MACD + Stochastic Power Scalper Version 4.0Stochastic RSI + MACD Scalper. Works for Crypto Futures pairs across multiple timeframes.
Kitaran
Bull-Bear Power Scalper Version 3.0Stochastic RSI EMA Scalper. Ideal for scalping high volatility crypto futures pairs. Uses ATR or percentage based SL.
ETH Scalper Version 1.0Ethereum Scalper across various timeframes. Uses ATR for TP and SL. Scalps based on volume.
ETH Scalper Version 1.0ETH Scalper Version 1.0 - Uses Volume pressure to gauge quick scalping entries. TP and SL based on ATR.
JD-MONEY 2 ENTRADAS/DIAJD-MONEY FIXED Strategy - For Intraday Trading
A simple and straightforward strategy, with clear rules and optimized parameters for intraday trading.
**Features:**
✅ **Two configurable trading times**
✅ **Defined risk management** (fixed stop and take)
✅ **Clear logic** for entries and exits
✅ No rebounds or pyramiding
Ideal for traders seeking a disciplined and straightforward approach.
*Configure the times according to your preference and let the strategy identify opportunities!*
*Note: Always trade with appropriate risk management. Past results do not guarantee future performance.*
CME_MINI:NQ1!
*Script by José Doroteu*
JD-MONEY 2 ENTRADAS/DIAJD-MONEY FIXED Strategy - For Intraday Trading
A simple and straightforward strategy, with clear rules and optimized parameters for intraday trading.
**Features:**
✅ **Two configurable trading times**
✅ **Defined risk management** (fixed stop and take)
✅ **Clear logic** for entries and exits
✅ No rebounds or pyramiding
Ideal for traders seeking a disciplined and straightforward approach.
*Configure the times according to your preference and let the strategy identify opportunities!*
*Note: Always trade with appropriate risk management. Past results do not guarantee future performance.*
CME_MINI:NQ1!
*Script by José Doroteu*
Stochastic Scalping Strategy with EMA Filter Version 2.0Stochastic Scalping Strategy for BTC, ETH and SOL. Uses MACD moves + Stochastic, with trailing stops.
Stochastic Scalping Strategy with EMA FilterStochastic Scalper - ideal for ETH and SOL on 1 and 3 minute timeframes. Uses MACD and Stochastic for quick scalp entries.
Curry/Schlink AKA: The Kitchen Sink! (Enhanced)# The Kitchen Sink Strategy: A Story of Brotherhood and Innovation
## The Origin Story
Deep in the Pacific Northwest, at McChord Air Force Base in Washington, two aircraft maintainers were grinding through another long shift on the flight line. The massive C-17 Globemaster towered above them as they worked side by side, turning wrenches and troubleshooting systems that kept America's airlift capability running.
These weren't just any maintainers - they were brothers in arms, bound by the unique camaraderie that only comes from working on multi-million dollar aircraft where precision and attention to detail literally means life or death. One was a seasoned Crew Chief, the other an Engine troop - different specialties, but united by the same Air Force blue and the same dream of financial freedom beyond their military paychecks.
During those long nights between sorties, conversations would drift from hydraulic systems and engine diagnostics to something that fascinated them both: the financial markets. They'd watch charts on their phones during breaks, discussing price movements with the same analytical mindset they brought to aircraft troubleshooting.
**The Air Force taught them systems thinking** - how multiple components work together to create something greater than the sum of their parts. It taught them discipline, risk management, and the critical importance of checklists and procedures. Most importantly, it taught them that when lives are on the line, you don't wing it - you follow proven processes.
They realized that if they could master the complexities of keeping 585,000-pound aircraft mission-ready, they could certainly figure out how to read market patterns.
## Birth of "The Kitchen Sink"
Working in the maintenance world, they knew the value of redundancy. Aircraft have backup systems for their backup systems. So when they started developing their trading strategy, they applied the same principle: **multiple confirmation systems working together**.
They called it "The Kitchen Sink" - not because it was messy, but because they threw everything reliable into it. Just like their aircraft pre-flight checklists, every component had to work in harmony before they'd commit to a trade.
**Their mission was clear**: Create a strategy that would help fellow maintainers - Crew Chiefs, Engine troops, Avionics techs, and all the hardworking enlisted personnel - dominate the markets and build wealth beyond their military careers.
