1H NAS100USD StrategyThis is an experimental NAS100USD ( OANDA:NAS100USD ) strategy made with straightforward entering criteria.
It works best on the 1H Chart , but it can also provide good results on higher timeframes.
The risk-to-reward ratio is 1:20 , which means the win rate is not as high as other strategies, so I would recommend only risking 0.5% of the balance on your tests, especially if you're a funded trader with a 10% maximum drawdown.
Results from 2 years of backtesting on the 1H timeframe (2023-2024):
Number of Trades: 101
Return: +$115.39%
Win rate: 27.72%
Maximum Drawdown: 6.62%
*Results with a 0.5% risk per trade ($100,000 balance) and Pyramiding settings set to 2.
Feel free to deep backtest this and make further improvements.
Cheers!
אינדיקטורים ואסטרטגיות
Mapeamento Trade TurbinadoFerramenta designada para Operação de compra e venda no mercado de futuros e tradicional.
Faça o testado em diversas criptos.
BTC,GALA, ADA, AVAX, FET, entre outras.
Use o tempo gráfico:
40min
144min
611min
1dia
7dias
Para configurar basta - pressionar em configurações no indicador
Tamanho da Ordem 100 - % do capital
Recalcular -
Após a Ordem ser Executada
Em cada Tick
Dê OK
Mapeamento Trade TurbinadoFerramenta designada para Operação de compra e venda no mercado de futuros e tradicional.
Faça o testado em diversas criptos.
BTC,GALA, ADA, AVAX, FET, entre outras.
Use o tempo gráfico:
40min
144min
611min
1dia
7dias
Kingdom纏論策略(Kingdom chanlun strategy)七年交易經驗
清華碩畢
全球前十大公司S+工程師
西元2022年報酬64%
西元2023年報酬88%
西元2024年報酬121%
四個月體脂32.2% -> 16.8% 意志力
drive.google.com
雲端硬碟附上二年實盤IBKR盈透對帳單、經歷佐證(2024年報酬包含加密貨幣投資，績效報表難整合)
我是金恩，在學期間修習過會計學、經濟學、貨幣銀行學、投資學與財務管理...等金融專業，且精通微積分、統計學與程式設計等數理科目，
但依然到交易第四年才開始穩定獲利，西元2022年接觸中國傳奇股神(世人尊稱纏師) ─ 纏中說禪操盤術，
結合自身對市場/數學的理解，加以修改創新，製作出基於數學幾何/混沌分形的量化投資系統；
纏師臨終前無償分享畢生所學知識給全人類，並留下「知識本就屬於全人類」...等金句，
令我深受其影響及感動，因此本人也願意將開發的量化策略以纏師學派通稱命名，並傳播於後世。
對於一般個人投資者(散戶)來說，從無到有打造試圖超越大盤的交易系統是一條極為坎坷的道路，
需經歷無數次痛苦的虧損磨練，失眠在輾轉反側的夜，消耗許多時間精力於其中，
甚至花費大把金錢於市面上濫竽充數的投資課程/量化策略上，最後卻撲了空，
更惡劣的莫過於帶單老師/量化團隊虧損，翻臉不認人、惡人先告狀責備學生/客戶自身學藝不精/玻璃心碎，
(金恩本人也曾經因好奇心作祟，被某網紅團隊EXCEL畫的績效圖吸引，浪費1000 USDT購買三個月的實盤量化虧損策略)
針對此亂象，金恩特別設計一款符合朝九晚五的大眾上班族量化策略，績效由第三方平台Tradingview(世界第一大看盤網站)公證，
無未來函數與重繪，確保一定的報酬比例、超高勝率、回測歷史最長、操作頻率低、極小回檔幅度與多品種通用，
多品種操作/單品種槓桿能輕鬆打敗大盤，
2022年下跌熊市，朝七晚八的工作強度，金恩依然獲得64%的年報酬。
(純素人無腦按策略沒辦法如此高，但穩定高效的操作思路是同樣的)
盈利因子為整個交易期間的淨利除以虧損(gross Profit/ gross loss)，大於1的盈利因子表示盈利系統；2或更高的盈利因子是良好，而高於3的盈利因子被認為是優秀的
量化回測績效簡易描述如下：
美股標普ES1!回測24年勝率86%，盈利因子7.7
美股納茲達克NQ1!回測18年勝率91%，盈利因子13.7
美股羅素M2K1!回測4年勝率61%，盈利因子4.6
台股期指TXF1!回測11年勝率86%，盈利因子3.4
印度五十NIFTY1!回測22年勝率83%，盈利因子3.2
日股J225回測8年勝率84%，盈利因子2.8
港股恆生HSI1!回測36年勝率80%，盈利因子2.4
加密比特幣BTCUSD回測11年勝率82%，盈利因子3.6
加密以太幣ETHUSD回測8年勝率89%，盈利因子2.2
黃金GOLD回測66年勝率77%，盈利因子2.1
量化策略獲取方式請見雲端硬碟填寫GOOGLE表單，付款後一至二個工作日邀請使用，有問題可私訊Telegram ID：@thes80124
付款GOOGLE表單：https://docs.google.com/forms/d/e/1FAIpQLSePK9moDDRhxMdgdofP0K0OVY4mEU5iPQr6-i8ceiE0-fYJlg/viewform?usp=header
Kingdom纏論策略單月VIP使用權限160 USDT或台幣TWD 5000支付(每個月限額100位容量，避免策略失效及高手仿製)
Kingdom纏論策略一年VIP使用權限1600 USDT或台幣TWD 50000支付(總共限額1000位容量，避免策略失效及高手仿製)
Kingdom MACD輔助看盤指標永久使用權限50 USDT或台幣TWD 1500支付
