diff --git a/data/2025/GBP_AUD_H1.csv b/data/2025/GBP_AUD_H1.csv
new file mode 100644
index 0000000..bb386c3
--- /dev/null
+++ b/data/2025/GBP_AUD_H1.csv
@@ -0,0 +1,7775 @@
+timestamp,open,high,low,close,volume
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diff --git a/data/2025/GBP_JPY_H1.csv b/data/2025/GBP_JPY_H1.csv
new file mode 100644
index 0000000..c093271
--- /dev/null
+++ b/data/2025/GBP_JPY_H1.csv
@@ -0,0 +1,7794 @@
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diff --git a/data/2025/GBP_USD_H1.csv b/data/2025/GBP_USD_H1.csv
new file mode 100644
index 0000000..55e00f6
--- /dev/null
+++ b/data/2025/GBP_USD_H1.csv
@@ -0,0 +1,7794 @@
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diff --git a/data/2025/GBP_USD_M15.csv b/data/2025/GBP_USD_M15.csv
new file mode 100644
index 0000000..00d980e
--- /dev/null
+++ b/data/2025/GBP_USD_M15.csv
@@ -0,0 +1,31158 @@
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diff --git a/results/2025_validation/trades_S3_2025.csv b/results/2025_validation/trades_S3_2025.csv
new file mode 100644
index 0000000..f33f633
--- /dev/null
+++ b/results/2025_validation/trades_S3_2025.csv
@@ -0,0 +1,36 @@
+timestamp,strategy_id,pair,signal_direction,entry_price,sl_price,tp1_price,tp2_price,tp3_price,lot_size,confluence_score,session,spread_at_entry,atr_at_entry,adx_at_entry,rsi_at_entry,ema_50_value,ema_200_value,vwap_deviation,news_within_60min,macd_hist_at_entry,stoch_k_at_entry,distance_from_ema50_pips,candle_body_ratio,hour_of_day,day_of_week,entry_pattern,exit_price,exit_reason,exit_time,pnl_pips,pnl_dollars,hold_time_minutes,win
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diff --git a/results/2025_validation/trades_S7_Tight_2025.csv b/results/2025_validation/trades_S7_Tight_2025.csv
new file mode 100644
index 0000000..acbf4a9
--- /dev/null
+++ b/results/2025_validation/trades_S7_Tight_2025.csv
@@ -0,0 +1,19 @@
+timestamp,strategy_id,pair,signal_direction,entry_price,sl_price,tp1_price,tp2_price,tp3_price,lot_size,confluence_score,session,spread_at_entry,atr_at_entry,adx_at_entry,rsi_at_entry,ema_50_value,ema_200_value,vwap_deviation,news_within_60min,macd_hist_at_entry,stoch_k_at_entry,distance_from_ema50_pips,candle_body_ratio,hour_of_day,day_of_week,entry_pattern,exit_price,exit_reason,exit_time,pnl_pips,pnl_dollars,hold_time_minutes,win
+2025-01-06 08:00:00+00:00,7,GBP_JPY,LONG,196.795,196.03562464338182,197.20456303492728,197.64312606985453,197.64312606985453,1326.04,3,LONDON,2.5,0.2923753566181812,45.050221339210545,77.80688335793323,195.71885313944267,196.23361299221412,13.56666666666797,False,0.10862603334152274,76.13264615568745,104.71468605573193,0.9339019189765324,8,0,liquidity_sweep_bullish,196.795,TP1+SL,2025-01-06 12:00:00+00:00,20.4781517463644,271.5484834174905,240,True
+2025-01-20 08:00:00+00:00,7,GBP_JPY,SHORT,190.368,191.00814705018644,189.90477942472035,189.4125588494407,189.4125588494407,1577.26,4,LONDON,2.5,0.3281470501864324,25.298907150137687,53.43629606532976,190.37008387714386,192.17198916859877,-6.30000000000166,False,0.05233286983744043,67.03372468460755,2.691612285613587,0.3952254641909738,8,0,liquidity_sweep_bearish,191.00814705018644,SL,2025-01-20 13:00:00+00:00,-64.01470501864424,-1009.678336377068,300,False
