋ณธ ์ ๋ต์ 7๋
๊ฐ์ ๋ชจ๋ ๋นํธ์ฝ์ธ (BTCUSD.P) ์ ๋ฌผ ์์ฅ ์ฌ์ดํด์์ ๊ฒ์ฆ๋์์ต๋๋ค.
๐ก๏ธ II. Core Philosophy: Cut Losses Short, Let Profits Run
Why MDD Stays Below 7% in a Volatile Market
The crypto futures market typically experiences daily volatility exceeding 10%, with most strategies enduring drawdowns between 30% and 50%. In stark contrast, this strategy has never exceeded a 7% account loss over seven years. This exceptional low MDD is achieved through deliberate design mechanisms, not luck:
๐ฏ Entry Filtering: The 'ADX Pop-up Filter' is the core component. It enables the strategy to strictly avoid trading when market conditions indicate major reversals or consolidation phases, thereby minimizing exposure to high-risk zones.
๐๏ธ Capital Preservation Priority: The strategy prioritizes investor psychological stability and capital preservation over pursuing maximum potential returns.
The Power of an 8.003 Profit Factor
The Profit Factor measures the ratio of total profitable trades to total losing trades. It's the most critical metric for assessing risk-adjusted returns.
A Profit Factor of 8.003 means that for every dollar lost, the strategy earns an average of eight dollars. This demonstrates the efficiency of a true trend-following strategy:
Cutting losses quickly (averaging $177,419 USD loss per trade)
Riding winners for maximum extension (averaging $1,419,920 USD profit per trade)
๐ก๏ธ II. ํต์ฌ ์ฒ ํ: ์์ค์ ๋น ๋ฅด๊ฒ ์๋ฅด๊ณ , ์์ต์ ๋๊น์ง
์ํธํํ ์์ฅ์์ MDD <7%์ ์๋ฏธ
์ํธํํ ์ ๋ฌผ ์์ฅ์ ์ผ์ผ ๋ณ๋์ฑ์ด 10%๋ฅผ ์ด๊ณผํ๋ ๊ฒฝ์ฐ๊ฐ ๋น๋ฒํ๋ฉฐ, ์ผ๋ฐ์ ์ธ ์ ๋ต๋ค์ 30~50%์ MDD๋ฅผ ๊ฒช์ต๋๋ค. ์ด์ ๊ทน๋ช
ํ ๋์กฐ๋ก, ๋ณธ ์ ๋ต์ 7๋
๊ฐ ๋จ ํ ๋ฒ๋ 7%๋ฅผ ์ด๊ณผํ๋ ๊ณ์ข ์์ค์ ๊ธฐ๋กํ์ง ์์์ต๋๋ค. ์ด๋ ๊ฒ ๊ทน๋๋ก ๋ฎ์ MDD๋ ์ด์ด ์๋ ์ฒด๊ณ์ ์ธ ๋ฉ์ปค๋์ฆ์ ํตํด ๋ฌ์ฑ๋์์ต๋๋ค:
๐ฏ ์ง์
ํํฐ๋ง: 'ADX ํ์
ํํฐ'๊ฐ ํต์ฌ ๊ตฌ์ฑ ์์๋ก, ์์ฅ ์ํฉ์ด ์ฃผ์ ๋ฐ์ ์ด๋ ํก๋ณด๋ฅผ ๋ํ๋ผ ๋ ๊ฑฐ๋๋ฅผ ์๊ฒฉํ ํํผํ์ฌ ๊ณ ์ํ ๊ตฌ๊ฐ ๋
ธ์ถ์ ์ต์ํํฉ๋๋ค.
๐๏ธ ์๋ณธ ๋ณด์กด ์ฐ์ : ๋ณธ ์ ๋ต์ ์ต๋ ์ ์ฌ ์์ค์ ๊ฐ์ํ๊ธฐ๋ณด๋ค ํฌ์์์ ์ฌ๋ฆฌ์ ์์ ์ฑ๊ณผ ์๋ณธ ๋ณด์กด์ ์ฐ์ ์ํ๋๋ก ์ค๊ณ๋์์ต๋๋ค.
์์ต๋น 8.003์ ํ
์์ต๋น๋ '์ด ์์ต ๊ฑฐ๋'์ '์ด ์์ค ๊ฑฐ๋'์ ๋น์จ๋ก, ์ํ ์กฐ์ ์์ต์ ์ธก์ ํ๋ ํต์ฌ ์งํ์
๋๋ค.
