BTC VIP EMA CROSS Buy/Sell (GC & DC)EMA cross 5&10 standard-setting with add on of BUY/SELL signal ( GC & DC) which will make the traders have an indication of buy and sell easily and clearly.
An exponential moving average strategy, or EMA strategy, is used to identify the predominant trend in the market. It can also provide the support and resistance level to execute your trade. Indicators: v4 (default setting), EMA 5 10 Crossover (default setting)
Preferred Time Frame(s):15-Minute, 30-Minute, 1-Hour, 4-Hour, 1-Day
Strategy
Long Entry Rules
Enter a buy in the market if the following indicator or chart pattern takes center stage:
If the blue upward pointing arrow of the EMA 5 10 Crossover custom indicator gets aligned just somewhat below the candlesticks as seen in Fig. 1.0, the market sentiment is said to be bullish, hence a trigger to go long on the pair of interest.
If the light blue line of the custom indicator gets outlined just below price bars as illustrated in Fig. 1.0, price is said to be pushed somewhat higher i.e. a trigger to buy the asset of focus.
Exit Strategy/Take Profit for Buy Entry
Exit or take profit if the following rules or conditions takes precedence:
If the red downward pointing arrow of the EMA 5 10 Crossover custom indicator forms above price bars as depicted in Fig. 1.0 while a buy signal is ongoing in the market, a possible price dip is said to be looming, as such an exit or take profit is advised.
If the red line of the custom indicator forms above the candlestick during a bullish trend, it is a pointer to a possible price dip, hence an exit or take profit is advised.
Pesquisar nos scripts por "A股+股票筛选器+10元以下"
Intrinsic value calculation Intrinsic value calculator based on Warren Buffet's and Ben Graham's work
In value investing determing the true value of a COMPANY instead of a stock price is crucial.
This little indicator shows the "Intrinsic value" of the choosen stock meaning the value of the stock in 10 years time. Calculation is based on historical book value's average annual growth rate and dividends paid.
Since this is about long therm investing, use monthly charts.
"Intrinsic value can be defined simply: It is the discounted value of the cash that can be taken out of a business during its remaining life.”
– Warren Buffett
One way to calculate that is by the growth in per share book value and dividends taken in the forseeable future (10 years) than discount it with the prevailing 10 year note's rate.
In the inputs you have to set 2 variables:
1. How many years back you have the first data for book value per share available?
2. What was the per share book value that year?
(Bookvalue is ploted in olive colour and you can get the oldest one if you move your cursor over the latest data on the left)
CAUTION! You have to reenter it for every stock you analyse as this is stock-specific data!
After setting the input data, you will see the "Intrinsic Value"'s pink curve ploted over the price chart.
If the price is well below the pink line, the company is undervalued and can be a possible applicant for long therm investment.
Margin of safety: when the current price is 50% below the intrinsic value that means a 10% yearly growth potential (100% growth in 10 years) or a 100% margin of safety.
I am a beginer in Pine so please excuse my coding...
If anybody knows hot to extract historical data from 15 years ago, please share it with me, so I can automate the whole calculation without inputs necessary.
M-OscillatorM-Oscillator developed By Mohamed Fawzy, MFTA, CFTe
as Written in IFTA Journal 2018 Edition
more info : ifta.org
Interpretation
• M-Oscillator is a bounded oscillator that moves between (-14) and (+14),
• Movement above 10 is considered overbought, and movement below -10 is oversold.
Overbought/Oversold rule:
• Buy when the M-Oscillator violates the (-10) level to the downside and crosses back to the upside.
• Sell when the M-Oscillator crosses above the (+10) level and crosses back to the downside.
Crossover on Extreme Levels
• Sell signals are triggered when the M-Oscillator crosses its signal line above (13), which indicates an extreme market condition
• Buy signals are triggered when the M-Oscillator crosses its signal line below (- 13)
2-Period RSI strategy (with filter)2-period RSI strategy backtest described in several books of the trader Larry Connors . This strategy uses a 2 periods RSI , one slow arithmetic moving average and one fast arithmetic moving average.
Entry signal:
- RSI 2 value below oversold level (Larry Connors usually sets oversold to be below 5, but other authors prefer to work below 10 due to the higher number of signals).
- Closing above the slow average (200 periods).
- Entry at closing of candle or opening of next candle.
Exit signal:
- Occurs when the candlestick closes above the fast average (the most common fast average is 5 periods, but some traders also suggest the 10 period average).
Entry Filter (modification made by me):
- Applied an RSI2 arithmetic moving average to smooth out oscillations.
- Entered only when RSI2 is below oversold level and RSI2 moving average is below 30.
* NOTE: In the stocks that I evaluate daily the averages of 4 and 6 periods work very well as a filter.
Comments:
This strategy works very well in Daily charts but can be applied in other chart times as well. As this is a strategy to catch market fluctuations, it presents different results with different stocks.
I have been applying this strategy to the stocks of the Brazilian market (BOVESPA) and have enjoyed the result. Every day I evaluate the stocks that are generating entry signals and choose which one to trade based on the stocks with the highest Profit Value.
The RSI 2 averaging filter probably will reduce profit of the backtests because reduces the number of signals, but the Profit Value will usually increase. For me this was a good thing because without the filter, this strategy usually shows more signals than I have capital to allocate.
Before entering a trade I look at which fast average the paper has the highest Profit Value and then I use this average as my output signal for that trade (this change has greatly improved the result of the outputs).
This strategy does not use Stop Loss because normally Stop Loss decreases effectiveness (profit). In any case, the option to apply a percentage Stop Loss if desired is added in the script. As the strategy does not use stop, extra caution with risk management is advisable. I advise not to allocate more than 20% of the trade capital in the same operation.
I'm still studying ways to improve this strategy, but so far this is the best setup I've found. Suggestions are always welcome and we can test to see if they improve the backtest result.
Good luck and good trades.
================================================
Backtest das estratégia do IFR de 2 períodos descrita em varios livros do trader Larry Connors . Esta estratégia usa um IFR de 2 períodos, uma média movel aritmética lenta e uma média movel aritmética rápida.
Sinal de entrada:
- Valor do IFR 2 abaixo do nível de sobrevenda (Larry Connors usualmente define sobrevenda sendo abaixo de 5, mas outros autores preferem trabalhar abaixo de 10 devido ao maior número de sinais).
- Fechamento acima da média lenta (200 períodos).
- Realizado a compra no fechamento do candle ou na abertura do candle seguinte.
Sinal de saída:
- Ocorre quando o candle fecha acima da média rápida (a média rápida mais comum é a de 5 períodos, mas alguns traders sugerem também a média de 10 períodos).
Filtro para entrada (modificação feita por mim):
- Aplicado uma média móvel aritmética do IFR2 para suavisar as oscilações.
- Realizado a entrada apenas quando o IFR2 está abaixo do nível de sobrevenda e a média móvel do IFR2 está abaixo de 30.
*OBS: nos ativos que avalio diariamente as médias de 4 e 6 períodos funcionam muito bem como filtro.
Comentários:
Esta estratégia funciona muito bem no tempo gráfico Diário mas pode ser aplicada tambem em outros tempos gráficos. Como trata-se de uma estratégia para pegar oscilações do mercado, ela apresenta diferentes resultados com diferentes ativos.
Eu venho aplicando esta estratégia nos ativos do mercado brasileiro (BOVESPA) e tenho gostado do resultado. Diariamente eu avalio os papeis que estão gerando entrada e escolho qual irei realizar o trade baseado nos papeis que apresentam maior Profit Value.
O filtro da média do IFR 2 reduz o lucro nos backtests pois reduz também a quantidade de sinais, mas em compensação o Profit Value irá normalmente aumentar. Para mim isto foi algo positivo pois, sem o filtro, normalmente esta estratégia apresenta mais sinais do que possuo capital para alocar.
Antes de entrar em um trade eu olho em qual média rápida o papel apresenta maior Profit Value e então eu utilizo está média como meu sinal de saída para aquele trade (esta mudança tem melhorado bastante o resultado das saídas).
Está estratégia não utiliza Stop Loss pois normalmente o Stop Loss diminui a eficácia (lucro). De qualquer maneira, foi acrescentado no script a opção de aplicar um Stop Loss percentual caso seja desejado. Como a estratégia não utiliza stop é aconselhável um cuidado redobrado com o gerenciamento de risco. Eu aconselho não alocar mais de 20% do capital de trade em uma mesma operação.
Ainda estou estudando formas de melhorar esta estratégia, mas até o momento está é a melhor configuração que encontrei. Sugestões são sempre bem vindas e podemos testar para verificar se melhoram o resultado do backtest.