+2025-01-23 16:00:00+00:00,7,GBP_JPY,LONG,192.63,191.9914763841423,193.0067854237866,193.41257084757316,193.41257084757316,1565.46,5,OVERLAP,2.5,0.2705236158577244,18.66356085986309,51.093857506184456,192.3279797181537,192.11847936562066,4.843352747684548,False,-0.04679460852219795,45.385416158364286,27.30202818462999,0.39000000000000923,16,3,liquidity_sweep_bullish,193.41257084757316,TP3,2025-01-24 02:00:00+00:00,57.968313466323494,907.4707599899078,600,True
+2025-02-18 14:00:00+00:00,7,GBP_JPY,LONG,191.401,190.61660095897497,191.83309856153755,192.2941971230751,192.2941971230751,1285.89,4,OVERLAP,2.5,0.30739904102502896,21.4599980182721,51.8930443330576,191.32376083769176,191.00195076638033,8.437271970993265,False,-0.02846848606283359,34.04542331279312,4.823916230824921,0.7325102880659059,14,1,liquidity_sweep_bullish,191.401,TP1+SL,2025-02-19 01:00:00+00:00,21.60492807687717,277.8156096477559,660,True
+2025-02-26 16:00:00+00:00,7,GBP_JPY,SHORT,189.275,190.21298715589526,188.7235192661571,188.14303853231416,188.14303853231416,1078.3,4,OVERLAP,2.5,0.3869871558952756,22.133066874265946,54.18003728061299,189.11118565385374,189.7835561346014,2.4538497016692418,False,0.06168790896406007,70.7215119032236,19.28143461462639,0.8388278388278478,16,2,liquidity_sweep_bearish,189.275,TP1+SL,2025-02-27 08:00:00+00:00,27.574036692145402,297.33083765140384,960,True
+2025-03-06 15:00:00+00:00,7,GBP_JPY,LONG,191.106,189.7752292340628,191.85065614890576,192.62431229781154,192.62431229781154,762.27,4,OVERLAP,2.5,0.5157707659371802,46.93199444636843,48.41002242969856,191.0828601212273,190.28532328403827,53.69696397433188,False,-0.1501054792100494,58.621741402055534,-0.5860121227300397,0.7652947719688403,15,3,liquidity_sweep_bullish,189.7752292340628,SL,2025-03-07 17:00:00+00:00,-133.07707659371886,-1014.4066317509407,1560,False
+2025-03-13 09:00:00+00:00,7,GBP_JPY,LONG,192.018,190.96996870844208,192.58154693733692,193.17409387467382,193.17409387467382,958.24,4,LONDON,2.5,0.39503129155793953,34.48310138818815,53.6518517301343,191.57661097842632,190.80803703314126,41.22496199382795,False,-0.0869180645672551,57.10849783778287,41.238902157368784,0.7356143079315904,9,3,liquidity_sweep_bullish,190.96996870844208,SL,2025-03-13 17:00:00+00:00,-104.80312915579191,-1004.2655048224603,480,False
+2025-03-21 08:00:00+00:00,7,GBP_JPY,LONG,193.465,192.60699022054078,193.94301466918884,194.45002933837765,194.45002933837765,1158.75,4,LONDON,2.5,0.3380097794592138,19.55413013900674,57.59345719786689,193.21326929977846,192.64402368080886,14.099999999999113,False,0.07378067080985559,64.68349606404871,22.273070022154684,0.5474060822898265,8,4,liquidity_sweep_bullish,192.60699022054078,SL,2025-03-21 12:00:00+00:00,-85.80097794592234,-994.2188319483752,240,False
+2025-04-10 13:00:00+00:00,7,GBP_JPY,SHORT,187.113,188.6969894079523,186.14001588807156,185.13803177614312,185.13803177614312,621.39,3,OVERLAP,2.5,0.6679894079522872,22.675582678106778,42.105428917197436,187.7886506113008,189.6986960361379,-81.28752132374188,False,-0.18187732366884368,22.821017680266227,-64.66506113007995,0.861365953109076,13,3,liquidity_sweep_bearish,187.113,TP1+SL,2025-04-11 06:00:00+00:00,48.649205596422014,302.30129865560673,1020,True