8.003์ด๋ผ๋ ๊ฐ์ 1๋ฌ๋ฌ๋ฅผ ์์ ๋๋ง๋ค ํ๊ท ์ ์ผ๋ก 8๋ฌ๋ฌ ์ด์์ ๋ฒ์ด๋ค์ด๋ ๊ตฌ์กฐ๋ฅผ ์๋ฏธํฉ๋๋ค. ์ด๋ ์ง์ ํ ์ถ์ธ ์ถ์ข
์ ๋ต์ ์ต๋ ํจ์จ์ฑ์ ๋ณด์ฌ์ค๋๋ค:
์์ค์ ๋น ๋ฅด๊ฒ ์๋ฅด๊ณ ($177,419 USD ํ๊ท ์์ค)
์์ต์ ์ต๋ํ ์ฐ์ฅํฉ๋๋ค ($1,419,920 USD ํ๊ท ์์ต)
๐ฏ III. Strategy Reliability and Structural Edge
The Secret of 24 Trades in 7 Years
Only 24 trades over 7 years signifies that this strategy ignores 99% of market volatility and targets only the 1% of 'most certain buying cycles'. This approach eliminates the drag from excessive trading:
โ No commission bleed
โ No slippage erosion
โ No psychological wear from overtrading
๐ Long-Term Trend Following: The strategy analyzes Bitcoin's long-term price cycles to capture the onset of massive trends while remaining undisturbed by short-term market noise.
Non-Repainting Structure: Alignment of Reality and Simulation
๐ฌ Non-Repainting Proof Video Available
โปโ "If you wish, I can also show you a video as evidence of the non-repainting throughout the 7 years."
โ
Real-Time Trading Reliability: This strategy is built with a non-repainting structure, generating buy/sell signals only after each candle's closing price is confirmed.
โ
Preventing Data Exaggeration: This design ensures that backtest results do not 'repaint' or distort past performance, guaranteeing high correlation between simulated results and actual live trading environments.
โ
Live Trading Advantage: While simulations use closing prices, live trading may allow entry at more favorable prices before candle close, potentially yielding even better execution than backtest results.
๐ฏ III. ์ ๋ต์ ์ ๋ขฐ์ฑ๊ณผ ๊ตฌ์กฐ์ ์ฐ์
7๋
๊ฐ 24ํ ๊ฑฐ๋์ ๋น๋ฐ
7๋
๊ฐ ๋จ 24ํ์ ๊ฑฐ๋๋ ์์ฅ ๋ณ๋์ฑ์ 99%๋ฅผ ๋ฌด์ํ๊ณ ์ค์ง 1%์ '๊ฐ์ฅ ํ์คํ ๋งค์ ์ฌ์ดํด'๋ง์ ํ๊ฒ์ผ๋ก ํ๋ค๋ ๊ฒ์ ์๋ฏธํฉ๋๋ค. ์ด๋ ๊ณผ๋ํ ๊ฑฐ๋๋ก ์ธํ ๋ฌธ์ ๋ฅผ ๊ทผ๋ณธ์ ์ผ๋ก ์ ๊ฑฐํฉ๋๋ค:
โ ์์๋ฃ ์๋ชจ ์์
โ ์ฌ๋ฆฌํผ์ง ์นจ์ ์์
โ ๊ณผ๋ํ ํธ๋ ์ด๋ฉ์ผ๋ก ์ธํ ์ฌ๋ฆฌ์ ์๋ชจ ์์
๐ ์ฅ๊ธฐ ์ถ์ธ ์ถ์ข
: ๋นํธ์ฝ์ธ ๊ฐ๊ฒฉ ์ญ์ฌ๋ฅผ ์ง๋ฐฐํ๋ ์ฅ๊ธฐ ์ฌ์ดํด ๋ถ์์ ํ์ฉํ์ฌ, ๋จ๊ธฐ ์์ฅ ๋
ธ์ด์ฆ์ ํ๋ค๋ฆฌ์ง ์๊ณ ๋๊ท๋ชจ ์ถ์ธ์ ์์์ ์ ํฌ์ฐฉํ๋ ๋ฐ ์ง์คํฉ๋๋ค.
