Clarity Strategy: UT Bot + HMA + JCFBV (v6 fixed)The Clarity Strategy filters UT Bot signals with trend, volatility, and candle strength for high-accuracy entries, using dynamic or fixed TP/SL.
Jalur dan Saluran
G-Channel Strategy - Strategy with EMA FilterG-Channel Strategy with an 200 EMA, full credit of this strategy goes to Income |Nomad on youtube. the video shows you how to create the strategy.
This strategy is best used on lower timer frames, the 1 min, 3 min or 5 min time frame.
Dont trade this strategy in a ranging market, it doesnt work well.
SmartScale Envelope DCA This is a Dollar-Cost Averaging (DCA) long strategy that buys when price dips below a moving average envelope and adds to the position in a stepwise, risk-controlled way. It uses up to 8 buy-ins, applies a cooldown between entries, and exits based on either a take profit from average entry price or a stop loss. Backtest range limits trades to the last 365 days for backtest control.
All input settings can and should be adjusted to the chart, as volatility in price action varies. Simply go into the inputs settings, and start from the top and move down to get better backtest results. Moving from the top down has been proven to give the best results. Then, move to properties and set your order size, pyramiding, and so on. It may be necessary to then fine tune your adjustments a second time to dial it in.
Works well on 1 hour time frames and in volatility.
Happy Trading!
JBGBt - Bollinger Bands Strategy v4This is an enhanced Bollinger Band Strategy that works on the 1 day or 12 hour timeframe on the Blue Chip Cryptos like BTC , ETH, and SOL both Spot and Perpetual I have added RSI filters, and ADX and ATR to dynamically trim and augment your wins and losses. This even works with starting on a small account of $250 which delivered 2500% P&L with only 11.3 percent drawdown Im sure there is lot of room for tweaking.
Also, I wanted to give a nod, and thank you for Michael of Signum /Dapp R for the inspiration to develop with AI, and turn boring indicators into Strategies, and Stategy into $$
Bollinger + EMA Strategy with Statssharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")
RSI EMA Candle Size Strategy//@version=5
strategy("RSI EMA Candle Size Strategy", overlay=true)
// Indikator teknikal
emaFast = ta.ema(close, 10)
emaSlow = ta.ema(close, 50)
rsiValue = ta.rsi(close, 14)
candleSize = math.abs(close - open)
// Kondisi Buy
buyCondition = rsiValue < 51 and emaFast < emaSlow and candleSize < 0.00025
if buyCondition
strategy.entry("BUY", strategy.long)
alert("BUY", alert.freq_once_per_bar_close)
// Kondisi Sell
sellCondition = rsiValue > 49 and emaFast > emaSlow and candleSize < 0.00025
if sellCondition
strategy.entry("SELL", strategy.short)
alert("SELL", alert.freq_once_per_bar_close)
// Plot
plot(emaFast, title="EMA 10", color=color.orange)
plot(emaSlow, title="EMA 50", color=color.blue)
Breakout Trend Follower with MACD v2This is a breakout trend following strategy that uses MACD and ADX to help optimize. I like to use this against SOL on the 1D chart It is yield about 2200% profit from the inital start date on Coinbase Would love feedback
Intraday NQ - MACD + VWAP + TPO (Short Only from 2025)This intraday Nasdaq futures (NQ) strategy trades based on MACD momentum, VWAP alignment, and TPO breakout simulation. ATR determines dynamic risk and reward. Use the toggles to test long, short, or both strategies from January 1, 2025 onward.
Bollinger + EMA Strategy with Statsif show_stats and bar_index == ta.highest(bar_index, 50)
winrate = strategy.closedtrades > 0 ? (strategy.wintrades / strategy.closedtrades) * 100 : na
label_text = "Net Profit: " + str.tostring(strategy.netprofit, "#.##") + " " +
"Max DD: " + str.tostring(max_dd * 100, "#.##") + "% " +
"Win Rate: " + str.tostring(winrate, "#.##") + "% " +
"Trades: " + str.tostring(strategy.closedtrades)
label.new(x=bar_index, y=high, text=label_text,
style=label.style_label_right, color=color.gray, textcolor=color.white)
Bollinger + EMA Strategy with StatsThis strategy is a mean-reversion trading model that combines Bollinger Band deviation entries with EMA-based exits. It enters a long position when the price drops significantly below the lower Bollinger Band by a user-defined multiple of standard deviation (x), and a short position when the price exceeds the upper band by the same logic. To manage risk, it uses a wider Bollinger Band threshold (y standard deviations) as a stop loss, while take profit occurs when the price reverts to the n-period EMA, indicating mean reversion. The strategy maintains only one active position at a time—either long or short—and allocates a fixed percentage of capital per trade. Performance metrics such as equity curve, drawdown, win rate, and total trades are tracked and displayed for backtesting evaluation.
