AltCoin Index Correlation🧠 AltCoin Index Correlation — Strategy Overview
AltCoin Index Correlation is a dynamic EMA-based trading strategy designed primarily for altcoins, but also adaptable to stocks and indices, thanks to its flexible reference index system.
🧭 Strategy Philosophy
The core idea behind this strategy is simple yet powerful:
Price action becomes more meaningful when it aligns with broader market context.
This script analyzes the correlation between the asset’s trend and a reference index trend, using dual EMA (Exponential Moving Average) crossovers for both.
When both the altcoin and the reference index (e.g. Altcoin Dominance, BTC Dominance, Total Market Cap, or even indices like the NASDAQ 100 or S&P 500) are aligned in trend direction, the script considers it a high-confidence setup.
It also includes:
Optional inverse correlation logic (for contrarian setups)
Custom leverage settings (e.g., 1x, 1.8x, etc.)
A dynamic scale-out mechanism during weakening trends
Date filtering for controlled backtests
A live performance dashboard with equity, PnL, win rate, drawdown, APR, and more
⚙️ Default Settings & Backtest Results
Timeframe tested: 1H
Test date: May 20, 2025
Sample: 100 high-cap altcoins
Reference index: CRYPTOCAP:OTHERS.D (Altcoin Dominance)
Leverage: 1.8x (180% of capital used)
📊 With default settings:
Win rate: ~80%
Higher profits, due to increased exposure
Best suited for confident trend followers with higher risk tolerance
📉 With fixed capital or 1x leverage:
Win rate improves to ~90%
Lower returns, but greater capital preservation
Ideal for conservative or risk-managed trading styles
🔄 Versatility
While tailored for altcoins, this strategy supports traditional markets as well:
Easily switch the reference index to OANDA:NAS100USD or S&P 500 for stock correlation trading
Adjust EMA lengths and leverage to match the asset class and volatility profile
🧩 Suggested Use
Best used on trending markets (not sideways)
Ideal for 1H timeframes, but adjustable
Suitable for traders who want a rules-based, macro-aware entry/exit system
Try it out, customize it to your style, try different settings and share your results with the community!
Feedback is welcome — and improvements are always in progress.
🚀 ### Check my profile for other juicy hints and original strategies. ### 🚀
Indicators and strategies
V2_Livermore-Seykota Breakout)V2_ Livermore-Seykota Breakout Strategy
Objective: Execute breakout trades inspired by Jesse Livermore, filtered by trend confirmation (Ed Seykota) and risk-managed with ATR (Paul Tudor Jones style).
Entry Conditions:
Long Entry:
Close price breaks above recent pivot high.
Price is above main EMA (EMA50).
EMA20 > EMA200 (uptrend confirmation).
Current volume > 20-period SMA (volume confirmation).
Short Entry:
Close price breaks below recent pivot low.
Price is below main EMA (EMA50).
EMA20 < EMA200 (downtrend confirmation).
Current volume > 20-period SMA.
Exit Conditions:
Stop-loss: ATR × 3 from entry price.
Trailing stop: activated with offset of ATR × 2.
Strengths:
Trend-aligned entries with volume breakout confirmation.
Dynamic ATR-based risk management.
Inspired by principles of three legendary traders.
Scalping EMA + RSI Strategy (Long & Short)Scalping EMA with RSI Strategy.
Entry Criteria: Indicators, price action, or patterns triggering entries.
Stop Loss (SL): Fixed pips, ATR-based, or swing low/high.
Take Profit (TP): Fixed reward, trailing stop, or dynamic levels.
RRR Target: e.g., 1:1.5 or 1:2.
My Strategy fo CashNot sure how it works but works excellent on NQ Futures on a 9 minute chart. Im still trying to automate. No experience there. Todays its 5/20/25 and the profit was 5k with only using 1 contract at a time. drawdown was 1500 or .1%. If you have any thoughts on automating please let me know. ill start researching t now, because with back testing it was profitable for the last 3 years. Thanks!