Boa sorte e bons trades.
Pinescript v3 Compatibility Framework (v4 Migration Tool)Pinescript v3 Compatibility Framework (v4 Migration Tool)
This code makes most v3 scripts work in v4 with only a few minor changes below. Place the framework code before the first input statement.
You can totally delete all comments.
Pros:
- to port to v4 you only need to make a few simple changes, not affecting the core v3 code functionality
Cons:
- without #include - large redundant code block, but can be reduced as needed
- no proper syntax highlighting, intellisence for substitute constant names
Make the following changes in v3 script:
1. standard types can't be var names, color_transp can't be in a function, rename in v3 script:
color() => color.new()
bool => bool_
integer => integer_
float => float_
string => string_
2. init na requires explicit type declaration
float a = na
color col = na
3. persistent var init (optional):
s = na
s := nz(s , s) // or s := na(s ) ? 0 : s
// can be replaced with var s
var s = 0
s := s + 1
___________________________________________________________
Key features of Pinescript v4 (FYI):
1. optional explicit type declaration/conversion (you still can't cast series to int)
float s
2. persistent var modifier
var s
var float s
3. string series - persistent strings now can be used in cond and output to screen dynamically
4. label and line objects
- can be dynamically created, deleted, modified using get/set functions, moved before/after the current bar
- can be in if or a function unlike plot
- max limit: 50-55 label, and 50-55 line drawing objects in addition to already existing plots - both not affected by max plot outputs 64
- can only be used in the main chart
- can serve as the only output function - at least one is required: plot, barcolor, line, label etc.
- dynamic var values (including strings) can be output to screen as text using label.new and to_string
str = close >= open ? "up" : "down"
label.new(bar_index, high, text=str)
col = close >= open ? color.green : color.red
label.new(bar_index, na, "close = " + tostring(close), color=col, textcolor=color.white, style=label.style_labeldown, yloc=yloc.abovebar)
// create new objects, delete old ones
l = line.new(bar_index, high, bar_index , low , width=4)
line.delete(l )
// free object buffer by deleting old objects first, then create new ones
var l = na
line.delete(l)
l = line.new(bar_index, high, bar_index , low , width=4)
Turtle Trade Channels by KıvanÇ fr3762his trend following system was designed by Dennis Gartman and Bill Eckhart, and relies on breakouts of historical highs and lows to take and close trades: it is the complete opposite to the "buy low and sell high" approach. This trend following system was taught to a group of average and normal individuals, and almost everyone turned into a profitable trader.
The main rule is "Trade an N-day breakout and take profits when an M-day high or low is breached (N must me above M)". Examples:
Buy a 10-day breakout and close the trade when price action reaches a 5-day low.
Go short a 20-day breakout and close the trade when price action reaches a 10-day high.
In this indicator, the red line is the trading line, and the dotted blue line is the exit line. Original system is:
Go long when the trading line crosses below close price
Go short when the trading line rosses above close price
Exit long positions when the price touches the exit line
Exit short positions when the price touches the exit line
Recommended initial stop-loss is ATR * 2 from the opening price. Default system parameters were 20,10 and 55,20.
Original Turtle Rules:
To trade exactly like the turtles did, you need to set up two indicators representing the main and the failsafe system.
Set up the main indicator with TradePeriod = 20 and StopPeriod = 10 (A.k.a S1)
Set up the failsafe indicator with TradePeriod = 55 and StopPeriod = 20 using a different color. (A.k.a S2)
The entry strategy using S1 is as follows
Buy 20-day breakouts using S1 only if last signaled trade was a loss.
Sell 20-day breakouts using S1 only if last signaled trade was a loss.
If last signaled trade by S1 was a win, you shouldn't trade -Irregardless of the direction or if you traded last signal it or not-
The entry strategy using S2 is as follows:
Buy 55-day breakouts only if you ignored last S1 signal and the market is rallying without you
Sell 55-day breakouts only if you ignored last S1 signal and the market is pluging without you
The turtles had a progressive position sizing approach that boosted their winnings. Once a trading decision has been made you should...
Developers: Dennis Gartman and Bill Eckhart
İndikatörü geliştiren: Dennis Gartman and Bill Eckhart
Amazing Crossover System - 100+ pips per day!I got the main concept for this system on another site. While I have made one important change, I must stress that the heart of this system was created by someone else! We must give credit where credit is due!
Y'all know baby pips. @ForexPhantom published about this system and did both back and forward test around 10 years ago.
I found it on the sit and now I put it to code to see how it performs. I assume 10 points spread for every trade. I use Renesource or AxiTrader to get the low spreads.
There are 2 mods, the single trades and constant trading on the direction.
Main concept
Indicators
5 EMA -- YELLOW
10 EMA -- RED
RSI (10 - Apply to Median Price: HL/2) -- One level at 50.
TIME FRAME
1 Hour Only (very important!)
PAIRS
Virtually any pair seems to work as this is strictly technical analysis.
I recommend sticking to the main currencies and avoiding cross currencies (just his preference).
WHEN TO ENTER A TRADE
Enter LONG when the Yellow EMA crosses the Red EMA from underneath.
RSI must be approaching 50 from the BOTTOM and cross 50 to warrant entry.
Enter SHORT when the Yellow EMA crosses the Red EMA from the top.
RSI must be approaching 50 from the TOP and cross 50 to warrant entry.
I've attached a picture which demonstrates all these conditions.
That's it!
f.bpcdn.co
Trend Score by KIVANÇ fr3762Trend Score compares close prices between last close with previous closes by a certain period of time.
It's like momentum but gives a score +1 when close price is equal to or above (defaultly) 10 bars ago and gives a score of -1 when below.
calculation continues from default length to the 2 times of length.
Defaultly (for 10 bars length)
If Trend Score converges to 10; that means there's a strong uptrend
conversely if Trend Score converges to -10; that means a strong downtrend market is on.
JSE Wyckoff Wave Volume Code// The Stock Market Institute (SMI) describes an propriety indicator the "SMI Wyckoff Wave" for US Stocks. This code is an attempt to make a Wyckoff Wave for the Johannesburg Stock Exchange (JSE).
// The JSE Wyckoff Wave is in a separate code. This is the code for the volume of the wave. Please see code for the JSE Wyckoff Wave which goes with this indicator.
//
// The Wave presents a normalized price for the 10 selected stocks (An Index for the 10 stocks).
// The theory is to select stocks that are widely held, market leaders, actively traded and participate in important market moves.
// This is only my attempt to select 10 stocks and a different selection can be made.
// I am not certain how SMI determine their weightings but what I have done it to equalize the Rand value of the stock volumne so that moves are of equal magnitude.
// The then provides a view of the overall condition of the market and volume flow in the market.
//
// I have used the September 2018 price to normalize the stock price for the 10 selected stocks based. The stocks and weightings can be changed periodically depending on the performance and leadership.
//
// Please, let me know if there is a better work around this.
The stocks and their weightings are:
"JSE:BTI"/0.79
"JSE:SHP"/2.87
"JSE:NPN"/0.18
"JSE:AGL"/1.96
"JSE:SOL"/1.0
"JSE:CFR"/4.42
"JSE:MND"/1.40
"JSE:MTN"/7.63
"JSE:SLM"/7.29
"JSE:FSR"/8.25
JSE Wyckoff WaveThe Stock Market Institute (SMI) describes an propriety indicator the "SMI Wyckoff Wave" for US Stocks. This code is an attempt to make a Wyckoff Wave for the Johannesburg Stock Exchange (JSE). Once the wave has been established the volume can also be calculated. Please see code for the JSE Wyckoff Wave Volume which goes with this indicator.
The Wave presents a normalized price for the 10 selected stocks (An Index for the 10 stocks). The theory is to select stocks that are widely held, market leaders, actively traded and participate in important market moves. This is only my attempt to select 10 stocks and a different selection can be made. I am not certain how SMI determine their weightings but what I have done it to equalize the Rand value of the stock so that moves are of equal magnitude. The then provides a view of the overall condition of the market and volume flow in the market.
I have used the September 2018 price to normalize the stock price for the 10 selected stocks based. The stocks and weightings can be changed periodically depending on the performance and leadership.
Most Indecies when constructed assume that all high prices and all low prices happen at the same time and therefor inflate the wicks of the bars. To make the wave more representatives for the SMI Wyckoff Wave the price is determined on the 5 minute timeframe which removes this bias. However, TradingView does not calculate properly when selecting a lower timeframe than in current period. A work around is to call the sma of the highs and add these which provides more realistic tails. Please, let me know if there is a better work around this.