Japanese Candles PremiumConfiguration Inputs:
Enable/Disable BUY
Enable/Disable SELL
Enable/Disable Take Profit / Stop Loss
Choose Take Profit / Stop Loss %
Trading Logic:
For each signal, simulate entry (and exit with TP/SL)
Count winning/losing trades
Display Profit Factor, Total Trades, etc.
Enhanced Alerts:
Only if specific conditions are met as configured.
Results Panel:
You will see a small panel with automatic statistics.
Scalping Strategy with Fixed CooldownThis is a sample scalping strategy is designed for short-term trading on lower timeframes.
Entry Signals: Utilizes Hull Moving Average (HullMA) crossovers to generate buy and sell signals.
Filters:
-Bollinger Bands and RSI to avoid overbought or oversold conditions.
-VWAP to confirm trend direction, ensuring trades align with momentum.
Cooldown Mechanism: Implements a bar-based cooldown period to prevent immediate re-entries after trade closures, reducing the risk of overtrading.
Gaussian Channel StrategyGaussian Channel Strategy — User Guide
1. Concept
This strategy builds trades around the Gaussian Channel. Based on Pine Script v4 indicator originally published by Donovan Wall. With rework to v6 Pine Script and adding entry and exit functions.
The channel consists of three dynamic lines:
Line Formula Purpose
Filter (middle) N-pole Gaussian filter applied to price Market "equilibrium"
High Band Filter + (Filtered TR × mult) Dynamic upper envelope
Low Band Filter − (Filtered TR × mult) Dynamic lower envelope
A position is opened when price crosses a user-selected line in a user-selected direction.
When the smoothed True Range (Filtered TR) becomes negative, the raw bands can flip (High drops below Low).
The strategy automatically reorders them so the upper band is always above the lower band.
Visual colors still flip, but signals stay correct.
2. Entry Logic
Choose a signal line for longs and/or shorts: Filter, Upper band, or Lower band.
Choose a cross direction (Cross Up or Cross Down).
A signal remains valid for Lookback bars after the actual cross, as long as price is still on the required side of the line.
When the opposite signal appears, the current position is closed or reversed depending on Reverse on opposite.
3. Parameters
Group Setting Meaning
Source & Filter Source Price series used (close, hlc3, etc.)
Poles (N) Number of Gaussian filter poles (1-9). More poles ⇒ smoother but laggier
Sampling Period Main period length of the channel
Filtered TR Multiplier Width of the bands in fractions of smoothed True Range
Reduced Lag Mode Adds a lag-compensation term (faster but noisier)
Fast Response Mode Blends 1-pole & N-pole outputs for quicker turns
Signals Long → signal line / Short → signal line Which line generates signals
Long when price / Short when price Direction of the cross
Lookback bars for late entry Bars after the cross that still allow an entry
Trading Enable LONG/SHORT-side trades Turn each side on/off
On opposite signal: reverse True: reverse -- False: flat
Misc Start trading date Ignores signals before this timestamp (back-test focus)
4. Quick Start
Add the strategy to a chart. Default: hlc3, N = 4, Period = 144.
Select your signal lines & directions.
Example: trend trading – Long: Filter + Cross Up, Short: Filter + Cross Down.
Disable either side if you want long-only or short-only.
Tune Lookback (e.g. 3) to catch gaps and strong impulses.
Run Strategy Tester, optimise period / multiplier / stops (add strategy.exit blocks if needed).
When satisfied, connect alerts via TradingView webhooks or use the builtin broker panel.
5. Notes
Commission & slippage are not preset – adjust them in Properties → Commission & Slippage.
Works on any market and timeframe, but you should retune Sampling Period and Multiplier for each symbol.
No stop-loss / take-profit is included by default – feel free to add with strategy.exit.
Start trading date lets you back-test only recent history (e.g. last two years).
6. Disclaimer
This script is for educational purposes only and does not constitute investment advice.
Use entirely at your own risk. Back-test thoroughly and apply sound risk management before trading real capital.
Ultimate SuperTrend ProThe ultimate script works correctly while maintaining all the original features:
Customizable Inputs:
Separate input groups for SuperTrend, visualization, profit booking, and risk management
Adjustable ATR length and multiplier
Cloud opacity control
ATR-Based Cloud Visualization:
Bullish trend shows green cloud between upper band and upper band - 0.5 ATR
Bearish trend shows red cloud between lower band and lower band + 0.5 ATR
Adjustable opacity for better chart visibility
Profit Booking System:
Calculates profit booking levels based on ATR multiplier
Visual markers (circles) show where to take profits
Arrows appear when price hits profit booking level
Fully customizable color and ratio
Enhanced Risk Management:
ATR-based stop loss system
Visual indication of stop levels in the info table
Option to disable stop loss if desired
Improved Visual Feedback:
Cleaner signal markers
Comprehensive info table showing current status
Distance to profit booking level displayed
Strategy Integration:
Automatically exits positions at profit booking levels
Stop loss protection
Clear alert conditions
Yüzde 5 Kar ve Yüzde 2 Zarar Stop Stratejisi15 dk grafikte rsi,hacim,bollinger bantları kullanarak strateji oluşturur.