+2025-05-07 12:00:00+00:00,7,GBP_JPY,LONG,191.644,191.03785831575223,192.06071252637167,192.50642505274334,192.50642505274334,1628.83,3,LONDON,2.5,0.2971416842477794,30.04581062738892,64.51742125633898,191.14319599460813,191.06214272652716,32.78067002964917,False,0.07921229071340095,76.64342719685682,47.18040053918742,0.7922535211268634,12,2,liquidity_sweep_bullish,191.03785831575223,SL,2025-05-07 18:00:00+00:00,-60.614168424777404,-987.3017595533017,360,False
+2025-09-25 14:00:00+00:00,7,GBP_JPY,SHORT,199.696,200.1487560194459,199.40736597083117,199.08973194166234,199.08973194166234,2158.84,4,OVERLAP,2.5,0.21175601944588426,31.759483416022125,41.53198926024545,199.90856344598103,199.8488025993896,-11.70593311110224,False,-0.06154447825391013,28.71972318339205,-18.356344598103647,0.2895927601809588,14,3,liquidity_sweep_bearish,200.1487560194459,SL,2025-09-26 07:00:00+00:00,-45.27560194458999,-977.4278050205867,1020,False
+2025-10-09 11:00:00+00:00,7,GBP_JPY,LONG,204.387,203.68883656502143,204.80824515246786,205.25849030493572,205.25849030493572,1386.0,3,LONDON,2.5,0.3001634349785676,26.47777521556377,50.07149501573136,203.95657599082438,201.64379957839563,15.37902553312449,False,-0.0784209891394244,40.970714071725496,40.14240091756278,0.6354679802955814,11,3,liquidity_sweep_bullish,203.68883656502143,SL,2025-10-09 15:00:00+00:00,-69.81634349785679,-967.6545208802952,240,False
+2025-11-24 12:00:00+00:00,7,GBP_JPY,LONG,205.68699999999998,204.982931102766,206.10210334585096,206.54620669170194,206.54620669170194,1360.63,3,LONDON,2.5,0.29606889723398366,28.937655011938737,60.26378817556637,205.24125319483898,204.39473049527857,32.74583855999822,False,0.059839510918221234,55.56168461605938,41.67468051610115,0.8740554156170971,12,0,liquidity_sweep_bullish,205.77,TIME,2025-11-26 04:00:00+00:00,8.300000000002683,112.93229000003652,2400,True
+2025-12-03 09:00:00+00:00,7,GBP_JPY,LONG,206.666,206.0605009907832,206.98874851382521,207.3404970276504,207.3404970276504,1583.99,4,LONDON,2.5,0.23449900921680372,28.344594479891004,72.17672370547221,205.9594723013251,205.7422457337999,19.86240915854296,False,0.06360367716976709,90.23947202070583,67.75276986749077,0.585858585858562,9,2,liquidity_sweep_bullish,207.3404970276504,TP3,2025-12-03 21:00:00+00:00,49.86270289529991,789.8202275912611,720,True
+2025-12-23 09:00:00+00:00,7,GBP_JPY,LONG,210.611,210.04134466889494,210.9699829966576,211.3579659933152,211.3579659933152,1697.52,4,LONDON,2.5,0.25865533110506334,41.48957497418431,42.89300280553006,210.52938837174582,209.04430568410808,-0.17577004943234442,False,-0.0806279410814187,67.69704779631962,5.261162825416932,0.16155988857937573,9,1,liquidity_sweep_bullish,210.611,TP1+SL,2025-12-23 15:00:00+00:00,17.949149832880096,304.6904082431062,360,True
+2025-12-24 15:00:00+00:00,7,GBP_JPY,LONG,210.406,209.77845579590925,210.77381630613615,211.1706326122723,211.1706326122723,1545.79,4,OVERLAP,2.5,0.2645442040907657,23.160935773629824,42.92575626793039,210.59786209934424,209.46187458014302,-11.337377135691895,False,-0.027031930118123687,38.270999947637016,-22.086209934423096,0.5810810810811182,15,2,liquidity_sweep_bullish,210.406,TP1+SL,2025-12-25 07:00:00+00:00,18.39081530680744,284.28338393109874,960,True