๋
ผ-๋ฆฌํ์ธํ
๊ตฌ์กฐ: ํ์ค๊ณผ ์๋ฎฌ๋ ์ด์
์ ์ผ์น
๐ฌ ๋
ผ-๋ฆฌํ์ธํ
์ฆ๋ช
์์ ์ ๊ณต ๊ฐ๋ฅ
โปโ "์ํ์ ๋ค๋ฉด 7๋
๊ฐ ๋ฆฌํ์ธํ
์ด ์์์ ์ฆ๋ช
ํ๋ ์์๋ ๋ณด์ฌ๋๋ฆด ์ ์์ต๋๋ค."
โ
์ค์๊ฐ ๊ฑฐ๋ ์ ๋ขฐ์ฑ: ๋ณธ ์ ๋ต์ ๋
ผ-๋ฆฌํ์ธํ
๊ตฌ์กฐ๋ก ๊ตฌ์ถ๋์ด, ์บ๋ค์ ์ข
๊ฐ๊ฐ ํ์ ๋ ํ์๋ง ๋งค์/๋งค๋ ์ ํธ๋ฅผ ์์ฑํฉ๋๋ค.
โ
๋ฐ์ดํฐ ๊ณผ์ฅ ๋ฐฉ์ง: ์ด๋ฌํ ์ค๊ณ๋ ๋ฐฑํ
์คํธ ๊ฒฐ๊ณผ๊ฐ ๊ณผ๊ฑฐ ์ฑ๊ณผ๋ฅผ '๋ฆฌํ์ธํ
'ํ๊ฑฐ๋ ๊ณผ์ฅํ์ง ์๋๋ก ๋ณด์ฅํ๋ฉฐ, ์๋ฎฌ๋ ์ด์
๊ฒฐ๊ณผ์ ์ค์ ๋ผ์ด๋ธ ๊ฑฐ๋ ํ๊ฒฝ ๊ฐ์ ๋์ ์๊ด๊ด๊ณ๋ฅผ ๋ณด์ฅํฉ๋๋ค.
โ
๋ผ์ด๋ธ ์คํ ์ฐ์ ๊ฐ๋ฅ์ฑ: ์๋ฎฌ๋ ์ด์
์ ์ข
๊ฐ ๊ธฐ์ค์ด์ง๋ง, ๋ผ์ด๋ธ ์ด์ ์ ์บ๋ค์ด ๋ง๊ฐ๋๊ธฐ ์ ๋ ์ ๋ฆฌํ ๊ฐ๊ฒฉ์ ์ง์
ํ ์ ์์ด ์๋ฎฌ๋ ์ด์
๊ฒฐ๊ณผ๋ณด๋ค ๋ ๋์ ์คํ ์ฑ๊ณผ๋ฅผ ์ป์ ๊ฐ๋ฅ์ฑ์ด ์์ต๋๋ค.
๐ IV. Performance Summary (November 14, 2018 - November 8, 2025)
| Metric | Value || Metric | Value |
|--------|-------|
| Initial Capital | $1,000,000 |
| Net Profit | +$26,091,383.74 |
| Cumulative Return | +2,609.14% |
| Maximum Drawdown | -6.999% |
| Total Trades | 24 |
| Winning Trades | 19 (79.17%) |
| Losing Trades | 5 (20.83%) |
| Avg Winning Trade | +$1,419,920.16 |
| Avg Losing Trade | -$177,419.86 |
| Profit Factor | 8.003 |
| Sortino Ratio | 11.486 |
| Win/Loss Ratio | 8.003 |
โ๏ธ Default Settings:
Slippage: 0 ticks
Commission: 0.333% (Bybit standard)
๐ IV. ์ฑ๊ณผ ์งํ ์์ฝ (2018๋
11์ 14์ผ ~ 2025๋
11์ 8์ผ)
|| ์งํ | ๊ฐ |
|--------|-------|
| ์ด๊ธฐ ์๋ณธ | $1,000,000 |
| ์์ด์ต | +$26,091,383.74 |
| ๋์ ์์ต๋ฅ | +2,609.14% |
| ์ต๋ ๋ํญ | -6.999% |
| ์ด ๊ฑฐ๋ ํ์ | 24 |
| ์์ต ๊ฑฐ๋ | 19 (79.17%) |
| ์์ค ๊ฑฐ๋ | 5 (20.83%) |
| ํ๊ท ์์ต ๊ฑฐ๋ | +$1,419,920.16 |
| ํ๊ท ์์ค ๊ฑฐ๋ | -$177,419.86 |
| ์์ต๋น | 8.003 |
| ์๋ฅดํฐ๋
ธ ๋น์จ | 11.486 |
| ํ๊ท ์์ต ๋น์จ | 8.003 |
โ๏ธ ๊ธฐ๋ณธ ์ค์ :
์ฌ๋ฆฌํผ์ง: 0ํฑ (๊ธฐ๋ณธ๊ฐ)
์์๋ฃ: 0.333% (Bybit ํ์ค)
๐ฅ V. Who Is This Strategy For?
