Advanced Strategy Template This script is a strategy execution and risk-management template designed to test external indicators under consistent and repeatable conditions.
The script does not generate buy or sell signals internally. All trade entries and exits are driven by a user-supplied indicator through a numeric connector. This design intentionally separates signal generation from trade execution, allowing users to evaluate indicators without rewriting strategy logic.
Purpose and Originality
The purpose of this template is to provide a standardized execution framework rather than a trading methodology.
Instead of embedding a specific signal logic, the script focuses on how trades are managed after a signal occurs. This allows users to:
Benchmark different indicators under identical execution rules
Compare stop-loss and take-profit models objectively
Study the impact of risk constraints on performance
Reduce bias caused by inconsistent trade management
This makes the script suitable for educational testing and experimentation, not for presenting a profitable strategy.
How the Signal Connector Works
The strategy listens to a single numeric data source supplied by an external indicator.
The indicator must output values using the following convention:
1 → open long position
-1 → open short position
0 → no action
Optional:
2 → custom close for long
-2 → custom close for short
The strategy reacts only to these values and ignores all other indicator logic.
Example Connector Code (Indicator Side)
Users must add the following logic to their indicator to make it compatible with this template:
// Strategy Connector
// 1 = Buy
// -1 = Sell
// 0 = No Signal
signal = buySignal ? 1 : sellSignal ? -1 : 0
plot(signal, title="Connector", display=display.none)
buySignal and sellSignal represent the indicator’s own conditions
The connector plot is hidden and used only as a data source
How to Connect the Indicator to the Strategy
Add the indicator (with connector output) to the chart
Add this strategy template to the same chart
Open the strategy’s settings
Set Data source to the indicator’s Connector plot
Configure risk, stop-loss, and take-profit settings as required
The strategy will not execute trades unless a valid connector signal is received.
Execution and Risk-Management Features
This template provides configurable execution modules including:
Position sizing and pyramiding control
Maximum drawdown and intraday loss limits
Consecutive win, loss, and losing-day limits
Stop-loss methods (percent, trailing, ATR, structure-based)
Take-profit models (single target, tiered targets, risk-reward, Fibonacci levels)
Optional breakeven logic
Session-based trading control
All execution logic operates independently of the signal source.
Strategy Properties and Results
Default strategy properties are intentionally conservative and provided only as a demonstration baseline.
Backtest results depend entirely on:
The connected indicator
Market and timeframe selection
User-defined execution parameters
Results shown by this template do not represent a trading edge and should not be interpreted as investment advice.
Intended Use
This script is intended for:
Educational study of trade execution and risk control
Indicator benchmarking under identical execution rules
Exploring how exits and risk constraints influence outcomes
It is not intended to promote or present a standalone trading strategy.
Indicators and strategies
BB Strategy FINAL - NAPRAWIONAstrategia BB plus świece volumenowe. Wybicie procentowe poza wstęgi bolingera ustawiane ręcznie plus stochastic RSI.
BB Strategy + Volume Spikes. Manual percentage breakout outside Bollinger Bands with Stochastic RSI filter.
SMC Sniper(ETH/30m/fee 0.044%)# SMC Sniper Strategy (ETH/30m) Institutional Smart Money Concepts & Risk-Managed DCA
This strategy is designed to capture high-probability reversals on Ethereum (ETHUSDT) using Institutional Order Blocks and Smart Money Concepts (SMC). Unlike simple indicator-based strategies, this script identifies structural liquidity points where price is likely to react.
It has been optimized for the 30-minute timeframe with a focus on "Long-Only" setups to align with the long-term bullish nature of crypto assets.
🚀 Key Features
Smart Order Blocks: Automatically draws and trades based on Bullish/Bearish Order Blocks (OB).
Volatility Filter: Integrated VIX, USDT.D, and MOVE Index filters (optional) to avoid trading during Black Swan events or extreme market crashes.
Smart Leverage: Dynamically adjusts position sizing based on RSI and EMA trends (Trend Following).
Panic Protection: Includes a "Circuit Breaker" to pause DCA buying when volatility exceeds safe thresholds.