Smart Trading System v3This strategy is a precision-based trend-following system that leverages multi-timeframe alignment and momentum signals. Entry decisions are made using a blend of moving average pullbacks and oscillator crossovers, triggered only during active trading hours. Exits are governed by trailing volatility thresholds or key indicator reversals, adapting intelligently to the instrument’s behavior while managing risk through position sizing and drawdown constraints.
Dual Timeframe DMI + StochRSI StrategyThis strategy works on the principle that there's a higher probability of accuracy if the LTF follows the HTF trend.
The HTF DMI plus Stochastic RSI cross will trigger a reaction on the LTF.
There's a quick 2:1 scalp on the 2m timeframe.
Livermore-Seykota Breakout StrategyStrategy Name: Livermore-Seykota Breakout Strategy
Objective: Execute breakout trades inspired by Jesse Livermore, filtered by trend confirmation (Ed Seykota) and risk-managed with ATR (Paul Tudor Jones style).
Entry Conditions:
Long Entry:
Close price breaks above recent pivot high.
Price is above main EMA (EMA50).
EMA20 > EMA200 (uptrend confirmation).
Current volume > 20-period SMA (volume confirmation).
Short Entry:
Close price breaks below recent pivot low.
Price is below main EMA (EMA50).
EMA20 < EMA200 (downtrend confirmation).
Current volume > 20-period SMA.
Exit Conditions:
Stop-loss: ATR × 3 from entry price.
Trailing stop: activated with offset of ATR × 2.
Strengths:
Trend-aligned entries with volume breakout confirmation.
Dynamic ATR-based risk management.
Inspired by principles of three legendary traders.
Ichimoku Cloud Breakout Only LongThis is a very simple trading strategy based exclusively on the Ichimoku Cloud. There are no additional indicators or complex rules involved. The key condition is that we only open long positions when the price is clearly above the cloud — indicating a bullish trend.
For optimal results, the recommended timeframes are 1D (daily) or 1W (weekly) charts. These higher timeframes help filter out market noise and provide more reliable trend signals.
We do not short the market under any circumstances. The focus is purely on riding upward momentum when the price breaks out or stays above the cloud.
This strategy works best when applied to growth stocks with strong upward trends and good fundamentals — such as Google (GOOGL), Tesla (TSLA), Apple (AAPL), or NVIDIA (NVDA).
SMA + Range Breakout StrategySimple Moving Average with Range Breakout with RSI confirmation having Trailing Stop Loss
Trailing Stop-Loss
RSI Confirmation Filter
Breakout Alerts
BankNifty 9:15 Breakout - Fixed Qty 30. 🎯 Strategy Objective
To trade the Bank Nifty Futures based on the breakout of the 9:15 AM candle (15-min) using a fixed quantity of 30 lots, with intraday reversal and exit logic.
Liquidity Grab Strategy (Volume Trap)🧠 Strategy Logic:
Liquidity Grab Detection:
The script looks for a sharp drop in price (bearish engulfing or breakdown candle).
However, volume remains flat (within 5% of the 20-period moving average), suggesting the move is manipulated, not genuine.
Fair Value Gap Confirmation (FVG):
It confirms that a Fair Value Gap exists — a gap between recent candle bodies that price is likely to retrace into.
This gap represents a high-probability entry zone.
Trade Setup:
A limit BUY order is placed at the base of the FVG.
Stop Loss (SL) is placed below the gap.
Take Profit (TP) is placed at the most recent swing high.
📈 How to Use It:
Add the strategy to your TradingView chart (1–5 min or 15 min works well for intraday setups).
Look for green BUY labels and plotted lines:
💚 Green = Entry price
🔴 Red = Stop loss
🔵 Blue = Take profit
The script will automatically simulate entries when conditions are met and exit either at TP or SL.