EMA Crossover Strategy by QuantdexQuantdex EMA Crossover Strategy
The Quantdex EMA Crossover Strategy is a powerful trend-following system designed to identify high-probability trading opportunities. It utilizes three exponential moving averages (EMAs) to capture market momentum, confirm trends, and provide precise entry and exit points.
Key Components:
Short-Term EMA:
Reacts quickly to price movements, signaling potential trade entries based on momentum shifts.
Medium-Term EMA:
Filters out short-term market noise and helps validate intermediate trends.
Long-Term EMA:
Represents the overall market direction, serving as a critical trend filter and support/resistance indicator.
Strategy Rules:
Bullish Entry:
When the short-term EMA crosses above the medium-term EMA, and both are aligned above the long-term EMA.
Confirms strong upward momentum in a long-term uptrend.
Bearish Entry:
When the short-term EMA crosses below the medium-term EMA, and both are aligned below the long-term EMA.
Confirms strong downward momentum in a long-term downtrend.
Exit Rules:
Exit long positions when the short-term EMA crosses back below the medium-term EMA.
Exit short positions when the short-term EMA crosses back above the medium-term EMA.
Advantages:
Effectively identifies the dominant market trend using a multi-timeframe approach.
Minimizes false signals by requiring confirmation from all EMAs.
Adaptable for swing traders and position traders across various markets.
The Quantdex EMA Crossover Strategy combines simplicity with accuracy, making it a reliable tool for consistent and disciplined trading.
MCX Magic Candle 1.1 with Fibonacci Pivot Points and Day Filterprice action and fibbo level basd stratergy.excellent accuracy and pf.
Korkusuz V4.0 Precision Strategy (Invite-Only)Korkusuz V4.0 Precision Strategy is a closed-source, invite-only script designed for traders seeking precise and adaptive market entry and exit signals. Unlike simple mashups of indicators, this strategy combines RSI, MACD, and Bollinger Bands into a coherent framework tailored to diverse market conditions.
Key Components and Logic:
RSI (Relative Strength Index): Avoids entering trades in overbought/oversold zones by filtering out extreme price conditions.
MACD (Moving Average Convergence Divergence): Confirms trend direction and momentum to ensure alignment with the prevailing market trend.
Bollinger Bands: Adapts entry and exit thresholds to market volatility, making the strategy effective in both trending and ranging markets.
The strategy dynamically weighs each indicator's signal based on the current market state. For instance, a long position requires RSI to indicate no overbought conditions, MACD to confirm bullish momentum, and the price to break above a key Bollinger Band threshold. This synergy reduces noise and focuses on high-quality trade setups.
Backtesting Parameters:
Initial Capital: $10,000
Commission: 0.1% per trade
Slippage: 0.5%
Risk Management: The script is calibrated to risk no more than 2% of equity per trade, ensuring sustainable trading practices.
