Money Machine💰 Money Machine Trading Strategy
An advanced TradingView Pine Script strategy that combines RSI, MACD, and trend analysis with visual buy/sell zones for optimal trade entries and exits.
🎯 Strategy Overview
The Money Machine follows a strict set of rules to ensure high-probability trades:
Entry Rules
✅ BUY (Long) Conditions:
1. MACD line crosses ABOVE signal line (bullish crossover)
2. Overall trend is bullish (price above EMAs)
3. RSI is below 70 (not overbought)
✅ SELL (Short) Conditions:
1. MACD line crosses BELOW signal line (bearish crossover)
2. Overall trend is bearish (price below EMAs)
3. RSI is above 30 (not oversold)
Exit Rules
🚪 Exit Long: MACD line crosses below signal line
🚪 Exit Short: MACD line crosses above signal line
지표 및 전략
XAUUSD ELIRANTo build a professional and accurate description of your strategy, I have distilled the information you shared into a neat "Trading Plan". This strategy combines strict financial discipline with a desire for consistent growth in the Forex market.
Here is a suggestion for describing your strategy:
The "Safe Profit" Strategy: Capital Management and Growth in the Forex Market
The strategy focuses on preserving equity while creating cash flow for withdrawal and leveraging profits to purchase additional trading portfolios. The goal is to reduce personal risk and increase purchasing power in the market.
1. Capital and Withdrawal Goals
Starting Capital/Base: $2,250.
Periodic Profit Target: $1,000.
Withdrawal Policy: Upon reaching the profit target, the $1,000 is immediately withdrawn for "cash out" and reinvestment in additional trading portfolios.
2. Operational Logic (The Workflow)
The strategy operates in cycles of accumulation -> withdrawal -> expansion:
Accumulation phase: Focus on trading Forex assets with the aim of achieving a return of approximately 44% on the base portfolio.
Withdrawal phase: Defining the first $1,000 as net profit that leaves the market to ensure "money in your pocket".
Expansion phase: Using part of the profit that is withdrawn to purchase an additional trading portfolio, which allows for increased trading volume without increasing the risk on the original portfolio.
3. Advantages of the strategy
Psychological risk management: Knowing that you are withdrawing money "home" reduces mental stress and allows for cleaner decision-making.
Smart leverage: Purchasing additional portfolios creates diversification of risks between different accounts.
Self-discipline: Pre-defined profit and withdrawal targets prevent the "greed trap" that exists in Forex.
SPY 200SMA +4% Entry -3% Exit TQQQ/QLD/GLDM THREE PHASE STRATEGYWanted to take a look at all of the individual trades and provide a series of options to balance performance and risk. This post is expanding on my previous one - www.reddit.com
Here is the data and the backtesting splitting the strategy into three primary phases with multiple options and exact trade dates to help people easily backtest other combinations - docs.google.com (Three Tabs with the three phases)
If you just want my personal recommendations this would be what I will be using -
PHASE 1 (Strategy BUY signal triggers when SPY price crosses +4% over the SPY 200SMA) = 100% TQQQ
If trade lasts 366 days (Long Term Cap Gains) go to PHASE 2
If SPY price crosses below -3% SPY 200SMA go to PHASE 3
PHASE 2 (PHASE 1 lasts 366 days) = Deleverage and diversify into 50% QLD & 50% GLDM
PHASE 3 (Strategy SELL signal triggers when SPY price crosses -3% below the SPY 200SMA) = Defensive posture with 50% SGOV & 50% GLDM
As market degrades start selling SGOV and buying QQQ until 50% QQQ & 50% GLDM
TradingView Script for the THREE PHASE STRATEGY (imgur.com):
//
@version=
5
strategy("SPY 200SMA +4% Entry -3% Exit Strategy",
overlay=true,
default_qty_type=strategy.percent_of_equity,
default_qty_value=100)
// === Inputs ===
smaLength = input.int(200, title="SMA Period", minval=1)
entryThreshold = input.float(0.04, title="Entry Threshold (%)", step=0.01)
exitThreshold = input.float(0.03, title="Exit Threshold (%)", step=0.01)
startYear = input.int(1995, "Start Year")
startMonth = input.int(1, "Start Month")
startDay = input.int(1, "Start Day")
// === Time filter ===
startTime = timestamp(startYear, startMonth, startDay, 0, 0)
isAfterStart = time >= startTime
// === Calculations ===
sma200 = ta.sma(close, smaLength)
upperThreshold = sma200 * (1 + entryThreshold)
lowerThreshold = sma200 * (1 - exitThreshold)
// === Strategy Logic ===
enterLong = close > upperThreshold
exitLong = close < lowerThreshold
if isAfterStart
if enterLong and strategy.position_size == 0
strategy.entry("Buy", strategy.long)
if exitLong and strategy.position_size > 0
strategy.close("Buy")
// === 366-Day Marker Logic (Uninterrupted) ===
var
int
