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Optimal Confidence Scalper [OCS]

تم تحديثه
Introduction
OCS : Optimal Confidence Scalpers, Utilise the computational approach towards finding confidence estimating in signal generating process, It helps u enter and exit the financial markets quickly, It buy and sell many times in a day with the objective of making consistent profits from incremental movements in the traded security's price. As we all know Lag is very undesirable because a trading system. Late trades can many times be worse than no trades at all, Main aim of the System is to find optimal Entry and Exit points for a successful trade


Mathematics behind the indicator
The indicator use two fundamentals pillars :

Estimation of a Confidence Interval
In frequentist statistics, a confidence interval (CI) is a range of estimates for an unknown parameter. A confidence interval is computed at a designated confidence level; the 95% confidence level is most common, but other levels, such as 90% or 99%, are sometimes used.
Desired properties are Validity, Optimality and Invariance

Polynomial Filters
The polynomial filters are based on the orthogonal polynomials of Legendre and Laguerre. Orthogonal polynomials are widely used in applied mathematics, physics and engineering, and the Legendre and Laguerre polynomials are only two of infinitely many sets, each of which has its own weight function.
They can be characterized in three equivalent ways:
1. They are the optimal lowpass filters that minimize the NRR, subject to additional constraints than the DC unity-gain condition
2. They are the optimal filters that minimize the NRR whose frequency response H(ω) satisfies certain flatness constraints at DC
3. They are the filters that optimally fit, in a least-squares sense, a set of data points to polynomials of different degrees.

The System uses Predictive Differentiation Filters, as subset to Polynomial Filters


Components of the System

Buy Signal and Sell Signals
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ENTRY and EXITS
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Momentum Bands
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Confidence Levels
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Indicator Properties
Provision For Alerts
1. Buy Signal Alert
2. Sell Signal Alert
3. Exit Alert if in Buy Trade
4. Exit Alert if in Sell Trade

Some Examples
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What TimeFrames To Use
U can use any Timeframe, The indicator is Adaptive in Nature,
I personally use timeframes such as : 1m, 5m 10m, 15m, ..... 1D, 1W


How to Access
U will need to privately message me.
use comment box for constructive comments

Thanks



ملاحظات الأخبار
Some Intraday Example

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HOW TO USE
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--VIDEOS


Using With TrendLines


Using With HTF
For HTF Configurations,
Use Ration 1:5
That is,
5 mins, 1mins
10mins, 2mins
15mins, 3mins
... so on








ملاحظات الأخبار
Update : Adds The way to guide on the Targets

HISTORICAL PERFORMANCE

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botsCyclesfilterintradaypolynomialpredictivescalperstatisticsswingtrading

نص برمجي للمستخدمين المدعوين فقط

الوصول إلى هذا النص مقيد للمستخدمين المصرح لهم من قبل المؤلف وعادة ما يكون الدفع مطلوباً. يمكنك إضافته إلى مفضلاتك، لكن لن تتمكن من استخدامه إلا بعد طلب الإذن والحصول عليه من مؤلفه. تواصل مع Ankit_1618 للحصول على مزيد من المعلومات، أو اتبع إرشادات المؤلف أدناه.

لا تقترح TradingView الدفع مقابل النصوص البرمجية واستخدامها حتى تثق بنسبة 100٪ في مؤلفها وتفهم كيفية عملها. في كثير من الحالات، يمكنك العثور على بديل جيد مفتوح المصدر مجانًا في نصوص مجتمع الخاصة بنا .

تعليمات المؤلف

Please privately message me to use this indicator, use comment box for constructive comments

هل تريد استخدام هذا النص البرمجي على الرسم البياني؟

تحذير: ‎‎‎يرجى القراءة‎‎ قبل طلب الوصول.

Get Ocs Ai Trader, Your personal Ai Trade Assistant here
ocstrader.com
bit.ly/ocs_ai_trader

About me
AlgoTrading Certification, (University of Oxford, Säid Business School)
PGP Research Analysis, (NISM)
Electronics Engineer
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