SGX Nifty Movement During Indian Market HoursSGX Nifty or Singapore Nifty is a derivative contract of the Nifty 50 index which is the benchmark index of NSE in India. SGX Nifty trades for 21 hours in a day while Nifty 50 trades only for 6 hours and 15 minutes. Traders in India miss out on a lot of price action which happens on the Singapore Nifty. This code which is originally inspired from @Gustavorubi has been modified to track SGX Nifty's movements outside Indian market hours. This will help intraday traders to identify support and resistance levels which are not seen on Nifty 50 futures.
This source code is inspired from GustavoRubi's code on FX Sessions.
Buscar en scripts para "Futures"
Overnight inventoryThe indicator is dedicated for market / volume profile traders. It presents overnight inventory as a yellow number next to the indicator name on your charts. It does not plot anything.
If the number is positive then the inventory is net long and vice versa.
It is calibrated for US indicies, so it makes sense to use it only on US futures.
ADX and DI LevelsADX:
ADX is used to quantify trend strength. ADX calculations are based on a moving average of price range expansion over a given period of time. The default setting is 14 bars, although other time periods can be used.1
ADX can be used on any trading vehicle such as stocks, mutual funds, exchange-traded funds and futures.
DI (+/-):
The directional movement index (DMI) is an indicator developed by J. Welles Wilder in 1978 that identifies in which direction the price of an asset is moving. The indicator does this by comparing prior highs and lows and drawing two lines: a positive directional movement line (+DI) and a negative directional movement line (-DI). An optional third line, called the average directional index (ADX), can also be used to gauge the strength of the uptrend or downtrend.
This indicator has the length changed from 14 to 9 so you can have more updated price calculation
I also add the 4 levels I use for day trading; the 10, 20, 30, 40-50 are the levels I like to see the Di to break over.
A lot of traders use different levels, but these I have and found most useful. You can set alerts when any Di crosses over the 40 for true trend breakout!
Baekdoo multi OverSold OverBuy colored CandleHi forks,
I'm trader Baekdoosan who trading Equity from South Korea. This Baekdoo multi OverSold OverBuy colored candle will give you the idea of
multiple indicators in one shot with colored candle. Those indicators tell us that oversold or overbuy statistically. For the color, you can freely change
based on your comfort. For me, in Korea white candle has red color and black candle has blue color. So somewhat confusing for you. Anyway you can
easily modify color in the script. Please refer this line.
barcolor(open<close and result_pos == 4 ? color.new(color.red, 0) : open<close and result_pos == 3 ? color.new(color.red, 25) : open<close and result_pos == 2 ? color.new(color.red, 50) : open<close and result_pos == 1? color.new(color.red, 75) : na)
you can see I put different transparency at color.new() function with color code. Let me divide and conquer to explain for up candle
white candle and black candle.
1. White candle
with 4 oversold signal case with white candle tells us it is almost reached real bottom and try to rebound. In this case, I put vivid color (no transparency) on the candle. And all 4 signal case, I put text on "OverSold". It will not happen frequently. Then 2 approaches can be made.
(a) short term approach
You can buy on this time. and you set stop loss with open price. This is mainly aimed for technical rebound.
(b) long term approach
You can accumulate based on your budget with 5 times dividing. At that day might not be the very bottom but those period will most probably real bottom. You can put more weight on latter buy. Let say, 1 : 1.25 : 1.5 : 1.75 : 2.5. So for example, if you have $8,000 to investigate then, buy $1,000 and then $1,250, $1,500, accordingly. If price rebound then don't adding weight on accumulation but with the first amount that you buy(i.e., $1,000 with above example). With this approach, you will not have much stress and you will get profit well. If this is grand bottom case, then you can HODL this long term. What you needs is stick to the plan. :)
with 3 signals the color is less vivid, 2 signals is much less vivid, accordingly.
2. Black candle
The approaches are opposite to above. The signal will tells us for 4 overBuy signals, then vivid blue candle will be shown. Our strategy is distribute to sell. Please do not sell in one shot. As Newton said, "I can calculate the motions of the heavenly bodies, but not the madness of the people". Strong buy phase, we don't know how far will it go. But indicators will tell us it is quite overSold situation. So what I can suggest you is sell it 10% to 20% on resistance price, and put 50% of lower than certain support price. Remember, accumulation and distribution will always better than one shot trading if you want to survive long time on this war field.
Hope this will help your trading on equity as well as crypto. I didn't try it on futures. Best of luck all of you. Gazua~!
Baekdoo ANGNHi forks,
I'm trader Baekdoosan who trading Equity from South Korea. This Baekdoo ANGN indicator plot volume when large volume trading happened.
