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更新済 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.
リリースノート
Update to comply with the last data.AGAIN PLEASE DON'T CONSIDER IT THESE DAYS. VOLATILITY IS TOO HIGH.
リリースノート
Version which takes into account last 2 months of dataリリースノート
New version with latest dataリリースノート
New version with latest dataリリースノート
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
リリースノート
(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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Email Trader
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保護スクリプト
このスクリプトのソースコードは非公開で投稿されています。 無料かつ制限なしでご利用いただけます ― 詳細についてはこちらをご覧ください。
Email Trader
免責事項
これらの情報および投稿は、TradingViewが提供または保証する金融、投資、取引、またはその他の種類のアドバイスや推奨を意図したものではなく、またそのようなものでもありません。詳しくは利用規約をご覧ください。