The stocks and their weightings are:
"JSE:BTI"*0.79
"JSE:SHP"*2.87
"JSE:NPN"*0.18
"JSE:AGL"*1.96
"JSE:SOL"*1.0
"JSE:CFR"*4.42
"JSE:MND"*1.40
"JSE:MTN"*7.63
"JSE:SLM"*7.29
"JSE:FSR"*8.25
OHLC Daily Resolution BandsShout out to nPE- for the idea.
Bands made with stdev from 10 day OHLC.
Keeps resolution to daily, so you can use bands as daily pivots for day trading.
Upper band 1=yesterday close + 0.5 std(ohlc,10)
Upper band 1=yesterday close + 1 std(ohlc,10)
Mid=yesterday close
Lower band 1=yesterday close - 0.5 std(ohlc,10)
Lower band 2=yesterday close - 1 std(ohlc,1
XPloRR MA-Buy ATR-Trailing-Stop Long Term Strategy Beating B&HXPloRR MA-Buy ATR-MA-Trailing-Stop Strategy
Long term MA Trailing Stop strategy to beat Buy&Hold strategy
None of the strategies that I tested can beat the long term Buy&Hold strategy. That's the reason why I wrote this strategy.
Purpose: beat Buy&Hold strategy with around 10 trades. 100% capitalize sold trade into new trade.
My buy strategy is triggered by the EMA(blue) crossing over the SMA curve(orange).
My sell strategy is triggered by another EMA(lime) of the close value crossing the trailing stop(green) value.
The trailing stop value(green) is set to a multiple of the ATR(15) value.
ATR(15) is the SMA(15) value of the difference between high and low values.
Every stock has it's own "DNA", so first thing to do is find the right parameters to get the best strategy values voor EMA, SMA and Trailing Stop.
Then keep using these parameter for future buy/sell signals only for that particular stock.
Do the same for other stocks.
Here are the parameters:
Exponential MA: buy trigger when crossing over the SMA value (use values between 11-50)
Simple MA: buy trigger when EMA crosses over the SMA value (use values between 20 and 200)
Stop EMA: sell trigger when Stop EMA of close value crosses under the trailing stop value (use values between 8 and 16)
Trailing Stop #ATR: defines the trailing stop value as a multiple of the ATR(15) value
Example parameters for different stocks (Start capital: 1000, Order=100% of equity, Period 1/1/2005 to now):
BAR(Barco): EMA=11, SMA=82, StopEMA=12, Stop#ATR=9
Buy&HoldProfit: 45.82%, NetProfit: 294.7%, #Trades:8, %Profit:62.5%, ProfitFactor: 12.539
AAPL(Apple): EMA=12, SMA=45, StopEMA=12, Stop#ATR=6
Buy&HoldProfit: 2925.86%, NetProfit: 4035.92%, #Trades:10, %Profit:60%, ProfitFactor: 6.36
BEKB(Bekaert): EMA=12, SMA=42, StopEMA=12, Stop#ATR=7
Buy&HoldProfit: 81.11%, NetProfit: 521.37%, #Trades:10, %Profit:60%, ProfitFactor: 2.617
SOLB(Solvay): EMA=12, SMA=63, StopEMA=11, Stop#ATR=8
Buy&HoldProfit: 43.61%, NetProfit: 151.4%, #Trades:8, %Profit:75%, ProfitFactor: 3.794
PHIA(Philips): EMA=11, SMA=80, StopEMA=8, Stop#ATR=10
Buy&HoldProfit: 56.79%, NetProfit: 198.46%, #Trades:6, %Profit:83.33%, ProfitFactor: 23.07
I am very curious to see the parameters for your stocks and please make suggestions to improve this strategy.
Mattzab ArrowsMattzab Arrows
THE BASICS
Buy and Sell Signal Arrows
Tack Marks to show how close the next opposite arrow might be- showing possible trend reversals
Standard Bollinger Bands
10-Day SMA Line
Configurable
Open Source
THE NITTY GRITTY
For starters, all values listed below can be changed in the settings. Length of time, as well as source, can be changed. For the Hidden EMA, this can be made visible by increasing its transparency.
ARROWS
The buy and sell signal arrows are based on price and MACD histogram.
The MACD settings are as follows: 10 day fast EMA , 20 day slow EMA , 5 day SMA signal smoothing. Instead of close price, we are using the average point of the day's high, low, and close.
For the arrows, current price and yesterday's price are using hl2 for high/low average.
A BUY arrow is created when:
Current Price IS GREATER THAN Previous Price _AND_ Current MACD Histogram IS GREATER THAN Previous MACD Histogram.
Important Note! Because the MACD Histogram repaints, the buy arrows may appear, then disappear later in the day, if the MACD changes. Check on the changelog to see if I've fixed it by the time you're reading this. (TradingView doesn't let you edit the description after it's been posted)
A SELL arrow is created when:
Current Price IS LESS THAN Previous Price _AND_ Current MACD Histogram IS LESS THAN Yesterday's MACD Histogram _AND_ Close Price is below _EITHER_ the Hidden EMA (default set to 4) _OR_ the Visible SMA (Default set to 10, which is the black line).
The hidden EMA can be made visible by increasing it's transparency in the Style tab.
Including the requirement to only sell if the standard conditions are met, PLUS being below one of those moving average lines, helps to prevent false sell arrows and repainting.
TACK MARKS
The Red Tack is the threshold, or barrier, for the next arrow. It will not move. It is based on previous High/Low/Close Price + MACD.
The Blue Tack is the current point in space for our average Price and MACD Delta Values. It will move throughout the day (or hour or minute depending on your resolution). The Blue Tack will give you an indication of how close or how far from the reversal threshold (Red Tack) the ticker is at that point.
While the Blue Tack is ABOVE Red, the most recent signal arrow will be a buy, and we are in a buy/hold period.
While the Blue Tack is BELOW Red, the most recent signal arrow will be a sell, and we are in a sell/wait period.
If the Blue Tack crosses above or below Red, you'll get the next arrow.
MOVING AVERAGE LINES
There are three moving average lines in this indicator.
The first is black, and is by default a 10-Day Simple Moving Average Line.
This black line is a good safeguard against selling too early. This is a good support line and that's how I use it.
The second is invisible, but can be made visible in the Styling, and is by default a 4-Day Exponential Moving Average Line
The third is the blue 20-Day Bollinger Band line.
BOLLINGER BANDS
The Bollinger Bands are unmodified and are just a background indicator for your use. If you prefer not to see the Bollinger Bands , change their transparency to 0% to hide them. I've cleaned up the Bollinger Bands to make the indicator as a whole- easier on the eyes.
Please leave feedback on how the script works for you, if you run into problems, if you have any changes you'd like to see, etc.
MACDouble + RSI (rec. 15min-2hr intrv) Uses two sets of MACD plus an RSI to either long or short. All three indicators trigger buy/sell as one (ie it's not 'IF MACD1 OR MACD2 OR RSI > 1 = buy", its more like "IF 1 AND 2 AND RSI=buy", all 3 match required for trigger)
The MACD inputs should be tweaked depending on timeframe and what you are trading. If you are doing 1, 3, 5 min or real frequent trading then 21/44/20 and 32/66/29 or other high value MACDs should be considered. If you are doing longer intervals like 2, 3, 4hr then consider 9/19/9 and 21/44/20 for MACDs (experiment! I picked these example #s randomly).
Ideal usage for the MACD sets is to have MACD2 inputs at around 1.5x, 2x, or 3x MACD1's inputs.
Other settings to consider: try having fastlength1=macdlength1 and then (fastlength2 = macdlength2 - 2). Like 10/26/10 and 23/48/20. This seems to increase net profit since it is more likely to trigger before major price moves, but may decrease profitable trade %. Conversely, consider FL1=MCDL1 and FL2 = MCDL2 + (FL2 * 0.5). Example: 10/26/10 and 22/48/30 this can increase profitable trade %, though may cost some net profit.
Feel free to message me with suggestions or questions.
Kay_BBandsV3This is the 3rd version of Kay_BBands.
When +DI (Directional Index ) is above -DI , then Upper band will be visible and vice-versa.
This is when the ADX is above the threshold. 28 is the default in this version. I found its more appealing in 5M time frame.
BLUE - ADX under 10
GREEN - Uptrend, ADX over 10
RED - Downtrend, ADX over 10
Use it with another band with setting 20, 0.6 deviation. Prices keeping above or below the 2nd bands upper or lower bounds shows trending conditions.
I didn't know how to update the old script so published it again.
Changes - :
1) Updated default settings for the indicator
2) ADX setting are now DI (28), ADX (10), adx level to check is 10.