+2025-12-30 08:00:00+00:00,7,GBP_JPY,LONG,210.74,210.31343409461678,211.04934885807484,211.38769771614963,211.38769771614963,2280.76,3,LONDON,2.5,0.22556590538320787,27.79658816044497,44.176618763832884,210.85847556356012,210.1984761267166,3.5666666666656965,False,-0.005321844175906129,28.660863172250515,-14.747556356010705,0.21940928270048873,8,1,liquidity_sweep_bullish,210.31343409461678,SL,2025-12-30 22:00:00+00:00,-42.656590538322796,-972.8944543618512,840,False
+2025-12-31 09:00:00+00:00,7,GBP_JPY,LONG,210.492,210.0619801216865,210.76002981747024,211.0570596349405,211.0570596349405,2239.81,3,LONDON,2.5,0.1980198783134948,28.740310445169715,42.19993800482815,210.70362349428802,210.29074875948643,1.797318301254336,False,-0.0119967564523158,24.784612302144044,-24.06234942880303,0.5445544554455232,9,2,liquidity_sweep_bullish,211.0570596349405,TP3,2025-12-31 13:00:00+00:00,41.65472490070168,932.9866937984063,240,True
diff --git a/results/2025_validation/trades_S8_OB_2025.csv b/results/2025_validation/trades_S8_OB_2025.csv
new file mode 100644
index 0000000..62f81b5
--- /dev/null
+++ b/results/2025_validation/trades_S8_OB_2025.csv
@@ -0,0 +1,20 @@
+timestamp,strategy_id,pair,signal_direction,entry_price,sl_price,tp1_price,tp2_price,tp3_price,lot_size,confluence_score,session,spread_at_entry,atr_at_entry,adx_at_entry,rsi_at_entry,ema_50_value,ema_200_value,vwap_deviation,news_within_60min,macd_hist_at_entry,stoch_k_at_entry,distance_from_ema50_pips,candle_body_ratio,hour_of_day,day_of_week,entry_pattern,exit_price,exit_reason,exit_time,pnl_pips,pnl_dollars,hold_time_minutes,win
+2025-01-17 11:30:00+00:00,8,GBP_USD,SHORT,1.2207,1.2217998788056657,1.2189574746288963,1.2179912119433443,1.2179912119433443,897661.16,5,LONDON,1.5,0.0009662626855518997,20.84501130864583,53.967290313344606,1.2209548175727356,1.221705788136929,14.408661075588913,False,0.00037833557154009085,88.21294508794394,-0.6481757273557598,0.8987341772150974,11,4,order_block_retest_short,1.2179912119433443,TP3,2025-01-17 13:15:00+00:00,22.256567440557063,1997.8856146308688,105,True
+2025-01-17 15:15:00+00:00,8,GBP_USD,SHORT,1.2205099999999998,1.2219572350762553,1.2177184328249644,1.2162276492374466,1.2162276492374466,696015.01,5,OVERLAP,1.5,0.0014907835875177175,38.66636444850098,55.4246627620362,1.2200578193653082,1.2213180863115822,14.479532997535571,False,0.00032359126019247285,82.13631322628801,6.421806346916803,0.718750000000112,15,4,order_block_retest_short,1.2162276492374466,TP3,2025-01-17 21:45:00+00:00,35.36959030320947,2461.7765748584243,390,True
+2025-02-13 09:30:00+00:00,8,GBP_USD,LONG,1.2489700000000001,1.248398624562227,1.250855836251821,1.2518937543777313,1.2518937543777313,1806019.37,4,LONDON,1.5,0.0010379181259104386,35.09352882568999,52.085764201705594,1.2475087132733504,1.24435769918256,2.7325698144498034,False,-0.00032123831776868523,52.96958315262347,12.712867266495564,0.7692307692306817,9,3,order_block_retest_long,1.248398624562227,SL,2025-02-13 11:45:00+00:00,-5.713754377731917,-1031.915108160614,135,False
+2025-02-13 15:00:00+00:00,8,GBP_USD,LONG,1.25058,1.2483212696581678,1.252981535612214,1.254277303418321,1.254277303418321,452287.7,5,OVERLAP,1.5,0.001295767806107029,39.05716517195158,62.96342902975745,1.2477175533034277,1.2450732701657392,23.75098904269679,False,0.00023017811654424148,85.44331884617651,26.724466965721838,0.7571428571428447,15,3,order_block_retest_long,1.25058,TP1+SL,2025-02-13 18:30:00+00:00,12.007678061070058,543.0925092581837,210,True