⚙️ Optimized Settings (Default)
Pair: ETHUSDT (Perpetual Futures)
Timeframe: 30 Minutes
Direction: Long Only (Recommended for stability)
Base Entry: 13% of Equity
DCA Multiplier: 1.8x (Martingale Logic Applied)
Commission Setting: 0.044% (Bybit/Binance Standard)
⚠️ Risk Warning & Disclaimer
This strategy utilizes Dollar Cost Averaging (DCA). While DCA can significantly increase the win rate (currently backtested at ~74%), it carries the risk of drawdown during prolonged trends against your position.
Leverage: Do NOT use high leverage. I recommend 1x to 3x Max.
Management: Always monitor the "Black Swan" filters.
Liability: This script is for educational purposes. Past performance does not guarantee future results. Use at your own risk.
📈 Future Updates
I am currently developing a "Pro Version" (No-Martingale, Fixed Risk) with a tighter risk-reward ratio. Follow me to get notified when the Pro version is released!
March-May Oct-Dec bank stocks strategyIn the Indian market, banking stocks have some sort of cyclic nature.
If you buy at the start of March and sell at the start of May and then buy at the start of Oct and sell at the start of December, you can make gains close to to "buy and hold", while being invested only for 4 months out of 12.
This seems to backtest well for post 2021 on all Bank stocks I tested, including BANKNIFTY as well
Caveat: Not calculating STCG and other expenses caused by selling and buying 2 times every year.
Double Bollinger Bands Strategy_investalotDual Bollinger Band Swing Trading System Indicator Setup
• Bollinger Band 1: Period 20, Deviation 2
• Bollinger Band 2: Period 20, Deviation 0.7
• Timeframe: Daily (Primary)
• Markets: NSE Equity – Liquid Large & Mid Caps
Market Conditions
• 20 SMA must slope upward for long trades • Price must hold above 200 DMA
• Avoid flat or sideways markets
Buy Setup – Trend Continuation
1. Strong impulse move into upper BB (20,2)
2. Pullback into zone between BB (20,0.7) and 20 SMA 3. Bullish candle confirmation inside value zone
Entry Rules
• Buy above bullish confirmation candle high
• Volume should be at least average or higher
Stop Loss Rules
• Initial SL below 20 SMA
• Aggressive SL below BB (20,0.7) lower
Targets & Exit
• Target 1: Upper BB (20,0.7)
• Target 2: Upper BB (20,2)
• Trail SL to 20 SMA once price enters momentum zone
Risk Management
• Risk per trade: 0.5% – 1% of capital
• Maximum 3 open swing trades at a time
Trade Avoidance Rules
• Avoid earnings weeks
• Avoid low volume stocks
• Avoid trades when price remains inside BB (20,0.7)
LinReg Slope + Acceleration Filterlinear regression, with acceleration, long when slope is positive and exists when acceleration is 0, shorts are slope is negative, acceleration is negative and exits when slope returns to 0. use 100 length
Vishall ForcePRO displayVishall ForcePRO display - every minute force for stock/ indices
Vishall ForcePRO display - every minute force for stock/ indices
Vishall ForcePRO display - every minute force for stock/ indices
Vishall ForcePRO display - every minute force for stock/ indices
Optimized Range + RSI + MACD + Fibonacci + Risk Mgmtiron condor nsdkdkikdkckdkkellkemlfnlwlnelkflkwenlflkwklefnlkw
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.
LinReg Slope Momentumbasic lin reg momentum strategy, use 100 length. Longs on positive slope and shorts on a negative.
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.
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*Developed by Antigravity. Empowering traders with institutional-grade tools.*
Contact for work: www.facebook.com
Crypto Scalper: Hybrid Fixed/Trailing RRStrategy Overview: Scalping Hybrid — Trend Pullback with ATR-Driven Trailing Profit
This strategy is a high-precision systematic scalping framework engineered specifically for volatile assets like BTC. It leverages a dual-EMA architecture to define market structure, while employing a sophisticated "hybrid" exit logic that allows traders to choose between a classic fixed reward or a dynamic trailing system.
1. Market Regime & Trend Identification
The strategy utilizes two primary anchors to ensure it remains on the correct side of the market:
The Trend Anchor (EMA 200): Acts as the definitive filter. Longs are only permitted when price is above the 200 EMA; shorts only below it.