3) IMPORTANT one - When DI is up/down, lower/upper band will also have color (more visible that way.)
Play around the settings.. It really eliminates extra indicator checking visually... Please like if you think idea is good.
CM Renko Overlay BarsCM_Renko Overlay Bars V1
Overlays Renko Bars on Regular Price Bars.
Default Renko plot is based on Average True Range. Look Back period adjustable in Inputs Tab.
If you Choose to use "Traditional" Renko bars and pick the Size of the Renko Bars the please read below.
Value in Input Tab is multiplied by .001 (To work on Forex)
1 = 10 pips on EURUSD - 1 X .001 = .001 or 10 Pips
10 = .01 or 100 Pips
1000 = 1 point to the left of decimal. 1 Point in Stocks etc.
10000 = 10 Points on Stocks etc.
***V2 will fix this issue.
Custom Indicator - No Trade Zone Warning Back Ground Highlights!Years ago I did an analysis of my trades. Every period of the day was profitable except for two. From 10:00-1030, and 1:00 to 1:30. (I was actively Day Trading Futures) Imagine a vertical graph broken down in to 30 minute time segments. I had nice Green bars in every time slot (Showing Net Profits), and HUGE Red Bars from 10 to 10:30 and 1 to 1:30. After analysis I found I made consistent profits at session open, but then I would enter in to bad setups around 10 to make more money. I also found after I took lunch when I came back at 1:00 I would force trades instead of patiently waiting for a great trade setup. I created an indicator that plotted a red background around those times telling me I was not allowed to enter a trade. Profits went up!!! Details on How to adjust times are in 1st Post. You can adjust times and colors to meet your own trading needs.
Gold Correlation Dashboard + Alerts [XAUUSD Helper]這是一個專為黃金 (XAUUSD) 交易者設計的 **跨市分析儀表板 (Intermarket Correlation Dashboard)**。
這個指標的核心邏輯基於基本面與資金流向，協助交易者在 10 秒內快速判斷黃金的當前趨勢。它自動監控與黃金高度負相關的資產（美元、美債、日圓），並在圖表上直接顯示多空傾向。
### 📊 監控資產與邏輯
本腳本即時抓取以下關鍵市場數據，並分析其對黃金的影響：
1. **DXY (美元指數)**：黃金最大競爭對手。
- DXY 跌 📉 → 黃金偏多
- DXY 漲 📈 → 黃金偏空
2. **US10Y (10年期美債殖利率)**：黃金的持有成本指標。
- 殖利率跌 📉 → 黃金偏多
- 殖利率漲 📈 → 黃金偏空
3. **USDJPY (美日)** & **USDCHF (美瑞)**：避險資金流向參考。
- 匯率跌 (日圓/瑞郎強) 📉 → 黃金偏多
4. **VIX (恐慌指數)**：市場情緒指標。
- VIX 飆升 📈 → 黃金通常受惠 (避險屬性)
### 🚀 主要功能
1. **即時儀表板**：無需切換視窗，直接在黃金圖表角落查看所有關鍵資產的漲跌狀態。
2. **智能信號總結**：
- 系統會自動計算 **DXY + US10Y + USDJPY** 的綜合方向。
- 當這三大核心指標方向一致時，系統會顯示 **★ STRONG BUY (強力做多)** 或 **★ STRONG SELL (強力做空)**。
- 根據歷史經驗，當這三者同步時，趨勢準確度極高。
3. **警報系統 (Alerts)**：
- 內建警報功能，當出現「強力做多」或「強力做空」信號時，可設定推播通知，不錯過進場機會。
### ⚙️ 如何使用
- 將此指標加載到 XAUUSD (黃金) 的圖表上。
- 建議搭配 H1, H4 或 Daily 時框使用。
- **綠色背景** = 利多黃金 (Bullish)
- **紅色背景** = 利空黃金 (Bearish)
---
*免責聲明：此腳本僅供輔助分析與教育用途，不構成任何投資建議。交易請做好風險控管。*
**Gold (XAUUSD) Intermarket Correlation Dashboard & Alerts**
This indicator is designed for Gold traders who want to combine Technical Analysis with **Fundamental Intermarket Analysis**. It provides a real-time dashboard overlay that monitors key assets highly correlated with XAUUSD.
According to market logic, Gold is heavily influenced by the US Dollar (DXY), US Treasury Yields (US10Y), and global risk sentiment (USDJPY/VIX). This script helps you spot the trend in seconds.
### 📊 Monitored Assets & Logic
The dashboard tracks the real-time direction of the following assets and calculates their impact on Gold:
1. **DXY (US Dollar Index)**: Inverse correlation.
* DXY ↓ = Bullish for Gold
* DXY ↑ = Bearish for Gold
2. **US10Y (US 10-Year Treasury Yield)**: Inverse correlation (Cost of Holding).
* Yields ↓ = Bullish for Gold
* Yields ↑ = Bearish for Gold
3. **USDJPY & USDCHF**: Risk sentiment and currency flow.
* Pair ↓ (Strong JPY/CHF) = Bullish for Gold
4. **VIX (Volatility Index)**: Fear gauge.
* VIX ↑ = Generally Bullish for Gold (Safe Haven demand)
### 🚀 Key Features
**1. Real-Time Dashboard**
View the status of all 5 key assets directly on your XAUUSD chart without switching tabs. The dashboard indicates the "Gold Bias" (Bullish/Bearish) for each asset based on the current timeframe.
**2. Smart Bias Signal ("The 3-Storyline Confirmation")**
The script automatically analyzes the three most critical indicators: **DXY, US10Y, and USDJPY**.
* **★ STRONG BUY ★**: When DXY, US10Y, and USDJPY are **ALL Falling** simultaneously. (High probability setup).
* **★ STRONG SELL ★**: When DXY, US10Y, and USDJPY are **ALL Rising** simultaneously.
**3. Integrated Alerts**
Never miss a setup. You can set alerts to notify you immediately when the "Strong Buy" or "Strong Sell" conditions are met.
### ⚙️ How to Use
1. Add this script to your XAUUSD chart.
2. Works best on H1, H4, or Daily timeframes.
3. Look for the **Summary Row** at the bottom of the dashboard:
* **Green (Strong Buy)**: Look for Long entries.
* **Red (Strong Sell)**: Look for Short entries.
---
*Disclaimer: This script is for educational and informational purposes only. It does not constitute financial advice. Always manage your risk.*
Pair Cointegration & Static Beta Analyzer (v6)Pair Cointegration & Static Beta Analyzer (v6)
This indicator evaluates whether two instruments exhibit statistical properties consistent with cointegration and tradable mean reversion.
It uses long-term beta estimation, spread standardization, AR(1) dynamics, drift stability, tail distribution analysis, and a multi-factor scoring model.
1. Static Beta and Spread Construction
A long-horizon static beta is estimated using covariance and variance of log-returns.
This beta does not update on every bar and is used throughout the entire model.
Beta = Cov(r1, r2) / Var(r2)
Spread = PriceA - Beta * PriceB
This “frozen” beta provides structural stability and avoids rolling noise in spread construction.
2. Correlation Check
Log-price correlation ensures the instruments move together over time.
Correlation ≥ 0.85 is required before deeper cointegration diagnostics are considered meaningful.
3. Z-Score Normalization and Distribution Behavior
The spread is standardized:
Z = (Spread - MA(Spread)) / Std(Spread)
The following statistical properties are examined:
Z-Mean: Should be close to zero in a stationary process
Z-Variance: Measures amplitude of deviations
Tail Probability: Frequency of |Z| being larger than a threshold (e.g. 2)
These metrics reveal whether the spread behaves like a mean-reverting equilibrium.
4. Mean Drift Stability
A rolling mean of the spread is examined.
If the rolling mean drifts excessively, the spread may not represent a stable long-term equilibrium.
A normalized drift ratio is used:
Mean Drift Ratio = Range( RollingMean(Spread) ) / Std(Spread)
Low drift indicates stable long-run equilibrium behavior.
5. AR(1) Dynamics and Half-Life
An AR(1) model approximates mean reversion:
Spread(t) = Phi * Spread(t-1) + error
Mean reversion requires:
0 < Phi < 1
Half-life of reversion:
Half-life = -ln(2) / ln(Phi)
Valid half-life for 10-minute bars typically falls between 3 and 80 bars.