Assume that the large volume means higher than 1% of its marketcap amount. And adding ANGN (An-Na-Gan-Ni?, means "are you still there? in Korean")
line for upgrade version of On Balance Volume (OBV).
OBV is very good indicator but when it has long tail and short body, it can have wrong indication of buying or selling from big whales. So ANGN with large volume indicator combination would gives you better idea for the big brothers buying or selling tracker.
hope this will help your trading on equity as well as crypto. I didn't try it on futures. Best of luck all of you. Gazua~!
Baekdoo baselineHi forks,
I'm trader Baekdoosan who trading Equity from South Korea. This Baekdoo baseline will give you the idea of big whale's approximate average price. The idea behind this indicator is to combine volume and price. Here's one of the equation.
...
HT4=highest(volume, 250)
NewH4=valuewhen(volume>HT4 , (open+close+low+high+close)/5, 1)
result4=ema(NewH4, 20)
...
As you can see it will update when highest volume is updated by certain period of time. At that update will be the price of the close weighted price. and I put shift value of 20 (offset of input value) due to putting time theorem of Ichimoku Balance Table. 20 days means for 1 month of market day.
Why this idea work? It is mainly for the support / resistance. Resistance is made for lots of individual's buy. When the price goes down, they are tend to hold. As time goes by price getting high to their average price, then they are selling it with small profit or the same price or with small loss. So resistance is made by lots of individuals. And supports are made by small number of big whales. If we see the volume only, then we cannot differentiate easily for lots of individuals and small number of big whales. But lower price's large volume will most probably be the whale where higher price's large volume will most probably tons of individuals.
hope this will help your trading on equity as well as crypto. I didn't try it on futures. Best of luck all of you. Gazua~!
Customizable Gap FinderThis is a fully customizable gap finder. You can change the color of just about anything, on top of hiding filled/old gaps. This is so you can spot those tiny gaps on something such as futures. Be sure to play around with the settings.
RSI Classic Strategy (by Coinrule)One of the questions hobbyist traders more often ask is: what is the perfect trading indicator?
Every indicator is just a tool, so its efficiency is proportional to your ability to read its signals and translate them into an actionable trading strategy. The RSI is likely the most flexible and easy to use among the technical indicators.
This trading strategy tries to catch short-term swings on the coins of your choice with a simple yet profitable setup.
Buy when the RSI is lower than 30 (you can adjust it to 35 in times of steep uptrend).
Sell when the RSI is greater than 65 (the target may range between 60 and 75 depending on the volatility of the coin).
Note that the buy signal comes when the indicator crosses below 30 and not when it crosses above 30 as it happens on the built-in RSI strategy on Tradingview.
The present script overperforms the built-in strategy, even adding trading fees and using a lower amount of capital for each trade (30%). That means that the system can deliver higher net-profits with lower risk levels.
A typical example of market conditions where this strategy works perfectly is as follows.
The first initial breakout indicates that a new leg up in the trend may start. Bitcoin starts to trade within a range which you can identify when it reaches the point 3. That is the perfect time to start the rule because
- trading within a channel anticipates possible swings up and down
- the trend is on the upside, providing low downside risk in buying the dips.
This strategy works well with selected coins of your choice, and it's a great fit on leverage exchanges like Binance Futures.
If you prefer to run it across all available coins on the market, instead, you may choose an optimized version.
Normalized Volatility IndicatorFrom an article by Rajesh Kayakkal:
"Early bear phase signals can help you get out of the market before it turns down. This indicator tells you how.
There are many ways to identify the trend of a financial market, the most common being the 200-day exponential moving average (Ema). When price is trending down below the 200-day Ema, the market is believed to be in a bear phase. If the market is trending up above the 200-day Ema, it is considered to be in a bull phase.
Since every indicator fails at times, I wanted to find other indicators to confirm a trend. In my quest for another indicator to determine the trend for the financial markets, I found the Cboe Volatility Index (Vix) to be a good indicator of the market direction. The Vix is calculated from the weighted average of the implied volatilities of various options on the Standard & Poor’s 500 index futures.
J. Welles Wilder’s average true range can also give an indication of the financial market trends; that is, when the market is in a bull phase, the average true range narrows, and when it is in a bear phase, the average true range expands. The normalized volatility indicator (Nvi) is based on this behavior.
Normalized volatility indicator (Nvi)
Average true range (Atr) varies depending on time. But how do we determine the phase of the financial market with Atr? Perhaps some type of ratio could give us a clue. A ratio presents a relationship of a quantity with respect to another. I did some research based on a ratio of the 64-day average true range and the end-of-day value of equity indexes such as the Standard & Poor’s 500 (Spx). I selected the 64-day period since it is close to the average number of trading days in a quarter. The ratio of the 64-day average true range and closing price does discount seasonal variations in the average true range and gives a single number that can be used to compare volatility of an instrument across many decades. I call this ratio the normalized volatility indicator.