Use TradingView’s Strategy Tester to review:
Win rate
Net profit
Risk-adjusted performance
RSI + MACD Cross StrategyRSI + MACD Cross Strategy (No Trailing SL)
When your trade goes into profit, the best thing to do is to move your Stop Loss to a logical point behind the most recent swing low or swing high, depending on whether you're in a Buy or Sell position. This way, if the market reverses, you’ll at least secure the profit you had up to that point.
Gold Breakout Strategy - RR 4Strategy Name: Gold Breakout Strategy - RR 4
🧠 Main Objective
This strategy aims to capitalize on breakouts from the Donchian Channel on Gold (XAU/USD) by filtering trades with:
Volume confirmation,
A custom momentum indicator (LWTI - Linear Weighted Trend Index),
And a specific trading session (8 PM to 8 AM Quebec time — GMT-5).
It takes only one trade per day, either a buy or a sell, using a fixed stop-loss at the wick of the breakout candle and a 4:1 reward-to-risk (RR) ratio.
📊 Indicators Used
Donchian Channel
Length: 96
Detects breakouts of recent highs or lows.
Volume
Simple Moving Average (SMA) over 30 bars.
A breakout is only valid if the current volume is above the SMA.
LWTI (Linear Weighted Trend Index)
Measures momentum using price differences over 25 bars, smoothed over 5.
Used to confirm trend direction:
Buy when LWTI > its smoothed version (uptrend).
Sell when LWTI < its smoothed version (downtrend).
⏰ Time Filter
The strategy only allows entries between 8 PM and 8 AM (GMT-5 / Quebec time).
A timestamp-based filter ensures the system recognizes the correct trading session even across midnight.
📌 Entry Conditions
🟢 Buy (Long)
Price breaks above the previous Donchian Channel high.
The current channel high is higher than the previous one.
Volume is above its moving average.
LWTI confirms an uptrend.
The time is within the trading session (20:00 to 08:00).
No trade has been taken yet today.
🔴 Sell (Short)
Price breaks below the previous Donchian Channel low.
The current channel low is lower than the previous one.
Volume is above its moving average.
LWTI confirms a downtrend.
The time is within the trading session.
No trade has been taken yet today.
💸 Trade Management
Stop-Loss (SL):
For long entries: placed below the wick low of the breakout candle.
For short entries: placed above the wick high of the breakout candle.
Take-Profit (TP):
Set at a fixed 4:1 reward-to-risk ratio.
Calculated as 4x the distance between the entry price and stop-loss.
No trailing stop, no break-even, no scaling in/out.
🎨 Visuals
Green triangle appears below the candle on a buy signal.
Red triangle appears above the candle on a sell signal.
Donchian Channel lines are plotted on the chart.
The strategy is designed for the 5-minute timeframe.
🔄 One Trade Per Day Rule
Once a trade is taken (buy or sell), no more trades will be executed for the rest of the day. This prevents overtrading and limits exposure.
Trend Revisit Pullback Strategy (Final Working Box)📈 Trend Revisit Pullback Strategy
This TradingView Pine Script strategy identifies strong trend breakouts and accounts for natural pullbacks by:
Entering long or short on strong 1-bar breakouts
Allowing for pullback averaging if price retraces after entry
Expecting a revisit to the original entry price within 15 bars
Automatically exiting at break-even or using a custom TP/SL
Drawing a visual trade zone (entry → SL → revisit window) for easy reference
Optional labels and color-coded boxes to track each trade’s lifecycle
Ideal for trend traders who anticipate a pullback and prefer to manage risk with break-even exits or reward-to-risk parameters.
My strategy"SCALPERS MOVE
"Printes the scalp before the scalp.Blue arrow up(bullish).Red arrow down (bearish)
EMA + cRSI + Multi-TF FilterDescription:
This strategy uses a combination of EMA (Exponential Moving Average) trend confirmation logic with visual trade markers to aid manual trading decisions. It compares the EMA(10), EMA(20), and EMA(59) values to determine trend direction and only enters a new position if no other position is currently open.
A LONG entry is signaled when EMA(10) and EMA(20) are both above EMA(59) and rising.
