Oster's Investment Plan (OIP)Oster's Investment Plan (OIP) is a versatile and powerful tool designed to help traders and investors create and evaluate their long-term investment strategies . Unlike many conventional investment tools, OIP emphasizes customization, allowing users to design personalized savings plans and compare the performance of their portfolios against chosen benchmarks. Whether you're setting up a new investment plan or analyzing an existing one, OIP provides comprehensive insights into your portfolio's growth and performance.
Tailored Investment Planning:
OIP enables users to create customized savings plans with up to five assets from any available on TradingView. This feature offers unparalleled flexibility in asset selection, allowing investors to diversify their portfolios across various markets and asset classes. With OIP , users can freely determine the weighting of each asset, ensuring the portfolio aligns with their individual investment strategies and risk preferences .
Comprehensive Fee and Cost Analysis:
One of OIPs standout features is its ability to factor in nearly all cost components associated with investing. This includes annual deposit fees, fees on savings rates, tax deductions on dividend payouts, potential savings rate dynamics, and the Total Expense Ratio (TER) of funds. By considering these costs, OIP provides a realistic and accurate projection of your portfolio's growth, helping you identify the most cost-effective broker or investment platform .
Benchmark Comparison:
OIP allows users to select any benchmark to compare their portfolio's performance. This feature enables investors to gauge their portfolio's returns against broader market indices or specific sector benchmarks, providing valuable insights into the effectiveness of their investment strategy. The ability to choose and change benchmarks ensures that OIP remains relevant and adaptable to different investment goals and market conditions.
Reinvestment of Dividends:
For investors who prefer to reinvest their dividends, OIP can incorporate annual dividend reinvestments into the portfolio's growth curve . This feature accounts for the compounding effect of reinvested dividends, offering a more accurate representation of potential portfolio performance over time.
Use Cases:
Creating a Personalized Savings Plan:
With OIP , users can design a personalized savings plan tailored to their financial goals and investment horizon. By selecting up to five assets and determining their weightings, investors can create a diversified portfolio that suits their risk tolerance and investment preferences. OIP then calculates the potential growth of the portfolio, factoring in all relevant costs and fees, to provide a clear picture of the expected returns.
Evaluating Broker Fees:
For those who have already established a long-term investment plan, OIP can be used to compare the costs associated with different brokerage platforms . By inputting the fee structures of various brokers, investors can identify the most cost-effective option, ensuring that they maximize their returns by minimizing fees and expenses.
Sophisticated Calculation Methodology:
OIP employs a robust calculation methodology to derive its insights. It takes into account the initial investment, recurring deposits, fees, taxes, and the performance of the selected assets. The tool adjusts for annual deposit fees, dynamic savings rates, and the reinvestment of dividends, providing a detailed and nuanced evaluation of the portfolio's performance.
Interpretation:
OIP plots the total equity of the savings plan and the chosen benchmark , allowing users to visually compare the performance of their portfolio against the benchmark. The tool also displays the total invested amount , helping investors track their contributions and returns over time. Dynamic color coding enhances visual clarity, with the savings plan and benchmark differentiated by distinct colors for easy interpretation.
Conclusion:
Oster's Investment Plan (OIP) represents a significant advancement in investment planning and portfolio analysis. By offering customizable parameters, comprehensive fee considerations, and benchmark comparisons, OIP equips investors with a powerful tool for creating and evaluating their investment strategies. Whether you're a seasoned investor or new to the market, OIP provides invaluable insights that can inform and enrich your investment journey.
By integrating these features, OIP stands out as a sophisticated and user-friendly tool for managing and optimizing investment portfolios. Its emphasis on customization, detailed cost analysis, and flexible benchmarking makes it an essential resource for any investor looking to maximize their returns and achieve their financial goals.