## How to Use The Kitchen Sink Strategy
### Understanding the Components
This strategy combines multiple technical indicators, just like aircraft systems work together:
**1. Triple Moving Average System (The Trend Engine)**
- Uses three different timeframe averages that must align
- Think of it like your aircraft's three-engine redundancy
- **For uptrends**: Price must be above the short average, short above medium, medium above long
- **For downtrends**: The reverse - everything cascading downward
- This creates a strong directional filter
**2. Volume Confirmation (The Power Check)**
- Requires above-average volume to validate moves
- Like checking engine power settings before takeoff
- No volume = no conviction = no trade
**3. RSI Filter (The Momentum Gauge)**
- Choose your RSI logic based on market conditions:
- **"Standard (Momentum)"**: Trade with the trend - buy strength, sell weakness
- **"Contrarian (Mean Reversion)"**: Trade pullbacks - buy dips, sell spikes
- **"Disabled"**: Remove RSI filter entirely
- Experiment to see what works for your trading style
**4. Time Filter (Operations Schedule)**
- Only trades during active market hours (default: 7 AM - 4 PM)
- Avoids low-liquidity periods
- Just like how aircraft ops follow specific schedules
### Risk Management (Mission Critical)
**ATR-Based Stop Losses and Take Profits:**
- **ATR (Average True Range)** automatically adjusts your risk based on market volatility
- Volatile markets = wider stops, Calm markets = tighter stops
- Default settings: 2.0 ATR for profits, 1.5 ATR for stops
- This gives you approximately 1.33:1 reward-to-risk ratio
**Position Sizing:**
- Default: **2% of account per trade** (much safer for beginners)
- Can be adjusted from 1-3% based on your risk tolerance and experience
- **Never risk more than you can afford to lose**
- As a maintainer, you know that safety margins save lives - same principle applies to trading
### How to Read the Signals
**Buy Signal Requirements (ALL must be true):**
- Bullish moving average alignment ✓
- Volume above average ✓
- RSI condition met (based on your selected logic) ✓
- Within trading hours ✓
- Green arrow appears below the candle
**Sell Signal Requirements (ALL must be true):**
- Bearish moving average alignment ✓
- Volume above average ✓
- RSI condition met ✓
- Within trading hours ✓
- Red arrow appears above the candle
### Pro Tips for Success
**1. Start Small**
- Paper trade first to understand the signals
- Begin with smaller position sizes until you're comfortable
**2. Backtest Different Settings**
- Try different RSI logic modes
- Adjust ATR multipliers based on your risk tolerance
- Test various timeframes to find your sweet spot
**3. Maintain Discipline**
- Follow the signals - don't second-guess the system
- Stick to your risk management rules
- Keep detailed trade logs
**4. Market Adaptation**
- Switch RSI logic based on market conditions
- Use "Standard" in trending markets
- Use "Contrarian" in ranging markets
### The Maintainer's Advantage
As military maintainers, you already have the discipline, attention to detail, and systems thinking that most traders lack. You understand:
- Following procedures saves lives (and money)
- Redundant systems prevent failures
- Regular maintenance prevents major breakdowns
- Teamwork and continuous learning are essential
**Crew Chiefs and Engine troops unite!** This strategy was built by maintainers, for maintainers. It's your ticket to financial freedom beyond the flight line.
Remember: Just like aircraft maintenance, trading is about consistency, discipline, and following proven procedures. The markets might not have Technical Orders, but this strategy is your trading manual.
*Stay disciplined, stay profitable, and may your trades always be mission-ready.*
---
**Disclaimer**: Trading involves risk. Always use proper risk management and never trade with money you can't afford to lose. This strategy was developed for educational purposes and past performance doesn't guarantee future results.
Monday-Range Strategy This strategy takes range-breakout entries based on Monday’s daily open, high, low, and midpoint (EQ).
* - Entries:
* • Long when price crosses above Monday’s Open
* • Short when price crosses below Monday’s EQ (midpoint)
* - Exits:
* • Long exits at Monday’s High (limit) or Monday’s EQ (stop)
* • Short exits at Monday’s Low (limit) or Monday’s Open (stop)
Time-Cycle Strategy•Native cryptocurrency and tokens share common periodic patterns.
•Stablecoins have distinct intraday and intraweek dynamics.
•The returns on stablecoins are uncorrelated with other cryptocurrencies.
•Tokens contribute more to the risk on cryptocurrency market than other coins.