A SHORT entry is signaled when EMA(10) and EMA(20) are both below EMA(59) and falling.
Positions are marked with "LONG" or "SHORT" labels on the chart at the time of entry.
"EXIT" is displayed when the current trade is closed.
Trades are closed based on a predefined maximum loss value (maxLoss).
Only one trade can be active at a time, preventing overlapping positions.
This script is built for manual confirmation and enhanced visual clarity, making it ideal for discretionary traders looking to follow structured entry/exit rules.
Koin AlgoThis strategy looks at previous daily high and low to see if there is a closure above or below and will take a trade according to that. You input the max risk you want to take per trade and it goes for a 1:1 RR each time.
MPA AI v4 Adaptive Volatility-Based Trend Strategy# 🔍 MPA AI v4 – Adaptive Volatility-Based Trend Strategy
> Invite-Only | Designed for 15m Crypto Perpetuals | Dynamic TP/SL | Real-Time Market Structure Engine
---
## 📘 What Is MPA AI v4?
**MPA AI v4** is an advanced invite-only strategy specifically designed for trading crypto perpetual futures on 15-minute charts. It intelligently adapts to market conditions in real-time using a blend of volatility measurements, structural logic, and multi-layered trend confirmation.
Unlike conventional static systems, MPA AI v dynamically reconfigures all its core parameters—including EMAs, ADX thresholds, SL/TP levels, and Fibonacci extensions—based on the current volatility regime. It is built for intraday traders who seek precision, control, and intelligent trade automation.
---
## ⚙️ Core Mechanics and Logic
MPA AI v4 is composed of several synchronized modules:
| Module | Role |
| ------------------- | ---------------------------------------------------------- |
| EMA Short/Long | Dynamically determines trend direction and momentum |
| EMA Slope | Filters out weak or sideways markets |
| ADX (dynamic) | Confirms valid directional strength |
| Volatility Ratio | Drives regime switching for all key parameters |
| ATR + Fib Extension | Dual logic for conservative TP placement |
| Time-Based Exit | Ensures all trades close within 24 hours to limit exposure |
All modules respond to volatility conditions in real time, dynamically adjusting their thresholds, behavior, and interactions with one another on a per-candle basis. This ensures the strategy is not just adaptive in name, but functionally reactive to live market shifts—modifying entries, exits, risk profiles, and even filtering sensitivity as the volatility regime changes.
---
## 📊 Volatility Engine: Market Regime Classifier
The strategy classifies market volatility using the formula:
```pine
volatility = ta.atr(14) / ta.sma(ta.atr(14), 40)
```
This creates a dynamic ratio that segments market states into three regimes:
| Regime | Ratio Range | System Behavior |
| ---------- | ----------- | ---------------------------------------------------------------------- |
| High Vol | > 1.5 | Fast EMAs (5/20), wider SL (2.5%), aggressive Fib level (0.5), RR bias |
| Normal Vol | 0.8 - 1.5 | Balanced config (7/24 EMAs, SL \~2.0%, Fib level \~0.4) |
| Low Vol | < 0.8 | Slow EMAs (10/30), tighter SL, conservative TP via Fib (0.3) |
Each regime causes the system to adjust a wide array of parameters including risk thresholds, EMA lengths, ADX sensitivity, and even Fibonacci projection logic. In high volatility, the system prioritizes speed and broader stops, whereas in low volatility, it shifts to tighter risk controls and more conservative entry conditions. This ensures each trade setup is finely tuned to the prevailing market environment, minimizing false signals and optimizing profitability potential across regimes.