The Value Zone (EMA 20): Instead of chasing breakouts, the strategy waits for Mean Reversion. It identifies a "pullback" when price returns to touch or penetrate the 20 EMA, offering a superior entry price compared to momentum-chasing systems.
2. Multi-Dimensional Execution Filters
To eliminate "fakeouts" and low-probability setups, the strategy cross-references three critical data points before triggering an entry:
Institutional Alignment (VWAP): Ensures entries are occurring at or near the Volume Weighted Average Price, confirming institutional participation.
Volatility Threshold (ATR Filter): Prevents trading in "dead" or flat markets. The strategy only activates if current volatility is higher than its 50-period average.
Momentum Confirmation (Close Strength): A trade is only opened if the signal candle closes with high conviction (top 60% of the range for longs), proving that the reversal from the pullback is real.
3. Precision Risk Management (ATR-Based)
Risk is mathematically standardized using the Average True Range (ATR). By calculating stops based on current volatility rather than fixed pips/dollars, the strategy automatically loosens during high-volatility spikes and tightens during stable moves.
Stop Loss (SL): Fixed at the moment of entry at 1.0x ATR.
Cooldown Period: A mandatory 5-bar pause after every exit prevents "revenge trading" or entering twice during the same choppy consolidation.
4. Hybrid Exit Architecture (Fixed vs. Trailing)
This is the core innovation of the strategy. Users can toggle between two modes:
Fixed TP Mode: Uses a standard 1:2 Reward-to-Risk ratio (or user-defined) for consistent, predictable outcomes.
Trailing TP Mode: This is a "Runner" logic. The trailing stop remains dormant until the trade reaches a profit threshold (e.g., +1R). Once activated, it follows the price at a distance defined by ATR or a percentage. This allows the strategy to capture massive trending moves while protecting the initial risk.
Crypto Institutional Liquidity Sweep StrategyStrategy Overview: Institutional Liquidity Sweep & Trend Convergence
This strategy is a high-conviction systematic trading framework designed to exploit "stop-runs" and liquidity grabs within a dominant market trend. It combines institutional price action concepts with mathematical filters to ensure entries occur only when trend direction, volatility, and liquidity align.
1. The Trend Framework (EMA 200 Filter)
The foundation of the strategy is the 200-period Exponential Moving Average (EMA). This acts as a "Directional North Star."
Long Bias: Trades are only considered when price is above the EMA 200.
Short Bias: Trades are only considered when price is below the EMA 200.
Buffer Logic: An optional percentage buffer can be applied to avoid "choppy" entries when price is hugging the moving average.
2. The Entry Trigger (Liquidity Sweeps)
The strategy identifies Institutional Liquidity Pools using Swing Highs and Swing Lows (Pivots).
The Sweep: The system waits for price to pierce below a recent structural low (Bullish Sweep) or above a recent structural high (Bearish Sweep).
The Trap: It then monitors for a "reclaim" where price quickly rejects the level. This suggests that the breach was not a breakout, but a hunt for stop-losses to fuel a move in the opposite direction.
3. Secondary Confirmation Filters
To maximize the win rate, the strategy requires a Secondary Filter to confirm market health (User selectable):
V olatility Oscillator: Ensures the market is in an Expansion Phase. It requires the oscillator to be rising, indicating that momentum is behind the reversal.
Smart Trendlines (Structure): Uses Linear Regression Slope to ensure the immediate micro-structure is aligned with the macro-trend.
4. Entry Confirmation (The Reversal Candle)
A trade is not triggered simply because a level was swept. The strategy requires a Reversal Confirmation:
Price Location: The candle must close in the upper 40% (for longs) or lower 40% (for shorts) of its total range.
Directional Body: The candle must close bullish for longs and bearish for shorts, confirming that buyers or sellers have seized control of the bar.
5. Risk Management (Fixed 1:2 RR)
The strategy prioritizes capital preservation through an ATR-based (Average True Range) risk model:
Static Exits: Upon entry, the Stop Loss and Take Profit levels are calculated and locked. They do not move, ensuring a mathematically pure 1:2 Reward-to-Risk ratio.