Trade Frequency: Backtested across a sufficiently large dataset, producing more than 100 trades in most cases. For symbols or timeframes with fewer trades, the strategy prioritizes signal quality over quantity.
These realistic assumptions ensure that backtest results are reliable and not misleading. However, past performance does not guarantee future results.
Chart Presentation:
The script is displayed on a clean chart to enhance readability and ensure users can easily identify signals. Any drawings or annotations included are explicitly intended to illustrate the strategy’s functionality.
Uniqueness and Value:
While using well-known indicators, this strategy distinguishes itself through its unique integration logic, filtering mechanisms, and dynamic adaptation to market conditions. It provides an edge to traders by combining these components in a way that minimizes false signals and maximizes opportunity.
Author’s Instructions:
To request access:
Send me a private message on TradingView with your username.
Briefly explain why you are interested in this strategy and how you plan to use it.
If approved, access will be granted. Without explicit approval, the script cannot be accessed
Mean Reversion Strategy//@version=5
strategy("Mean Reversion Strategy", overlay=true)
// User Inputs
length = input.int(20, title="SMA Length") // Moving Average length
stdDev = input.float(2.0, title="Standard Deviation Multiplier") // Bollinger Band deviation
rsiLength = input.int(14, title="RSI Length") // RSI calculation length
rsiOverbought = input.int(70, title="RSI Overbought Level") // RSI overbought threshold
rsiOversold = input.int(30, title="RSI Oversold Level") // RSI oversold threshold
// Bollinger Bands
sma = ta.sma(close, length) // Calculate the SMA
stdDevValue = ta.stdev(close, length) // Calculate Standard Deviation
upperBand = sma + stdDev * stdDevValue // Upper Bollinger Band
lowerBand = sma - stdDev * stdDevValue // Lower Bollinger Band
// RSI
rsi = ta.rsi(close, rsiLength) // Calculate RSI
// Plot Bollinger Bands
plot(sma, color=color.orange, title="SMA") // Plot SMA
plot(upperBand, color=color.red, title="Upper Bollinger Band") // Plot Upper Band
plot(lowerBand, color=color.green, title="Lower Bollinger Band") // Plot Lower Band
// Plot RSI Levels (Optional)
hline(rsiOverbought, "Overbought Level", color=color.red, linestyle=hline.style_dotted)
hline(rsiOversold, "Oversold Level", color=color.green, linestyle=hline.style_dotted)
// Buy and Sell Conditions
buyCondition = (close < lowerBand) and (rsi < rsiOversold) // Price below Lower Band and RSI Oversold
sellCondition = (close > upperBand) and (rsi > rsiOverbought) // Price above Upper Band and RSI Overbought
// Execute Strategy
if (buyCondition)
strategy.entry("Buy", strategy.long)
if (sellCondition)
strategy.entry("Sell", strategy.short)
// Optional: Plot Buy/Sell Signals
plotshape(series=buyCondition, location=location.belowbar, color=color.green, style=shape.labelup, title="Buy Signal")
plotshape(series=sellCondition, location=location.abovebar, color=color.red, style=shape.labeldown, title="Sell Signal")
Adaptive VWAP Bands with Garman Klass VolatilityThis strategy utilizes the volume weighted average price, adjusted by volatility. Standard deviation bands are applied to the MA, if price closes above 1STD this indicates a bullish trend and the strategy goes long. If a close below 1STD the long is closed.
The standard deviation bands are adjusted by volatility using the Garman-Klass volatility formula: portfolioslab.com
The assumption is the more volatile an asset the less price is being accepted in a certain price range and thus the threshold to go long or close a long increases. In the inverse, the less volatile an asset is the more it's being accepted, then the threshold for a bullish breakout is lowered.
GT trial"GT" stands for "Growth Tracker."
This script is simple but represents a solid winning strategy. For trial purposes, it will be available exclusively for BTC/USD.
This script is designed to track growth, and it will demonstrate its true potential in the upcoming altcoin season.
This strategy utilizes certain parameters from the Ichimoku Kinko Hyo indicator. A buy signal is generated when the price breaks above the two base lines and the lagging line crosses above the base line. It does not react in downtrends but may encounter false signals in range-bound markets. Buy signals tend to occur when the chart transitions from a stagnant phase to an upward trend.