targetTime = na
// 1. Capture entry time only when a brand new position starts
if strategy.position_size > 0 and strategy.position_size == 0
targetTime := time + (366 * 24 * 60 * 60 * 1000)
// 2. IMPORTANT: If position is closed or a sell signal hits, reset the timer to "na"
if strategy.position_size == 0
targetTime := na
// 3. Trigger only if we are still in the trade and hit the timestamp
isAnniversary = not na(targetTime) and time >= targetTime and time < targetTime
// === Visuals ===
p_sma = plot(sma200, title="200 SMA", color=color.rgb(255, 0, 242))
p_upper = plot(upperThreshold, title="Entry Threshold (+4%)", color=color.rgb(0, 200, 0))
p_lower = plot(lowerThreshold, title="Exit Threshold (-3%)", color=color.rgb(255, 0, 0))
fill(p_sma, p_upper, color=color.new(color.green, 80), title="Entry Zone")
// Draw marker only if 366 days passed without a sell
if isAnniversary
label.new(bar_index, high, "366 DAYS - PHASE 2", style=label.style_label_down, color=color.yellow, textcolor=color.black, size=size.small)
// === Entry/Exit Labels ===
newOpen = strategy.position_size > 0 and strategy.position_size == 0
newClose = strategy.position_size == 0 and strategy.position_size > 0
if newOpen
label.new(x=bar_index, y=low * 0.97, text="BUY - PHASE 1", xloc=xloc.bar_index, yloc=yloc.price, color=color.lime, style=label.style_label_up, textcolor=color.black, size=size.small)
if newClose
label.new(x=bar_index, y=high * 1.03, text="SELL - PHASE 3", xloc=xloc.bar_index, yloc=yloc.price, color=color.red, style=label.style_label_down, textcolor=color.white, size=size.small)
200 SMA SPY Trading Range Bands Script:
//
@version=
5
indicator("200 SMA SPY Trading Range Bands", overlay=true)
// === Settings ===
smaLength = input.int(200, title="SMA Length")
mult1 = input.float(1.09, title="Multiplier 1 (9% Over)")
mult2 = input.float(1.15, title="Multiplier 2 (15% Over)")
// === Calculations ===
smaValue = ta.sma(close, smaLength)
line9Over = smaValue * mult1
line15Over = smaValue * mult2
// === Plotting ===
plot(smaValue, title="200 SMA", color=color.gray, linewidth=1, style=plot.style_linebr)
plot(line9Over, title="9% Over 200 SMA", color=color.rgb(255, 145, 0), linewidth=1)
plot(line15Over, title="15% Over 200 SMA", color=color.rgb(38, 1, 1), linewidth=2)
Shock Gap Bot [Enhanced]Shock Gap bot this to provide entry for pre market stocks , so you can get the bounce back
JB Trader - Scenario B: Visual Pro (Nifty 50)Description: Designed and developed by Jeya Bharathi (JB), Founder of JB Trader.
This is a high-precision scalping strategy specifically optimized for Nifty 50 and Bank Nifty. It combines trend-following logic with momentum and volume confirmation to capture quick moves in the intraday market.
Key Features:
Multi-Indicator Synergy: Integrates SuperTrend for trend direction and VWAP for institutional price alignment.
Candle Break Confirmation: Entries are triggered only when a price break occurs (High/Low) on the signal candle, ensuring momentum is on our side.
Volume Filter: Built-in volume analysis to filter out "false breakouts" during low-liquidity periods.
Visual Dashboard: Real-time on-chart table showing current trend status and decision-making (Buy/Sell/Wait).
Time-Restricted Trading: Optimized for Indian market hours (9:15 AM - 2:45 PM) to avoid end-of-day volatility.
Best Performance:
Timeframe: 3 Minutes or 5 Minutes.
Asset: Nifty 50 Index / Futures.
Declaration & Disclaimer:
Educational Purpose: This script is developed for educational and analytical purposes only.
Risk Warning: Trading involves significant risk. JB Trader is not responsible for any financial losses incurred using this strategy.
No Financial Advice: The signals generated by this script do not constitute financial advice. Users should consult a certified financial advisor before making any investment decisions.
Proprietary Logic: This code is the intellectual property of JB Trader (Jeya Bharathi). Unauthorized reproduction or redistribution is strictly prohibited.
US30 AsianRange 1900-0000 LIMIT OCO (1pct risk) 120 fib 30/150asian sweep at the 120 fib, aiming for 150 pips long and short buy limits set, once one is hit for the day cancel the opposite limit straight away
Session Liquidity Reversion Strategy (Asia Range False Breakout)Overview
This strategy is based on a session-driven liquidity hypothesis rather than a simple indicator combination.
During the Asian trading session, many markets enter a low-liquidity equilibrium, forming a relatively narrow price range. When higher-volume participants enter during the London and New York sessions, price often performs false expansions beyond this Asian range before reverting back toward fair value.
This script systematically identifies and trades those failed session expansions.