I found an interesting correlation between Nvi and cycles of major equity market indexes. The formula for the Nvi is:
Nvi = 64 - Day average true range/End-of-day price * 100
The NVI gave advanced signals before the cyclical bear phase of SPX commenced in October 2000 and was almost on the spot with the bull phase that began in 2003 and the current secular bear market cycle, which started in November 2007."
Includes options to show inverse NVI and change the ATR length and smoothing.
Equity Index Overnight FakeoutThis script highlights when price violates the highest high or lowest low within the user's selected lookback period, with the caveat that it occurs during the GLOBEX session. The script is designed to work exclusively with the trading hours for CME and CBOT Equity Index futures. I'm planning to make a more customizable version down the line.
My reasoning behind this very simple script is that the low liquidity and participation of the overnight session creates a tendency for moves at extremes to mean revert. Let me know what you think.
Relative Strength Index of EU and US Stock Index Trends quality//Relative Strength Index of European and US Stock Index Trends quality
//This indicator reveals the relative strength of European and US stock index futures.
//take Bull trend as an example , the current closed price>EMA20 value and the current closed price >20th previous bar closed price( deduction price),
//it's defined as a lower level bull trend .If the current price EMA20>EMA60, it's defined as a higher level bull trend .If the EMA20>EMA60>EMA120,it's defined as the highest level bull trend.
//You can choose to draw the curve with the deviation rate of the original major indexes to 20EMA, or draw the deviation rate with the average value (default value is 5 bars).
//In addition, a more technical method is added to analyze the deviation changes of the major indexes.The deviation rate changing velocity value, parameter tan (abbreviated by t) of 1, 2, 5, 10 is introduced.
//You can have the option of calculate the tan using average value of 5 candlesticks or original value.
//Taking tan1 as an example, it indicates how much the deviation rate between the current price and the previous candlestick has changed.
//The indicator of the index color and the description of the trend quality color can be switched off in option.
//In addition, this code color scheme is only suitable for black background (the code color needs to be changed by yourself if you use white background).
Turtle N NormalizedSimple script that calculates the normalized value of N. Rules taken from an online PDF containing the original Turtle system:
"The Turtles used a volatility-based constant percentage risk position sizing algorithm. The Turtles used a concept that Richard Dennis and Bill Eckhardt called N to represent the underlying volatility of a particular market.
N is simply the 20-day exponential moving average of the True Range, which is now more commonly known as the ATR. Conceptually, N represents the average range in price movement that a particular market makes in a single day, accounting for opening gaps. N was measured in the same points as the underlying contract.
The Turtles built positions in pieces which we called Units. Units were sized so that 1 N represented 1% of the account equity. Thus, a unit for a given market or commodity can be calculated using the following formula:
Unit = 1% of Account/(N x Dollars per Point)"
To normalize the Unit formula, this script instead takes the value of (close/N). Dollars per point = 1 for stocks and crypto, but will change depending on the contract specifications for individual futures.
"Since the Turtles used the Unit as the base measure for position size, and since those units were volatility risk adjusted, the Unit was a measure of both the risk of a position, and of the entire portfolio of positions."
When the value of N is high, volatility is low and you should be more risk-on.
When the value of N is low, volatility is high and you should be more risk-off.
Donchian Channel Strategy [for free bot]
I present to you a script for testing the Donchian channel breakout strategy for the Binance_exchange.
This strategy is trending, and is especially effective for trading cryptocurrency futures.
This strategy is very flexible, and you can configure virtually all possible parameters, moreover, separately for longs and separately for shorts.
In the script, you can configure the parameters of the channel for entry and exit, the exit method, enable or disable purchases / sales, specify take profit and stop loss, and more.
On the example of optimization, only 20% of the deposit is used. This is done for diversification, since there are 37 contracts on binance_futures (at the time of writing the script description). That is, by optimizing the parameters for different currencies, you can very well reduce risks.
Представляю Вам скрипт для тестирования стратегии пробоя канала Дончиана для биржи Бинанс.
Данная стратегия относится к трендовым, и особенно эффективная на торговли криптовалютных фьючерсов.
Данная стратегия очень гибкая, и можно настроить фактически все возможные параметры, при чем, отдельно для покупок и отдельно для продаж.
В скрипте можно настроить параметры канала на вход и на выход, метод выхода, разрешить или запретить покупки/проаджи, указать тейк-профит и стоп-лосс и другое.