Yüzde 5 Kar ve Yüzde 2 Zarar Stop Stratejisi15 dk grafikde rsi,bollinger bantları,fiyat,hacim kullanarak işlem yapmak için kullanılabilir.
⚡ High-Frequency Pro Strategy | Enhanced Filtersfind the supply ondemand for Gold and the best areat to import
Gold Bollinger Bands Strategy [1H]Bollinger Bands in TradingView. This strategy enters:
Long when the price closes below the lower Bollinger Band (suggesting oversold).
Short when the price closes above the upper Bollinger Band (suggesting overbought).
It exits when the price returns to the middle band.
Trend Breakout Strategy with Separated Alertshz, nado denygi zarabatuvaty, onoto i xoposho i ploxo sho tak trudno, no po drugomy nikak
Support & Resistance Breakout StrategyThis Support & Resistance Breakout Strategy automatically identifies key price levels using pivot highs and lows over a configurable lookback period. It plots support (green) and resistance (red) lines directly on the chart and removes them dynamically when the price breaks through. The script also provides optional labeling for easier visual reference. It’s designed to help traders spot potential breakout opportunities and key decision zones.
Supertrend Hombrok BotSupertrend Hombrok Bot – Automated Trading Strategy for Dynamic Market Conditions
This trading strategy script has been developed to operate automatically based on detailed market conditions. It combines the popular Supertrend indicator, RSI (Relative Strength Index), Volume, and ATR (Average True Range) to determine the best entry and exit points while maintaining proper risk management.
Key Features:
Supertrend as the Base: Uses the Supertrend indicator to identify the market's trend direction, generating buy signals when the market is in an uptrend and sell signals when in a downtrend.
RSI Filter: The RSI is used to determine overbought and oversold conditions, helping to avoid entries in extreme market conditions. Entries are avoided when RSI > 70 (overbought) and RSI < 30 (oversold), reducing the risk of false movements.
Volume Filter: The strategy checks if the trading volume is above the average multiplied by a user-defined factor. This ensures that only significant movements, with higher liquidity, are considered.
Candle Body Size: The strategy filters only candles with a body large enough relative to the ATR (Average True Range), ensuring that the price movements on the chart have sufficient strength.
Risk Management: The bot is configured to operate with an adjustable Risk/Reward Ratio (R:R). This means that for each trade, both Take Profit (TP) and Stop Loss (SL) are adjusted based on the market's volatility as measured by the ATR.
Automatic Entries and Exits: The script automatically executes entries based on the specified conditions and exits with predefined Stop Loss and Take Profit levels, ensuring risk is controlled for each trade.
How It Works:
Buy Condition: Triggered when the market is in an uptrend (Supertrend), the volume is above the adjusted average, the candle body is strong enough, and the RSI is below the overbought level.
Sell Condition: Triggered when the market is in a downtrend (Supertrend), the volume is above the adjusted average, the candle body is strong enough, and the RSI is above the oversold level.
Alerts:
Buy and Sell Alerts are configured with detailed information, including Stop Loss and Take Profit values, allowing the user to receive notifications when trading conditions are met.
Capital Management:
The capital per trade can be adjusted based on account size and risk profile.
Important Note:
Always test before trading with real capital: While the strategy has been designed based on solid technical analysis methods, always perform tests in real-time market conditions with demo accounts before applying the bot in live trading.
Disclaimer: This script is a tool to assist in the trading process and does not guarantee profit. Past performance is not indicative of future results, and the trader is always responsible for their investment decisions.
Vinicius Setup ATR
Description:
This script is a strategy based on the Supertrend indicator combined with volume analysis, candle strength, and RSI. Its goal is to identify potential entry points for buy and sell trades based on technical criteria, without promising profitability or guaranteed results.
Script Components:
Supertrend: Used as the main trend compass. When the trend is positive (direction = 1), buy signals are considered; when negative (direction = -1), sell signals are considered.
Volume: Entries are only validated if the volume is above the average of the last 20 candles, adjusted with a 1.2 multiplier.
Candle Body: The candle body must be larger than a certain percentage of the ATR, ensuring sufficient strength and volatility.
RSI: Used as a filter to avoid trades in extreme overbought or oversold zones.
Support and Resistance: Identified based on simple pivots (5 periods before and after).
Customizable Parameters:
ATR Length and Multiplier: Controls the sensitivity of the Supertrend.
RSI Period: Adjusts the relative strength filter.
Minimum Volume and Candle Body: Settings to validate entry signals.
Entry Conditions:
Buy: Positive trend + strong candle + high volume + RSI below 70.
Sell: Negative trend + strong candle + high volume + RSI above 30.
Exit Conditions:
The trade is closed upon the appearance of an opposite signal.
Notes:
This is a technical system with no profit guarantees.
It is recommended to test with realistic capital values and parameters suited to your risk management.
The script is not optimized for specific profitability, but rather to support study and the construction of setups with objective criteria.