Volatility Adjusted: The distance of the stop loss is determined by the ATR, meaning the strategy automatically widens stops during high volatility and tightens them during calm periods.
BTC Trend Pullback (EMA200+EMA20) w/ ATR 1:2 RRStrategy Overview: BTC Trend Pullback (EMA200+EMA20)This strategy is a trend-following mean reversion system designed to capture high-probability entries within an established market regime. It utilizes a "dual-filter" approach: identifying the long-term trend while waiting for a short-term "cooldown" (pullback) before entering on a momentum confirmation signal.1. Trend Identification & FilteringThe strategy establishes market direction using the 200-period Exponential Moving Average (EMA).Bullish Regime: Price must be trading above the 200 EMA.Bearish Regime: Price must be trading below the 200 EMA.ADX Filter (Optional): To avoid "choppy" or sideways markets, an Average Directional Index (ADX) filter ensures that the trend has sufficient strength (typically $> 20$) before any trades are considered.2. The Pullback (Mean Reversion)Rather than chasing a breakout, this strategy waits for price to return to its "value zone"—the 20-period EMA.The script offers two modes for the pullback:Touch: A conservative entry where the candle wick merely taps the 20 EMA.Close Beyond: A more aggressive entry where the price must close on the opposite side of the 20 EMA, suggesting a deeper retracement.3. Execution via ConfirmationTo prevent "catching a falling knife," a trade is only triggered when price shows signs of resuming the primary trend. The user can select from:Bullish/Bearish Engulfing: A classic price action pattern where the current candle "swallows" the previous candle's body.Strong Close: A candle that closes in the top or bottom 40% of its total range (indicating high directional conviction).4. Risk Management (1:2 Reward-to-Risk)The strategy employs an Average True Range (ATR) based exit system to adapt to market volatility.Stop Loss (SL): Placed at $1.0 \times \text{ATR}$ from the entry price.Take Profit (TP): Placed at $2.0 \times \text{ATR}$ from the entry price.By using ATR, the strategy "breathes" with the market; stops are wider during high volatility and tighter during low volatility, maintaining a mathematically consistent 1:2 Reward-to-Risk ratio.
KAPISH Weekly Open + Trailing SLThis script is a highly precise, rule-based breakout strategy designed to trade the Weekly Open price level. It is built for a "Jane Street" style of disciplined execution, meaning it prioritizes confirmation over speed to avoid market noise and "fakeouts."Here is the structural breakdown of how the script functions:1. The Core Anchor: Weekly OpenThe strategy uses the Weekly Open as its "Fair Value" line.It assumes that if price holds above the Weekly Open, the weekly trend is bullish.If price holds below, the trend is bearish.It applies your 0.01 buffer to ensure the breakout is meaningful and not just a "touch" of the level.2. The Precision Filter: 2-Candle DelayThis is the most critical part of the logic. Most retail traders enter the moment a level is crossed. This script does the opposite:Step 1: Price crosses the Weekly Open $\pm$ 0.01. (Marked by a tiny gray circle).Step 2: The script waits for two full candles to close.Step 3: On the third candle, it checks: "Is price still above/below the Weekly Open?"Result: If yes, it fires the BUY/SELL 2QTY signal. This filters out "stop-hunts" where price spikes and immediately reverses.3. Professional Trade Management (The "Split-Exit")Instead of exiting the whole trade at once, the script manages 2 Units (QTY) differently:Target 1 (TP1): A fixed "offload" point. This is designed to capture quick profit and reduce the risk of the trade.Target 2 (TP2) + Trailing SL: The second unit is the "runner."It aims for a larger target.It utilizes a Trailing Stop Loss that "climbs" behind the price. If price moves 30 points in your favor, the stop loss moves up 30 points automatically.
BN 90% Institutional Alpha LiveBN 90% Institutional Alpha Live
BN 90% Institutional Alpha Live
BN 90% Institutional Alpha Live
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.
JAMS Intraday Forex EMA Trend Strategy (MTF + Sessions + DD)Strategy focused on following current trend with triple confirmation based on EMAs and VWAPs
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.
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.
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):
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@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)






















