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업데이트됨 SPY - SPX - S&P --- DAILY MODEL

This model is optimized for SPY on a daily time-frame.
Even though it is still profitable (Profit factor > 1) on other time-frames, such as 1h or weekly, I strongly advise you to NOT consider these signals.
You might also get positive returns on other assets, and time-frames, and I also strongly advise you to NOT consider them for your trades. For example:
AAPL-1h
GOOGL-D-W
TSLA-D-W
PYPL-D
INTC-W
MSFT-D-W
FDN-D-W
And so on …
This model is an optimization (parameters tuning) of a meta-model (generic model) for the SPY. It is mainly based on a conjunction of price & volume personal indicators for both entry and exit signals.
The relative portability of the model to other assets and time-frames, coupled with a "Development set -> Validation set" approach, confers it a stronger reliability, and a better warranty of not being « over-optimized ». The meta-model has also served for other model buildings, about 100 as of today.
Be advised that this model applied to real data will get much lower profit factors. During high-volatility periods (such as current times), the model might also be less accurate, as "News streams", more than "prices and volumes", make the market.
As always, this model is for an educational purpose only, and should never be considered as a single decision tool. So, study it, and make sure your decisions are still your own choice.
Even though it is still profitable (Profit factor > 1) on other time-frames, such as 1h or weekly, I strongly advise you to NOT consider these signals.
You might also get positive returns on other assets, and time-frames, and I also strongly advise you to NOT consider them for your trades. For example:
AAPL-1h
GOOGL-D-W
TSLA-D-W
PYPL-D
INTC-W
MSFT-D-W
FDN-D-W
And so on …
This model is an optimization (parameters tuning) of a meta-model (generic model) for the SPY. It is mainly based on a conjunction of price & volume personal indicators for both entry and exit signals.
The relative portability of the model to other assets and time-frames, coupled with a "Development set -> Validation set" approach, confers it a stronger reliability, and a better warranty of not being « over-optimized ». The meta-model has also served for other model buildings, about 100 as of today.
Be advised that this model applied to real data will get much lower profit factors. During high-volatility periods (such as current times), the model might also be less accurate, as "News streams", more than "prices and volumes", make the market.
As always, this model is for an educational purpose only, and should never be considered as a single decision tool. So, study it, and make sure your decisions are still your own choice.
릴리즈 노트
Update to comply with the last data.AGAIN PLEASE DON'T CONSIDER IT THESE DAYS. VOLATILITY IS TOO HIGH.
릴리즈 노트
Version which takes into account last 2 months of data릴리즈 노트
New version with latest data릴리즈 노트
New version with latest data릴리즈 노트
1) Added stopLoss exits for both LONG and SHORT signals2) Narrowed the spectrum of each substrategy to the best of the best
3) Added a max VIX parameter to avoid false entry/exit signals due to high volatility
4) Removed the swing-short substrategy which was not convincing enough on real data
릴리즈 노트
(Republished for the daily Timeframe, sorry)1) Added stopLoss exits for both LONG and SHORT signals
2) Narrowed the spectrum of each substrategy to the best of the best
3) Added a max VIX parameter to avoid false entry/exit signals due to high volatility
4) Removed the swing-short substrategy which was not convincing enough on real data
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이 정보와 게시물은 TradingView에서 제공하거나 보증하는 금융, 투자, 거래 또는 기타 유형의 조언이나 권고 사항을 의미하거나 구성하지 않습니다. 자세한 내용은 이용 약관을 참고하세요.
보호된 스크립트입니다
이 스크립트는 비공개 소스로 게시됩니다. 하지만 제한 없이 자유롭게 사용할 수 있습니다 — 여기에서 자세히 알아보기.
Email Trader
면책사항
이 정보와 게시물은 TradingView에서 제공하거나 보증하는 금융, 투자, 거래 또는 기타 유형의 조언이나 권고 사항을 의미하거나 구성하지 않습니다. 자세한 내용은 이용 약관을 참고하세요.