•The betas in functional CAPM of cryptocurrency are periodic functions.
ZYTX SuperTrend V1ZYTX SuperTrend V1 Indicator
Multi-strategy intelligent rebalancing with >95% win rate
Enables 24/7 automated trading
High Win Rate XAUUSD Strategy (EMA21 + RSI + Volume MA20)Buy Conditions:
Price above EMA 21
EMA 21 is rising
RSI > 55 and RSI increasing
Close is above EMA 21
Current candle is green (close > open)
Volume > MA20 of volume
Price below EMA 21
EMA 21 is falling
RSI < 45 and RSI decreasing
Close is below EMA 21
Current candle is red (close < open)
Volume > MA20 of volume
Supertrend Strategy 1M1min supertrend
Uses Supertrend to define entry/exit
Enters long when trend flips to uptrend
Enters short when trend flips to downtrend
Uses strategy.exit with optional stop loss and take profit
NASDAQ Liquidity Breaker Bot1. Define session time (7:20 PM – 7:40 PM BD time / 9:20–9:40 AM EST)
2. Detect 15M swing high/low zones
3. On 1M chart: Detect strong bullish/bearish break
4. Identify breaker candle zone
5. Trigger entry based on break + retest logic
6. Set SL and TP logic (dynamic if needed)
7. Plot everything visually (entries, exits, zones)
Simple DCA Strategy----
### 📌 **Simple DCA Strategy with Backtest Date Filter**
This strategy implements a **Dollar-Cost Averaging (DCA)** approach for long positions, including:
* ✅ **Base Order Entry:** Starts a position with a fixed dollar amount when no position is open.
* 🔁 **Safety Orders:** Buys additional positions when the price drops by a defined percentage, increasing position size with each new entry using a multiplier.
* 🎯 **Take Profit Exit:** Closes all positions when the price reaches a profit target (in % above average entry).
* 🗓️ **Backtest Date Range:** Allows users to specify a custom start and optional end date to run the strategy only within that time window.
* 📊 **Plots:** Visualizes average entry, take profit level, and safety order trigger line.
#### ⚙️ Customizable Inputs:
* Base Order Size (\$)
* Price Deviation for Safety Orders (%)
* Maximum Safety Orders
* Order Size Multiplier
* Take Profit Target (%)
* Start and End Dates for Backtesting
This is a **long-only strategy** and is best used for backtesting performance of DCA-style accumulation under different market conditions.
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Strategi FVG 09:31 (Pro)FVG 09:31 Strategy (Pro)
In short, this is an automated trading strategy (bot) for TradingView designed to execute buy or sell orders based on a Fair Value Gap (FVG) pattern. The strategy is highly specific, as it only triggers on the 1-minute timeframe and looks for an FVG that forms precisely at 09:32 AM New York time.
Main Purpose of the Strategy
The primary goal of this script is to identify and capitalize on short-term price imbalances, known as Fair Value Gaps (FVGs). It operates during a specific, high-volatility window right after the U.S. stock market opens, often referred to by traders as the "Silver Bullet" session. By automating the detection and execution, it aims to trade these fleeting opportunities with precision.
How the Strategy Works
The strategy follows a clear, step-by-step logical flow on your chart.
1. Time & Timeframe Restriction
1-Minute Timeframe: The strategy is hard-coded to work only on the 1-minute (1m) chart. A warning label will appear on your chart if you apply it to any other timeframe.
Specific Time Window: The core logic activates only between 09:32 and 09:33 AM New York time. It searches for an FVG pattern formed by the three candles from 09:29, 09:30, and 09:31, with the pattern confirmation happening on the close of the 09:31 candle.
2. Fair Value Gap (FVG) Detection
An FVG is a three-candle pattern that signals a price imbalance.
Bullish FVG (Potential Buy): Occurs when the low of the first candle is higher than the high of the third candle. The space between these two prices is the FVG zone.
Bearish FVG (Potential Sell): Occurs when the high of the first candle is lower than the low of the third candle. The space between these two prices is the FVG zone.
If this pattern is detected at the target time, the strategy draws a colored box on the chart to visualize the FVG zone (aqua for bullish, fuchsia for bearish).
3. Entry Logic
The strategy provides two user-selectable methods for entering a trade:
Retracement (Immediate Entry): The strategy will open a position with a market order as soon as the price retraces back into the identified FVG zone.