На примере оптимизации используется всего 20% от депозита. Это сделано для диверсификации, так как на фьючерсах бинансе присутсвует 37 контрактов (на момент написания описания скрипта). Т.е., оптимизировав параметры под разные валюты, можно очень хорошо снизить риски.
Noldo Blockchain Cryptocurrency Indicator
Hello, this script has the same logic as Noldo CFTC COT Forex Indicator :
And Noldo CFTC COT Commodities Indicator :
*
Script briefly calculates the period length between two signals of Pivot Reversal Strategy when new signal arrives and allows us to see relative Blockchain data and price changes of Major Cryptocurrencies over that automatic length.
This saves us from the hassle and time wasting of searching for a reference point.
Usage
This script works only on all Bitcoin / U.S Dollar pairs and futures.
It only works on 1W graphics.
ICOT data are pulled via Quandl
NOTE :
Since blockchain data is very votalile, 7-day ema values are adjusted to take into account.
Regards.
[Bitcoin] Lastbattle's nose pickerI've been working on a top and bottom picker script over the past couple of weeks, based on RSI of multiple timeframe closing price. It've been a pretty good trading system that's tested over the last meteoric rise from 220~270 and back down to 230 right now, and I think it should be released to the community.
Sure, I'm not worried about this strategy not working anymore after it is being used by the majority. Everyone have a different view of the market, and this is more towards psychology. It'll likely to hold for as long as there are still humans trading Bitcoins. Bitcoin market is full of emotions, you'll never run out of it.
So why does it work?
If you take a look at the live charts offered by Bitcoinwisdom and Cryptowatch, they only offer 1, 3, 5, and 15 minute timeframe by default with no other option to switch.
Naturally more traders will look at these levels for oversold and overbought condition.
The same indicator does not work for the broader commodities market such as Gold and Silver.
How does it work?
As long as the RSI levels of 1, 3, 5, and 15 minute fulfills the oversold/overbought level, a signal will be given.
The overbought/oversold level gets compensated the higher volatility the market is in.
Note: **
-This is only for exit strategy. If you're on long, consider reducing or exiting your position when it displays a red. On the other hand if you're short, consider reducing or covering your shorts if it shows a green.
-It may give false signal in a trending market, use your trading experience and judgement to filter them out. (eg: uptrend usually have more than 1 legs AND after a long consolidation, RSI gets to oversold/overbought easily... the market will tend to test the support/resistance again.)
-This is tuned for the 15m interval, the script won't work beyond this. I use it for scalping futures. Feel free to change or remove this line 'plot(interval == 15 and '
-Even if it shows a signal, it may not be the true top/bottom. Sometimes there may be a weak diverged leg aka 'last fart', so that's one reason I dont use this for entry until more confirmation is given via other indicators.
** If your chart is zooming all the way down to 0, right click on the price at the right and select 'Scale price only'
Go ahead and try this out with willy, etc and see what works better :D
Credits:
-LazyBear for the volatility switcher script
We Are Witnessing A Historical Event With A Clear Outcome!!!"Full Disclosure: I came across this information from www.SentimenTrader.com
I have no financial affiliation…They provide incredible statistical facts on
The General Market, Currencies, and Futures. They offer a two week free trial.
I Highly Recommend.
The S&P 500 has gone 43 trading days without a 1% daily move, up or down.
which is the equivalent of two months and one day in trading days.
During this stretch, the S&P has gained more than 4%,
and it has notched a 52-week high recently as well.
Since 1952, there were nine other precedents. All of
these went 42 trading days without a 1% move, all of
them saw the S&P gain at least 4% during their streaks,
and all of them saw the S&P close at a 52-week highs.
***There was consistent weakness a week later, with only three
gainers, and all below +0.5%.
***After that, stocks did better, often continuing an Extraordinary move higher.
Charts can sometimes give us a better nuance than
numbers from a table, and from the charts we can see a
general pattern -
***if stocks held up well in the following
weeks, then they tended to do extremely well in the
months ahead.
***If stocks started to stumble after this two-
month period of calm, however, then the following months
tended to show a lot more volatility.
We already know we're seeing an exceptional market
environment at the moment, going against a large number
of precedents that argued for weakness here, instead of
the rally we've seen. If we continue to head higher in
spite of everything, these precedents would suggest that
we're in the midst of something that could be TRULY EXTRAORDINARY.
Sentinel Nexus Dashboard [AGP] Ver.1.5Sentinel Nexus Dashboard is a versatile Pine Script designed as a comprehensive technical analysis tool. It condenses a variety of key indicators and metrics into a single, intuitive visual dashboard, providing an integrated view of market trends, momentum, volatility, and liquidity, all neatly organized on your TradingView chart.
