TFS: MBO Strategy MBO indicator is the third component of TFS trading system. This indicator
was developed by Bryan Strain and Mark Whitley.
The idea of MBO is similar to moving average convergence/divergence (MACD)
indicator. It is calculated by subtracting the 200-day moving average from
the 25-day moving average.
WARNING:
- This script to change bars colors.
Strategy!
TEMA1 Strategy This study plots the TEMA1 indicator. TEMA1 ia s triple MA (Moving Average),
and is calculated as 3*MA - (3*MA(MA)) + (MA(MA(MA)))
WARNING:
- This script to change bars colors.
Ehlers-Smoothed Stochastic RSI StrategyI have been asked by several people for a Strategy based on the ES Stoch RSI Alert so here it is. The strategy has an adjustable backtest date range so that you can adjust the test time period to whatever you like. This strategy is based on a script by fskrypt.
Moving average cloud strategyHi folks!
Here a script uses the moving average cloud. A sma (50, aqua) and a sma (200, olive) are plotted on the cart. When both sma go up the cloud is green. When both sma go down the cloud is red. When sma (200, olive) goes down and sma (50, aqua) goes up the cloud is orange. When sma (200, olive) goes up and sma (50, aqua) goes down the cloud is lime.
There three entry points in this strategy.
Long
Aggressive: When the cloud turns orange and price closes above the sma (200).
Neutral: When the both sma make the golden cross.
Cautious: When the cloud is green and price closes sma (200) after searching for support. So not when there's a great distance between them.
In case you missed the entry point you can jump in when price CLOSES above sma (50). So after it searched for support on that line. The cloud has to be green at that moment.
Short
Aggressive: When the cloud turns lime and price CLOSES below the sma (200).
Neutral: When the both sma make the death cross.
Cautious: When the cloud is green and price is above the sma (200).
In case you missed the entry point you can jump in when price CLOSES above sma (50). So after it searched for support on that line.
There are also two exit points in this strategy.
Cautious: When price closes on the other side of the sma (50).
Neutral: When the cloud changes color.
Aggressive: When price closes on the other side of the sma (200). There's always the opportunity that the price searches for support at the sma (200) line and goes from that moment in the direction you want.
Don't wait for the cross of the both sma. Very usually you give a huge part of your profit away at that point.
Remember: Above the cloud is bullish area, never go short there. Below the cloud is bearish area, never go long there.
Remember 2: When the clouds changes rapidly from color we're not in a trend. The sma (200) will be almost flat at those situations. It's a sign not to go into a trade since the market doesn't know in which direction it will go.
Smart Money Index (SMI) Strategy Attention:
If you would to use this indicator on the ES, you should have intraday data 60min in your account.
Smart money index (SMI) or smart money flow index is a technical analysis indicator demonstrating investors sentiment.
The index was invented and popularized by money manager Don Hays. The indicator is based on intra-day price patterns.
The main idea is that the majority of traders (emotional, news-driven) overreact at the beginning of the trading day
because of the overnight news and economic data. There is also a lot of buying on market orders and short covering at the opening.
Smart, experienced investors start trading closer to the end of the day having the opportunity to evaluate market performance.
Therefore, the basic strategy is to bet against the morning price trend and bet with the evening price trend. The SMI may be calculated
for many markets and market indices (S&P 500, DJIA, etc.)
The SMI sends no clear signal whether the market is bullish or bearish. There are also no fixed absolute or relative readings signaling
about the trend. Traders need to look at the SMI dynamics relative to that of the market. If, for example, SMI rises sharply when the
market falls, this fact would mean that smart money is buying, and the market is to revert to an uptrend soon. The opposite situation
is also true. A rapidly falling SMI during a bullish market means that smart money is selling and that market is to revert to a downtrend
soon. The SMI is, therefore, a trend-based indicator.
Some analysts use the smart money index to claim that precious metals such as gold will continually maintain value in the future.
WARNING:
- This script to change bars colors.
Percent difference between price and MA Strategy Percent difference between price and MA Strategy
WARNING:
- This script to change bars colors.
Percent change bar chart Strategy This histogram displays price or % change from previous bar.
WARNING:
- This script to change bars colors.
BB limitMarket maker strategy using Bollinger bands as entry, moving average as close and simple stop-loss with percentage of entry position. It was extremely profitable in june on xbtusd.
Modified Price-Volume Trend Strategy The related article is copyrighted material from
Stocks & Commodities.
Strategy by HPotter.
WARNING:
- This script to change bars colors.
Last High and Low Level Strategy This script shows a high and low period value.
SelectPeriod - Day or Week or Month and etc.
LookBackPeriods - Shift levels 0 - current period, 1 - previous and etc.
WARNING:
- This script to change bars colors
CM_Ultimate_MA_MTF_V2 with Alert Long and Short Hello All,
Here is a scirpt of ChrisMoody modified with the alerts of purchases and sales.
I just have a problem with automation. At the bottom of my script my alerts "Buy1" and "Sell2" give alerts constantly and I wish to have a single alert before the order is completed. Before "Sell1" or Buy2 ".
I found the function "barstate.isfirst" that could possibly work?
Does anyone have an idea ? :)
High and Low Levels Strategy This script shows a high and low period value.
Width - width of lines
SelectPeriod - Day or Week or Month and etc.
LookBack - Shift levels 0 - current period, 1 - previous and etc.
WARNING:
- This script to change bars colors.
Free Trend Lines Tool/IndicatorI don't trade much with trend lines, but I was bored so made this hopefully someone will make use of it or program a strategy with it or something like that. It finds the highs and lows, works out the distance in time and price, then uses that to calculate the angle of the trend which can be used to pain the trend line. If you have any questions on how to implement it into a strategy feel free to ask. It is written in quite a messy wayt so sorry about that.