โ
Long-term Bitcoin investors seeking stable, low-drawdown returns
โ
Traders tired of overtrading who prefer surgical, sniper-style precision entries
โ
Investors seeking psychological stability by avoiding large account swings
โ
Data-driven decision makers who value proven performance over marketing claims
๐ฅ V. ์ด ์ ๋ต์ ๋๊ตฌ๋ฅผ ์ํ ๊ฒ์ธ๊ฐ์?
โ
์์ ์ ์ด๊ณ ๋ฎ์ ๋ํญ์ ์์ต์ ์ถ๊ตฌํ๋ ์ฅ๊ธฐ ๋นํธ์ฝ์ธ ํฌ์์
โ
๊ณผ๋ํ ๋งค๋งค์ ์ง์น ํธ๋ ์ด๋๋ก ์ ๊ฒฉ์ ์คํ์ผ์ ์ ๋ฐํ ์ง์
์ ์ ํธํ๋ ๋ถ
โ
ํฐ ๊ณ์ข ๋ณ๋์ ํผํ์ฌ ์ฌ๋ฆฌ์ ์์ ์ฑ์ ์ถ๊ตฌํ๋ ํฌ์์
โ
์ฃผ์ฅ๋ณด๋ค ๊ฒ์ฆ๋ ๊ฐ๊ด์ ์ฑ๊ณผ๋ฅผ ์ค์ํ๋ ๋ฐ์ดํฐ ๊ธฐ๋ฐ ์์ฌ ๊ฒฐ์ ์
๐ VI. Access & Disclaimer
๐ Access Type: Invite-Only (Protected Source Code)
๐ฌ How to Get Access: Send a private message or leave a comment below
โ ๏ธ Important Disclaimer:
Past performance does not guarantee future results. Cryptocurrency and futures trading involve substantial risk of loss. This strategy is provided for educational and informational purposes only. Users should conduct their own research and consult with a financial advisor before making investment decisions. The author is not responsible for any financial losses incurred from using this strategy.
๐ VI. ์ ๊ทผ ๋ฐฉ๋ฒ ๋ฐ ๋ฉด์ฑ
์ฌํญ
๐ ์ ๊ทผ ์ ํ: ์ด๋ ์ ์ฉ (์์ค์ฝ๋ ๋ณดํธ)
๐ฌ ์ ๊ทผ ๋ฐฉ๋ฒ: ๋น๊ณต๊ฐ ๋ฉ์์ง ๋๋ ์๋ ๋๊ธ ๋จ๊ธฐ๊ธฐ
โ ๏ธ ์ค์ ๋ฉด์ฑ
์ฌํญ:
๊ณผ๊ฑฐ ์ฑ๊ณผ๊ฐ ๋ฏธ๋ ๊ฒฐ๊ณผ๋ฅผ ๋ณด์ฅํ์ง ์์ต๋๋ค. ์ํธํํ ๋ฐ ์ ๋ฌผ ๊ฑฐ๋๋ ์๋นํ ์์ค ์ํ์ ์๋ฐํฉ๋๋ค. ๋ณธ ์ ๋ต์ ๊ต์ก ๋ฐ ์ ๋ณด ์ ๊ณต ๋ชฉ์ ์ผ๋ก๋ง ์ ๊ณต๋ฉ๋๋ค. ์ฌ์ฉ์๋ ํฌ์ ๊ฒฐ์ ์ ๋ด๋ฆฌ๊ธฐ ์ ์์ฒด ์กฐ์ฌ๋ฅผ ์ํํ๊ณ ์ฌ๋ฌด ์๋ฌธ๊ฐ์ ์๋ดํด์ผ ํฉ๋๋ค. ์ ์๋ ๋ณธ ์ ๋ต ์ฌ์ฉ์ผ๋ก ์ธํ ์ฌ์ ์ ์์ค์ ๋ํด ์ฑ
์์ง์ง ์์ต๋๋ค.