Key Features and Benefits
All-in-One Dashboard: This script centralizes relevant information, offering a clean, efficient control panel that helps you make quick decisions without cluttering your chart with multiple overlays.
Trend Analysis with ADX: It incorporates the Average Directional Index (ADX) to measure trend strength. The dashboard displays ADX, DI+, and DI- values with dynamic color-coding to highlight trend intensity (e.g., blue for a very strong trend).
Momentum Analysis with MACD: The dashboard shows MACD line and signal line values in a table. The background color of the MACD values reflects the histogram's direction, allowing you to quickly identify crosses and shifts in market momentum.
Multi-Timeframe RSI Analysis: The RSI (Relative Strength Index) dashboard displays values across multiple timeframes (from 1 minute to 1 month). Overbought (77) and oversold (23) levels are color-coded for immediate identification of market conditions, making it an ideal tool for multi-timeframe analysis.
Smart and Dynamic Volume: The script uses a bar coloring algorithm based on average volume. Chart bars change color according to volume magnitude (extreme, high, average, or low) relative to the average, distinguishing between bullish and bearish bars. This helps you identify significant, liquidity-driven price movements.
Fair Value Analysis: The script calculates an asset's "fair value" using a noise filter (similar to a Kalman filter) on recent highs and lows to determine a midpoint. The price dashboard's background color changes to indicate if the current price is above or below this fair value.
Fibonacci EMA Analysis: A table displays several Exponential Moving Averages (EMAs) based on the Fibonacci sequence. The values are color-coded to show whether the current price is above (white) or below (orange) each EMA, helping you quickly identify dynamic support and resistance levels.
CME Futures Data Integration: For Bitcoin, the script can show a chart label with the Bitcoin futures price (CME:BTC1!), allowing you to compare the spot price with the CME futures market.
Potential Uses and Applications
The Sentinel Nexus Dashboard is an excellent support tool for trading. It is not a signal system but rather a suite of confirmation tools that can be used to:
Confirm Trend Strength: Before entering a trade, use the ADX data to ensure the trend has enough strength for your expected move.
Detect Reversal Points: Multi-timeframe RSI data can alert you to potential overbought or oversold conditions, indicating possible exhaustion of a price move.
Validate Price Movements: Bar coloring based on volume helps you determine if a price move is genuine and supported by strong market participation. High volume can confirm a breakout or reversal.
Identify Support and Resistance: The Fibonacci EMAs allow you to quickly visualize key levels where price might find support or resistance, aiding in planning entries and exits.
In short, this script is perfect for traders who want a comprehensive market overview without chart clutter. It efficiently integrates trend, momentum, and volume analysis in one place.
Legal Disclaimer
RISK WARNING:
This Pine Script is a technical analysis tool and should not be considered financial advice. Past performance of any indicator is no guarantee of future results. Trading in financial markets involves a high risk of loss and is not suitable for all investors. By using this indicator, you accept full responsibility for your trading decisions and acknowledge that any financial loss is your sole responsibility.
IMPORTANT:
Some script functions, such as the CME price label, may not work correctly if your TradingView subscription plan is not a paid one. Please check your plan's limitations to ensure the indicator's optimal functionality.
DNSE VN301!, ADX Momentum StrategyDiscover the tailored Pine Script for trading VN30F1M Futures Contracts intraday.
This strategy applies the Statistical Method (IQR) to break down the components of the ADX, calculating the threshold of "normal" momentum fluctuations in price to identify potential breakouts for entry and exit signals. The script automatically closes all positions by 14:30 to avoid overnight holdings.
www.tradingview.com
Settings & Backtest Results:
- Chart: 30-minute timeframe
- Initial capital: VND 100 million
- Position size: 4 contracts per trade (includes trading fees, excludes tax)
- Backtest period: Sep-2021 to Sep-2025
- Return: over 270% (with 5 ticks slippage)
- Trades executed: 1,000+
- Win rate: ~40%
- Profit factor: 1.2
Default Script Settings:
Calculates the acceleration of changes in the +DI and -DI components of the ADX, using IQR to define "normal" momentum fluctuations (adjustable via Lookback period).
Calculates the difference between each bar’s Open and Close prices, using IQR to define "normal" gaps (adjustable via Lookback period).