Floor Pivot Points Strategy The name ‘Floor-Trader Pivot,’ came from the fact that Pivot points can
be calculated quickly, on the fly using price data from the previous day
as an input. Although time-frames of less than a day can be used, Pivots are
commonly plotted on the Daily Chart; using price data from the previous day’s
trading activity.
WARNING:
- This script to change bars colors.
Script functionality test - work in progress (2RS + BB + MA)This is the first script I've written. Its sole purpose is to make me learn a bit of pine script. Its not intended to trade live.
Feel free to modify it if you wish and let me know if you do it. Also any comments are welcome!
Also i need help in two things:
1. Im unable to print the "in-strategy" rsi on chart
2. I want to ignore the first buy signal after each sell. I was looking to ad a counter to the signals but im unable to do it.
Any help will be greatly appreciated!
Finite Volume Elements (FVE) Strategy The FVE is a pure volume indicator. Unlike most of the other indicators
(except OBV), price change doesn?t come into the equation for the FVE (price
is not multiplied by volume), but is only used to determine whether money is
flowing in or out of the stock. This is contrary to the current trend in the
design of modern money flow indicators. The author decided against a price-volume
indicator for the following reasons:
- A pure volume indicator has more power to contradict.
- The number of buyers or sellers (which is assessed by volume) will be the same,
regardless of the price fluctuation.
- Price-volume indicators tend to spike excessively at breakouts or breakdowns.
WARNING:
- This script to change bars colors.
Ergodic CSI Strategy This is one of the techniques described by William Blau in his book
"Momentum, Direction and Divergence" (1995). If you like to learn more,
we advise you to read this book. His book focuses on three key aspects
of trading: momentum, direction and divergence. Blau, who was an electrical
engineer before becoming a trader, thoroughly examines the relationship between
price and momentum in step-by-step examples. From this grounding, he then looks
at the deficiencies in other oscillators and introduces some innovative techniques,
including a fresh twist on Stochastics. On directional issues, he analyzes the
intricacies of ADX and offers a unique approach to help define trending and
non-trending periods.
This indicator plots Ergotic CSI and smoothed Ergotic CSI to filter out noise.
WARNING:
- This script to change bars colors.
GBTC Premium to NAV IndicatorWhen bitcoin is in an uptrend, a very profitable strategy is to buy GBTC when premium to NAV is low, and sell when it reaches extremes. This can be far more profitable than buying bitcoin itself.
Ease of Movement (EOM) Strategy This indicator gauges the magnitude of price and volume movement.
The indicator returns both positive and negative values where a
positive value means the market has moved up from yesterday's value
and a negative value means the market has moved down. A large positive
or large negative value indicates a large move in price and/or lighter
volume. A small positive or small negative value indicates a small move
in price and/or heavier volume.
A positive or negative numeric value. A positive value means the market
has moved up from yesterday's value, whereas, a negative value means the
market has moved down.
WARNING:
- This script to change bars colors.
Dynamic Pivot Point Strategy This Pivot points is calculated on the current day.
Pivot points simply took the high, low, and closing price from the previous period and
divided by 3 to find the pivot. From this pivot, traders would then base their
calculations for three support, and three resistance levels. The calculation for the most
basic flavor of pivot points, known as ‘floor-trader pivots’, along with their support and
resistance levels.
WARNING:
- This script to change bars colors.
Dynamic Momentum Index (DMI) Backtest This indicator plots Dynamic Momentum Index indicator. The Dynamic Momentum
Index (DMI) was developed by Tushar Chande and Stanley Kroll. The indicator
is covered in detail in their book The New Technical Trader.
The DMI is identical to Welles Wilder`s Relative Strength Index except the
number of periods is variable rather than fixed. The variability of the time
periods used in the DMI is controlled by the recent volatility of prices.
The more volatile the prices, the more sensitive the DMI is to price changes.
In other words, the DMI will use more time periods during quiet markets, and
less during active markets. The maximum time periods the DMI can reach is 30
and the minimum is 3. This calculation method is similar to the Variable
Moving Average, also developed by Tushar Chande.
The advantage of using a variable length time period when calculating the RSI
is that it overcomes the negative effects of smoothing, which often obscure short-term moves.
The volatility index used in controlling the time periods in the DMI is based
on a calculation using a five period standard deviation and a ten period average
of the standard deviation.
You can change long to short in the Input Settings
WARNING:
- For purpose educate only
- This script to change bars colors.
Dynamic Momentum Index (DMI) Strategy This indicator plots Dynamic Momentum Index indicator. The Dynamic Momentum
Index (DMI) was developed by Tushar Chande and Stanley Kroll. The indicator
is covered in detail in their book The New Technical Trader.
The DMI is identical to Welles Wilder`s Relative Strength Index except the
number of periods is variable rather than fixed. The variability of the time
periods used in the DMI is controlled by the recent volatility of prices.
The more volatile the prices, the more sensitive the DMI is to price changes.
In other words, the DMI will use more time periods during quiet markets, and
less during active markets. The maximum time periods the DMI can reach is 30
and the minimum is 3. This calculation method is similar to the Variable
Moving Average, also developed by Tushar Chande.
The advantage of using a variable length time period when calculating the RSI
is that it overcomes the negative effects of smoothing, which often obscure short-term moves.
The volatility index used in controlling the time periods in the DMI is based
on a calculation using a five period standard deviation and a ten period average
of the standard deviation.
WARNING:
- This script to change bars colors.
Multiple Ema 8/13/21/55 by melihgulerIn one graph, 4 different periods include EMA (8/13/21/55). It is not recommended for short-term investments. You can get efficient results using at least 4 hours chart.
It is not an investment recommendation. Your use is at your own risk.