6. Composite Scoring Model (0–100)
A multi-factor weighted scoring system is applied:
Component Score
Correlation 0–20
Z-Mean 0–15
Z-Variance 0–10
Tail Probability 0–10
Mean Drift 0–15
AR(1) Phi 0–15
Half-Life 0–15
Score interpretation:
70–100: Strong Cointegration Quality
40–70: Moderate
0–40: Weak
A pair is classified as cointegrated when:
Total Score ≥ Threshold (default = 70)
7. Main Cointegration Panel
Displays:
Static beta
Log-price correlation
Z-Mean, Z-Variance, Tail Probability
Drift Ratio
AR(1) Phi and Half-life
Composite score
Overall cointegration assessment
8. Beta Hedge Position Sizing (Average-Price Based)
To provide a more stable hedge ratio, hedge sizing is computed using average prices, not instantaneous prices:
AvgPriceA = SMA(PriceA, N)
AvgPriceB = SMA(PriceB, N)
Required B per 1 A = Beta * (AvgPriceA / AvgPriceB)
Using averaged prices results in a smoother, more reliable hedge ratio, reducing noise from bar-to-bar volatility.
The panel displays:
Required B security for 1 A security (average)
This represents the beta-neutral quantity of B required to hedge one unit of A.
Overview of Classical Stationarity & Cointegration Methods
The principal econometric tools commonly used in assessing stationarity and cointegration include:
Augmented Dickey–Fuller (ADF) Test
Phillips–Perron (PP) Test
KPSS Test
Engle–Granger Cointegration Test
Phillips–Ouliaris Cointegration Test
Johansen Cointegration Test
Since these procedures rely on regression residuals, matrix operations, and distribution-based critical values that are not supported in TradingView Pine Script, a practical multi-criteria scoring approach is employed instead. This framework leverages metrics that are fully computable in Pine and offers an operational proxy for evaluating cointegration-like behavior under platform constraints.
References
Engle & Granger (1987), Co-integration and Error Correction
Poterba & Summers (1988), Mean Reversion in Stock Prices
Vidyamurthy (2004), Pairs Trading
Explanation structured with assistance from OpenAI’s ChatGPT
Regards.
Mars Signals - Ultimate Institutional Suite v3.0(Joker)Comprehensive Trading Manual
Mars Signals – Ultimate Institutional Suite v3.0 (Joker)
## Chapter 1 – Philosophy & System Architecture
This script is not a simple “buy/sell” indicator.
Mars Signals – UIS v3.0 (Joker) is designed as an institutional-style analytical assistant that layers several methodologies into a single, coherent framework.
The system is built on four core pillars:
1. Smart Money Concepts (SMC)
- Detection of Order Blocks (professional demand/supply zones).
- Detection of Fair Value Gaps (FVGs) (price imbalances).
2. Smart DCA Strategy
- Combination of RSI and Bollinger Bands
- Identifies statistically discounted zones for scaling into spot positions or exiting shorts.
3. Volume Profile (Visible Range Simulation)
- Distribution of volume by price, not by time.
- Identification of POC (Point of Control) and high-/low-volume areas.
4. Wyckoff Helper – Spring
- Detection of bear traps, liquidity grabs, and sharp bullish reversals.
All four pillars feed into a Confluence Engine (Scoring System).
The final output is presented in the Dashboard, with a clear, human-readable signal:
- STRONG LONG 🚀
- WEAK LONG ↗
- NEUTRAL / WAIT
- WEAK SHORT ↘
- STRONG SHORT 🩸
This allows the trader to see *how many* and *which* layers of the system support a bullish or bearish bias at any given time.
## Chapter 2 – Settings Overview
### 2.1 General & Dashboard Group
- Show Dashboard Panel (`show_dash`)
Turns the dashboard table in the corner of the chart ON/OFF.
- Show Signal Recommendation (`show_rec`)
- If enabled, the textual signal (STRONG LONG, WEAK SHORT, etc.) is displayed.
- If disabled, you only see feature status (ON/OFF) and the current price.
- Dashboard Position (`dash_pos`)
Determines where the dashboard appears on the chart:
- `Top Right`
- `Bottom Right`
- `Top Left`
### 2.2 Smart Money (SMC) Group
- Enable SMC Strategy (`show_smc`)
Globally enables or disables the Order Block and FVG logic.
- Order Block Pivot Lookback (`ob_period`)
Main parameter for detecting key pivot highs/lows (swing points).
- Default value: 5
- Concept:
A bar is considered a pivot low if its low is lower than the lows of the previous 5 and the next 5 bars.
Similarly, a pivot high has a high higher than the previous 5 and the next 5 bars.
These pivots are used as anchors for Order Blocks.
- Increasing `ob_period`:
- Fewer levels.
- But levels tend to be more significant and reliable.
- In highly volatile markets (major news, war events, FOMC, etc.),
using values 7–10 is recommended to filter out weak levels.
- Show Fair Value Gaps (`show_fvg`)
Enables/disables the drawing of FVG zones (imbalances).
- Bullish OB Color (`c_ob_bull`)
- Color of Bullish Order Blocks (Demand Zones).
- Default: semi-transparent green (transparency ≈ 80).
- Bearish OB Color (`c_ob_bear`)
- Color of Bearish Order Blocks (Supply Zones).
- Default: semi-transparent red.
- Bullish FVG Color (`c_fvg_bull`)
- Color of Bullish FVG (upward imbalance), typically yellow.
- Bearish FVG Color (`c_fvg_bear`)
- Color of Bearish FVG (downward imbalance), typically purple.
### 2.3 Smart DCA Strategy Group
- Enable DCA Zones (`show_dca`)
Enables the Smart DCA logic and visual labels.
- RSI Length (`rsi_len`)
Lookback period for RSI (default: 14).
- Shorter → more sensitive, more noise.
- Longer → fewer signals, higher reliability.
- Bollinger Bands Length (`bb_len`)
Moving average period for Bollinger Bands (default: 20).
- BB Multiplier (`bb_mult`)
Standard deviation multiplier for Bollinger Bands (default: 2.0).
- For extremely volatile markets, values like 2.5–3.0 can be used so that only extreme deviations trigger a DCA signal.
### 2.4 Volume Profile (Visible Range Sim) Group
- Show Volume Profile (`show_vp`)
Enables the simulated Volume Profile bars on the right side of the chart.
- Volume Lookback Bars (`vp_lookback`)
Number of bars used to compute the Volume Profile (default: 150).
- Higher values → broader historical context, heavier computation.
- Row Count (`vp_rows`)
Number of vertical price segments (rows) to divide the total price range into (default: 30).
- Width (%) (`vp_width`)
Relative width of each volume bar as a percentage.
In the code, bar widths are scaled relative to the row with the maximum volume.
> Technical note: Volume Profile calculations are executed only on the last bar (`barstate.islast`) to keep the script performant even on higher timeframes.
### 2.5 Wyckoff Helper Group
- Show Wyckoff Events (`show_wyc`)
Enables detection and plotting of Wyckoff Spring events.
- Volume MA Length (`vol_ma_len`)
Length of the moving average on volume.
A bar is considered to have Ultra Volume if its volume is more than 2× the volume MA.
## Chapter 3 – Smart Money Strategy (Order Blocks & FVG)
### 3.1 What Is an Order Block?
An Order Block (OB) represents the footprint of large institutional orders:
- Bullish Order Block (Demand Zone)
The last selling region (bearish candle/cluster) before a strong upward move.
- Bearish Order Block (Supply Zone)
The last buying region (bullish candle/cluster) before a strong downward move.
Institutions and large players place heavy orders in these regions. Typical price behavior:
- Price moves away from the zone.
- Later returns to the same zone to fill unfilled orders.
- Then continues the larger trend.
In the script:
- If `pl` (pivot low) forms → a Bullish OB is created.
- If `ph` (pivot high) forms → a Bearish OB is created.
The box is drawn:
- From `bar_index ` to `bar_index`.
- Between `low ` and `high `.
- `extend=extend.right` extends the OB into the future, so it acts as a dynamic support/resistance zone.
- Only the last 4 OB boxes are kept to avoid clutter.
### 3.2 Order Block Color Guide
- Semi-transparent Green (`c_ob_bull`)
- Represents a Bullish Order Block (Demand Zone).
- Interpretation: a price region with a high probability of bullish reaction.
- Semi-transparent Red (`c_ob_bear`)
- Represents a Bearish Order Block (Supply Zone).
- Interpretation: a price region with a high probability of bearish reaction.
Overlap (Multiple OBs in the Same Area)
When two or more Order Blocks overlap:
- The shared area appears visually denser/stronger.
- This suggests higher order density.
- Such zones can be treated as high-priority levels for entries, exits, and stop-loss placement.
### 3.3 Demand/Supply Logic in the Scoring Engine
is_in_demand = low <= ta.lowest(low, 20)
is_in_supply = high >= ta.highest(high, 20)
- If current price is near the lowest lows of the last 20 bars, it is considered in a Demand Zone → positive impact on score.