Core Concept
The strategy operates in three distinct phases:
Asia Session Range Formation
The high and low of the Asian session are recorded.
This range represents a temporary balance area formed under reduced participation.
Range Locking
Once the Asian session ends, the range is frozen.
No repainting or forward-looking calculations are used.
False Breakout Detection & Reversion
During the London/New York session, price must break beyond the Asia range and fail to hold.
A momentum filter (RSI) confirms rejection strength.
Trades are entered only after price closes back inside the range, targeting reversion rather than continuation.
This approach avoids chasing breakouts and instead focuses on liquidity traps and failed expansions.
Risk Management & Assumptions
Risk parameters are intentionally conservative and realistic:
Position sizing uses percentage of equity
Default risk per trade is approximately 2%
Stop losses are ATR-based, adapting to volatility
Risk-to-reward is fixed and configurable
Realistic commission and slippage are included
One trade per session is allowed to avoid over-exposure
No martingale, grid, or averaging logic is used.
Usage Notes
Recommended timeframes: 5m – 30m
Designed for: Forex, Indices, Crypto
Performance will vary by instrument and session volatility
All parameters are configurable for research and optimization
This strategy is intended for educational and research purposes, demonstrating how session-based liquidity behavior can be tested systematically using Pine Script.
Takashi Kotegawa Dip Reversal StrategyYou can use this alongside my other indicator to see if a stock is good with the indicator.
High Breakout PRO Huy Hoang Trader
High Breakout PRO - Strategy Description
## 🚀 Overview
**High Breakout PRO** is a professional-grade Trend Following strategy designed to capture major market moves while strictly managing risk. Built on the core philosophy of "Price Action Breakouts," this script enhances the classic Donchian Channel breakout method with modern risk management tools like the **Hybrid Exit** and **EMA Trend Filter**.
This strategy is optimized for **Gold (XAUUSD)**, **Bitcoin (BTC)**, and **Major Stocks (AAPL, AMZN)** on **H4 and Daily** timeframes.
## 💎 Key Features
1. **Trend Filter (EMA):** Only takes long positions when the price is above the 200-period EMA. This filters out counter-trend noise and significantly improves winning probability.
2. **Hybrid Exit Mechanism ("Holy Grail"):** A unique dynamic trailing stop that combines:
* **Price Structure:** Uses the lowest low of the last Y bars (Donchian Support).
* **Volatility:** Uses ATR-based trailing (Chandelier Exit logic).
* *Logic:* The system automatically chooses the **tighter** (higher) stop level between the two, ensuring you lock in profits rapidly during strong volatility while giving the trade room to breathe during accumulation.
3. **Professional Visuals:** A refined "Wealth & Earth" themes (Gold/Silver/Brown) specifically designed to reduce eye strain and provide clear, professional signal visibility without chart clutter.
## 🛠 Strategy Logic
### entry rules
* **Breakout:** Price closes above the Highest High of the last `X` bars (Default: 20).
* **Trend Confirmation:** Closing Price > EMA 200 (Configurable).
### Exit Rules
* **Dynamic Stop Loss:** The trade is closed when price breaches the **Hybrid Trailing Stop**.
* The Trailing Stop never moves down. It only moves up as price increases.
* It effectively adapts to both slow-grinding trends and explosive spikes.
## ⚙️ Best Settings (Recommended)
* **Timeframe:** H4 (Swing Trading) or Daily (Position Trading).
* **Entry Period (X):** 20
* **Exit Period (Y):** 10
* **Trend Filter:** ON (EMA 200)
* **Risk Management:** Hybrid Mode (ATR Multiplier 3.0)
## ⚠️ Disclaimer
This strategy follows trends. It may experience drawdowns during choppy/sideways markets. Always use proper risk management (position sizing) and backtest on your specific asset before live trading.
---
*Developed by Huy Hoang Trader. Empowering traders with institutional-grade tools.*
Contact for work: www.facebook.com
XAUUSD 1M SCALP BY ELIRAN"The 1% Sniper" Strategy: Fast Forex Trading (1-Minute Chart) This is a strategy for disciplined traders looking for short, sharp market moves. The goal is to achieve a daily/weekly target of a single 1%, which will accumulate to the $1,000.1 pullback target. Technical SetupTimeframe: 1 minute chart ($1M$).Recommended assets: Major forex pairs with low spreads (like $EUR/USD$ or $GBP/USD$).Supporting indicators: Moving average ( NYSE:EMA \ 20/50$) to identify a short-term trend, and supply and demand areas ($Supply\ &\ Demand$).2. ExecutionEntry: Identify strong momentum on the minute chart. Enter only when there is a built-in confirmation (e.g.: a "hammer" candle on a support level or a breakout of a market structure).Risk management: NGM:RISK \ Per\ Trade$ is fixed. Since the target is 1% per portfolio, we are looking for a risk-reward ratio ($R:R$) of at least $1:2$.The Goal: Once the portfolio has reached a 1% profit that day – close the screen. This discipline is what will get you to $1,000 faster without "Putting" money back into the market. 3. The financial roadmap In this strategy, we are not looking for a single "hit", but consistency: Base capital: $2,250. Daily target: 1% ($\approx $22.5). The path to withdrawal: After about 45 successful trading days (or less, if you increase the lot carefully), you reach the $1,000 withdrawal target. Why does it work for you? Short screen time: A 1-minute chart allows you to find opportunities quickly, take your percentage and go about your business. Clear goal: Instead of dreaming of millions, you are focused on the next 1%. This makes the path to the next portfolio much more tangible. Protection of the capital: Working on a few percentages protects your $2,250 from too sharp fluctuations. Important to remember: On a 1-minute chart, the "noise" in the market is high. Make sure you work with a broker who has low commissions so that they They won't eat your 1% profit.