---
## 📊 Multi-Stage Trend Validation
Before entering a position, the strategy verifies three simultaneous conditions to ensure high-probability setups and avoid entries during noisy or uncertain price action:
### 1. EMA Alignment
* Price must cross above (or below) a volatility-adjusted short EMA
* Price must remain above (for long) or below (for short) the long EMA
* This ensures that both short-term and medium-term directional bias support the potential trade
### 2. EMA Slope
* Measured slope of the short EMA must exceed a minimum dynamic threshold that adjusts with volatility
* This condition removes false setups in sideways markets and prioritizes trades in trending phases
* The slope threshold itself is scaled relative to price movement and volatility level, making it flexible across market conditions
### 3. ADX Confirmation
* The ADX must be above a dynamic floor (ranging from 22 in low-volatility regimes to 55 in high-volatility)
* This confirms that the trend has sufficient directional energy to warrant an entry
* ADX filtering reduces the chance of entering during choppy, low-momentum phases
Only if **all three filters** are satisfied within the same candle context does the strategy allow a position to be opened. This conservative entry gating significantly reduces overtrading and increases signal reliability.
---
## 🌟 Entry and Exit Logic
| Signal Type | Conditions |
| ----------- | ----------------------------------------------------------- |
| Long | Price > EMA short & long, EMA slope > threshold, ADX valid |
| Short | Price < EMA short & long, EMA slope < -threshold, ADX valid |
These entry signals are only triggered when all conditions are met simultaneously within the same candle context, ensuring trend alignment, directional bias, and strength confirmation are all present. This reduces the chance of entering on noise, fakeouts, or uncertain reversals. By requiring confirmation from price position, EMA angle, and trend strength (ADX), MPA AI v4 filters out low-conviction setups and ensures strategic capital deployment.
### TP Calculation:
* Computes **Fibonacci-based extension** from recent HH/LL range, reflecting structure-based potential
* Calculates **ATR-based projection** using live volatility to estimate expansion capacity
* Selects the more conservative value between the two to avoid overextending profit targets
* This dual-confirmation approach helps maintain a favorable reward/risk profile while avoiding unrealistic expectations
### SL Calculation:
* SL is determined as a volatility-adjusted percentage of entry price (ranging from 2.0% to 2.5%)
* The SL adapts in real-time based on the prevailing volatility regime to maintain proportional risk control
* This dynamic approach reduces overexposure during unpredictable phases
### 24-Hour Exit:
* Any trade left open for more than 24 hours is forcibly closed to avoid indefinite exposure
* A timeout label is plotted on the chart to show that a duration-based exit was executed
* This mechanism acts as a safety net against stagnating trades and unexpected market drift
---
## 📊 Visual Feedback on Chart
| Element | Purpose |
| ------------- | -------------------------------------------------- |
| EMA Lines | Visual trend confirmation (dynamic) |
| TP/SL Labels | Shows price and percent values in real time |
| RR Label | Displays calculated Risk/Reward ratio |
| Info Box | Shows all TP/SL/RR info when a position is active |
| Timeout Label | Indicates when a position closed due to 24h expiry |
---
## 🔮 Recommended Backtest Settings
| Parameter | Value | Rationale |
| --------------- | ----------- | ----------------------------------------- |
| Initial Capital | 100,000 | Reasonable for retail testing |
| Commission | 0.04% | Reflects Binance taker fee |
| Slippage | 2 ticks | Models realistic trade latency |
| Order Size | 100% equity | Full exposure trade per signal |
| Pyramiding | 1 | Prevents overlapping entries |
| Timeframe | 15m | Balances speed and statistical relevance |
| Sample Size | 100+ trades | Meets TradingView's statistical standards |
---
## 🔒 Invite-Only Justification
MPA AI v4 incorporates:
* A real-time volatility modeling engine
* Adaptive EMA/ADX/Fib/ATR interaction
* Smart TP/SL pairing using multi-method projections
* Market structure targeting without repainting
* Controlled time-exposure logic with visual transparency
Unlike typical scripts that simply combine a few public indicators, this strategy constructs a responsive, modular system that recalibrates every major decision dynamically based on changing volatility. Each component—including entries, filters, and exits—communicates and adapts in real time, producing a system that behaves more like a trading engine than a fixed-rule indicator.
Furthermore, its dual TP projection system (Fibonacci + ATR) with volatility-governed decision logic adds sophistication that cannot be achieved by combining open-source tools. The structure-aware, time-limited exits paired with RR-labeled info overlays create a tool that is as visual and instructional as it is operational.