- If current price is near the highest highs of the last 20 bars, it is considered in a Supply Zone → negative impact on score.
This logic complements Order Blocks and helps the Dashboard distinguish whether:
- Market is currently in a statistically cheap (long-friendly) area, or
- In a statistically expensive (short-friendly) area.
### 3.4 Fair Value Gaps (FVG)
#### Concept
When the market moves aggressively:
- Some price levels are skipped and never traded.
- A gap between wicks/shadows of consecutive candles appears.
- These regions are called Fair Value Gaps (FVGs) or Imbalances.
The market generally “dislikes” imbalance and often:
- Returns to these zones in the future.
- Fills the gap (rebalance).
- Then resumes its dominant direction.
#### Implementation in the Code
Bullish FVG (Yellow)
fvg_bull_cond = show_smc and show_fvg and low > high and close > high
if fvg_bull_cond
box.new(bar_index , high , bar_index, low, ...)
Core condition:
`low > high ` → the current low is above the high of two bars ago; the space between them is an untraded gap.
Bearish FVG (Purple)
fvg_bear_cond = show_smc and show_fvg and high < low and close < low
if fvg_bear_cond
box.new(bar_index , low , bar_index, high, ...)
Core condition:
`high < low ` → the current high is below the low of two bars ago; again a price gap exists.
#### FVG Color Guide
- Transparent Yellow (`c_fvg_bull`) – Bullish FVG
Often acts like a magnet for price:
- Price tends to retrace into this zone,
- Fill the imbalance,
- And then continue higher.
- Transparent Purple (`c_fvg_bear`) – Bearish FVG
Price tends to:
- Retrace upward into the purple area,
- Fill the imbalance,
- And then resume downward movement.
#### Trading with FVGs
- FVGs are *not* standalone entry signals.
They are best used as:
- Targets (take-profit zones), or
- Reaction areas where you expect a pause or reversal.
Examples:
- If you are long, a bearish FVG above is often an excellent take-profit zone.
- If you are short, a bullish FVG below is often a good cover/exit zone.
### 3.5 Core SMC Trading Templates
#### Reversal Long
1. Price trades down into a green Order Block (Demand Zone).
2. A bullish confirmation candle (Close > Open) forms inside or just above the OB.
3. If this zone is close to or aligned with a bullish FVG (yellow), the signal is reinforced.
4. Entry:
- At the close of the confirmation candle, or
- Using a limit order near the upper boundary of the OB.
5. Stop-loss:
- Slightly below the OB.
- If the OB is broken decisively and price consolidates below it, the zone loses validity.
6. Targets:
- The next FVG,
- Or the next red Order Block (Supply Zone) above.
#### Reversal Short
The mirror scenario:
- Price rallies into a red Order Block (Supply).
- A bearish confirmation candle forms (Close < Open).
- FVG/premium structure above can act as a confluence.
- Stop-loss goes above the OB.
- Targets: lower FVGs or subsequent green OBs below.
## Chapter 4 – Smart DCA Strategy (RSI + Bollinger Bands)
### 4.1 Smart DCA Concept
- Classic DCA = buying at fixed time intervals regardless of price.
- Smart DCA = scaling in only when:
- Price is statistically cheaper than usual, and
- The market is in a clear oversold condition.
Code logic:
rsi_val = ta.rsi(close, rsi_len)
= ta.bb(close, bb_len, bb_mult)
dca_buy = show_dca and rsi_val < 30 and close < bb_lower
dca_sell = show_dca and rsi_val > 70 and close > bb_upper
Conditions:
- DCA Buy – Smart Scale-In Zone
- RSI < 30 → oversold.
- Close < lower Bollinger Band → price has broken below its typical volatility envelope.
- DCA Sell – Overbought/Distribution Zone
- RSI > 70 → overbought.
- Close > upper Bollinger Band → price is extended far above the mean.
### 4.2 Visual Representation on the Chart
- Green “DCA” Label Below Candle
- Shape: `labelup`.
- Color: lime background, white text.
- Meaning: statistically attractive level for laddered spot entries or short exits.
- Red “SELL” Label Above Candle
- Warning that the market is in an extended, overbought condition.
- Suitable for profit-taking on longs or considering short entries (with proper confluence and risk management).
- Light Green Background (`bgcolor`)
- When `dca_buy` is true, the candle background turns very light green (high transparency).
- This helps visually identify DCA Zones across the chart at a glance.
### 4.3 Practical Use in Trading
#### Spot Trading
Used to build a better average entry price:
- Every time a DCA label appears, allocate a fixed portion of capital (e.g., 2–5%).
- Combining DCA signals with:
- Green OBs (Demand Zones), and/or
- The Volume Profile POC
makes the zone structurally more important.
#### Futures Trading
- Longs
- Use DCA Buy signals as low-risk zones for opening or adding to longs when:
- Price is inside a green OB, or
- The Dashboard already leans LONG.
- Shorts
- Use DCA Sell signals as:
- Exit zones for longs, or
- Areas to initiate shorts with stops above structural highs.
## Chapter 5 – Volume Profile (Visible Range Simulation)
### 5.1 Concept
Traditional volume (histogram under the chart) shows volume over time.
Volume Profile shows volume by price level:
- At which prices has the highest trading activity occurred?
- Where did buyers and sellers agree the most (High Volume Nodes – HVNs)?
- Where did price move quickly due to low participation (Low Volume Nodes – LVNs)?
### 5.2 Implementation in the Script
Executed only when `show_vp` is enabled and on the last bar:
1. The last `vp_lookback` bars (default 150) are processed.
2. The minimum low and maximum high over this window define the price range.
3. This price range is divided into `vp_rows` segments (e.g., 30 rows).
4. For each row:
- All bars are scanned.
- If the mid-price `(high + low ) / 2` falls inside a row, that bar’s volume is added to the row total.
5. The row with the greatest volume is stored as `max_vol_idx` (the POC row).
6. For each row, a volume box is drawn on the right side of the chart.
### 5.3 Color Scheme
- Semi-transparent Orange
- The row with the maximum volume – the Point of Control (POC).
- Represents the strongest support/resistance level from a volume perspective.
- Semi-transparent Blue
- Other volume rows.
- The taller the bar → the higher the volume → the stronger the interest at that price band.
### 5.4 Trading Applications
- If price is above POC and retraces back into it:
→ POC often acts as support, suitable for long setups.
- If price is below POC and rallies into it:
→ POC often acts as resistance, suitable for short setups or profit-taking.
HVNs (Tall Blue Bars)
- Represent areas of equilibrium where the market has spent time and traded heavily.
- Price tends to consolidate here before choosing a direction.
LVNs (Short or Nearly Empty Bars)
- Represent low participation zones.
- Price often moves quickly through these areas – useful for targeting fast moves.
## Chapter 6 – Wyckoff Helper – Spring
### 6.1 Spring Concept
In the Wyckoff framework:
- A Spring is a false break of support.
- The market briefly trades below a well-defined support level, triggers stop losses,
then sharply reverses upward as institutional buyers absorb liquidity.
This movement:
- Clears out weak hands (retail sellers).
- Provides large players with liquidity to enter long positions.
- Often initiates a new uptrend.
### 6.2 Code Logic
Conditions for a Spring:
1. The current low is lower than the lowest low of the previous 50 bars
→ apparent break of a long-standing support.
2. The bar closes bullish (Close > Open)
→ the breakdown was rejected.
3. Volume is significantly elevated:
→ `volume > 2 × volume_MA` (Ultra Volume).
When all conditions are met and `show_wyc` is enabled:
- A pink diamond is plotted below the bar,
- With the label “Spring” – one of the strongest long signals in this system.
### 6.3 Trading Use
- After a valid Spring, markets frequently enter a meaningful bullish phase.
- The highest quality setups occur when:
- The Spring forms inside a green Order Block, and
- Near or on the Volume Profile POC.
Entries:
- At the close of the Spring bar, or
- On the first pullback into the mid-range of the Spring candle.
Stop-loss:
- Slightly below the Spring’s lowest point (wick low plus a small buffer).
## Chapter 7 – Confluence Engine & Dashboard
### 7.1 Scoring Logic
For each bar, the script:
1. Resets `score` to 0.
2. Adjusts the score based on different signals.
SMC Contribution
if show_smc
if is_in_demand
score += 1
if is_in_supply
score -= 1
- Being in Demand → `+1`
- Being in Supply → `-1`
DCA Contribution
if show_dca
if dca_buy
score += 2
if dca_sell
score -= 2
- DCA Buy → `+2` (strong, statistically driven long signal)
- DCA Sell → `-2`
Wyckoff Spring Contribution
if show_wyc
if wyc_spring
score += 2
- Spring → `+2` (entry of strong money)
### 7.2 Mapping Score to Dashboard Signal
- score ≥ 2 → STRONG LONG 🚀
Multiple bullish conditions aligned.