Entry & Exit Conditions:
Entry Long: Change in +DI or -DI > Avg IQR Value AND Close Price > Previous Close
Exit Long: (all 4 conditions must be met)
- Change in +DI or -DI > Avg IQR Value
- RSI < Previous RSI
- Close–Open Gap > Avg IQR Gap
- Close Price < Previous Close
Entry Short: Change in +DI or -DI > Avg IQR Value AND Close Price < Previous Close
Exit Short: (all 4 conditions must be met)
- Change in +DI or -DI > Avg IQR Value
- RSI > Previous RSI
- Close–Open Gap > Avg IQR Gap
- Close Price > Previous Close
Disclaimers:
Trading futures contracts carries a high degree of risk, and price movements can be highly volatile. This script is intended as a reference tool only. It should be used by individuals who fully understand futures trading, have assessed their own risk tolerance, and are knowledgeable about the strategy’s logic.
All investment decisions are the sole responsibility of the user. DNSE bears no liability for any potential losses incurred from applying this strategy in real trading. Past performance does not guarantee future results. Please contact us directly if you have specific questions about this script.
Deadband Hysteresis Filter [BackQuant]Deadband Hysteresis Filter
What this is
This tool builds a “debounced” price baseline that ignores small fluctuations and only reacts when price meaningfully departs from its recent path. It uses a deadband to define how much deviation matters and a hysteresis scheme to avoid rapid flip-flops around the decision boundary. The baseline’s slope provides a simple trend cue, used to color candles and to trigger up and down alerts.
Why deadband and hysteresis help
They filter micro noise so the baseline does not react to every tiny tick.
They stabilize state changes. Hysteresis means the rule to start moving is stricter than the rule to keep holding, which reduces whipsaw.
They produce a stepped, readable path that advances during sustained moves and stays flat during chop.
How it works (conceptual)
At each bar the script maintains a running baseline dbhf and compares it to the input price p .
Compute a base threshold baseTau using the selected mode (ATR, Percent, Ticks, or Points).
Build an enter band tauEnter = baseTau × Enter Mult and an exit band tauExit = baseTau × Exit Mult where typically Exit Mult < Enter Mult .
Let diff = p − dbhf .
If diff > +tauEnter , raise the baseline by response × (diff − tauEnter) .
If diff < −tauEnter , lower the baseline by response × (diff + tauEnter) .
Otherwise, hold the prior value.
Trend state is derived from slope: dbhf > dbhf → up trend, dbhf < dbhf → down trend.
Inputs and what they control
Threshold mode
ATR — baseTau = ATR(atrLen) × atrMult . Adapts to volatility. Useful when regimes change.
Percent — baseTau = |price| × pctThresh% . Scale-free across symbols of different prices.
Ticks — baseTau = syminfo.mintick × tickThresh . Good for futures where tick size matters.
Points — baseTau = ptsThresh . Fixed distance in price units.
Band multipliers and response
Enter Mult — outer band. Price must travel at least this far from the baseline before an update occurs. Larger values reject more noise but increase lag.
Exit Mult — inner band for hysteresis. Keep this smaller than Enter Mult to create a hold zone that resists small re-entries.
Response — step size when outside the enter band. Higher response tracks faster; lower response is smoother.
UI settings
Show Filtered Price — plots the baseline on price.
Paint candles — colors bars by the filtered slope using your long/short colors.
How it can be used
Trend qualifier — take entries only in the direction of the baseline slope and skip trades against it.
Debounced crossovers — use the baseline as a stabilized surrogate for price in moving-average or channel crossover rules.
Trailing logic — trail stops a small distance beyond the baseline so small pullbacks do not eject the trade.
Session aware filtering — widen Enter Mult or switch to ATR mode for volatile sessions; tighten in quiet sessions.
Parameter interactions and tuning
Enter Mult vs Response — both govern sensitivity. If you see too many flips, increase Enter Mult or reduce Response. If turns feel late, do the opposite.
Exit Mult — widening the gap between Enter and Exit expands the hold zone and reduces oscillation around the threshold.
Mode choice — ATR adapts automatically; Percent keeps behavior consistent across instruments; Ticks or Points are useful when you think in fixed increments.
Timeframe coupling — on higher timeframes you can often lower Enter Mult or raise Response because raw noise is already reduced.
Concrete starter recipes
General purpose — ATR mode, atrLen=14 , atrMult=1.0–1.5 , Enter=1.0 , Exit=0.5 , Response=0.20 . Balanced noise rejection and lag.
Choppy range filter — ATR mode, increase atrMult to 2.0, keep Response≈0.15 . Stronger suppression of micro-moves.
Fast intraday — Percent mode, pctThresh=0.1–0.3 , Enter=1.0 , Exit=0.4–0.6 , Response=0.30–0.40 . Quicker turns for scalping.
Futures ticks — Ticks mode, set tickThresh to a few spreads beyond typical noise; start with Enter=1.0 , Exit=0.5 , Response=0.25 .
Strengths
Clear, explainable logic with an explicit noise budget.