Broker
NUMAN_TREND//YAYIMI NUMAN OZDEMIR
//Modified on 5-5-14 for 4apprentice08 with Optional BarColor based on Price Crossing MA #1, or #2
//Modified on 7-25-2014 to Add in Tilson T3
//Plots The Majority of Moving Averages
//Defaults to Current Chart Time Frame --- But Can Be Changed to Higher Or Lower Time Frames
//2nd MA Capability with Show Crosses Feature
study(title="CM_Ultimate_MA_MTF_V2", shorttitle="CM_Ultimate_MA_MTF_V2", overlay=true)
//inputs
src = close
useCurrentRes = input(true, title="Use Current Chart Resolution?")
resCustom = input(title="Use Different Timeframe? Uncheck Box Above", type=resolution, defval="D")
len = input(20, title="Moving Average Length - LookBack Period")
//periodT3 = input(defval=7, title="Tilson T3 Period", minval=1)
factorT3 = input(defval=7, title="Tilson T3 Factor - *.10 - so 7 = .7 etc.", minval=0)
atype = input(1,minval=1,maxval=8,title="1=SMA, 2=EMA, 3=WMA, 4=HullMA, 5=VWMA, 6=RMA, 7=TEMA, 8=Tilson T3")
spc=input(false, title="Show Price Crossing 1st Mov Avg - Highlight Bar?")
cc = input(true,title="Change Color Based On Direction?")
smoothe = input(2, minval=1, maxval=10, title="Color Smoothing - Setting 1 = No Smoothing")
doma2 = input(false, title="Optional 2nd Moving Average")
spc2=input(false, title="Show Price Crossing 2nd Mov Avg?")
len2 = input(50, title="Moving Average Length - Optional 2nd MA")
sfactorT3 = input(defval=7, title="Tilson T3 Factor - *.10 - so 7 = .7 etc.", minval=0)
atype2 = input(1,minval=1,maxval=8,title="1=SMA, 2=EMA, 3=WMA, 4=HullMA, 5=VWMA, 6=RMA, 7=TEMA, 8=Tilson T3")
cc2 = input(true,title="Change Color Based On Direction 2nd MA?")
warn = input(false, title="***You Can Turn On The Show Dots Parameter Below Without Plotting 2nd MA to See Crosses***")
warn2 = input(false, title="***If Using Cross Feature W/O Plotting 2ndMA - Make Sure 2ndMA Parameters are Set Correctly***")
sd = input(false, title="Show Dots on Cross of Both MA's")
res = useCurrentRes ? period : resCustom
//hull ma definition
hullma = wma(2*wma(src, len/2)-wma(src, len), round(sqrt(len)))
//TEMA definition
ema1 = ema(src, len)
ema2 = ema(ema1, len)
ema3 = ema(ema2, len)
tema = 3 * (ema1 - ema2) + ema3
//Tilson T3
factor = factorT3 *.10
gd(src, len, factor) => ema(src, len) * (1 + factor) - ema(ema(src, len), len) * factor
t3(src, len, factor) => gd(gd(gd(src, len, factor), len, factor), len, factor)
tilT3 = t3(src, len, factor)
avg = atype == 1 ? sma(src,len) : atype == 2 ? ema(src,len) : atype == 3 ? wma(src,len) : atype == 4 ? hullma : atype == 5 ? vwma(src, len) : atype == 6 ? rma(src,len) : atype == 7 ? 3 * (ema1 - ema2) + ema3 : tilT3
//2nd Ma - hull ma definition
hullma2 = wma(2*wma(src, len2/2)-wma(src, len2), round(sqrt(len2)))
//2nd MA TEMA definition
sema1 = ema(src, len2)
sema2 = ema(sema1, len2)
sema3 = ema(sema2, len2)
stema = 3 * (sema1 - sema2) + sema3
//2nd MA Tilson T3
sfactor = sfactorT3 *.10
sgd(src, len2, sfactor) => ema(src, len2) * (1 + sfactor) - ema(ema(src, len2), len2) * sfactor
st3(src, len2, sfactor) => sgd(sgd(gd(src, len2, sfactor), len2, sfactor), len2, sfactor)
stilT3 = st3(src, len2, sfactor)
avg2 = atype2 == 1 ? sma(src,len2) : atype2 == 2 ? ema(src,len2) : atype2 == 3 ? wma(src,len2) : atype2 == 4 ? hullma2 : atype2 == 5 ? vwma(src, len2) : atype2 == 6 ? rma(src,len2) : atype2 == 7 ? 3 * (ema1 - ema2) + ema3 : stilT3
out = avg
out_two = avg2
out1 = security(tickerid, res, out)
out2 = security(tickerid, res, out_two)
//Formula for Price Crossing Moving Average #1
cr_up = open < out1 and close > out1
cr_Down = open > out1 and close < out1
//Formula for Price Crossing Moving Average #2
cr_up2 = open < out2 and close > out2
cr_Down2 = open > out2 and close < out2
//barcolor Criteria for Price Crossing Moving Average #1
iscrossUp() => cr_up
iscrossDown() => cr_Down
//barcolor Criteria for Price Crossing Moving Average #2
iscrossUp2() => cr_up2
iscrossDown2() => cr_Down2
ma_up = out1 >= out1
ma_down = out1 < out1
col = cc ? ma_up ? lime : ma_down ? red : aqua : aqua