- score = 1 → WEAK LONG ↗
Some bullish bias, but only one layer clearly positive.
- score = 0 → NEUTRAL / WAIT
Rough balance between buying and selling forces; staying flat is usually preferable.
- score = -1 → WEAK SHORT ↘
Mild bearish bias, suited for cautious or short-term plays.
- score ≤ -2 → STRONG SHORT 🩸
Convergence of several bearish signals.
### 7.3 Dashboard Structure
The dashboard is a two-column table:
- Row 0
- Column 0: `"Mars Signals"` – black background, white text.
- Column 1: `"UIS v3.0"` – black background, yellow text.
- Row 1
- Column 0: `"Price:"` (light grey background).
- Column 1: current closing price (`close`) with a semi-transparent blue background.
- Row 2
- Column 0: `"SMC:"`
- Column 1:
- `"ON"` (green) if `show_smc = true`
- `"OFF"` (grey) otherwise.
- Row 3
- Column 0: `"DCA:"`
- Column 1:
- `"ON"` (green) if `show_dca = true`
- `"OFF"` (grey) otherwise.
- Row 4
- Column 0: `"Signal:"`
- Column 1: signal text (`status_txt`) with background color `status_col`
(green, red, teal, maroon, etc.)
- If `show_rec = false`, these cells are cleared.
## Chapter 8 – Visual Legend (Colors, Shapes & Actions)
For quick reading inside TradingView, the visual elements are described line by line instead of a table.
Chart Element: Green Box
Color / Shape: Transparent green rectangle
Core Meaning: Bullish Order Block (Demand Zone)
Suggested Trader Response: Look for longs, Smart DCA adds, closing or reducing shorts.
Chart Element: Red Box
Color / Shape: Transparent red rectangle
Core Meaning: Bearish Order Block (Supply Zone)
Suggested Trader Response: Look for shorts, or take profit on existing longs.
Chart Element: Yellow Area
Color / Shape: Transparent yellow zone
Core Meaning: Bullish FVG / upside imbalance
Suggested Trader Response: Short take-profit zone or expected rebalance area.
Chart Element: Purple Area
Color / Shape: Transparent purple zone
Core Meaning: Bearish FVG / downside imbalance
Suggested Trader Response: Long take-profit zone or temporary supply region.
Chart Element: Green "DCA" Label
Color / Shape: Green label with white text, plotted below the candle
Core Meaning: Smart ladder-in buy zone, DCA buy opportunity
Suggested Trader Response: Spot DCA entry, partial short exit.
Chart Element: Red "SELL" Label
Color / Shape: Red label with white text, plotted above the candle
Core Meaning: Overbought / distribution zone
Suggested Trader Response: Take profit on longs, consider initiating shorts.
Chart Element: Light Green Background (bgcolor)
Color / Shape: Very transparent light-green background behind bars
Core Meaning: Active DCA Buy zone
Suggested Trader Response: Treat as a discount zone on the chart.
Chart Element: Orange Bar on Right
Color / Shape: Transparent orange horizontal bar in the volume profile
Core Meaning: POC – price with highest traded volume
Suggested Trader Response: Strong support or resistance; key reference level.
Chart Element: Blue Bars on Right
Color / Shape: Transparent blue horizontal bars in the volume profile
Core Meaning: Other volume levels, showing high-volume and low-volume nodes
Suggested Trader Response: Use to identify balance zones (HVN) and fast-move corridors (LVN).
Chart Element: Pink "Spring" Diamond
Color / Shape: Pink diamond with white text below the candle
Core Meaning: Wyckoff Spring – liquidity grab and potential major bullish reversal
Suggested Trader Response: One of the strongest long signals in the suite; look for high-quality long setups with tight risk.
Chart Element: STRONG LONG in Dashboard
Color / Shape: Green background, white text in the Signal row
Core Meaning: Multiple bullish layers in confluence
Suggested Trader Response: Consider initiating or increasing longs with strict risk management.
Chart Element: STRONG SHORT in Dashboard
Color / Shape: Red background, white text in the Signal row
Core Meaning: Multiple bearish layers in confluence
Suggested Trader Response: Consider initiating or increasing shorts with a logical, well-placed stop.
## Chapter 9 – Timeframe-Based Trading Playbook
### 9.1 Timeframe Selection
- Scalping
- Timeframes: 1M, 5M, 15M
- Objective: fast intraday moves (minutes to a few hours).
- Recommendation: focus on SMC + Wyckoff.
Smart DCA on very low timeframes may introduce excessive noise.
- Day Trading
- Timeframes: 15M, 1H, 4H
- Provides a good balance between signal quality and frequency.
- Recommendation: use the full stack – SMC + DCA + Volume Profile + Wyckoff + Dashboard.
- Swing Trading & Position Investing
- Timeframes: Daily, Weekly
- Emphasis on Smart DCA + Volume Profile.
- SMC and Wyckoff are used mainly to fine-tune swing entries within larger trends.
### 9.2 Scenario A – Scalping Long
Example: 5-Minute Chart
1. Price is declining into a green OB (Bullish Demand).
2. A candle with a long lower wick and bullish close (Pin Bar / Rejection) forms inside the OB.
3. A Spring diamond appears below the same candle → very strong confluence.
4. The Dashboard shows at least WEAK LONG ↗, ideally STRONG LONG 🚀.
5. Entry:
- On the close of the confirmation candle, or
- On the first pullback into the mid-range of that candle.
6. Stop-loss:
- Slightly below the OB.
7. Targets:
- Nearby bearish FVG above, and/or
- The next red OB.
### 9.3 Scenario B – Day-Trading Short
Recommended Timeframes: 1H or 4H
1. The market completes a strong impulsive move upward.
2. Price enters a red Order Block (Supply).
3. In the same zone, a purple FVG appears or remains unfilled.
4. On a lower timeframe (e.g., 15M), RSI enters overbought territory and a DCA Sell signal appears.
5. The main timeframe Dashboard (1H) shows WEAK SHORT ↘ or STRONG SHORT 🩸.
Trade Plan
- Open a short near the upper boundary of the red OB.
- Place the stop above the OB or above the last swing high.
- Targets:
- A yellow FVG lower on the chart, and/or
- The next green OB (Demand) below.
### 9.4 Scenario C – Swing / Investment with Smart DCA
Timeframes: Daily / Weekly
1. On the daily or weekly chart, each time a green “DCA” label appears:
- Allocate a fixed fraction of your capital (e.g., 3–5%) to that asset.
2. Check whether this DCA zone aligns with the orange POC of the Volume Profile:
- If yes → the quality of the entry zone is significantly higher.
3. If the DCA signal sits inside a daily green OB, the probability of a medium-term bottom increases.
4. Always build the position laddered, never all-in at a single price.
Exits for investors:
- Near weekly red OBs or large purple FVG zones.
- Ideally via partial profit-taking rather than closing 100% at once.
### 9.5 Case Study 1 – BTCUSDT (15-Minute)
- Context: Price has sold off down towards 65,000 USD.
- A green OB had previously formed at that level.
- Near the lower boundary of this OB, a partially filled yellow FVG is present.
- As price returns to this region, a Spring appears.
- The Dashboard shifts from NEUTRAL / WAIT to WEAK LONG ↗.
Plan
- Enter a long near the OB low.
- Place stop below the Spring low.
- First target: a purple FVG around 66,200.
- Second (optional) target: the first red OB above that level.
### 9.6 Case Study 2 – Meme Coin (PEPE – 4H)
- After a strong pump, price enters a corrective phase.
- On the 4H chart, RSI drops below 30; price breaks below the lower Bollinger Band → a DCA label prints.
- The Volume Profile shows the POC at approximately the same level.
- The Dashboard displays STRONG LONG 🚀.
Plan
- Execute laddered buys in the combined DCA + POC zone.
- Place a protective stop below the last significant swing low.
- Target: an expected 20–30% upside move towards the next red OB or purple FVG.
## Chapter 10 – Risk Management, Psychology & Advanced Tuning
### 10.1 Risk Management
No signal, regardless of its strength, replaces risk control.
Recommendations:
- In futures, do not expose more than 1–3% of account equity to risk per trade.
- Adjust leverage to the volatility of the instrument (lower leverage for highly volatile altcoins).
