Combo Backtest 123 Reversal & Rainbow Oscillator This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
Ever since the people concluded that stock market price movements are not
random or chaotic, but follow specific trends that can be forecasted, they
tried to develop different tools or procedures that could help them identify
those trends. And one of those financial indicators is the Rainbow Oscillator
Indicator. The Rainbow Oscillator Indicator is relatively new, originally
introduced in 1997, and it is used to forecast the changes of trend direction.
As market prices go up and down, the oscillator appears as a direction of the
trend, but also as the safety of the market and the depth of that trend. As
the rainbow grows in width, the current trend gives signs of continuity, and
if the value of the oscillator goes beyond 80, the market becomes more and more
unstable, being prone to a sudden reversal. When prices move towards the rainbow
and the oscillator becomes more and more flat, the market tends to remain more
stable and the bandwidth decreases. Still, if the oscillator value goes below 20,
the market is again, prone to sudden reversals. The safest bandwidth value where
the market is stable is between 20 and 80, in the Rainbow Oscillator indicator value.
The depth a certain price has on a chart and into the rainbow can be used to judge
the strength of the move.
WARNING:
- For purpose educate only
- This script to change bars colors.
Analizy Trendu
Combo Backtest 123 Reversal & Qstick Indicator This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
A technical indicator developed by Tushar Chande to numerically identify
trends in candlestick charting. It is calculated by taking an 'n' period
moving average of the difference between the open and closing prices. A
Qstick value greater than zero means that the majority of the last 'n' days
have been up, indicating that buying pressure has been increasing.
Transaction signals come from when the Qstick indicator crosses through the
zero line. Crossing above zero is used as the entry signal because it is indicating
that buying pressure is increasing, while sell signals come from the indicator
crossing down through zero. In addition, an 'n' period moving average of the Qstick
values can be drawn to act as a signal line. Transaction signals are then generated
when the Qstick value crosses through the trigger line.
WARNING:
- For purpose educate only
- This script to change bars colors.
Qullamaggie BreakoutThe intent of this strategy is to buy breakouts with a tight stop on smaller timeframes in the direction of the longer term trend. Default longer term trend is the daily, but the user can choose any timeframe to use for the SMAs (which act as filters and trailing stops).
Exit the trade using a trailing stop of a close below either the 10 MA or 20 MA (user choice) on that larger timeframe as the position moves in your favor (i.e. whenever position price rises above the MA). This is one area where this script could use a little work or some human intervention - when the trade is entered right in the vicinity of the moving averages, you get some whipsaw. Not sure how to avoid that at this point though if you want to look at those longer term moving averages as your exit criteria.
Option of using daily ATR as a measure of finding contracting ranges and ensuring a decent risk/reward. (If the difference between the breakout point and your stop level is below a certain % of ATR, it could possibly find those consolidating periods.)
EMA_cumulativeVolume_crossover[Strategy V2]This is variation of EMA_cumulativeVolume_crossover strategy.
instead of cumulative volume crossover, I have added the EMA to cumulative volume of same EMA length.
when EMA crossover EMACumulativeVolume , BUY
when already in LONG position and price crossing over EMACumulativeVolume*2 (orange line in the chart) , Add more
Partial Exit , when RSI 5 crossdown 90
Close All when EMA cross down EMACumulativeVolume
Note
Black Line on the chart is the historical value of EMACumulativeVolume . when EMA area is green and price touch this line closes above it , you can consider consider BUY
I have tested it on SPY , QQQ and UDOW on hourly chart.
EMA setting 25 is working for all of these.
but SPY produces better results on EMA 35 setting
warning
This strategy is published educational purposes only.
GANN_EMA_VWAP_BY_THEHOUSEOFTRADERSGANN LEVELS + VWAP + 3 EMA= 50,100 & 200
GANN LEVELS = Eg. 10.25 = BLUE, 10.50 = PINK, 10.75 = BLUE, 11 = RED (VIP LEVEL)
buy down and sell high trend 200 sma and ma cross this indicator showing you when have to buy down and sell high and also can see the market trend is being above or below
I'm sorry if there is an error
TDI Hedge Strategy
This is the incomplete version but upon multiple requests, I have released it early. All of the strategy and alert functions are yet to be written and I'll get around to it soon.
This indicator aims to be the best TDI indicator on TradingView. It is a strategy or study. It will have all of the filter, entry, and exit conditions for the strategies around the TDI.