๐ท๏ธ VII. Tags
Bitcoin |Bitcoin | BTCUSD | BTCUSD.P | Bybit | DailyChart | LongTerm | TrendFollowing | ADX | NonRepainting | Strategy | BacktestProven | SevenYears | LowDrawdown | HighProfitFactor | StableReturns | CapitalPreservation | Ichimoku | DMI | SuperTrend | TechnicalAnalysis | Volatility | RiskManagement | AutoTrading | Futures | PerpetualFutures | AlgorithmicTrading | SystematicTrading | DataDriven | InviteOnly | ProtectedScript | SnipperTrading | HighConviction | MDD | SortinoRatio
๐ท๏ธ VII. ํ๊ทธ
๋นํธ์ฝ์ธ |๋นํธ์ฝ์ธ | BTCUSD | BTCUSD.P | ๋ฐ์ด๋นํธ | ์ผ๋ด | ์ฅ๊ธฐํฌ์ | ์ถ์ธ์ถ์ข
| ADX | ๋
ผ๋ฆฌํ์ธํ
| ์ ๋ต | ๋ฐฑํ
์คํธ๊ฒ์ฆ | 7๋
๊ฒ์ฆ | ์ ๋ํญ | ๊ณ ์์ต๋น | ์์ ์์ต | ์๋ณธ๋ณด์กด | ์ผ๋ชฉ๊ท ํํ | DMI | ์ํผํธ๋ ๋ | ๊ธฐ์ ์ ๋ถ์ | ๋ณ๋์ฑ | ์ํ๊ด๋ฆฌ | ์๋๋งค๋งค | ์ ๋ฌผ | ๋ฌด๊ธฐํ์ ๋ฌผ | ์๊ณ ๋ฆฌ์ฆํธ๋ ์ด๋ฉ | ์์คํ
ํธ๋ ์ด๋ฉ | ๋ฐ์ดํฐ๊ธฐ๋ฐ | ์ด๋์ ์ฉ | ๋ณดํธ์คํฌ๋ฆฝํธ | ์ ๊ฒฉ์ํธ๋ ์ด๋ฉ | ๊ณ ํ์ | MDD | ์๋ฅดํฐ๋
ธ๋น์จ
๐ Note: This strategy is designed exclusively for Bybit BTCUSD.P perpetual futures on the 1-day (daily) timeframe. Performance may vary significantly on other symbols or timeframes.
๐ ์ฐธ๊ณ : ๋ณธ ์ ๋ต์ Bybit BTCUSD.P ๋ฌด๊ธฐํ ์ ๋ฌผ ๊ณ์ฝ์ 1์ผ๋ด(Daily) ํ์ํ๋ ์์ ์ ์ฉ์ผ๋ก ์ค๊ณ๋์์ต๋๋ค. ๋ค๋ฅธ ์ฌ๋ณผ์ด๋ ํ์ํ๋ ์์์๋ ์ฑ๊ณผ๊ฐ ํฌ๊ฒ ๋ฌ๋ผ์ง ์ ์์ต๋๋ค.
[Bybit BTCUSD.P] 7Years Backtest Results. 2,609% +Non-Repainting
๐ I. Strategy Overview: Trust Backed by Numbers
The ADX Sniper v12 strategy has been rigorously tested over 7 years, from November 14, 2018 to November 8, 2025, spanning every major cycle of the Bitcoin BTCUSD.P futures market. This strategy successfully balances two often-conflicting goals: maximizing profitability while minimizing volatility, all supported by objective performance data.
This strategy has been validated across all Bitcoin (BTCUSD.P) futures market cycles over a 7-year period.
โ Visual Proof: Bar Replay Simulation
The chart above demonstrates actual entry and exit points captured via TradingView's Bar Replay feature. The green rectangle highlights the core profitable trading zone, showing where the strategy successfully captured sustained uptrends. This visual evidence confirms:
1) Confirmed buy/sell signals with exact execution prices (marked in red and blue)
2) No repainting or signal distortion after candle close
3) Consistent performance across multiple market cycles within the highlighted zone
๐ฐ Core Performance Metrics:
Cumulative Return : 2,609.14% (compounded growth over 7 years)
Maximum Drawdown (MDD) : 6.999% (preserving over 93% of capital)
Average Profit/Loss Ratio : 8.003 (industry-leading risk-reward efficiency)
Total Trades : 24 (focused exclusively on high-conviction opportunities)
Sortino Ratio : 11.486 (mathematically proving robustness and stability)
โ
This strategy has been validated across all Bitcoin BTCUSD.P futures market cycles over a 7-year period.