SPY Quant ML + Session Filter Strategy [CocoChoco]S&P 500 Quant: Machine Learning & Mean Reversion (Session-Filtered)
Overview
This is a professional-grade quantitative strategy designed specifically for the S&P 500. It combines classical statistical mean reversion (Z-Score) with a modern Machine Learning filter and rigorous institutional-grade risk management.
The strategy is optimized for traders who prioritize high win rates and capital preservation, specifically avoiding the "gap risk" associated with holding positions overnight.
Core Methodology
1. Statistical Entry (The Z-Score Engine)
The strategy identifies "oversold" conditions in a bullish context. It calculates the Z-Score of the price relative to its 20-period Mean (SMA). By default, it looks for a -1.2 Standard Deviation extension, signaling a high-probability "dip" ripe for a snap-back to the mean.
2. Trend & ML Filters
To avoid "catching a falling knife," the strategy uses two layers of confirmation:
Trend Filter: Only takes Long positions when the price is above the 200-period SMA, ensuring we only buy dips in a confirmed uptrend.
ML Correlation Filter: A Machine Learning-inspired module that analyzes the correlation between RSI and Volatility (ATR). It only permits entries when market internal dynamics suggest a reversal is technically "healthy."
3. Institutional Risk Management
This script is built for "safety-first" automation:
Hard Stop Loss: Fixed at 1.5% to protect against sudden market shocks.
Active Trailing: A dual-trigger trailing stop. It activates once the price touches the 20 SMA (The Mean) OR once a trade reaches a 0.50% profit threshold. This ensures near-winners are protected and large runners are captured.
Intraday Circuit Breaker: Includes a Max Daily Drawdown (2%) limit. If hit, the script automatically closes losing positions and halts trading for the day, while allowing winning positions to continue.
Key Features
Session-Specific: Tailored for the US Trading Session (UTC/NY times).
Zero Overnight Risk: Automatically flattens all positions before the market close (16:00 NY Time).
Holiday Intelligence: Hard-coded logic for US Market Holidays and Early Closes (2026–2028), ensuring the bot doesn't get stuck in illiquid holiday markets.
Hourly Entry Cap: Limits entries to one per hour to prevent over-concentration during a single price leg.
How to Use
Timeframe: I suggest you use it on the 5-minute or 1-hour timeframe for optimal results.
Instrument: Designed for the S&P 500, but highly effective on SPY, IVV, and ES (Futures).
Pyramiding: Designed to handle up to 3 concurrent positions, allowing the strategy to scale into a move as the Z-Score deepens.
Automation Ready
This script is fully compatible with webhook-based automation tools. All signals (Entry, SL, Trail, Market Close, and Daily Limit) are clearly labeled in the Alert comments for seamless execution. I haven't tasted it though. This is not financial advice. Please perform your own tests and manage your risk.
Disclaimer
Past performance does not guarantee future results. This script is a tool for quantitative analysis and should be used as part of a broader diversified trading plan.
JAMS Intraday Forex EMA Trend Strategy (MTF + Sessions + DD)Strategy focused on following current trend with triple confirmation based on EMAs and VWAPs
Testthis is a test script
bool newClosed = strategy.closedtrades > strategy.closedtrades
if newClosed
int last = strategy.closedtrades - 1
// 最新平仓 trade 的关键信息
string eid = strategy.closedtrades.entry_id(last)
float epx = strategy.closedtrades.entry_price(last)
string xid = strategy.closedtrades.exit_id(last)
float xpx = strategy.closedtrades.exit_price(last)
float pnl = strategy.closedtrades.profit(last) // 注意：单位是策略币种/合约计价（受 commission 等影响）
// 判断是不是“止损”触发（看 exit_id）
bool isStop = str.startswith(xid, "S_SL_")
string msg = "CLOSED TRADE (new) " +"entry: " + eid + " @ " + str.tostring(epx) + " " +"exit : " + xid + " @ " + str.tostring(xpx) + " " +"pnl : " + str.tostring(pnl) + " " +"isStop=" + str.tostring(isStop)
label.new(bar_index, high, msg, style=label.style_label_down, textalign=text.align_left)
Martingale Grid BotMartingale Grid Bot (MGB)
The strategy is designed to test grid trading with a possible increase in the size of each subsequent order based on the martingale principle. The strategy itself does not contain any trade decision logic and is fully driven by external signals coming from indicators used on the chart. A new grid of orders is created when an entry signal is received, provided that there is no active grid.