Multiple threshold modes so the same tool fits equities, futures, and crypto.
Built-in hysteresis that reduces flip-flop near the boundary.
Slope-based coloring and alerts that make state changes obvious in real time.
Limitations and notes
All filters add lag. Larger thresholds and smaller response trade faster reaction for fewer false turns.
Fixed Points or Ticks can under- or over-filter when volatility regime shifts. ATR adapts, but will also expand bands during spikes.
On extremely choppy symbols, even a well tuned band will step frequently. Widen Enter Mult or reduce Response if needed.
This is a chart study. It does not include commissions, slippage, funding, or gap risks.
Alerts
DBHF Up Slope — baseline turns from down to up on the latest bar.
DBHF Down Slope — baseline turns from up to down on the latest bar.
Implementation details worth knowing
Initialization sets the baseline to the first observed price to avoid a cold-start jump.
Slope is evaluated bar-to-bar. The up and down alerts check for a change of slope rather than raw price crossings.
Candle colors and the baseline plot share the same long/short palette with transparency applied to the line.
Practical workflow
Pick a mode that matches how you think about distance. ATR for volatility aware, Percent for scale-free, Ticks or Points for fixed increments.
Tune Enter Mult until the number of flips feels appropriate for your timeframe.
Set Exit Mult clearly below Enter Mult to create a real hold zone.
Adjust Response last to control “how fast” the baseline chases price once it decides to move.
Final thoughts
Deadband plus hysteresis gives you a principled way to “only care when it matters.” With a sensible threshold and response, the filter yields a stable, low-chop trend cue you can use directly for bias or plug into your own entries, exits, and risk rules.
Index Position Size Calculator for [US30 / US100 / SP500]What it does
This tool helps you size positions consistently for index trades on US30 (Dow Jones), NAS100 (Nasdaq-100), and SP500 (S&P 500). Enter your account balance, risk %, and your planned Entry / Stop-Loss / Target and the script calculates:
• Position Size (rounded to your lot/contract step)
• Risk-to-Reward (R/R)
• Potential P/L in USD based on your inputs
• Visual Entry / SL / TP lines with green/red zones and concise labels
Supported contract styles
Choose a preset for common products (e.g., CFD $1/pt, YM/NQ/ES futures, MYM/MNQ/MES micros) or override the economics yourself. You remain in control of the two key levers:
• $/point — how many dollars you gain/lose per 1 index point per contract/lot
• Point size — how many price units equal 1 index point on your chart (often 1.0, but some brokers use 0.1 or 0.5)
Inputs
• Account Balance ($) and Risk % per trade
• Index: US30 / NAS100 / SP500
• Contract: CFD / Futures (YM, NQ, ES) / Micros (MYM, MNQ, MES)
• $/point: auto from Contract or manual override
• Point size: auto from Index or manual override
• Position size step: rounding (e.g., 1 for futures, 0.01 for CFDs)
• Entry / SL / TP: typed values (snapped to tick), with on-chart zones and labels
• Display toggles for lines and labels
How the math works
• StopPoints = |Entry − SL| ÷ PointSize
• ProfitPoints = |TP − Entry| ÷ PointSize
• Position Size = (AccountBalance × Risk%) ÷ (StopPoints × $/point)
• R/R = ProfitPoints ÷ StopPoints
• Potential P/L = PositionSize × Points × $/point
How to use (quick start)
1. Select Index and Contract.
2. Confirm $/point and Point size match your broker’s specs.
3. Enter Entry / SL / TP for the trade idea.
4. Read the Position Size, R/R, and Potential P/L in the info box.
5. Adjust for fees, spreads, and slippage as needed.
Notes & limitations
• Broker symbols can vary. Always verify $/point and Point size for your instrument before risking capital.
• The script does not place orders and does not generate trade signals; it’s a sizing/visualization tool.
• Results can differ across brokers due to pricing, spreads, minimum lot sizes, and execution rules.
• Use on the intended indices; you’ll see a reminder if you load it elsewhere.
Changelog highlights
• Pine v6, constant-safe inputs, tick-snapping, global fills (no local-scope errors).
• Robust label handling and optional minimal chart markers.
Disclaimer
This script is provided for educational purposes only and does not constitute financial advice or a recommendation to buy or sell any security or derivative. Trading involves risk, including the possible loss of principal. Always do your own research, verify contract specifications with your broker, and consider testing in a demo environment before trading live.
Renko Open Range delta
Delta Renko-Style Indicator Guide (NQ Focus)
This indicator takes inspiration from the Renko Chart concept and is optimized for the RTH session (New York time zone), specifically applied to the Nasdaq futures (NQ) product.
