diff --git a/fink_filters/rubin/livestream/filter_extreme_transients/filter_liana.py b/fink_filters/rubin/livestream/filter_extreme_transients/filter_liana.py
new file mode 100644
index 0000000..38c6108
--- /dev/null
+++ b/fink_filters/rubin/livestream/filter_extreme_transients/filter_liana.py
@@ -0,0 +1,138 @@
+import pandas as pd
+import fink_filters.rubin.blocks as fb
+import fink_filters.rubin.utils as fu
+
+'''
+Criteria for Extreme transient project
+- Abs mag at peak -16 to +6
+- Rising rate 0.1-1 mag/day
+- Decline rate after peak 0.3-1 mag/day
+- g-r at peak -0.5 to +0.8
+- duration above half peak light <10 days
+
+Something like this(??)
+f_extreme_transients = (f_extragalactic & f_bright & f_faint or f_is_rising & f_sampling or f_colour or f_is_fading or f_duration)
+'''
+
+# fink-filters/fink_filters/rubin/utils.py
+# fink-filters/fink_filters/rubin/blocks.py
+
+def get_valid_rate(mag, filt): # from fink_filters/ztf/filter_orphan_grb_candidates
+    """Try to constrain the rate between the 2nd and 3rd measurements
+
+    case 1: the measurements are taken with the same filter
+        - mag[2] - mag[1] > 0.0 (becomes fainter)
+    case 2: filt(1)=g, filt(2)=r
+        - mag[1] - mag[2] <= 0.3 (the difference is smaller than the baseline g-r = 0.3)
+    case 1: filt(1)=r, filt(2)=g
+        - mag[2] - mag[1] > 0.0 (no real constraints...)
+
+    """
+    v = lambda val, mag: val[~np.isnan(mag)]
+    filt2nd = v(filt, mag)[1]
+    filt3rd = v(filt, mag)[2]
+
+    if filt2nd == filt3rd:
+        cond = (v(mag, mag)[2] - v(mag, mag)[1]) > 0.0
+    elif filt3rd > filt2nd:
+        # g puis r
+        cond = (v(mag, mag)[1] - v(mag, mag)[2]) <= 0.3
+    else:
+        cond = (v(mag, mag)[2] - v(mag, mag)[1]) > 0.0
+    return cond
+
+def in_tns(tns_fullname: pd.Series) -> pd.Series: # from fink_filters/rubin/livestream/filter_in_tns/
+    """Return alerts with a known counterpart in TNS (AT or confirmed) at the time of emission by Rubin
+
+    Parameters
+    ----------
+    tns_fullname: pd.Series
+        Name according to TNS (string or null).
+
+    Returns
+    -------
+    out: pd.Series of booleans
+        True if in TNS. False otherwise
+
+    Examples
+    --------
+    >>> s = pd.Series(["SN toto", None, "AT titi"])
+    >>> out = in_tns(s)
+    >>> assert out.sum() == 2, out.sum()
+
+    >>> from fink_filters.rubin.utils import apply_block
+    >>> import pyspark.sql.functions as F
+    >>> df = df.withColumn("tns_fullname", F.lit(None).astype("string"))
+    >>> df2 = apply_block(df, "fink_filters.rubin.livestream.filter_in_tns.filter.in_tns")
+    >>> df2.count()
+    0
+    """
+    in_tns = tns_fullname.apply(lambda x: x is not None)
+    return in_tns
+    
+def extreme_transients(diaSource: pd.DataFrame,
+    diaObject: pd.DataFrame,
+    simbad_otype: pd.Series,
+    mangrove_lum_dist: pd.Series,
+    is_sso: pd.Series,
+    gaiadr3_DR3Name: pd.Series,
+    gaiadr3_Plx: pd.Series,
+    gaiadr3_e_Plx: pd.Series,
+    vsx_Type: pd.Series,
+    legacydr8_zphot: pd.Series,
+    firstDiaSourceMjdTaiFink: pd.Series,) -> pd.Series: # keep most of the criteria from /rubin/livestream/filter_extragalactic_lt20mag_candidate
+    
+    # Loose extragalactic candidate
+    f_extragalactic = fb.b_extragalactic_loose_candidate(
+        diaSource,
+        simbad_otype,
+        mangrove_lum_dist,
+        is_sso,
+        gaiadr3_DR3Name,
+        gaiadr3_Plx,
+        gaiadr3_e_Plx,
+        vsx_Type,
+        legacydr8_zphot,
+    )  # Xmatch galaxy or Unknown
+
+    # Abs mag at peak
+    f_faint = fu.compute_peak_absolute_magnitude(diaSource.psfFlux) < 6
+    f_bright = fu.compute_peak_absolute_magnitude(diaSource.psfFlux) >= -16
+
+    f_sampling = (diaObject.nDiaSources > 4) & (
+        diaSource.midpointMjdTai - firstDiaSourceMjdTaiFink > 1
+    )
+    
+    # The difference between the g-band and
+    # r-band must be almost constant and positive
+    condg = lambda mag, filt: mag[~np.isnan(mag) & (filt.astype(int) == 1)]
+    condr = lambda mag, filt: mag[~np.isnan(mag) & (filt.astype(int) == 2)]
+
+    meang = np.array([
+        np.mean(condg(i, j)) for i, j in zip(cmagpsfc.to_numpy(), cfidc.to_numpy())
+    ])
+    meanr = np.array([
+        np.mean(condr(i, j)) for i, j in zip(cmagpsfc.to_numpy(), cfidc.to_numpy())
+    ])
+    f_col = (meang - meanr) >= -0.5 & (meang - meanr) < 0.8 # how to calculate g-r at peak?
+    
+    # Calculate half max flux
+    half_flux = 0.5*fu.extract_max_flux(diaSource.psfFlux)
+    # How to calculate how many days between data points at half max flux?
+    id = np.where(cand["jd"] == half_flux) # check f_range < 10 days
+    
+    '''How to do this? '''
+    # if f_is_rising = fb.b_is_rising(diaSource, diaObject) check if rate is 0.1-1 mag/day
+    # if f_is_fading = fb.b_is_fading(diaSource, diaObject) check if rate is 0.3-1 mag/day
+    
+    f_extreme_transient = (f_faint & f_bright & f_sampling & f_col & f_range & f_is_rising & f_is_fading)
+    return f_extreme_transient
+
+if __name__ == "__main__":
+    """Test suite for filters"""
+    # Run the test suite
+
+    from fink_filters.tester import spark_unit_tests
+
+    globs = globals()
+    spark_unit_tests(globs, load_rubin_df=True)
diff --git a/fink_filters/rubin/livestream/filter_extreme_transients/init.py b/fink_filters/rubin/livestream/filter_extreme_transients/init.py
new file mode 100644
index 0000000..8b13789
--- /dev/null
+++ b/fink_filters/rubin/livestream/filter_extreme_transients/init.py
@@ -0,0 +1 @@
+