❗ Warning
Trading with leverage and martingale involves increased risk. This strategy is a rather rough tool and is intended for testing purposes only. The author is not responsible for any possible discrepancies between the strategy results and real trading.
Settings
Direction - Trading direction. Possible values: Long and Short.
Entry Signal Source - Source of the entry signal that initiates the creation of a new order grid. If one of the price sources (open, high, low, close, etc.) is selected, a new grid will be created automatically after the previous grid is fully closed.
Start Time - Date and time when the strategy starts operating. Marked on the chart with a vertical dashed line.
No Repainting Mode - A mode intended to reduce discrepancies between historical and real-time strategy behavior (repainting).
Enabled — a new grid is created only after the bar is closed. The first order can be filled no earlier than on the next bar.
Disabled — in real-time, a new grid can be created immediately upon receiving a signal or after the previous grid is closed by take profit or stop loss.
❗ Attention
For correct real-time operation, recalculation on every tick must be enabled in the strategy settings.
GRID
Grid Depth % - The depth of the order grid, specified as a percentage of the closing price at the moment the grid is created.
Orders Count - The number of orders in the grid. The first order is placed at the current closing price at the time of grid creation.
Martingale Multiplier - Position size multiplier. Each subsequent order in the grid will be increased by this factor. The size of the first order is defined in the strategy settings.
Leverage - Leverage multiplier for margin trading. Used to check available funds when creating grid orders. It is recommended to use it together with the margin parameters in the strategy settings.
Take Profit % - Calculated on each strategy update based on the average entry price. If none of the grid orders have been filled yet, the take-profit level for the first order is displayed on the chart.
Stop Loss % - Calculated from the price of the first grid order and does not change during the strategy operation. Orders whose price exceeds the stop-loss level will be automatically canceled.
TABLE
Show Table - Controls the display of the table with all orders of the current grid. If there is no active grid, no order data is displayed. Text and background colors are determined automatically based on the chart background color.
Order Size - Determines how the grid order size is displayed: in contracts or in currency.
Table Size - Font size in the table.
Timezone - Used to correctly display the order fill time relative to the chart time. The order fill time (status: filled) can be seen by hovering over the corresponding status cell in the table.
VISUAL
Long Entry - Color of the dotted lines representing grid orders when trading long. Also defines the color of the vertical line indicating the strategy start time.
Short Entry - Color of the dotted lines representing grid orders when trading short. Also defines the color of the vertical line indicating the strategy start time.
Take Profit - Color of the solid line representing the take-profit level.
Stop Loss - Color of the solid line representing the stop-loss level.
Ross GPT - Momentum Scalp 1mThis strategy is a long-only momentum scalping system designed for the 1-minute timeframe, combining VWAP, EMA trend alignment, MACD momentum, volume confirmation, and session filtering to identify high-probability intraday entries for pre-market session and U.S small cap stocks with high % change compared to previous day. Apply only for stock price between $2-$20.
⸻
1️⃣ Date Range Filter
The strategy trades only within a user-defined date range.
• Default range: Feb 1, 2026 – Dec 31, 2069
• Trades are ignored outside this period
• Useful for controlled backtesting and forward testing
⸻
2️⃣ Indicators Used
VWAP
• Used as a trend and mean-reversion filter
• Only long trades are allowed when price is above VWAP
MACD (12, 26, 9)
• Momentum confirmation
• Entry requires MACD line > Signal line
• Exit is triggered if MACD crosses below Signal
Exponential Moving Averages
• EMA 9
• EMA 20
• EMA 50
• EMA 200 (visual reference)
Trend Bias Requirement
• Bullish alignment:
• EMA 9 > EMA 20 > EMA 50
Volume Strength (Price Action Proxy)
• Counts bullish candles over the last 5 bars
• Entry requires at least 3 green candles
• Used as a confirmation of buying pressure
⸻
3️⃣ Session Filter
Trades are allowed only during a specific intraday session:
• 06:59 – 09:00 (exchange time)
• Designed to focus on high-liquidity morning momentum
⸻
4️⃣ Entry Conditions (Long Only)
A buy signal is generated when all of the following are true:
• Price is above VWAP
• MACD line is above Signal line
• EMA alignment confirms bullish trend
• Bullish candle count condition is met
• Current bar is within the allowed session
• Current bar is within the selected date range
• No existing open position
Only one position at a time is allowed.