If you’re unfamiliar with Renko charts, it may help to review their basics first, as this indicator borrows their clean, block-based perspective to simplify price interpretation.
⸻
🔧 How the Indicator Works
• At market open (9:30 AM EST), the indicator plots a horizontal open price line, referred to as 0 delta.
• From this anchor, it plots 10 incremental levels (deltas) both above and below the open, each spaced by 62.5 NQ points.
Why 62.5?
• With NQ currently trading in the 23,000–24,000 range, a 62.5-point move represents roughly 0.26% of the daily average range.
• This makes each delta step significant enough to capture movement while filtering out smaller noise.
A mini table (location adjustable) displays:
• Current delta zone
• Last touched delta level
This gives you a quick snapshot of where price sits relative to the open.
⸻
📈 How to Read the Market
• At the open, price typically oscillates between 0 and +1 / -1 delta.
• A break beyond this zone often signals stronger directional intent:
• Trending day: price can push into +2, +3, +4, +5 (or the inverse for downside).
• Range day: expect price to bounce between +1, 0, -1 deltas.
⚠️ Note: This is a visualization tool, not a trading system. Its purpose is to help you quickly recognize range vs. trend conditions.
⸻
📊 Example
• In this case, NQ reached +1 delta shortly after open.
• A retest of 0 delta followed, and price later surged to +5/+6 deltas (helped by Fed news).
⸻
🛠️ Practical Uses
This indicator can help you:
• Define profit targets
• Place hard stop levels
• Gauge whether a counter-trend trade is worth the risk
⚠️ Caution: Avoid counter-trend trades if price is aggressively pushing toward +5/+6 or -5/-6 deltas, as trend exhaustion usually hasn’t set in yet.
⸻
🔄 Adapting for ES (S&P Futures)
• On NQ, 62.5 points ≈ $1,250 per contract.
• For ES, this translates to 25 points.
• Since 1 NQ contract ≈ 2 ES contracts in dollar terms, an optimized ES delta step would be 12.5 points.
You may also experiment with different delta values (e.g., 50 or 31.25 for NQ) to align with your risk profile and trading style.
⸻
🧪 Extending Beyond NQ
You can experiment with applying this indicator to ES or even stocks, but non-futures assets may require additional calibration and testing.
⸻
✅ Bottom line: This tool provides a clean, Renko-inspired framework for quickly gauging trend vs. range conditions, setting realistic profit targets, and avoiding poor counter-trend setups.
VWAP-RSI Scalper FINAL v1Description
This script implements a robust, battle-tested intraday scalping strategy designed for prop firm challenges, funded trader programs, and serious futures scalpers.
It combines VWAP, RSI, EMA trend, and ATR-based risk management to capture high-probability mean reversion and momentum moves during the most liquid hours of the trading day.
Core Logic
RSI (Relative Strength Index):
Trades are triggered when the RSI is either oversold or overbought using a short lookback (default: 3). This ensures only the strongest intraday reversals or exhaustion moves are considered.
VWAP Filter:
Longs are only taken above VWAP, shorts only below VWAP, aligning trades with the session’s dominant bias.
EMA Filter:
Additional trend quality filter—longs require price above EMA, shorts below EMA.
Session Control:
Only trades between user-defined session hours (default: US cash session), eliminating overnight/illiquid action.
ATR-based Dynamic Stops & Targets:
Every trade uses a stop loss at 1x ATR and a take profit at 2x ATR for a positive risk/reward ratio.
Max Trades Per Day:
Prevents overtrading and controls risk exposure (default: 3).
Performance (Sample Backtest)
Profit Factor: 1.37+ (prop-firm quality)
Drawdown: <1% (very conservative risk)
Win Rate: 37–48% (RR > 1, so high edge)
Consistency: Smooth, steady equity curve over hundreds of trades.
Best For:
ES/NQ/CL/GC intraday traders
Prop firm evaluation challenges (Tradeify, Topstep, Apex, etc.)
Anyone needing robust, no-nonsense systematic edge for futures or indices.
How to Use & Tune
Apply to 3min, 5min, or 15min charts of liquid futures or indices.
Change parameters in the settings panel to suit your asset, volatility, or session hours.
Use “Strategy Tester” to validate P&L, win rate, and drawdown.
How to Optimize
Raise/lower RSI length or bands to make signals more/less frequent.
Adjust stop/target multiples for your preferred risk/reward profile.
Change session hours to match your broker or market.
Disclaimer
This is not financial advice. Use on a demo or sim account first. Results will vary by market, slippage, and execution speed. Past performance does not guarantee future results.
If you find this useful, please give it a like, follow for more strategies, and comment your results or questions!
Good luck and safe trading!