The reason for basing this strategy on the Ichimoku Kinko Hyo is its ability to visually indicate whether the trading instrument is trending upwards or downwards, depending on the position relative to the "cloud." This makes it easier to identify the market direction and assess trade opportunities.
Korkusuz V4.0 Precision Strategy (Invite-Only)Korkusuz V4.0 Precision Strategy” is a closed-source, invite-only script meticulously engineered to offer traders a more refined perspective on market entries and exits. It combines several well-established technical tools—such as RSI, MACD, and Bollinger Bands—within a unique framework designed to generate higher-quality signals rather than simply merging common indicators. Here’s how each component contributes to the overall methodology:
RSI (Relative Strength Index): Identifies overbought or oversold conditions to avoid chasing trades in extreme market zones.
MACD (Moving Average Convergence Divergence): Provides trend confirmation and momentum insight, ensuring trades align with the prevailing trend rather than countering it.
Bollinger Bands: Adjusts entry and exit triggers based on market volatility, allowing the strategy to adapt to both ranging and trending environments.
These indicators are not just randomly combined. The script’s logic weighs each signal according to current market conditions, filtering out low-probability setups. For example, a long entry might only trigger if RSI confirms that conditions aren’t overextended, MACD shows positive trend momentum, and the price breaks above a Bollinger Band threshold. This synergy aims to produce more consistent results than using these indicators in isolation.
Backtesting Parameters and Realistic Settings:
Initial Capital: $10,000 (a realistic size for an average trader)
Commission: 0.1% per trade
Slippage: 0.5% to account for real-market order fills
Risk Management: Positions aim to risk no more than 2% of equity per trade, aligning with sustainable trading practices.
Data Sample Size: The strategy has been tested over a sufficiently long historical period to exceed 100 trades, ensuring statistical relevance. If a lower trade frequency occurs on specific symbols or timeframes, it is due to the strategy’s focus on quality over quantity. Users can select timeframes or instruments that provide ample trading signals.
Backtest results are intended to provide a realistic view, not to mislead. These conditions replicate plausible real-world trading costs and constraints, helping traders form realistic expectations.
Uniqueness and Value:
While Korkusuz V4.0 employs well-known indicators, its originality lies in how these tools are integrated and calibrated. It’s not merely a “mashup” of common indicators; rather, it uses a proprietary weighting system and conditional logic to generate signals. This approach results in a dynamic filtering of signals that aims to enhance profitability and stability. The script is invite-only because it offers a unique methodology that goes beyond standard public-domain logic, providing traders who gain access with a competitive edge.
Chart Presentation:
The script is presented on a clean chart with no unnecessary drawings or other scripts, ensuring that the user clearly understands when and why signals are generated. Any drawings or annotations that appear on the chart serve to illustrate entry and exit conditions, not to clutter the view.
Author’s Instructions (Access Requirements):
This is an invite-only script. To request access:
1.Send me a direct message on TradingView with your username.
2.Briefly explain why you’re interested in using this strategy.
If approved, you will be granted access. Please note that without explicit approval, you cannot use or view the code.
Jabber Alpha v2.0 Strategy
The Jabber Alpha v2.0 Strategy is a robust trading strategy designed to provide clear buy and sell signals based on price action and market conditions, helping traders identify high-probability entry points. The strategy combines multiple technical indicators and price action conditions to improve its accuracy and reliability.
Key Features:
Capital Risk Management: The strategy allows you to define the percentage of capital you're willing to risk on each trade, providing a level of control over your risk exposure. This feature ensures that you can manage your account balance effectively, making it a safer approach for trading.
Bullish and Bearish Signals:
Bullish Signal: A buy signal is generated when the price action aligns with bullish conditions. The strategy checks for specific candlestick patterns such as no lower wicks in consecutive candles, indicating strong upward momentum. In addition, a cross above a moving average of an oscillator can confirm the bullish trend.
Bearish Signal: A sell signal is triggered when the price action shows bearish candlestick patterns (no upper wicks) combined with a crossover below a moving average. This pattern suggests downward momentum and potential for a short position.
ATR-Based Take Profit and Stop Loss:
The strategy uses the Average True Range (ATR) to calculate both take profit and stop loss levels. ATR measures market volatility and adjusts these levels accordingly, allowing the strategy to adapt to changing market conditions. This dynamic approach helps in setting realistic profit targets and minimizing risk through effective stop placement.
