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update docs link & readme.md

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2020-09-24 13:45:26 +08:00
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docs/component/backtest.rst
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@@ -31,9 +31,9 @@ The simple example of the default strategy is as follows.
# pred_score is the prediction score
report, positions = backtest(pred_score, topk=50, n_drop=0.5, verbose=False, limit_threshold=0.0095)
To know more about backtesting with a specific strategy, please refer to `Strategy <strategy.html>`_.
To know more about backtesting with a specific ``Strategy``, please refer to `Strategy <strategy.html>`_.
To know more about the prediction score `pred_score` output by ``Model``, please refer to `Interday Model: Model Training & Prediction <model.html>`_.
To know more about the prediction score `pred_score` output by ``Interday Model``, please refer to `Interday Model: Model Training & Prediction <model.html>`_.
Prediction Score
-----------------
@@ -58,7 +58,7 @@ A prediction sample is shown as follows.
SH603133 2019-04-30 -0.302460
SZ300760 2019-04-30 -0.126383
``Model`` module can make predictions, please refer to `Model <model.html>`_.
``Interday Model`` module can make predictions, please refer to `Interday Model: Model Training & Prediction <model.html>`_.
Backtest Result
------------------
@@ -110,4 +110,4 @@ The backtest results are in the following form:
Reference
==============
To know more about ``Intraday Trading``, please refer to `Backtest API <../reference/api.html>`_.
To know more about ``Intraday Trading``, please refer to `Intraday Trading <../reference/api.html#module-qlib.contrib.evaluate>`_.