These combined features create an edge that cannot be reproduced via indicator mashups or templates.
Therefore, the Invite-Only model is appropriate and justified under TradingView’s Vendor rules.
---
## ✅ House Rules Compliance Summary
| Criterion | Compliant | Notes |
| --------------------------- | --------- | ----------------------------------------------------- |
| English Description | ✅ Yes | Full technical documentation included |
| No External References | ✅ Yes | All logic explained inside script |
| Realistic Backtest Settings | ✅ Yes | Proper capital, fees, slippage modeled |
| No Misleading Claims | ✅ Yes | No unrealistic returns or guarantees |
| Clear Visual Output | ✅ Yes | RR/TP/SL/Timeout visuals shown during trades |
| Original, Valuable Strategy | ✅ Yes | Multi-layer adaptive engine not replicable via mashup |
---
8/21 EMA Crossover + VWAP + 200 EMA8/21 EMA crossover with VWAP and slow moving average confirmation
SY_Quant_AI_StrategyDescription:
This is a trend-following quantitative trading strategy that combines Supertrend, multiple EMAs, and MACD indicators to identify optimal entry and exit points. It uses the 88-period SMA as a major trend filter and a 15-period EMA as a noise filter to reduce false signals. Entry signals are generated when price and trend indicators align for bullish or bearish momentum.
Stop-loss is dynamically set using Supertrend, and trailing stop-loss protects profits. MACD signal crosses provide additional take-profit alerts. The strategy supports configurable parameters for MACD cycles, trailing stops, and position sizing, allowing users to tailor risk and performance.
Suitable for swing trading on mid to long-term timeframes across various markets including crypto, stocks, and futures. Designed to reduce noise and capture medium-term trends effectively while managing risk within sustainable levels.
Phoenix AI StrategyUsing Phoenix AI Strategy allows you to fine tune the setting for the Phoenix AI indicator. You can change the settings to see what the outcome would be over a trading range.
You can gage:
Total P&L
Max Equity Drawdown
Total Number of Trades
Profitable Trades
Profit Factor
The Phoenix AI Strategy is a complex trading algorithm that combines multiple technical indicators and adaptive elements to generate buy and sell signals. At its core, the strategy uses a combination of volatility, trend, and momentum indicators to identify potential trading opportunities.
The strategy starts by calculating the current volatility of the market using the Average True Range (ATR) indicator. This value is then compared to the historical volatility to determine the volatility ratio. The volatility ratio is used to adjust the dynamic RSI parameters, which are used to identify overbought and oversold conditions in the market.
The strategy also uses a moving average channel to identify the trend direction and potential support and resistance levels. The channel is calculated using the Exponential Moving Average (EMA) of the high and low prices over a specified period.
In addition to the moving average channel, the strategy uses the Ichimoku cloud to gauge the trend strength and potential reversals. The Ichimoku cloud is a comprehensive trend trading system that uses multiple indicators to identify the trend direction and potential support and resistance levels.
The strategy also incorporates a neural network algorithm to generate buy and sell signals. The neural network uses a combination of momentum, trend, and volatility indicators to generate a signal. The signal is then compared to a dynamic threshold to determine whether a trade should be taken.
The dynamic threshold is calculated based on the volatility of the market and the adaptive strength of the indicator. The adaptive strength is a parameter that determines how responsive the indicator is to changes in the market. A higher adaptive strength means that the indicator will be more responsive to changes in the market, while a lower adaptive strength means that the indicator will be less responsive.
The strategy also includes a number of other features, such as a market condition filter and a trading logic system. The market condition filter is used to determine whether the market is stable or volatile, and the trading logic system is used to generate buy and sell signals based on the indicator's calculations.
Overall, the Phoenix AI Strategy is a sophisticated trading algorithm that combines multiple technical indicators and adaptive elements to generate buy and sell signals. Its combination of volatility, trend, and momentum indicators makes it a versatile and effective tool for traders of all levels.