Take Profit: The take profit level is set a specific ATR distance above the entry price for long trades and below the entry price for short trades.
Stop Loss: The stop loss is placed based on the previous candle's high for short positions and the previous candle's low for long positions. This approach ensures that the trade is protected if the price reverses quickly.
Candlestick Pattern Recognition:
The strategy includes logic to detect specific candlestick patterns that signal a potential trend reversal or continuation. For example, the absence of lower wicks in consecutive candles indicates strong buying pressure, and the absence of upper wicks signals strong selling pressure.
Automatic Trade Execution:
When the strategy detects a valid buy or sell signal, it automatically executes the trade, ensuring that the trader does not miss any key opportunities. This feature makes the strategy useful for both manual and automated trading setups.
Plotting and Visualization:
The strategy provides clear visual cues on the chart for buy and sell signals, making it easier for traders to interpret the market's direction at a glance.
The plotted take profit and stop loss levels are also visualized on the chart, giving a clear indication of risk management and potential exit points.
The RSI (Relative Strength Index) and its moving average are plotted for additional insights into market momentum, aiding in decision-making.
Risk Management:
The Capital Risk % setting ensures that the amount risked per trade can be controlled. Traders can adjust this percentage to match their risk tolerance and trading style. By managing risk on a per-trade basis, the strategy helps to protect capital in both volatile and trending markets.
This combination of technical indicators, candlestick patterns, and dynamic risk management makes the Jabber Alpha v2.0 Strategy a powerful tool for traders looking for automated, systematic entry and exit points.
cá nhân//@version=5
strategy("Demo GPT - Supertrend", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=100, commission_type=strategy.commission.percent, commission_value=0.1, slippage=3)
// Inputs
Periods = input.int(10, title="ATR Period")
src = input.source(hl2, title="Source")
Multiplier = input.float(3.0, title="ATR Multiplier", step=0.1)
changeATR = input.bool(true, title="Change ATR Calculation Method ?")
showSignals = input.bool(true, title="Show Signals ?")
highlighting = input.bool(true, title="Highlighter On/Off ?")
emaPeriod = input.int(50, title="EMA Period")
bbLength = input.int(20, title="Bollinger Bands Length")
bbMultiplier = input.float(2.0, title="Bollinger Bands Multiplier")
// ATR Calculation
atr2 = ta.sma(ta.tr, Periods)
atr = changeATR ? ta.atr(Periods) : atr2
// Supertrend Calculation
up = src - (Multiplier * atr)
up1 = nz(up , up)
up := close > up1 ? math.max(up, up1) : up
dn = src + (Multiplier * atr)
dn1 = nz(dn , dn)
dn := close < dn1 ? math.min(dn, dn1) : dn
trend = 1
trend := nz(trend , trend)
trend := trend == -1 and close > dn1 ? 1 : trend == 1 and close < up1 ? -1 : trend
// Bollinger Bands Calculation
basis = ta.sma(close, bbLength)
deviation = ta.stdev(close, bbLength)
upperBand = basis + (bbMultiplier * deviation)
lowerBand = basis - (bbMultiplier * deviation)
// Plot Supertrend and Bollinger Bands
upPlot = plot(trend == 1 ? up : na, title="Up Trend", style=plot.style_line, linewidth=2, color=color.green)
dnPlot = plot(trend == 1 ? na : dn, title="Down Trend", style=plot.style_line, linewidth=2, color=color.red)
plot(upperBand, title="Upper Band", color=color.blue, linewidth=1)
plot(lowerBand, title="Lower Band", color=color.blue, linewidth=1)
plot(basis, title="BB Basis", color=color.gray, linewidth=1)
// Buy and Sell Signals
buySignal = close > upperBand
sellSignal = close < lowerBand
if (buySignal and showSignals)
strategy.entry("Buy", strategy.long)
if (sellSignal and showSignals)
strategy.close("Buy")
// Highlighting
mPlot = plot(ohlc4, title="", style=plot.style_circles, linewidth=0)
longFillColor = highlighting ? (trend == 1 ? color.new(color.green, 90) : na) : na
shortFillColor = highlighting ? (trend == -1 ? color.new(color.red, 90) : na) : na
fill(mPlot, upPlot, title="UpTrend Highlighter", color=longFillColor)
fill(mPlot, dnPlot, title="DownTrend Highlighter", color=shortFillColor)
// Date Range Filter
startDate = input.time(timestamp("2018-01-01 00:00"), title="Start Date")
endDate = input.time(timestamp("2069-12-31 23:59"), title="End Date")
inDateRange = (time >= startDate and time <= endDate)
if not inDateRange
strategy.close_all()
EMA Crossover Strategy by QuanydexQuantdex EMA Crossover Strategy
The Quantdex EMA Crossover Strategy is a systematic approach to trading, leveraging exponential moving averages (EMAs) of varying periods—EMA (6), EMA (30), and EMA (200)—to identify trends, entries, and exits in the market.