⸻
5️⃣ Trade Execution
• Market entry when all conditions align
• Fixed position sizing (default: 500 units)
• Commission and slippage are included for realism
⸻
6️⃣ Exit Logic
Primary Exit (Bracket Order)
• Take Profit: +0.25
• Stop Loss: -0.10
• Managed using strategy.exit for intra-bar accuracy
Indicator-Based Exit
• If MACD crosses below the Signal line, the position is closed immediately at market
This dual exit system allows both quick scalps and early momentum failure exits.
⸻
7️⃣ Visual Aids
The strategy plots all key indicators used in decision-making:
• EMA 9, 20, 50, 200
• VWAP
This allows easy visual verification of entries and exits directly on the chart.
⸻
⚠️ Notes
• Designed for scalping and short-duration trades
• Best suited for high-liquidity instruments
• Results may vary depending on symbol, spread, and market conditions
• This script is for educational and research purposes only
High Breakout PRO - Huy Hoang Trader
# High Breakout PRO - Huy Hoang Trader - Strategy Description
## 🚀 Overview
**High Breakout PRO** is a professional-grade Trend Following strategy designed to capture major market moves while strictly managing risk. Built on the core philosophy of "Price Action Breakouts," this script enhances the classic Donchian Channel breakout method with modern risk management tools like the **Hybrid Exit** and **EMA Trend Filter**.
This strategy is optimized for **Gold (XAUUSD)**, **Bitcoin (BTC)**, and **Major Stocks (AAPL, AMZN)** on **H4 and Daily** timeframes.
## 💎 Key Features
1. **Trend Filter (EMA):** Only takes long positions when the price is above the 200-period EMA. This filters out counter-trend noise and significantly improves winning probability.
2. **Hybrid Exit Mechanism ("Holy Grail"):** A unique dynamic trailing stop that combines:
* **Price Structure:** Uses the lowest low of the last Y bars (Donchian Support).
* **Volatility:** Uses ATR-based trailing (Chandelier Exit logic).
* *Logic:* The system automatically chooses the **tighter** (higher) stop level between the two, ensuring you lock in profits rapidly during strong volatility while giving the trade room to breathe during accumulation.
3. **Professional Visuals:** A refined "Wealth & Earth" themes (Gold/Silver/Brown) specifically designed to reduce eye strain and provide clear, professional signal visibility without chart clutter.
## 🛠 Strategy Logic
### entry rules
* **Breakout:** Price closes above the Highest High of the last `X` bars (Default: 20).
* **Trend Confirmation:** Closing Price > EMA 200 (Configurable).
### Exit Rules
* **Dynamic Stop Loss:** The trade is closed when price breaches the **Hybrid Trailing Stop**.
* The Trailing Stop never moves down. It only moves up as price increases.
* It effectively adapts to both slow-grinding trends and explosive spikes.
## ⚙️ Best Settings (Recommended)
* **Timeframe:** H4 (Swing Trading) or Daily (Position Trading).
* **Entry Period (X):** 20
* **Exit Period (Y):** 10
* **Trend Filter:** ON (EMA 200)
* **Risk Management:** Hybrid Mode (ATR Multiplier 3.0)
## ⚠️ Disclaimer
This strategy follows trends. It may experience drawdowns during choppy/sideways markets. Always use proper risk management (position sizing) and backtest on your specific asset before live trading.
---
*Developed by Antigravity. Empowering traders with institutional-grade tools.*
Contact for work: www.facebook.com
KELTNER BREAKOUT STRATEGY FOR CRYPTO ASSETS 1. Philosophy: The "Volatility Breakout"
The core philosophy is that **momentum precedes price**. By waiting for a break above the Keltner Channel, you aren't just betting that the price will go up; you are betting that the price has enough energy (volatility) to move outside its standard deviation.
Asset Class Suitability: This strategy is specifically designed for **Cryptocurrencies**. Because Crypto often moves in parabolic cycles with high volatility, it can sustain the "overextended" moves required to stay outside the Keltner Channels.
Why not FX or Stocks? Traditional markets like Forex are typically mean-reverting, and Stocks often have "gap" risks or lower intraday volatility. In those markets, hitting the upper KC band often signals exhaustion. In Crypto, it’s often the signal that the "real" move is starting.
The "Let Winners Run" Mantra: No fixed Take Profit (TP) allows you to capture "fat-tail" returns—those rare, massive trends that make up the bulk of a trend-follower's profits.
2. Background: The Components
*Keltner Channels: Uses Average True Range (ATR) rather than standard deviation. This makes the bands more representative of actual price action and volatility gaps common in crypto.
The 100 MA Anchor: The 100-period Simple Moving Average acts as the "line in the sand." It filters out noise and provides a trailing exit that only triggers when the macro trend has officially shifted.
3. Trading Cheat Sheet (Copy-Paste Ready)
Market Environment
Asset Focus: Crypto Only (High Volatility assets).
Trend Filter: Price must be outside the KC 100 bands to confirm a macro trend.
Long Setup (Buy)
Macro Requirement: Price must be trading ABOVE the KC 100 Upper Band.