- Place stop-losses in zones where the idea is clearly invalidated:
- Below/above the relevant Order Block or Spring, not randomly in the middle of the structure.
### 10.2 Market-Specific Parameter Tuning
- Calmer Markets (e.g., major FX pairs)
- `ob_period`: 3–5.
- `bb_mult`: 2.0 is usually sufficient.
- Highly Volatile Markets (Crypto, news-driven assets)
- `ob_period`: 7–10 to highlight only the most robust OBs.
- `bb_mult`: 2.5–3.0 so that only extreme deviations trigger DCA.
- `vol_ma_len`: increase (e.g., to ~30) so that Spring triggers only on truly exceptional
volume spikes.
### 10.3 Trading Psychology
- STRONG LONG 🚀 does not mean “risk-free”.
It means the probability of a successful long, given the model’s logic, is higher than average.
- Treat Mars Signals as a confirmation and context system, not a full replacement for your own decision-making.
- Example of disciplined thinking:
- The Dashboard prints STRONG LONG,
- But price is simultaneously testing a multi-month macro resistance or a major negative news event is imminent,
- In such cases, trade smaller, widen stops appropriately, or skip the trade.
## Chapter 11 – Technical Notes & FAQ
### 11.1 Does the Script Repaint?
- Order Blocks and Springs are based on completed pivot structures and confirmed candles.
- Until a pivot is confirmed, an OB does not exist; after confirmation, behavior is stable under classic SMC assumptions.
- The script is designed to be structurally consistent rather than repainting signals arbitrarily.
### 11.2 Computational Load of Volume Profile
- On the last bar, the script processes up to `vp_lookback` bars × `vp_rows` rows.
- On very low timeframes with heavy zooming, this can become demanding.
- If you experience performance issues:
- Reduce `vp_lookback` or `vp_rows`, or
- Temporarily disable Volume Profile (`show_vp = false`).
### 11.3 Multi-Timeframe Behavior
- This version of the script is not internally multi-timeframe.
All logic (OB, DCA, Spring, Volume Profile) is computed on the active timeframe only.
- Practical workflow:
- Analyze overall structure and key zones on higher timeframes (4H / Daily).
- Use lower timeframes (15M / 1H) with the same tool for timing entries and exits.
## Conclusion
Mars Signals – Ultimate Institutional Suite v3.0 (Joker) is a multi-layer trading framework that unifies:
- Price structure (Order Blocks & FVG),
- Statistical behavior (Smart DCA via RSI + Bollinger),
- Volume distribution by price (Volume Profile with POC, HVN, LVN),
- Liquidity events (Wyckoff Spring),
into a single, coherent system driven by a transparent Confluence Scoring Engine.
The final output is presented in clear, actionable language:
> STRONG LONG / WEAK LONG / NEUTRAL / WEAK SHORT / STRONG SHORT
The system is designed to support professional decision-making, not to replace it.
Used together with strict risk management and disciplined execution,
Mars Signals – UIS v3.0 (Joker) can serve as a central reference manual and operational guide
for your trading workflow, from scalping to swing and investment positioning.
Rotation SentinelROTATION SENTINEL v1.1 — OVERVIEW
Rotation Sentinel is a macro rotation engine that tracks 10 institutional-grade dominance, liquidity, and trend signals to identify when capital is flowing into altcoins.
Each row outputs Green / Yellow / Red, and the system produces a 0–10 Rotation Score plus a final regime:
🔴 NO ROTATION (0–4)
🟡 ROTATION STARTING (5–6)
🟢 ALTSEASON (7–10)
Use on Daily timeframe for best accuracy.
KEY SIGNALS
1️⃣ BTC.D ex-stables
Shows true BTC vs alt strength.
🟢 Falling = capital rotating into alts.
🔴 Rising = alts bleeding. (Master switch.)
2️⃣ OTHERS.D
Broad altcoin dominance.
🟢 Rising = early alt strength.
🔴 Falling = weak participation.
3️⃣ ETH/BTC
Rotation ignition.
🟢 ETH outperforming = rotation can start.
🔴 ETH lagging = altseason impossible.
4️⃣ STABLE.C.D
Crypto “fear index.”
🟢 Falling = risk-on environment.
🔴 Rising = capital hiding in stables.
5️⃣ USDT.D
Real-time risk positioning.
🟢 Falling = capital deploying.
🔴 Rising = defensive.
6️⃣ TOTAL3 (HTF Trend)
Structural alt market health.
🟢 Above SMA + rising = bullish structure.
🔴 Below SMA + falling = systematic weakness.
7️⃣ TOTAL3 / TOTAL2
Depth of rotation.
🟢 Mid/small caps outperforming = deep rotation.
🔴 Only large caps moving = shallow cycle.
8️⃣ Risk Ratio (OTHERS.D / STABLE.C.D)
Pure risk appetite.
🟢 Alts gaining on stables = risk-on.
9️⃣ OTHERS/BTC
Alt value vs BTC.
🟢 Rising = alts outperforming BTC.
🔟 Liquidation Heatmap (Manual)
Update from Hyblock/Coinalyze.
🟢 Liquidity above = upside easier.
ALTSEASON TRIGGER
Fires only when all 6 core conditions turn GREEN:
BTC.D ex-stables
OTHERS.D
ETH/BTC
STABLE.C.D
TOTAL3 structure
Rotation Score ≥ threshold (default 7)
BEST PRACTICES
Use Daily timeframe (macro rotation, not intraday noise)
Score < 5 → defensive / selective trades
Score 5–6 → early rotation window
Score ≥ 7 → confirmed altseason regime
Let alerts notify you; no need to manually monitor
INCLUDED ALERTS
🚨 ALTSEASON TRIGGERED
⚠️ Rotation Score Crossed Threshold
📈 ETH/BTC Rotation Clock Activated
🔥 OTHERS.D Breaking Higher
Tokyo & London Pre-Market Boxes (Local Time)//@version=5
indicator("Daily 10am & 6pm Lines", overlay=true)
var line line10 = na
var line line18 = na
// Convert 10:00 and 18:00 into timestamps for today
t10 = timestamp(year, month, dayofmonth, 10, 0)
t18 = timestamp(year, month, dayofmonth, 18, 0)
// When the bar’s time crosses 10:00, draw a vertical line
if (time >= t10 and time < t10)
line10 := line.new(x1 = t10, y1 = low, x2 = t10, y2 = high, color=color.blue, width = 1)
// When the bar’s time crosses 18:00 (6pm), draw another line
if (time >= t18 and time < t18)
line18 := line.new(x1 = t18, y1 = low, x2 = t18, y2 = high, color=color.red, width = 1)
Turtle System 1 Long & Short (Donchian + N-Stop) + MTF Table V6 Turtle Trading Long & Short (System 1 – 20/10 Donchian + True 2N Trailing Stop) + Multi-Timeframe Dashboard – Pine Script v6This indicator is a 100 % faithful implementation of the famous original Turtle Trading System 1 (Richard Dennis & William Eckhardt) with the following genuine rules:Entry: 20-period Donchian Channel breakout (using the high/low of the previous completed bars only → )
Exit: Classic 10-period Donchian opposite breakout OR hit of the volatility-based stop
Risk Management: True 2N trailing stop (N = 20-period ATR). The stop is pulled tighter on every new favorable extreme (real Turtle trailing – not fixed!)
Fully dynamic position tracking (Long / Short / Flat) on the chart’s timeframe
Visual signals: green/red triangles for entries, diamonds for exits, trailing stop line, entry labels with current N and stop price
Unique Feature – Multi-Timeframe (MTF) Status Table
A clean table in the top-right corner instantly shows the current Turtle position status on five higher timeframes simultaneously:Turtle MTF
1H
4H
8H
1D
1W
Status
LONG / SHORT / FLAT (color-coded)
This allows you to see at a glance whether higher timeframes are already in a Turtle trend – perfect for trend confirmation, filtering, or multi-timeframe trading.Key Visual ElementsLime upper Donchian line (20-period high)
Red lower Donchian line (10-period low)
Gray channel fill
Fuchsia trailing 2N stop line (moves only in favorable direction)
Entry labels showing current N-value and exact stop price
Arrows and diamonds for entries/exits
Alerts
Two ready-to-use alert conditions:“Turtle Long Entry”
“Turtle Short Entry”
Works on any market and any chart timeframe (stocks, forex, futures, crypto).
Completely written and tested in Pine Script version 6.A true, clean, no-nonsense Turtle System 1 with real trailing volatility stops and a powerful higher-timeframe dashboard – exactly how the original Turtles traded (only better visualized)! Enjoy the trends!