Key Components:
EMA (6):
A short-term EMA that provides quick responses to price movements.
Used to capture immediate momentum shifts and signal potential trade entries.
EMA (30):
A medium-term EMA that acts as a filter to smooth out short-term fluctuations.
Helps identify intermediate trends and adds confirmation for trade signals.
EMA (200):
A long-term EMA that represents the overall trend direction.
Acts as a critical support/resistance level and helps avoid counter-trend trades.
Strategy Rules:
Bullish Entry:
EMA (6) crosses above EMA (30) while both are above the EMA (200).
Indicates a strong bullish momentum in a long-term uptrend.
Bearish Entry:
EMA (6) crosses below EMA (30) while both are below the EMA (200).
Confirms bearish momentum in a long-term downtrend.
Exit Rules:
Close the position when the EMA (6) crosses back below EMA (30) in a long trade or above EMA (30) in a short trade.
Advantages:
Provides clear trend identification with long-term confirmation from the EMA (200).
Reduces noise from short-term market fluctuations using the combination of EMA (30) and EMA (6).
Simple yet effective for swing and position traders.
This strategy, developed by Quantdex, combines robust technical indicators with proven backtesting performance, making it a reliable system for consistent trading results.
Hold Time With Percentage Drop Catastrophic ExitStrategy Name: Volatile Market Minimum-Hold & Catastrophic Drop Exit Strategy
Description:
This is a strategy designed to operate effectively within volatile trading environments, with specific rules that balance patience with protection from risk. It looks to capitalize on breakout conditions but provides a failsafe in the event of a sudden severe price decline.
Key Features:
Volatility-Based Entry Criteria:
This strategy is based on Bollinger Bands, ATR, VWAP, and MACD in trying to find breakout opportunities with increased volatility in the markets. It demands that the price go over the upper Bollinger Band when ATR indicates increased turbulence and that MACD signals upward momentum. In this way, it selects trades with high follow-through likelihoods, especially under trending conditions.
Minimum Holding Period:
Once a long position is initiated, the strategy imposes a strict "no-sell" period in bars. This means that, under normal circumstances, it will not close the position. This encourages the trade to mature, reducing the likelihood of premature exits caused by minor pullbacks or intraday noise.
Volume Confirmation:
A relative volume filter ensures that breakouts aren't occurring in low-liquidity conditions. In doing so, the strategy is only looking to enter when market participation is well above average, thereby increasing the odds of price moves being legitimate and sustainable.
Catastrophic Drop Exit:
The strategy includes a "catastrophic drop" mechanism to help mitigate severe, unexpected losses. If the price falls below a user-defined percentage of the entry price—sufficiently large to indicate a major market breakdown—it will override the minimum hold rule and immediately close the position. This helps protect capital if the market suddenly turns sharply negative.
User Configuration:
All the key parameters, which include the minimum hold duration, catastrophic drop percentage, Bollinger Band settings, MACD lengths, and ATR-based stop/target multiples, are user-editable. Traders can adjust the aggressiveness, holding time, and risk controls of the strategy to fit their specific risk tolerance, trading style, and the volatility profile of the markets in which they're participating.
Intended Use Case:
This strategy is more suitable for traders operating in more volatile markets, with frequent whipsaws and fast price moves. It tries to capture the upside of a volatile breakout while minimizing the downside from a sudden price collapse by balancing a forced hold period against the flexibility of a catastrophic drop exit.
Note:
This approach is in line with all automated or rules-based approaches: extensive backtesting and parameter optimization, followed by thorough forward-testing on paper, is very strongly advised before going into live market conditions. Also, adjust parameters to better suit your instrument of choice, timeframe, and your criteria of personal risk management.
MACD + RSI + EMA Yugo StyleThis indicator is based on macd + rsi strategy
Best use of this indicator is on 15min TF with 150 EMA when price is abobve 150EMA u take buy signals when under you take SELL
another strategy is to use with SUPERTREND when ST is red you take sell signals , when ST GREEN take only buy signals.
maybe in near future i write better code so that it will show only signals abobve and under ema etc... and add ST also in it so it will be all in 1 indicator.
good luck
Low Timeframe Trend Following with Price Action by dbbCandlestick patterns such as Pin Bars and Engulfing patterns are still used for confirmation of potential entries.
Support/Resistance levels provide areas of interest, and trades are only taken in the direction of the overall trend (identified via a shorter-period MA).
ATR is still used to determine appropriate stop loss and take profit levels, adjusted for the quicker price action on smaller timeframes.
Backtesting:
Set the chart to a low timeframe like 1m, 5m, or 15m and backtest the strategy.
Adjust input parameters as needed based on market volatility or asset behavior.
This version should now execute more trades while maintaining the logic for managing risk and profitability.
Low Timeframe Trend Following with Price Action by dbbCandlestick patterns such as Pin Bars and Engulfing patterns are still used for confirmation of potential entries.
Support/Resistance levels provide areas of interest, and trades are only taken in the direction of the overall trend (identified via a shorter-period MA).
ATR is still used to determine appropriate stop loss and take profit levels, adjusted for the quicker price action on smaller timeframes.
Backtesting:
Set the chart to a low timeframe like 1m, 5m, or 15m and backtest the strategy.
Adjust input parameters as needed based on market volatility or asset behavior.
This version should now execute more trades while maintaining the logic for managing risk and profitability.
Midnight Trend Strategy + Fiyat Belirleme + Oto RTest V.6Manual Trend Belirleme Sonrasında Otonom Hale Getirme Trend Belirlerken Fiyat Tabanlı Belırleme Eklendı Oto Rtest Eklendi Manual Sadece Rtest Verdiğinde İşleme Giriş Eklendi Kar Al seviyeleri Ve % leri Guncellendi Sistem İçerisinden Düzenlenebilir Hale Getirildi .
Pivot & Source Cross StrategyPivot & ZoneCross Strategy V2
A powerful trading script combining Pivot Points, Retracement Zones, and Dynamic Stop-Loss Management. Suitable for beginners and advanced traders.
Introduction
This script enables traders to leverage Pivot Points and retracement zones for precise entry and exit points. Using price crossover detection and customizable stop-loss management, it offers a structured approach to trading various market conditions.
Features
Pivot Point Calculations: Select between Classic or Fibonacci methods for precise support and resistance levels.
Zone-Based Entry Signals: Identify price crossovers with retracement levels for optimal trade timing.
Customizable Stop-Loss Management: Automatically adjusts stop-loss levels to secure profits or limit losses.
Support for Market or Limit Orders: Choose instant market execution or specific limit entry points.
Flexible Inputs for Sources: Use Source First and Source Second to integrate external indicators like RSI and RSI MA, providing advanced customization options.
Visualization of Key Levels: Easily track retracement zones, Pivot Points, and stop-loss levels directly on the chart.
Configurable Conditions: Tailor entry/exit logic for your trading style.
How to Set Up
Choose Your Higher Timeframe (TIMEFRAME):
This determines the Pivot Points and retracement levels.
Example: Use “D” for daily pivots while trading on lower timeframes.
Select Entry Zone Patterns:
Define the pattern for detecting retracement levels:
xxx: Minor levels (steps of 10).
xx0: Intermediate levels (steps of 50).
x00: Major levels (steps of 100).
Set Entry Conditions for Long and Short Trades:
Activate or deactivate up/down conditions for xxx, xx0, or x00 patterns. Specify the count and range of crosses required for valid signals.
Configure Source Inputs (Source First and Source Second):
Assign external indicators such as RSI and RSI MA to refine entry conditions.
Tip: Adjust RSI settings in its separate indicator to suit your needs.
Select Your Order Type:
Choose between Market orders for instant execution or Limit orders for precision entries. Adjust offset zones for limit orders.
Set Up Stop-Loss Management:
Use dynamic stop-loss patterns with adjustable offsets:
HL: Stop-loss uses high/low levels of the zone.
Close: Stop-loss uses the closing price.
Customize Visualization Options:
Enable or disable xxx, xx0, x00, or 0 levels for cleaner charts. Adjust the display of retracement levels and stop-loss lines.
Apply and Monitor:
Attach the script to your chart, monitor entry/exit signals, and adjust parameters as needed.
How It Works
Calculates Pivot Points based on the chosen method ( Classic or Fibonacci ).
Detects price crossovers with retracement zones to identify potential entry points.
Dynamically adjusts stop-loss levels based on retracement zones and stop-loss patterns.
Supports both market and limit orders with customizable offsets for precise entries.
Allows integration of external sources like RSI for enhanced signal precision.
Important Notes
Use Source First and Source Second to input external indicators like RSI. You can configure RSI settings in its separate indicator to refine signals further.
Always test and optimize parameters before live trading.
Combine this script with your own analysis and proper risk management strategies.
This script is a tool to assist trading decisions but does not guarantee profits. Always trade responsibly.
DipTrendCatcherThe DipTrendCatcher is a trend-following strategy designed to capitalize on strong bullish market conditions. It employs a multi-EMA alignment (Fast EMA > Mid EMA > Slow EMA) to identify uptrends and enters long positions when the price dips below the Slow EMA and reclaims the Fast EMA, with a dynamically set stop-loss at the lowest close during the dip.
This strategy has been tested on BYBIT:BTCUSDT.P on a 5-minute timeframe. Its performance is highly dependent on the exchange, chart type (e.g., Bybit, Binance...), and timeframe, with significant variations in results. It is only suitable for strong uptrend environments and is non-profitable in bearish or mean-reverting market conditions. Parameter optimization and thorough backtesting are essential for adapting it to specific trading setups.
Three Moving Averages Strategythis is three moving averages strategy is good for day time frame best for swing trading , probability vary for 60 to 80 to increase the probability add other indictors . you can rsi or macd.
Strategy Impulse Pivot EU - [AstroHub]The strategy is built on analyzing market impulses and their intensity. Its main goal is to help traders identify critical market moments when significant changes occur, signaling either a trend continuation or reversal.
Core Methodology
Impulse Movement
Measured by the difference between the current price and the previous bar’s price.
The indicator filters out minor fluctuations, focusing on meaningful changes.
Color Interpretation
Candles are color-coded based on the strength and direction of the impulse, providing a quick graphical understanding:
Green candles: Indicate moderate price growth, potentially signaling the end of the current trend.
Red candles: Reflect moderate price decline, possibly indicating a trend reversal.
Orange candles: Highlight strong price movements in either direction, signaling a potential trend continuation or reversal.
When a Signal Appears
Impulse Threshold : The price must change by at least a specified number of pips (e.g., 30 pips). This filters out weak movements.
Movement Intensity : Impulse is calculated and compared against threshold values to determine the signal’s strength.
Time Filter : Signals are generated 10 seconds before the hourly bar closes (at 59 minutes and 50 seconds). This ensures traders can prepare to act promptly.
Interpreting the Signals
Green Candle
Moderate price growth: A possible moment to take profit on long positions or open short positions.
Red Candle
Moderate price decline: A potential signal to open long positions or close short positions.
Orange Candle
Strong impulse movement:
If the price rises: A likely continuation of an upward trend.
If the price falls: A probable intensification of the downward trend.
I recommend using it on currency pairs with a 1-hour and 4-hour chart. EUR/USD, AUD/USD
Indicator Features
Impulse Analysis : The indicator highlights only significant price changes, ignoring market "noise."
Color Interpretation : Every movement is color-coded, simplifying the visualization of market dynamics.
Time Filter : Signals appear at critical moments — right before the hour closes. This enhances reliability and gives traders time to react.
Opening Levels : The indicator automatically marks opening levels for significant signals on the chart, helping traders visualize entry and exit zones.
Closed Code : The unique logic is protected, preventing unauthorized copying
Conclusion
This indicator is a powerful tool for analyzing impulse movements and their impact on the market. Its logic is straightforward, and its visualization makes signals easy to interpret. Suitable for both beginners and experienced traders, it offers clear entry and exit points with minimal false signal