For a Bullish FVG, a Long (buy) position is opened when the price drops to touch the upper boundary of the FVG.
For a Bearish FVG, a Short (sell) position is opened when the price rises to touch the lower boundary of the FVG.
Limit Order (Pending Entry): The strategy places a pending limit order at the edge of the FVG zone.
For a Bullish FVG, a Buy Limit order is placed at the upper boundary of the FVG.
For a Bearish FVG, a Sell Limit order is placed at the lower boundary of the FVG.
Order Expiration: If the limit order is not filled within a specified number of candles (default is 15), it is automatically canceled to avoid chasing a stale setup.
4. Exit Logic
Once a position is active, the strategy automatically manages the exit by setting a Take Profit (TP) and Stop Loss (SL) level. You can choose between two types:
Ticks (Fixed Points): You define a fixed profit target and loss limit in ticks (the smallest price movement). For example, a 200-tick TP and a 100-tick SL.
Last Swing (Dynamic Levels): The TP and SL are set dynamically based on the most recent swing high or swing low.
For a Long position: Take Profit is set at the last swing high; Stop Loss is at the last swing low.
For a Short position: Take Profit is set at the last swing low; Stop Loss is at the last swing high.
5. Daily Management
At the start of each new trading day, the script performs a reset. All variables, including any FVG data from the previous day, are cleared. This ensures the strategy only acts on fresh signals from the current day and cancels any pending orders from the day before.
Explanation of Settings (Inputs)
Here is what each user-configurable setting does:
Entry Type: Choose your preferred entry method: Retracement or Limit Order.
Order Expiration (Candles): Applies only to the Limit Order type. Sets how many candles an unfilled order will remain active before being canceled.
Stop Loss Type: Choose Ticks for a fixed-distance stop loss or Last Swing for a dynamic level.
Take Profit Type: Choose Ticks for a fixed-distance profit target or Last Swing for a dynamic level.
Pivot Lookback (SL/TP Swing): Defines how many candles the script looks back to identify the most recent swing high/low for the Last Swing SL/TP type.
Contract Size: The quantity or lot size for each trade.
Take Profit (in Ticks): The profit target distance if using the Ticks type.
Stop Loss (in Ticks): The maximum loss distance if using the Ticks type.
Holy GrailThis is a long-only educational strategy that simulates what happens if you keep adding to a position during pullbacks and only exit when the asset hits a new All-Time High (ATH). It is intended for learning purposes only — not for live trading.
🧠 How it works:
The strategy identifies pullbacks using a simple moving average (MA).
When price dips below the MA, it begins monitoring for the first green candle (close > open).
That green candle signals a potential bottom, so it adds to the position.
If price goes lower, it waits for the next green candle and adds again.
The exit happens after ATH — it sells on each red candle (close < open) once a new ATH is reached.
You can adjust:
MA length (defines what’s considered a pullback)
Initial buy % (how much to pre-fill before signals start)
Buy % per signal (after pullback green candle)
Exit % per red candle after ATH
📊 Intended assets & timeframes:
This strategy is designed for broad market indices and long-term appreciating assets, such as:
SPY, NASDAQ, DAX, FTSE
Use it only on 1D or higher timeframes — it’s not meant for scalping or short-term trading.
⚠️ Important Limitations:
Long-only: The script does not short. It assumes the asset will eventually recover to a new ATH.
Not for all assets: It won't work on assets that may never recover (e.g., single stocks or speculative tokens).
Slow capital deployment: Entries happen gradually and may take a long time to close.
Not optimized for returns: Buy & hold can outperform this strategy.
No slippage, fees, or funding costs included.
This is not a performance strategy. It’s a teaching tool to show that:
High win rate ≠ high profitability
Patience can be deceiving
Many signals = long capital lock-in
🎓 Why it exists:
The purpose of this strategy is to demonstrate market psychology and risk overconfidence. Traders often chase strategies with high win rates without considering holding time, drawdowns, or opportunity cost.
This script helps visualize that phenomenon.
HMA Crossover + ATR + Curvature (Long & Short)📏 Hull Moving Averages (Trend Filters)
- fastHMA = ta.hma(close, fastLength)
- slowHMA = ta.hma(close, slowLength)
These two HMAs act as dynamic trend indicators:
- A bullish crossover of fast over slow HMA signals a potential long setup.