Each part of the strategy ties into other parts to create a comprehensive trading system. The volatility ratio is used to adjust the dynamic RSI parameters, which are then used to identify overbought and oversold conditions in the market. The moving average channel is used to identify the trend direction and potential support and resistance levels, while the Ichimoku cloud is used to gauge the trend strength and potential reversals.
The neural network algorithm uses a combination of momentum, trend, and volatility indicators to generate a signal, which is then compared to a dynamic threshold to determine whether a trade should be taken. The dynamic threshold is calculated based on the volatility of the market and the adaptive strength of the indicator, making it a key component of the strategy's risk management system.
The logic behind the strategy is to use a combination of technical indicators and adaptive algorithms to generate buy and sell signals. The strategy is designed to be flexible and adaptable to different market conditions, and can be customized using a number of input parameters. The strategy's calculations are based on a combination of technical indicators and market data, and are designed to provide a comprehensive view of the market.
Each indicator used in the strategy is doing a specific job. The ATR indicator is used to calculate the volatility of the market, while the RSI indicator is used to identify overbought and oversold conditions. The moving average channel is used to identify the trend direction and potential support and resistance levels, while the Ichimoku cloud is used to gauge the trend strength and potential reversals. The neural network algorithm is used to generate buy and sell signals based on a combination of momentum, trend, and volatility indicators.
Overall, the Phoenix AI Strategy is a powerful and flexible trading tool that can be used to generate buy and sell signals in a variety of markets. Its combination of technical indicators and adaptive algorithms makes it a versatile and effective tool for traders of all levels.
Cyber Strategy V1Сyber Strategy V1 – Indicator Testing & Strategy Execution Framework
✅ Overview
Cyber Strategy V1 is a closed-source strategy framework engineered to turn any of yours external indicator into a systematic, rule-based trading system. Designed for rigorous testing and live deployment, it combines multi-signal inputs, confirmations and automated execution paths to help traders and developers validate signal quality and manage risk with precision.
✅ Core Functionality
Multi-Source Independent Signal Inputs
Reversal Logic
Take Profit: up to 5 staggered TP levels, specified as percentage
Stop Loss: configurable via fixed percentage or dynamic SL that trails a reverse signals.
✅ Statistical Drawdown Analysis
For all profitable trades, tracks the maximum intratrade drawdown.
Computes percentile levels of profitable trades that hits minimum drawdowns to inform:
Entry buffer zones (e.g. avoid entering during transient noise)
Partial entry scaling prices.
✅ Signal Confirmation
Optional confirmation delays: hold entry until other signal section send a confirmation from another indicator.
✅ Automated Execution Integrations
Cornix Text Alerts: Generates pre-formatted alerts compatible with Cornix for semi-automated or bot trading.
Webhook Support: Emits JSON payloads on order-fill events to any endpoint, enabling full automation through third-party services or custom order-routing systems.
Important Notes
⚠️ THIS STRATEGY DOES NOT INCLUDE INDICATORS. Examples shown on screenshots use third-party tools. NO PROPRIETARY INDICATORS INCLUDED: Cyber Strategy V1 relies entirely on external signal inputs.
⚠️ All backtesting parameters are customizable; thorough backtesting under realistic slippage, fees and spread assumptions is essential before live deployment.
rsi indicatorRSIBB Strategy Based on Oversold, Overrbuy Bolinger Band Band. In US 30. Time Indicators is set and the timing is in 5 minutes
An example of Long. When the green marker appears, our entry point is High High If the price fails to reject our High High, our entry will change to the next candlestick. This process will continue until we enter the position.
A marker appears in purple when the green marker appears to us, in which information appears:
The first digit related to the strategist code
The second digit is that we have a few pips to be sure of the candlestick of our entry point
The third digit is our SL that is a coefficient of overall size of yogurt (HIGH - LOW)
Charmin is the digit of our tp that is a coefficient of overall size of yogurt (HIGH - LOW)
In 6 sets