๐ก๏ธ II. Core Philosophy: Cut Losses Short, Let Profits Run
Why MDD Stays Below 7% in a Volatile Market
The crypto futures market typically experiences daily volatility exceeding 10%, with most strategies enduring drawdowns between 30% and 50%. In stark contrast, this strategy has never exceeded a 7% account loss over seven years. This exceptional low MDD is achieved through deliberate design mechanisms, not luck:
๐ฏ Entry Filtering: The 'ADX Pop-up Filter' is the core component. It enables the strategy to strictly avoid trading when market conditions indicate major reversals or consolidation phases, thereby minimizing exposure to high-risk zones.
๐๏ธ Capital Preservation Priority: The strategy prioritizes investor psychological stability and capital preservation over pursuing maximum potential returns.
The Power of an 8.003 Profit Factor
The Profit Factor measures the ratio of total profitable trades to total losing trades. It's the most critical metric for assessing risk-adjusted returns.
A Profit Factor of 8.003 means that for every dollar lost, the strategy earns an average of eight dollars. This demonstrates the efficiency of a true trend-following strategy:
Cutting losses quickly (averaging $177,419 USD loss per trade)
Riding winners for maximum extension (averaging $1,419,920 USD profit per trade)
๐ฏ III. Strategy Reliability and Structural Edge
The Secret of 24 Trades in 7 Years
Only 24 trades over 7 years signifies that this strategy ignores 99% of market volatility and targets only the 1% of 'most certain buying cycles'. This approach eliminates the drag from excessive trading:
โ No commission bleed
โ No slippage erosion
โ No psychological wear from overtrading
๐ Long-Term Trend Following: The strategy analyzes Bitcoin's long-term price cycles to capture the onset of massive trends while remaining undisturbed by short-term market noise.
Non-Repainting Structure: Alignment of Reality and Simulation
๐ฌ Non-Repainting Proof Video Available
โปโ "If you wish, I can also show you a video as evidence of the non-repainting throughout the 7 years."
โ
Real-Time Trading Reliability: This strategy is built with a non-repainting structure, generating buy/sell signals only after each candle's closing price is confirmed.
โ
Preventing Data Exaggeration: This design ensures that backtest results do not 'repaint' or distort past performance, guaranteeing high correlation between simulated results and actual live trading environments.
โ
Live Trading Advantage: While simulations use closing prices, live trading may allow entry at more favorable prices before candle close, potentially yielding even better execution than backtest results.
๐ IV. Performance Summary (November 14, 2018 - November 8, 2025)
|| Metric | Value |
|--------|-------|
| Initial Capital | $1,000,000 |
| Net Profit | +$26,091,383.74 |
| Cumulative Return | +2,609.14% |
| Maximum Drawdown | -6.999% |
| Total Trades | 24 |
| Winning Trades | 19 (79.17%) |
| Losing Trades | 5 (20.83%) |
| Avg Winning Trade | +$1,419,920.16 |
| Avg Losing Trade | -$177,419.86 |
| Profit Factor | 8.003 |
| Sortino Ratio | 11.486 |
| Win/Loss Ratio | 8.003 |
โ๏ธ Default Settings:
Slippage: 0 ticks
Commission: 0.333% (Bybit standard)
๐ฅ V. Who Is This Strategy For?
โ
Long-term Bitcoin investors seeking stable, low-drawdown returns
โ
Traders tired of overtrading who prefer surgical, sniper-style precision entries
โ
Investors seeking psychological stability by avoiding large account swings
โ
Data-driven decision makers who value proven performance over marketing claims
๐ VI. Access & Disclaimer
๐ Access Type: Invite-Only (Protected Source Code)
๐ฌ How to Get Access: Send a private message or leave a comment below
โ ๏ธ Important Disclaimer:
Past performance does not guarantee future results. Cryptocurrency and futures trading involve substantial risk of loss. This strategy is provided for educational and informational purposes only. Users should conduct their own research and consult with a financial advisor before making investment decisions. The author is not responsible for any financial losses incurred from using this strategy.
๐ท๏ธ VII. Tags
Bitcoin |Bitcoin | BTCUSD | BTCUSD.P | Bybit | DailyChart | LongTerm | TrendFollowing | ADX | NonRepainting | Strategy | BacktestProven | SevenYears | LowDrawdown | HighProfitFactor | StableReturns | CapitalPreservation | Ichimoku | DMI | SuperTrend | TechnicalAnalysis | Volatility | RiskManagement | AutoTrading | Futures | PerpetualFutures | AlgorithmicTrading | SystematicTrading | DataDriven | InviteOnly | ProtectedScript | SnipperTrading | HighConviction | MDD | SortinoRatio
๐ Note: This strategy is designed exclusively for Bybit BTCUSD.P perpetual futures on the 1-day (daily) timeframe. Performance may vary significantly on other symbols or timeframes.
Stochastic + Bollinger Bands Multi-Timeframe StrategyThis strategy fuses the Stochastic Oscillator from the 4-hour timeframe with Bollinger Bands from the 1-hour timeframe, operating on a 10-hour chart to capture a unique volatility rhythm and temporal alignment discovered through observational alpha.
By blending momentum confirmation from the higher timeframe with short-term volatility extremes, the strategy leverages what some traders refer to as โrotating volatilityโ โ a phenomenon where multi-timeframe oscillations sync to reveal hidden trade opportunities.
๐ง Strategy Logic
โ
Long Entry Condition:
Stochastic on the 4H timeframe:
%K crosses above %D
Both %K and %D are below 20 (oversold zone)
Bollinger Bands on the 1H timeframe:
Price crosses above the lower Bollinger Band, indicating a potential reversal
โ A long trade is opened when both momentum recovery and volatility reversion align.
โ
Long Exit Condition:
Stochastic on the 4H:
%K crosses below %D
Both %K and %D are above 80 (overbought zone)
Bollinger Bands on the 1H:
Price reaches or exceeds the upper Bollinger Band, suggesting exhaustion
โ The long trade is closed when either signal suggests a potential reversal or overextension.
๐งฌ Temporal Structure & Alpha
This strategy is deployed on a 10-hour chart โ a non-standard timeframe that may align more effectively with multi-timeframe mean reversion dynamics.
This subtle adjustment exploits what some traders identify as โtemporal driftโ โ the desynchronization of volatility across timeframes that creates hidden rhythm in price action.
โ For example, Stochastic on 4H (lookback 17) and Bollinger Bands on 1H (lookback 20) may periodically sync around 10H intervals, offering unique alpha windows.
๐ Indicator Components
๐น Stochastic Oscillator (4H, Length 17)
Detects momentum reversals using %K and %D crossovers
Helps define overbought/oversold zones from a mid-term view
๐น Bollinger Bands (1H, Length 20, ยฑ2 StdDev)
Measures price volatility using standard deviation around a moving average
Entry occurs near lower band (support), exits near upper band (resistance)
๐น Multi-Timeframe Logic
Uses request.security() to safely reference 4H and 1H indicators from a 10H chart
Avoids repainting by using closed higher-timeframe candles only
๐ Visualization
A plot selector input allows toggling between:
Stochastic Plot (%K & %D, with overbought/oversold levels)
Bollinger Bands Plot (Upper, Basis, Lower from 1H data)
This helps users visually confirm entry/exit triggers in real time.
๐ Customization
Fully configurable Stochastic and BB settings
Timeframes are independently adjustable
Strategy settings like position sizing, slippage, and commission are editable
โ ๏ธ Disclaimer
This strategy is intended for educational and informational purposes only.
It does not constitute financial advice or a recommendation to buy or sell any asset.
Market conditions vary, and past performance does not guarantee future results.
Always test any trading strategy in a simulated environment and consult a licensed financial advisor before making real-world investment decisions.
BTC 1h StratUses LuxAlgo-style Support/Resistance levels (pivot-based, with volume break labels).
Adds momentum confirmation (RSI + MACD) to filter fakeouts.Keeps your swing breakout logic (close above swing high / below swing low).
Includes liquidity and TP/SL risk management.
HMA Envelope BUY & SELL Strategy (Non-Repainting BY RAVI KHADSE)Done โ I put the HMA Envelope BUY & SELL Strategy (Non-Repainting) script into the canvas as a code file.
Open the canvas document titled HMA Envelope BUY & SELL Strategy (Non-Repainting) to copy the Pine Script into TradingView.
MULTI time FRAME/session filter, different entry logic, alerts,