Entry Trigger: Price crosses ABOVE the KC 20 Upper Band.
Mandatory Exit: Price closes BELOW the MA 100.
Short Setup (Sell)
Macro Requirement: Price must be trading BELOW the KC 100 Lower Band.
Entry Trigger: Price crosses BELOW the KC 20 Lower Band.
Mandatory Exit: Price closes ABOVE the MA 100.
Risk Management
Take Profit: None (Trend-following approach).
Stop Loss: Trailing via the MA 100.
Serhan deneme 2Sadece deneme için yapılan bir çalışma, geliştirdikçe paylaşacağm, lütfen fazla dikkate almayınız.
Bullish Divergent Bar DCA Strategy [Skyrexio]Overview
Bullish Divergent Bar DCA Strategy is a long-only, multi-layer Dollar-Cost Averaging (DCA) strategy that builds positions around bullish divergent bars formed below the Williams Alligator. It detects potential local bottoms and then scales into the move using up to four pyramiding entries, each with its own size and price threshold. The strategy optionally incorporates Market Facilitation Index (MFI) and Awesome Oscillator (AO) momentum to strengthen reversal confirmation and uses ATR-based take profit on the averaged entry price.
Unique Features
Layered DCA entries with equity-based sizing . It supports up to four DCA layers, where each additional layer is opened only after a configurable percentage drawdown from the first entry and position size is computed as a fraction of current equity via a geometric weighting scheme.
Optional AO and MFI confirmation . Users can require Awesome Oscillator momentum divergence, MFI/volume “squat” bars, or both to confirm that the reversal bar is accompanied by capitulation and weakening downside momentum.
ATR-based dynamic take profit . Take profit is defined as a multiple of ATR added to the current average entry price, automatically adjusting exits to prevailing volatility.
Built-in DCA visualization . The script can plot the initial entry level and all DCA thresholds to make the averaging structure and risk visually transparent on the chart.
Methodology
The core entry logic starts from a bullish divergent bar definition: the bar must close above its midpoint (close > hl2) and be the lowest low within the user-defined lookback window, flagging a local swing low. On top of this, the bar must form entirely below all three Alligator lines, ensuring that the pattern appears after a sustained downside move rather than inside noise.
If enabled, AO adds a momentum filter by requiring the Awesome Oscillator difference to be negative (descending bar on AO histogram), signaling fading downside momentum at the potential bottom. If the MFI filter is enabled, the bar (or one of the last two bars) must be a “squat” bar where spread narrows while volume increases, approximating effort vs. result exhaustion.
Once a valid bullish reversal bar is detected and the time is within the configured trading window, the strategy opens the first DCA layer using a stop entry at the bar’s high (confirmation level), only entering if price actually breaks the bar high. Additional layers (second, third, and fourth entries) are only allowed if price trades below percentage thresholds from the first entry price and a new valid bullish reversal bar forms, thereby averaging down into deep pullbacks while still requiring fresh reversal evidence.
While any DCA position is open, the strategy continuously recalculates the take profit as the current volume-weighted average entry price plus ATR multiplied by a user-defined factor. All individual entries share the same take profit level through separate strategy exit calls, so the entire stacked position exits together once price has moved sufficiently above the averaged entry.
Strategy settings
In the inputs window, users can configure the following strategy settings:
sourceUuid / secretToken: Identifiers used to format JSON alerts for automated execution through webhooks.
Trade Start Date/Time: Beginning of the backtest/live-trading window.
Trade Stop Date/Time: End of the backtest/live-trading window.
Show DCA Levels (default = false): Toggles plotting of the initial entry level and all three DCA thresholds on the chart.
Enable MFI (default = false): Enables the MFI-style volume/spread filter.
Enable AO (default = false): Enables Awesome Oscillator confirmation.
Number Of Bar For Lowest Bar (default = 7): Lookback window used to identify the lowest low bar for the bullish reversal bar condition.
Layer 2 Threshold Percent (default = 4.0): Percentage drop from the first layer price that must be reached to allow the second DCA entry.
Layer 3 Threshold Percent (default = 10.0): Percentage drop from the first layer price required to unlock the third DCA layer.
Layer 4 Threshold Percent (default = 22.0): Percentage drop from the first layer price required to unlock the fourth DCA layer.
Position Size Multiplier (default = 2.0): Multiplier used in the geometric weighting scheme to determine how much equity is allocated to each additional DCA layer.
Number Of ATR For Take Profit (default = 2.0): ATR multiple added to the current average entry price to calculate the shared take profit for all open layers.
Users can refine these parameters during backtesting to fit the volatility profile and structure of the specific asset and timeframe.
Justification of Methodology
Before understanding why this particular combination of indicator has been chosen let's briefly explain what is Williams Alligator, MFI and AO.
let’s start with the Williams Alligator. Developed by Bill Williams, the Alligator is a technical indicator that identifies trends and potential market reversals. It consists of three smoothed moving averages:
Jaw (Blue Line): The slowest of the three, based on a 13-period smoothed moving average shifted 8 bars ahead.