- A bearish crossunder triggers short interest.
⚡️ Curvature (Acceleration Filter)
- curv = ta.change(ta.change(fastHMA))
This calculates the second-order change (akin to the second derivative) of the fast HMA — effectively the acceleration of the trend. It serves as a filter:
- For long entries: curv > curvThresh (positive acceleration)
- For short entries: curv < -curvThresh (negative acceleration)
It helps eliminate weak or stagnating moves by requiring momentum behind the crossover.
📈 Volatility-Based Risk Management (ATR)
- atr = ta.atr(atrLength)
- stopLoss = atr * atrMult
- trailStop = atr * trailMult
These define your:
- Initial stop loss: scaled to recent volatility using ATR and atrMult.
- Trailing stop: also ATR-scaled, to lock in gains dynamically as price moves favorably.
💰 Position Sizing via Risk Percent
- capital = strategy.equity
- riskCapital = capital * (riskPercent / 100)
- qty = riskCapital / stopLoss
This dynamically calculates the position size (qty) such that if the stop loss is hit, the loss does not exceed the predefined percentage of account equity. It’s a volatility-adjusted position sizing method, keeping your risk consistent regardless of market conditions.
📌 Execution Logic
- Long Entry: on bullish HMA crossover with rising curvature.
- Short Entry: on bearish crossover with falling curvature.
- Exits: use ATR-based trailing stops.
- Position is closed when trend conditions reverse (e.g., bearish crossover exits the long).
This framework gives you:
- Trend-following logic (via HMAs)
- Momentum confirmation (via curvature)
- Volatility-aware execution and exits (via ATR)
- Risk-controlled dynamic sizing
Want to get surgical and test what happens if we use curvature on the difference between HMAs instead? That might give some cool insights into trend strength transitions.
LANZ Strategy 1.0 [Backtest]🔷 LANZ Strategy 1.0 — Time-Based Session Trading with Smart Reversal Logic and Risk-Controlled Limit Orders
This backtest version of LANZ Strategy 1.0 brings precision to session-based trading by using directional confirmation, pre-defined risk parameters, and limit orders that execute overnight. Designed for the 1-hour timeframe, it allows traders to evaluate the system with configurable SL, TP, and risk settings in a fully automated environment.
🧠 Core Strategy Logic:
1. Directional Confirmation at 18:00 NY:
At 18:00 NY, the system compares the 08:00 open vs the 18:00 close:
If the direction matches the previous day, the signal is reversed.
If the direction differs, the current day's trend is kept.
This logic is designed to avoid momentum exhaustion and capture corrective reversals.
2. Entry Level Definition:
Based on the confirmed direction:
For BUY, the Low of the day is used as Entry Point (EP).
For SELL, the High of the day becomes EP.
The system plots a Stop Loss and Take Profit based on user-defined pip inputs (default: SL = 18 pips, TP = 54 pips → RR 1:3).
3. Time-Limited Entry Execution (LIMIT Orders):
Orders are sent after 18:00 NY and can be triggered anytime between 18:00 and 08:00 NY.
If EP is not touched before 08:00, the order is automatically cancelled.
4. Manual Close Feature:
If the trade is still open at the configured hour (default 09:00 NY), the system closes all positions, simulating realistic intraday exit scenarios.
5. Lot Size Calculation Based on Risk:
Lot size is dynamically calculated using the account size, risk percentage, and SL distance.
This ensures consistent risk exposure regardless of market volatility.
⚙️ Step-by-Step Flow:
08:00 NY → Captures the open of the day.
18:00 NY → Confirms direction and defines EP, SL, and TP.
After 18:00 NY → If conditions are met, a LIMIT order is placed at EP.
Between 18:00–08:00 NY → If price touches EP, the trade is executed.
At 08:00 NY → If EP wasn’t touched, the order is cancelled.
At Configured Manual Close Time (default 09:00 NY) → All open positions are force-closed if still active.
🧪 Backtest Settings:
Timeframe: 1-hour only
Order Type: strategy.entry() with limit=
SL/TP Configurable: Yes, in pips
Risk Input: % of capital per trade
Manual Close Time: Fully adjustable (default 09:00 NY)
👨💻 Credits:
Developed by LANZ
Strategy logic and trading concept built with clarity and precision.
Code structure and documentation by Kairos, your AI trading assistant.
Designed for high-confidence execution and clean backtesting performance.