What is implemented
MFI or RSI: the MFI is a much better TDI baseline than the RSI, in my opinion, and very effective
EMA or SMA used for the moving averages on fast, slow, and volatility band
Dynamic timeframe: set a factor of current timeframe and indicator will analyse higher timeframe automatically
Manual timeframe: set a higher timeframe to analyse different to currently viewed
Features for later
conditions for TDI filters/entries/exits
Strategy functions to use built-in strategy tester
BTE signal plot for Backtesting & Trading Engine
alerts
Enjoy!
BTC_ISHIMOKUInvestment trading strategy on the daily timeframe of the BTC-USD pair based on the Ichimoku cloud indicator
MACD Trendprediction Strategy V1A trend following indicator based on the MACD and EMA. In this case, signals are not generated by crossing the signal lines as with the MACD, but as soon as the distance between the signal lines increases or decreases. A profit factor of 1.6-3.5 is achieved.
Ein Trendfolge-Indikator, auf der Basis des MACD und EMA. Dabei werden Signale nicht wie bei dem MACD per Kreuzung der Signallinien generiert, sondern sobald ein der Abstand der Signallinien zu oder abnimmt.
4-Hour Stochastic EMA TrendThis trading strategy relies heavily on catching the trend. You
may have success using this strategy on as low as the one hour
chart or as high as the daily chart; however, I’ve had most
success trading it on the four hour chart. This strategy consists
of four indicators, which are:
1. 5 Period Exponential Moving Average (closed)
2. 15 Period Exponential Moving Average (closed)
3. 50 Period Exponential Moving Average (closed)
4. Stochastic indicator K=13 D=5 Smooth=5 (13,5,5) 80/20
Levels
Refer
Bear & Bull Zone Signal StrategySince I love to mix and match, here is something fresh and that actually works on the breakout of Ethereum without losing your ass on lagging indicators.
It blends some of the nice parts of my previous scripts while moving to big boy pants with a twist on the Fibonacci retracement using SMA and EMA at multiple levels to do a sanity check.
Is it too good to be true? Nope, just what happens when a Solution Architect starts messing around with crypto and applies engineering and mathematics to the mix. You get a strategy that really doesn't have high profit losses when you tweak it just the right way.
What's the right tweak you ask?
1. Start with a 30 minute timeframe and set your window start date to the date the market began the bear or bull run
2. Make sure you can see your strategy performance window (not the graph one)
3. Set Stop Loss and Target Profit to 50%
4. Use your mouse wheel or up and down arrows and mess around with the RSI, go down one at a time but no lower than 7. Whichever value displayed the highest long or short gain is the one to pick.
5. Now select long or short only based on whichever one shows the highest gain.
6. Now go to K and D, leave K as 3 and check what happens when D is 4 or 5. Leave D at the value that gives you the highest gain.
7. Now go to EMA Fast and Slow Lengths. Leave Fast at 5 and check what happens when the Slow is moved up to 11 or 12, do the gains go up. If not, check what happens when Slow is moved down to 9, 8, or 7. Whichever gives you the highest gain, leave it there. Now go mess with the fast length, keep in mind that fast must always be less than slow. So check values down to 3 and up to 6. Same concept, mo money...leave it be.
8. Now go mess with the Target Profit, I start at 5, hit enter, then go to 7, hit enter, then 9...up by 2 until I get to 21 to make sure I don't hastily pick a low one and always keep in mind between which values the gain switched from high to low. For example, in this example I published at 11 it was $5k and at 13 it was $3700 for the gains. So after I got up to 21 I went back to 11 and started going up by 0.01 steps until the value dropped, which was at 11.19 so I set it at 11.18.
9. Now stop loss is trickier, you've maximized the gains, which means if you set the stop loss at a low value you will sacrifice gains. Typically by this point your loss is less than 10% with this script. So, my approach is to find the value where the stop loss doesn't change what I've tweaked already. In this example, I did the same start at 5 and go up by 2 and saw that when I went to 17 it stopped changing. So I started going back down by 0.5 and saw at 15.5 the gains went lower again. Now I started going back up in steps of 0.01 and at 15.98 it went back to the high gain I already tweaked for. I kept stop loss there and unleashed the strategy on ETH.
So far so good, no bad trades and it's been behaving pretty well.
A Strategy for LeledecThis strategy used Leldec Script from
Then tests what would have happened if one longed or shorted on the major exhaustion.
I used 10% of the initial capital 10,000USD as an example
This is only for educational and entertainment purpose. I do not suggest anyone to use this strategy.
EMA & SupertrendStrategy has been built based on the crossover of 21 EMA (EMA 1) and 55 EMA (EMA 2). Along with with strategy, user can alter the period of EMA 1 & EMA 2 based on their suitability.