Teeth (Red Line): The medium-speed line, derived from an 8-period smoothed moving average shifted 5 bars forward.
Lips (Green Line): The fastest line, calculated using a 5-period smoothed moving average shifted 3 bars forward.
When the lines diverge and align in order, the "Alligator" is "awake," signaling a strong trend. When the lines overlap or intertwine, the "Alligator" is "asleep," indicating a range-bound or sideways market. This indicator helps traders determine when to enter or avoid trades.
The Awesome Oscillator (AO), developed by Bill Williams, is a momentum indicator designed to measure market momentum by contrasting recent price movements with a longer-term historical perspective. It helps traders detect potential trend reversals and assess the strength of ongoing trends.
The formula for AO is as follows:
AO = SMA5(Median Price) − SMA34(Median Price)
where:
Median Price = (High + Low) / 2
SMA5 = 5-period Simple Moving Average of the Median Price
SMA 34 = 34-period Simple Moving Average of the Median Price
The Market Facilitation Index (MFI) is a technical indicator that measures the price movement per unit of volume, helping traders gauge the efficiency of price movement in relation to trading volume. Here's how you can calculate it:
MFI = (High−Low)/Volume
MFI can be used in combination with volume, so we can divide 4 states. Bill Williams introduced these to help traders interpret the interaction between volume and price movement. Here’s a quick summary:
Green Window (Increased MFI & Increased Volume): Indicates strong momentum with both price and volume increasing. Often a sign of trend continuation, as both buying and selling interest are rising.
Fake Window (Increased MFI & Decreased Volume): Shows that price is moving but with lower volume, suggesting weak support for the trend. This can signal a potential end of the current trend.
Squat Window (Decreased MFI & Increased Volume): Shows high volume but little price movement, indicating a tug-of-war between buyers and sellers. This often precedes a breakout as the pressure builds.
Fade Window (Decreased MFI & Decreased Volume): Indicates a lack of interest from both buyers and sellers, leading to lower momentum. This typically happens in range-bound markets and may signal consolidation before a new move.
For our purposes we are interested in squat bars. This is the sign that volume cannot move the price easily. This type of bar increases the probability of trend reversal. In this indicator we added to enable the MFI filter of reversal bars. If potential divergent bar or two preceding bars have squat state this bar can be interpret as a reversal one.
The strategy intentionally focuses on bullish divergent bars forming at local lows and below the Alligator to catch potential exhaustion points in downtrends where risk/reward becomes asymmetric. The Alligator (Jaw, Teeth, Lips) acts as a dynamic structure filter: requiring price to be below all three lines before reversal helps avoid chasing minor pullbacks inside an ongoing uptrend and instead concentrates entries on deeper corrections where mean reversion potential is higher.
The custom bullish divergent bar rule (close above midpoint and being the lowest low over N bars) approximates a local capitulation candle, which often precedes short squeezes or at least strong reactions. By combining this with AO and MFI-style filters, the strategy further increases the likelihood that the pattern coincides with downside momentum(as a confirmation that current trend is downward, AO difference < 0) and effort vs. result anomalies (squat bars), which is common signatures of trend exhaustion.
The DCA structure is designed to deploy capital progressively rather than all at once: the first entry is triggered only if price confirms the reversal by breaking above the bar’s high, while subsequent layers require both a deeper discount relative to the initial entry and a new bullish reversal signal. Percentage thresholds from the first entry ensure that each additional allocation is made at meaningfully better prices, improving the blended entry level and reducing the break-even distance.
Finally, using ATR as the basis for take profit aligns exits with current volatility. A fixed-percentage target can be too tight in volatile regimes or too loose in quiet markets, whereas ATR-based targets scale with average bar range. Applying ATR to the evolving average entry price of all open layers keeps the risk/reward framework consistent across different volatility regimes and DCA configurations.
Backtest Results
Operating window: Date range of backtests is 2025.01.01 - 2026.01.01. It is chosen to let the strategy to close all opened positions.
Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks.
Initial capital: 10000 USDT
Maximum Single Position Loss: -6.56%
Maximum Single Profit: +4.92%
Net Profit: +934.08 USDT (+9.34%)
Total Trades: 121 (82.64% win rate)
Profit Factor: 2.948
Maximum Accumulated Loss: 624.72 USDT (-6.15%)
Average Profit per Trade: 7.72 USDT (+0.37%)
Average Trade Duration: 60 hours
These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters.
You should run your own backtests on the target asset and timeframe (for example, BTC/USDT on intraday charts) and adjust threshold percentages, layer sizing, and ATR take profit factor to match your risk tolerance and market conditions.
How to Use
Add the script to favorites for easy access.
Apply to the desired timeframe and chart.
Configure settings using the dropdown choice list in the built-in menu.
Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}}
Disclaimer:
Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation
