SRG Fibs SmoothedPLEASE READ: HOW TO UNDERSTAND HOW THIS INDICATOR WORKS FOR ME!
Why did I code this?
I never know where is the best place to buy
Sometimes I get greedy and just don't want to sell...
I want to protect myself from losses and still be able to make some trades
What does this do?
This script plots Fibonacci levels dynamically according to a specified length
It also has a smooting value so it looks a bit more clean (and allows for dynamic trailing stop loss)
Internal Fib levels allow to plot fibonacci levels between each main level (scalpers and day traders should be happy with this)
Fib Projection toggle so we can have "the same behaviour" during aggressive Bull Runs.
How to test this thing?
BTC USD Daily chart
For starters, use the following settings:
- Length: 365 (lookback of a full year)
- Smooth: 56 (8 week period)
- Inter Fib levels: OFF
- Fib projection: OFF
Have a look into the chart and check some support/resistance zones. Also check the behaviour of the indicator during the 2021 Jan -> Mar bull run (we will need it later)
If you like to check different time frames. Use these settings:
- Indicator Timeframe: 4 hours
- Length: 2190 (1 year)
- Smooth: 336 (8 weeks)
- Inter Fib Levels: ON
- Fib Projection: OFF
You can now test the chart using the 2H timeframe to see the movement, and how the Internal Fib levels work
Now as we're getting bullish:
- Indicator Timeframe: 4 hours
- Length: 2190 (1 year)
- Smooth: 336 (8 weeks)
- Inter Fib Levels: OFF
- Fib Projection: ON
You can now check the behaviour of the indicator during the 2021 Jan - Mar Bullrun in the 2H or 4H chart, to see some stop loss magic.
在腳本中搜尋"stop loss"
Ticker SummaryTicker Summary provides at-a-glance summary information about a ticker near the current bar on the chart:
P/E ratio
Fwd P/E ratio
PEG ratio
Floating shares vs. total shares outstanding
% of trading volume that was short over the last 3 days
Average True Range (ATR) over last 14 days
There are a few less common items of information:
How many ATR multiples the ATR is extended over the last 10 bars. This gives an idea of how far the stock is currently extended.
"R-frequency", explained below.
An optional "ATR Reticule" is shown near the price. This is useful for traders that use ATR as a guideline for price targets and stop losses. On the left is the # of ATRs the stock is currently above the session open. On the right is the # of ATRs the stock is extended above the 10-bar moving average.
R-frequency: a measure of liquidity relevant to your own trading size. It is the frequency at which 1-R of your trading account is traded for a stock. Formula:
(1-R worth of shares) / (average dollar value traded per second), where:
"1-R worth of shares" is how many shares you would buy for a stop loss of -1 ATR, with max risk dollar value based on the Balance and Max Risk % indicator options.
"Average dollar value traded per second" is the 14-day average of (avg(high, low and close) * daily volume)
R-frequency of a second or less is very liquid. If the value is higher (for example, over 60 seconds) the stock is less liquid and you may have some trouble filling limit orders quickly.
TradePro Parabolic SAR BackgroundTradePro Parabolic SAR Background
This indicator is a small tribute to youtuber TradePro
The operation is simple. It is the same Parabolic SAR indicator with its default configuration, but in background format. It is a new way to visualize the same information, more understandably. It is in itself a complete trading system, it can be used in conjunction with the traditional Parabolic SAR to locate the stop loss.
Parabolic SAR
In stock and securities market technical analysis, parabolic SAR (parabolic stop and reverse) is a method devised by J. Welles Wilder, Jr., to find potential reversals in the market price direction of traded goods such as securities or currency exchanges such as forex. It is a trend-following (lagging) indicator and may be used to set a trailing stop loss or determine entry or exit points based on prices tending to stay within a parabolic curve during a strong trend.
Similar to option theory's concept of time decay, the concept draws on the idea that "time is the enemy". Thus, unless a security can continue to generate more profits over time, it should be liquidated. The indicator generally works only in trending markets, and creates "whipsaws" during ranging or, sideways phases. Therefore, Wilder recommends first establishing the direction or change in direction of the trend through the use of parabolic SAR, and then using a different indicator such as the Average Directional Index to determine the strength of the trend.
A parabola below the price is generally bullish, while a parabola above is generally bearish. A parabola below the price may be used as support, whereas a parabola above the price may represent resistance.
Kifier's MFI/STOCH Hidden Divergence/Trend BeaterMFI/STOCH Hidden Divergence/Trend Beater
General Idea:
My premise around this strategy was to make a general strategy for crypto that would help out with finding entry positions for when you’re bullish on a crypto and want to hold on for a while, and at the same time avoiding massive drops. Essentially a way to mix long term/ swing trading; I somewhat achieved my goal however it still requires a lot of logic tuning of the trend averages.
I’m a huge proponent of volume indicators and coupled with average closing price, I think this gives a really good idea of what is happening with the market. It gives an idea on the market and retail investor sentiment. This generally gives you logical entry positions (Although I don’t know how amazing that will work with all cryptos, there’s a fine line between a good strategy and one that just rides bubble market conditions, some would argue that’s still a success and others not)
How it works:
There are many components to the strategy that try to do different things:
First of all there are two types of entries, a MFI hidden divergence with a STOCH check, essentially it will only fire when a divergence is detected while STOCH is above 50%, however this might be changed in the future as due to the volatile nature of cryptos, the STOCH is not too effective. The second entry is a simple MFI/STOCH trend, if STOCH is above 50% and the trend is detected to be in a trending long, once a MFI crossover over the 50% line is detected an entry is placed, this is designed to get out profit where the divergence would otherwise be less accurate during strongly trending conditions.
-MFI is a great indicator, as a volume weighted momentum indicator I find it the most accurate of all, the STOCH however is a great indicator to get a general picture of simple market conditions and can filter out the emotional noise of retail investors.
-VWMA and an SMA (The bottom oscillator) gives an idea of the trend tacking into account of the volume, this serves as a more short term filter of the trend for filters.
-OBV checks are done between the OBV and an EMA of the OBV, to get the idea of a volume weighted long trend, which is important for crypto as there are massive rallies to go up due to retail greed, it’s great to jump onto it at the beginning, and get off before the stack of cards fall apart.
-ATR is used to detect when the market is relatively just ranging or moving sideways, which is where the hidden divergence entries are done, during predictable and profitable market conditions.
- Stop loss is based on the closest support of the entry, this is a nice medium of room to breath but also an actual stop loss.
Future plans and improvements:
Currently there’s a lot I want to improve, mostly the divergence detection and the overall sharpe ratio could be much better, but the current value of 0.5 gives me hope that the strategy is onto something. I also want to change TP from a percentage stop to something more dynamic but that might be too optimistic. The current plan is to paper trade test this either by manual or by a python bot, to see how it performs with some user input as well.
Supertrend with Percent Difference from CloseThis script improves the Supertrend indicator by displaying a label that shows the percent difference between the latest closing price & the Supertrend.
This comes in handy when one is using the Supertrend value as a stoploss level. For instance, one would like to have a maximum stop loss level of 8%. Instead of calculating how much percent the price is away from the Supertrend, one can look at the percent label & make an informed decision as to whether initiating a position would have favourable risk/reward or not.
Another utility would be selling into strength when one is using the Supertrend as a trailing stop loss. For instance, if the price is a certain percentage far away from the Supertrend, one may conclude that the price is now extended & either price correction or time correction would ensue, & decide to sell into strength.
Relative VolumeVolume can be a very useful tool if used correctly. Relative volume is designed to filter out the noise and highlight anomalies assisting traders in tracking institutional movements. This tool can be used to identify stop loss hunters and organized dumps. It uses a variety of moving averages to hide usual activity and features an LSMA line to show trend. Trend columns are shown to highlight activity and can be seen at bottom of the volume columns, this is done using ZLSMA and LSMA.
The above chart shows an example of 2 indicators being used on the 15 min chart. The bottom indicator is set to the 1 min chart. Traders can see a large dump on the 1 min chart as institutions wipe out any tight stop losses. Next they buy back in scooping up all those long positions.
This is an example layout using a split screen setup and multiple timeframes ranging from 1 min to 30 mins. This gives a clear indication of trends and make it easy to pickup on institutional behaviour. Tip: Double clicking indicator background will maximize RVOL to the split screen window.
Momentum Trading Strategy (Weekly Chart)The strategy will open position when there is momentum in the stock
The strategy will ride up your stop loss based on the super trend.
The strategy will close your operation when the market price crossed the stop loss.
The strategy will close operation when the line based on the volatility will crossed
Double DojiStrategy Kiss = 'Keep It Simple, Stupid' or 'Keep It Simple, Smart'
The script simply identifies 2 consecutive Doji candles, and calculates Target on both the sides for given Reward : Risk factor.
The High-Low to Open-Close ratio is set to default value 20. The Reward : Risk ratio is of default value 2.
Both can be set to values of your choice.
Accuracy best on Daily chart. Can be tried on any timeframe though.
Trading Rules: Buy at higher / Short at lower of the 2 candles, with other as Stop Loss.
If a Stop Loss is hit, go for reverse trade. If again a SL is hit, switch to other instrument.
Important: If trading in Futures and target is achieved, hedge the position by buying an option (subject to liquidity).
Reason is, the trend may condition to any extent and you would definitely not want to miss out the whole action.
Check the shared example. For a risk to 175 points, reward is 2200+ points (more than 12.5 times).
Forex Scalp Triggersthe triggers only work to tell you go back 5 candles on 5 min, take either lowest or highest plus 3 pips and make entry and go 3 pip over under trigger for stop loss. can take half profit at 1x and move stop to break even and go 1x more for take rest profit, or create a trailing stop loss on Take Profit level 2 and ride the trend.
1 Hour chart has to be over under the emas that are faned out nicely to move to 5 min chart to look for the signals if 1hr chart isnt over under the emas nicely then NO TRADE
ForexSignalTV helped create this strategy, just my first script so learning, want to take it to next level but kind of stuck for now. More knowledge coming...
Buy the Dips (by Coinrule)Taking your first steps into automated trading may be challenging. Coinrule's mission is to make it as easy as possible, also for beginners.
Here follows the best trading strategy to get started with Coinrule. This strategy doesn't involve complex indicators, yet was proved to be effective in the long term for many coins. Results seem to be improved when trading a coin vs Bitcoin.
The strategy buys the dips of a coin to sell with a profit. A stop-loss protects every trade.
Crypto markets offer high volatility and, thus, excellent opportunities for trading. Excluding times of severe downtrend, buying the dip is a simple and effective long-term trading strategy. The buy-signal is set to a 2% drop in a 30-minutes time frame.
Each trade comes with a take profit and a stop loss. Both set at 2%.
You can adjust these percentages to the market volatility as an advanced setup. You can backtest the outcomes using the backtesting tool from Tradingview
The strategy assumes each order to trade 30% of the available capital. A trading fee of 0.1% is taken into account. The fee is aligned to the base fee applied on Binance, which is the largest cryptocurrency exchange.
TrendMaAlignmentStrategy - Long term tradesThis is another strategy based on moving average alignment and HighLow periods. This is more suitable for long term trend traders and mainly for stocks.
Candle is colored lime if : Lookback Period has at least one bar with moving averages fully aligned OR None of the bars in Lookback periods has negatively aligned moving averages (More than half are positively aligned).
Candle is colored orange if : Lookback Period has at least one bar with moving averages fully aligned in negative way OR none of the bars in lookback has positively aligned moving averages (More than half are negatively aligned).
If either of above conditions are met, candle is colored silver.
Moving average alignment parameters:
Moving Average Type : MA Type for calculating Aligned Moving Average Index
Lookback Period : Lookback period to check highest and lowest Moving Average index.
HighLow parameters:
Short High/Low Period: Short period to check highs and lows
Long High/Low Period: Longer Period to check highs and lows.
If short period high == long period high, which means, instrument has made new high in the short period.
ATR Parameters:
ATR Length: ATR periods
StopMultiplyer: To set stop loss.
ReentryStopMultiplyer: This is used when signal is green buy stop loss on previous trade is hit. In such cases, new order will not be placed until it has certain distance from stop line.
Trade Prameters:
Exit on Signal : To be used with caution. Enabling it will allow us to get out on bad trades early and helps exit trades in long consolidation periods. But, this may also cause early exit in the trend. If instrument is trending nicely, it is better to keep this setting unchecked.
Trade direction : Default is long only. Short trades are not so successful in backtest. Use it with caution.
Backtest years : limit backtesting to certain years.
Part of the logic used from study's below:
Other strategies based on these two studies are below (which are meant for short - medium terms):
2 Candles Inside ATR2 agitated candles falling inside ATR range, awaiting possibly a big move.
Buy / Sell signals at combined high / low can be used as order with other as stop loss.
Counter trade, when this minimal stop loss is hit, is also as useful. However, wait till the SL candle closes, before opening position on the other side.
Works quite well on 15 mins chart, with settings of ATR duration 25 and multiplier 0.6. These settings are configurable, so feel free.
inwCoin Percent from all-time highSimple study to show the fact to some newbies in the market that it is VERY HARD to make a profit and get your portfolio back to all-time high if you don't know how to stop loss...
Some people think "Oh, ez if you down -90% you need only +90% to get 100% of your capital again"
But... actually....if your portfolio down -90% you need to go 1000% from current price to reach your start capital!!!!
This study will show
- Current symbol detail
- Percent down from All-time High ( ATH )
- Percent up from current price to reach ATH again
Profit and Stoploss CalculatorThis script is designed to display three stop loss areas to assist either with automation of risk management or identify and alert when price is in a range of a trade for risk to reward ratio.
In this version there are three stop losses and 1 PT. Mainly because i will most likely only be using 1 of the SL to pair with the PT.
Stoploss areas are displayed on both sides of the price for long and short calculations along with the two profit factors but the settings in the indicator it self apply to both sides in terms of percentage.
[BoTo] Pump&Dump StrategyThis strategy uses only long positions. It isn't used short positions, it doesn't use marginal trade, it doesn't use a pyramiding.
It is strategy uses only one indicator. Ourselves have constructed the indicator for cryptocurrencies. We called it 'Pump&Dump Ocsilator'. You can read as this indicator works here:
Not usual stop
Strategy uses 2 ways for closing of an unprofitable position. But it is possible to use only one way.
Way 1: if the indicator has distinguished a dump, then the long position needs to be closed when the candle is closed (for an example: to close a position when time 00:00 if you have chosen daily timeframe)
Way 2: the user himself chooses the size in settings of this script. Percent. If the user has chosen 100%, means isn't used absolutely. Because the price will never fall by 100%. If the user has chosen less than 100%, for example 5%, then the long position needs to be closed if the low of a candle was less than this price level of choosed stop-loss. But the position needs to be closed too when the candle is closed.
Strategy
A pump-signal: if the candle green and her body is 3 times more than norm
A dump-signal: on the contrary, if the candle red and her body is 3 times more than norm
For opening of a long position: it is necessary any pump-signal (if the position hasn't been open yet)
For closing of a long position: several ways:
1) Or any dump-signal is necessary
2) Or a stop-loss which was chosen by the user is necessary
MACDouble & StochRSI w/ safeties and variable time interval v0.3UPDATE:
IMPORTANT!!! MAKE SURE "RECALCULATE AFTER ORDER FILLED" IS CHECKED. I will have it on by default in the future.
This is a continuation of my previous scripts of two MACD indicators with a Stochastic RSI indicator.
New features:
- Alternate MACD time interval
You can now set the time interval for the second MACD indicator to a different resolution than the displayed chart.
Uncheck the box and select the desired interval. For example, if your chart is set to 15min then first MACD will be set at 15 min and you can select 5 min for the second MACD.
- Alternate StoRSI time interval
You can (and should) set the StochRSI to a different time interval as well. StochRSI hasn't worked great with previous versions. Now you can set it to a different time resolution as well. I strongly recommend you set it at a higher (slower) resolution; for example if your chart is set at 15min then you should test setting the StochRSI at 30 or 45min.
- ' True" StochRSI logic
Trading logic for StochRSI is now a true StochRSI, instead of just reading "k" and ignoring "d", K now has to be greater than D to buy and less than to sell.
- Safeties
A primitive but low risk safety in the form of an uptrend/downtrend price safety. If current close+high isn't greater than the previous close and high then the buy order will not be executed. The same applies for sell orders.
- Cap on losses from short positions
A stop loss safety set to 9000 for exiting sell positions. This will need refinement in the future but this puts a cap on losses from any sell position. At an initial currency of 10,000 this translates to 90.00. If it is giving you problems simply delete line 78 from the source code.
Please feel free to ask any questions or send me suggestions. This is still very much a work in progress and I'll try to polish up the rough spots but it is fully functional. With a slower StochRSI and the safeties I have gotten it to consistently outperform the old 2x MACD strategy script---typically by 3-fold.
Demo GPT - Bollinger Bands StrategyHere’s a professional and detailed description for publishing your **"iNsTiNcT - Bollinger Bands Strategy"** on TradingView:
---
### **Strategy Description: iNsTiNcT - Bollinger Bands Strategy**
#### **Overview**
This strategy uses **Bollinger Bands®** to identify potential breakouts and trend reversals. It goes **long** when the price closes **above the upper band** (indicating strong bullish momentum) and **exits the position** when the price closes **below the lower band** (signaling a potential reversal or weakness).
Unlike traditional Bollinger Bands strategies that may trade both long and short, this version **only takes long positions**, making it suitable for trending markets while avoiding short-side risks.
---
### **Key Features**
✅ **Long-Only Trend Strategy** – Capitalizes on strong uptrends when price breaks above the upper band.
✅ **Clear Exit Signal** – Closes the trade when price falls below the lower band, locking in profits or cutting losses.
✅ **Customizable Parameters** – Adjustable length, standard deviation multiplier, and MA type for different market conditions.
✅ **Date Range Filter** – Test or trade between **January 2018 and December 2069**.
✅ **Professional Risk Management** – **0.1% commission** and **zero slippage** for realistic backtesting.
✅ **Visual Preservation** – Maintains the original Bollinger Bands indicator plots for easy comparison.
---
### **Input Parameters**
| Parameter | Description | Default Value |
|-----------|------------|--------------|
| **Start Date** | Backtest/trade start date | Jan 1, 2018 |
| **End Date** | Backtest/trade end date | Dec 31, 2069 |
| **Length** | Period for Bollinger Bands calculation | 20 |
| **Basis MA Type** | Type of moving average (SMA, EMA, SMMA, WMA, VWMA) | SMA |
| **Source** | Price source for calculations | Close |
| **StdDev** | Multiplier for standard deviation | 2.0 |
| **Offset** | Shifts bands forward/backward | 0 |
---
### **Strategy Logic**
#### **Entry Condition (Long)**
➡ **Buy Signal:** `Close > Upper Bollinger Band`
#### **Exit Condition (Close Long)**
➡ **Sell Signal:** `Close < Lower Bollinger Band`
*(No short trades are taken—only long and flat positions.)*
---
### **How to Use This Strategy**
1. **Apply to Chart** – Works on any timeframe (best on **1H, 4H, or Daily** for swing trading).
2. **Optimize Settings** – Adjust `Length` and `StdDev` for different volatility conditions.
3. **Combine with Filters** – Add volume confirmation or RSI for stronger signals.
4. **Backtest** – Use the **date range** to test different market cycles.
---
### **Risk & Limitations**
⚠ **Works Best in Trending Markets** – May produce false signals in choppy or sideways conditions.
⚠ **Single Indicator Reliance** – Consider adding confirmation filters (e.g., RSI, MACD).
⚠ **No Stop-Loss by Default** – Exits only when price touches the lower band.
---
### **Final Notes**
This strategy is designed for **educational and experimental purposes**. Always conduct **forward testing** before live trading.
🔹 **Happy Trading!** 🚀
---
### **Publishing Tags (For SEO)**
`Bollinger Bands Strategy`, `Trend Following`, `Breakout Trading`, `Long-Only Strategy`, `Technical Analysis`, `TradingView Strategy`, `Pine Script v6`, `Swing Trading`
---
This description is **clear, engaging, and optimized for TradingView’s audience**. It highlights the strategy’s logic, strengths, and limitations while encouraging users to experiment with it.
Would you like any refinements?
XAUUSD Scalping Strategy - FVG + CISD📈 XAUUSD Scalping Strategy – FVG + CISD (3M/5M)
This strategy is designed for high-probability scalping on gold (XAU/USD) using a blend of Smart Money Concepts (SMC) and momentum-based price action. It works best on the 3-minute and 5-minute charts with bias from the 15M or 1H timeframe.
🔍 Core Concepts:
Fair Value Gaps (FVGs): Price inefficiencies created when strong displacement candles leave behind imbalanced zones. Used as retracement entry points.
CISD (Change in State of Delivery): Detects momentum shifts using strong displacement candles following a liquidity sweep or market structure break.
Liquidity Sweeps: Identifies stops being taken above recent highs or below recent lows, often leading to a reversal.
Market Structure Break (MSB): Confirms the change in directional bias after a liquidity sweep and displacement.
🧠 Strategy Logic:
Buy Conditions:
Bias is set to “Bullish”
Price sweeps a recent swing low (liquidity grab)
A strong bullish displacement candle confirms momentum (CISD)
A bullish Fair Value Gap forms
A bullish Market Structure Break occurs
Sell Conditions:
Bias is set to “Bearish”
Price sweeps a recent swing high
A strong bearish displacement candle confirms reversal
A bearish Fair Value Gap forms
A bearish Market Structure Break occurs
🎯 Entry & Risk Management:
Entry: Upon retracement into the Fair Value Gap (FVG)
Stop-Loss: Below swing low (for buys) or above swing high (for sells)
Take-Profit: 2x Reward-to-Risk ratio (adjustable)
Alerts: Configurable alerts notify you of qualified trade setups in real time
✅ Best Use Practices:
Use only during high-volume sessions (London/NY open)
Confirm direction using M15 or H1 bias
Avoid ranging markets or choppy sessions
Combine with liquidity zones or higher timeframe supply/demand for stronger confluence
ATR Display ShorcutATR Value Display - On-Chart Volatility Monitor
Clean ATR display directly on your price chart - no extra panels needed!
This indicator displays the current Average True Range (ATR) value as a clean table overlay on your price chart, eliminating the need for a separate indicator panel below your main chart.
✨ Key Features:
On-chart display: ATR value shown directly on price chart
Customizable positioning: Choose from 4 corner positions
Clean design: Minimal, non-intrusive table format
Real-time updates: Always shows the latest ATR value
Adjustable period: Default 14-period, fully customizable
🎯 Perfect For:
Position sizing calculations
Stop-loss placement (1x, 1.5x, 2x ATR)
Volatility assessment at a glance
Clean chart setups without extra panels
Quick reference during live trading
📊 How to Use:
Add to chart
Select your preferred table position
Adjust ATR period if needed (default: 14)
The current ATR value displays automatically
💡 Pro Tip:
Use this ATR value to:
Set stop-losses at 1.5x or 2x ATR distance
Determine position size based on account risk
Compare current volatility to historical levels
Clean charts, clear data, better trading decisions.
Compatible with all timeframes and instruments. Pine Script v6.
Feel free to adjust this description to match your style or add any specific features you want to highlight!
Long Explosive V1The “Long Explosive V1” strategy calculates the percentage change in price from the last closing price of the candlestick, so that if it increases by a certain percentage it goes long, but if it decreases by another percentage it sends an exit order, so that the percentage limits above and below the current price function as inherent stop loss and take profit, with the benefit of taking advantage of the volatility of the bull market.
Entries and exits are always at the market and based on percentage changes in the price. Of course, the default configuration of the strategy considers a position with a 5% risk control, modest initial capital and standard commissions, which helps to obtain realistic results and protect the user from unexpectedly controlled potential losses.
It is again emphasized that it is always advisable to adjust the parameters of the strategy well, so that the risk-reward is well controlled.
IPDA with Order Blocks [Enhanced]Summary of the Code
This script plots IPDA Standard Deviations on a price chart, helping traders visualize potential support and resistance levels based on a series of user-defined deviations. It uses swing high/low points and time-based fractal lookbacks (monthly, weekly, daily, or intraday) to define price anchors and compute deviation lines.
Key features include:
Deviations: It calculates and plots deviation levels based on the distance between swing highs and lows, which traders can use as price targets or zones of interest.
Timeframes:
Monthly (higher timeframe analysis)
Weekly (medium-term analysis)
Daily and Intraday (shorter-term precision)
Customization:
Choose which deviation levels (e.g., 0, 1, -1, -2) to display.
Hide labels or adjust their sizes for cleaner charts.
Option to remove invalidated deviation levels dynamically.
Visual Cleanliness: Automatically removes clutter by hiding or deleting invalid deviation levels and focusing on active price zones.
How to Utilize It for Intraday Trading to Make $1,000
Here’s how to effectively use the indicator to optimize intraday trading:
1. Set the Right Timeframe:
Use the 15-minute or 1-hour chart for intraday setups.
Ensure the "Intraday" lookback option is enabled to focus on shorter-term swings.
2. Interpret the Levels:
Bearish Order Blocks: Look for red lines (bearish deviation) as potential resistance zones where the price may reverse downward.
Bullish Order Blocks: Look for green lines (bullish deviation) as potential support zones where the price may bounce upward.
3. Plan Entries and Exits:
Entry: Buy near a green order block or short near a red order block, confirming the trade with additional signals (e.g., candlestick patterns, momentum indicators).
Stop Loss: Place your stop below the green line (for buys) or above the red line (for shorts).
Profit Targets: Use deviation levels as targets (e.g., from the 0 level to +1 or -1).
4. Combine with Market Context:
Use the script alongside volume profile, trend indicators, or news events for confirmation.
Avoid trading during major news events unless aligned with deviations.
5. Position Sizing for $1,000 Goal:
Trade liquid instruments like Nasdaq futures (NQ) or major forex pairs.
Risk 1-2% of your capital on each trade and scale into positions if confirmed.
Target a profit of 10-20 points per trade on Nasdaq futures, with 1-2 trades daily.
6. Monitor Key Timeframes:
Pre-market (before 9:30 AM EST): Mark deviation levels to predict market open behavior.
Midday & Power Hour (3-4 PM EST): Watch for breakouts or retests around key deviation levels.
By combining this tool with disciplined risk management and a clear trading plan, you can systematically work toward your profit target while minimizing unnecessary risks
[blackcat] L1 Net Volume DifferenceOVERVIEW
The L1 Net Volume Difference indicator serves as an advanced analytical tool designed to provide traders with deep insights into market sentiment by examining the differential between buying and selling volumes over precise timeframes. By leveraging these volume dynamics, it helps identify trends and potential reversal points more accurately, thereby supporting well-informed decision-making processes. The key focus lies in dissecting intraday changes that reflect short-term market behavior, offering critical input for both swing and day traders alike. 📊
Key benefits encompass:
• Precise calculation of net volume differences grounded in real-time data.
• Interactive visualization elements enhancing interpretability effortlessly.
• Real-time generation of buy/sell signals driven by dynamic volume shifts.
TECHNICAL ANALYSIS COMPONENTS
📉 Volume Accumulation Mechanisms:
Monitors cumulative buy/sell volumes derived from comparative closing prices.
Periodically resets accumulation counters aligning with predefined intervals (e.g., 5-minute bars).
Facilitates identification of directional biases reflecting underlying market forces accurately.
🕵️♂️ Sentiment Detection Algorithms:
Employs proprietary logic distinguishing between bullish/bearish sentiments dynamically.
Ensures consistent adherence to predefined statistical protocols maintaining accuracy.
Supports adaptive thresholds adjusting sensitivities based on changing market conditions flexibly.
🎯 Dynamic Signal Generation:
Detects transitions indicating dominance shifts between buyers/sellers promptly.
Triggers timely alerts enabling swift reactions to evolving market dynamics effectively.
Integrates conditional logic reinforcing signal validity minimizing erroneous activations.
INDICATOR FUNCTIONALITY
🔢 Core Algorithms:
Utilizes moving averages along with standardized deviation formulas generating precise net volume measurements.
Implements Arithmetic Mean Line Algorithm (AMLA) smoothing techniques improving interpretability.
Ensures consistent alignment with established statistical principles preserving fidelity.
🖱️ User Interface Elements:
Dedicated plots displaying real-time net volume markers facilitating swift decision-making.
Context-sensitive color coding distinguishing positive/negative deviations intuitively.
Background shading highlighting proximity to key threshold activations enhancing visibility.
STRATEGY IMPLEMENTATION
✅ Entry Conditions:
Confirm bullish/bearish setups validated through multiple confirmatory signals.
Validate entry decisions considering concurrent market sentiment factors.
Assess alignment between net volume readings and broader trend directions ensuring coherence.
🚫 Exit Mechanisms:
Trigger exits upon hitting predetermined thresholds derived from historical analyses.
Monitor continuous breaches signifying potential trend reversals promptly executing closures.
Execute partial/total closes contingent upon cumulative loss limits preserving capital efficiently.
PARAMETER CONFIGURATIONS
🎯 Optimization Guidelines:
Reset Interval: Governs responsiveness versus stability balancing sensitivity/stability.
Price Source: Dictates primary data series driving volume calculations selecting relevant inputs accurately.
💬 Customization Recommendations:
Commence with baseline defaults; iteratively refine parameters isolating individual impacts.
Evaluate adjustments independently prior to combined modifications minimizing disruptions.
Prioritize minimizing erroneous trigger occurrences first optimizing signal fidelity.
Sustain balanced risk-reward profiles irrespective of chosen settings upholding disciplined approaches.
ADVANCED RISK MANAGEMENT
🛡️ Proactive Risk Mitigation Techniques:
Enforce strict compliance with pre-defined maximum leverage constraints adhering strictly to guidelines.
Mandatorily apply trailing stop-loss orders conforming to script outputs reinforcing discipline.
Allocate positions proportionately relative to available capital reserves managing exposures prudently.
Conduct periodic reviews gauging strategy effectiveness rigorously identifying areas needing refinement.
⚠️ Potential Pitfalls & Solutions:
Address frequent violations arising during heightened volatility phases necessitating manual interventions judiciously.
Manage false alerts warranting immediate attention avoiding adverse consequences systematically.
Prepare contingency plans mitigating margin call possibilities preparing proactive responses effectively.
Continuously assess automated system reliability amidst fluctuating conditions ensuring seamless functionality.
PERFORMANCE AUDITS & REFINEMENTS
🔍 Critical Evaluation Metrics:
Assess win percentages consistently across diverse trading instruments gauging reliability.
Calculate average profit ratios per successful execution measuring profitability efficiency accurately.
Measure peak drawdown durations alongside associated magnitudes evaluating downside risks comprehensively.
Analyze signal generation frequencies revealing hidden patterns potentially skewing outcomes uncovering systematic biases.
📈 Historical Data Analysis Tools:
Maintain comprehensive records capturing every triggered event meticulously documenting results.
Compare realized profits/losses against backtested simulations benchmarking actual vs expected performances accurately.
Identify recurrent systematic errors demanding corrective actions implementing iterative refinements steadily.
Document evolving performance metrics tracking progress dynamically addressing identified shortcomings proactively.
PROBLEM SOLVING ADVICE
🔧 Frequent Encountered Challenges:
Unpredictable behaviors emerging within thinly traded markets requiring filtration processes.
Latency issues manifesting during abrupt price fluctuations causing missed opportunities.
Overfitted models yielding suboptimal results post-extensive tuning demanding recalibrations.
Inaccuracies stemming from incomplete/inaccurate data feeds necessitating verification procedures.
💡 Effective Resolution Pathways:
Exclude low-liquidity assets prone to erratic movements enhancing signal integrity.
Introduce buffer intervals safeguarding major news/event impacts mitigating distortions effectively.
Limit ongoing optimization attempts preventing model degradation maintaining optimal performance levels consistently.
Verify reliable connections ensuring uninterrupted data flows guaranteeing accurate interpretations reliably.
USER ENGAGEMENT SEGMENT
🤝 Community Contributions Welcome
Highly encourage active participation sharing experiences & recommendations!
THANKS
Heartfelt acknowledgment extends to all developers contributing invaluable insights about volume-based trading methodologies! ✨
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.