col2 = cc2 ? ma_up ? lime : ma_down ? red : aqua : white
circleYPosition = out2
plot(out1, title="Multi-Timeframe Moving Avg", style=line, linewidth=4, color = col)
plot(doma2 and out2 ? out2 : na, title="2nd Multi-TimeFrame Moving Average", style=circles, linewidth=4, color=col2)
plot(sd and cross(out1, out2) ? circleYPosition : na,style=cross, linewidth=15, color=aqua)
//barcolor Plot for Price Crossing Moving Average #1
barcolor(spc and iscrossUp() ? (iscrossUp() ? yellow : na) : na)
barcolor(spc and iscrossDown() ? (iscrossDown() ? yellow : na) : na)
//barcolor Plot for Price Crossing Moving Average #2
barcolor(spc2 and iscrossUp2() ? (iscrossUp2() ? yellow : na) : na)
barcolor(spc2 and iscrossDown2() ? (iscrossDown2() ? yellow : na) : na)
Distribution BlocksThis idea has been created by the combination of the two existing systems as a result of my efforts to create a distributional buying and selling guide that has plagued my head for a long time.
1st idea is Accumulation / Distribution Line :
2nd idea is Distribution Day :
These two ideas, the intellectual assistance of professional brokers, and my observations of cot data played a role in the formation of this idea.
Let's start.
No matter how often we divide our risk, both our minds are not comfortable and our capital may end at any moment, and if we do not use professional systems, our chances of success are 50 percent.
If we take this system as an aid to our classic systems, we can determine the amount of risk with those predictions and gradually trade.
If we don't use leverage and we have a little predictive ability, our chances of success go above 50 percent.
But for the first time, we can keep our first lot very low and increase the number of positions in the same order of orders (example: buy and buy and buy).
If we keep the first amount low, the folds won't hurt us.
When we catch up with the trend, purchases with larger position sizes than lower prices lower our average price, so that we can make a good profit when the rising trend starts.
By accepting the zone changes as the reset point just like in the martingale system, we enter the folds in the new zone with our first lot weight.
Although we cannot catch the trend, we determine the stoploss level by adding the first point we entered or the first point we entered and the commission cost.
In fact, this method is the method of buying and selling very large traders and producers, banks, pro-brokers, hedge funds and in other words the new popular phrase "whales".
Because if he trades otherwise, he cannot find buyers because his goods are too big.
I like the comfort of mind in this way.
Finally, your methods separating the negative and positive regions (macd, rsi, interpretation observation etc.)
the stronger you are, the higher your success rate.
I think the Accumulation Distribution method is very successful, but it can be adjusted for the period.
I can't wait to integrate my relativity system on this.
And when my deep learning series is over, I will integrate them on ANN series and share them publicly.
To start with, I can say briefly.
If your capital is 100:
(first lot + (increase multiplier * first lot) + (increase multiplier * increase multiplier * first lot) + .....) = 100
I tell you that you can have the same position in this series 10 - 15 times,
this will help you decide how small a position size is to be used as the starting rate and choose a low increment multiplier!
I think that this idea cannot be converted into strategy, because when our expectations come true, we may want to free all positions and start again.And I think that's better.
And in sudden movements and developments we take action with different expectations.
I'm going to talk about this script's calculations and profits on educational ideas.
Regards , Noldo.
Broker Fixed Spread - Useful For Traditional MarketsAdds two variables on you chart.
Allows you to see broker's spread on a Tradingview Chart.
NOTE: This is made for fixed spreads!