When EMA 1 crossover EMA2 or when prices closes above EMA 1 and EMA 1 is greater than EMA 2, strategy will generate Buy signal.
Position gets closed when price closes below EMA 2.
200 EMA, 233 EMA and Supertrend has been added for study purpose.
Jaws Mean Reversion [Strategy]This very simple strategy is an implementation of PJ Sutherlands' Jaws Mean reversion algorithm. It simply buys when a small moving average period (e.g. 2) is below
a longer moving average period (e.g. 5) by a certain percentage and closes when the small period average crosses over the longer moving average.
If you are going to use this, you may wish to apply this to a range of investment assets using a screener for setups, as the amount signals are low. Alternatively, you may wish to tweak the settings to provide more signals.
Context can be found here:
LINK
Wave Trend w/ VWMA overlayThis is a trend-following strategy and indicator which combines the Wave Trend Strategy (Lazy Bear) by thomas.gigure with the cRSI + Waves Strategy with VWMA overlay by Dr_Roboto .
You may update the parameters of the Wave Trend oscillator or the VWMA indicator to match your own preferences. You may also adjust the Base Quantity used for determining trade size (as described below) to suit your account size and risk tolerance.
The strategy identifies potential signals based on the on the Wave Trend oscillator, originally ported to TradingView by LazyBear. When a signal is produced by the Wave Trend oscillator, trade size is determined by the VWMA.
When the VWMA is trending against the direction of the Wave Trend signal, Base Quantity x 1 is used
When the VWMA is trending neutral, Base Quantity x 2 is used
When the VWMA is trending with the direction of the Wave Trend signal, Base Quantity x 4 is used
The strategy includes the ability to limit trade signals to certain defined periods of time ("Sessions") during the trading day and, optionally, to close any open position at the end of either or both "Sessions." This may be enabled/disabled via the Limit Signals to Trading Sessions? option on the "Inputs" tab of the strategy's "Settings" window.
If you are trading on a daily chart (or longer) you must disable the Limit Signals to Trading Sessions? in order for the strategy to produce signals.
DRSI DMA Scalping Strategy No RepaintThis strategy compares the slope of a Moving Average (of your choosing) to the slope of a Momentum Indicator (of your choosing). Zero is the center line because 0 slope means sideways movement. When both lines cross your buy threshold, it buys. When both lines cross your Sell threshold, it sells. The lines may look choppy, but that is probably because it is referencing a different timeframe than what the chart is set to. I left as many settings adjustable by the user as possible so you can tune this strategy to the relative behavior of whatever you are trading.
This also includes a No Repaint function so the backtest should be as close to live trading as possible.
Momentum StrategyThis strategy uses momentum to determine when to enter and exit positions. The default settings are set to look for a new 63 day high (~1 trading quarter) and a new 40 day relative high. If the stock is trending above the 50 day moving average it is a candidate to be bought. Stops are triggered when price closes below the 20 day or 50 day EMAs depending on how well the stock is trending. A stop could also be triggered even if price continues to move up, but is breaking down on a relative basis to a benchmark either SPX or BTCUSD . The goal is to hold on to our winners for as long as possible and cut the losers as soon as possible. This will alow us to capture the majority of major trends while avoiding many large drawdown and relative losers.
Combo Backtest 123 Reversal & Psychological line This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
Psychological line (PSY), as an indicator, is the ratio of the number of
rising periods over the total number of periods. It reflects the buying
power in relation to the selling power.
If PSY is above 50%, it indicates that buyers are in control. Likewise,
if it is below 50%, it indicates the sellers are in control. If the PSY
moves along the 50% area, it indicates balance between the buyers and
sellers and therefore there is no direction movement for the market.
WARNING:
- For purpose educate only
BTC Rapid fire strategy 1M ScalpingRapid Fire strategy is known for scalping strategy for 1 min EURUSD
I change 15 pip stop loss for eurusd and 1.5% for BTC
for Take profit 10 pip foreurusd and 1% for BTC
MA Emperor insiliconot StrategyConverted EmperorBTC's EMA crossover indicator for easy backtesting and added ability to:
Specify time period for backtesting
Specify order quantity
Toggle original indicators (default off)
Quoting EmperorBTC:
Entry is to be made when the
1. Cross over gives a P(Positive Sign) and the candle completely closes above the cross-over
2. When the Heikin Ashi turns green and the next green HA candle goes above the previous green HA candle.
3. The price should be at-least above the 0.236 Level from the Swing high.
Kindly note that the strategy only attempts to do check number 1, where it ensures the entry opens above the cross-over.