+2025-02-18 11:00:00+00:00,8,GBP_USD,LONG,1.2605400000000002,1.2593886277358495,1.2619591484276704,1.2627637226415054,1.2627637226415054,892002.45,5,LONDON,1.5,0.0008045742138351297,30.607208048935153,48.95731631995742,1.260606195375266,1.2590680755001311,-2.2740659569375765,False,-0.00013346633113002124,30.73067283593535,-2.5619537526599956,0.8829787234044262,11,1,order_block_retest_long,1.2593886277358495,SL,2025-02-18 12:15:00+00:00,-11.513722641507407,-1027.0268804845077,75,False
+2025-02-18 13:30:00+00:00,8,GBP_USD,LONG,1.2598300000000002,1.2594042680750746,1.2611448794995037,1.2618973192492555,1.2618973192492555,2388255.5,5,OVERLAP,1.5,0.0007524397497518295,24.996574345740935,46.785356587396834,1.2602352463740532,1.2591098426653864,-4.691727773975529,False,-5.292202501422491e-05,62.63449326409103,-5.9524637405306,0.6521739130437021,13,1,order_block_retest_long,1.2594042680750746,SL,2025-02-18 13:45:00+00:00,-4.2573192492567635,-1016.7566112293337,15,False
+2025-02-18 14:00:00+00:00,8,GBP_USD,LONG,1.2605100000000002,1.2593817005341204,1.2619753297725314,1.262802994658797,1.262802994658797,892129.33,5,OVERLAP,1.5,0.0008276648862656256,21.231541234515117,53.74009502256932,1.2601995642230301,1.259122772193559,2.651101806887546,False,3.812354488079634e-05,82.44274140922572,1.2043577696996266,0.730263157894756,14,1,order_block_retest_long,1.2605100000000002,TP1+SL,2025-02-18 16:45:00+00:00,7.326648862655549,653.6318340986157,165,True
+2025-03-28 09:15:00+00:00,8,GBP_USD,LONG,1.2949100000000002,1.2938994835849424,1.2961901094337167,1.296925164150575,1.296925164150575,1002581.8,5,LONDON,1.5,0.0007350547168583399,24.961002924520145,50.09906009469786,1.2946157175483293,1.2933809042338165,-1.5100220579311596,False,-1.7796324347916882e-05,31.075837742507275,1.0428245167082295,0.18421052631585866,9,4,order_block_retest_long,1.2938994835849424,SL,2025-03-28 10:45:00+00:00,-10.105164150577828,-1013.125366338179,90,False
+2025-03-28 16:15:00+00:00,8,GBP_USD,LONG,1.2947300000000002,1.2938032211457426,1.2966518590283813,1.2977077885425718,1.2977077885425718,1082236.72,5,OVERLAP,1.5,0.0010559295141906345,29.806889425109837,48.87858970804048,1.2946034576957266,1.2936569539321616,-2.1709510945577826,False,-8.893257477541881e-05,28.903654485050524,-0.6345769572657645,0.676470588235467,16,4,order_block_retest_long,1.2938032211457426,SL,2025-03-28 17:00:00+00:00,-9.26778854257515,-1002.9941073970111,45,False
+2025-04-29 08:15:00+00:00,8,GBP_USD,LONG,1.3425900000000002,1.3417277912302759,1.3444147251314953,1.345422087697243,1.345422087697243,1151651.67,5,LONDON,1.5,0.001007362565747635,23.448879557850997,55.98278969477211,1.3413145737352126,1.3368985113098952,6.225963849175731,False,0.00018832212096023027,80.65480073307857,10.854262647874702,0.8983050847458456,8,1,order_block_retest_long,1.3417277912302759,SL,2025-04-29 08:30:00+00:00,-8.622087697243153,-992.9641695416531,15,False
+2025-09-23 11:00:00+00:00,8,GBP_USD,SHORT,1.3510699999999998,1.352348109569772,1.3493392695348534,1.34837890430228,1.34837890430228,769131.65,5,LONDON,1.5,0.0009603652325732603,18.527140609522668,52.50995405776254,1.3509659563533851,1.3511426410867804,5.125306603559476,False,1.7955590843987803e-05,47.39716627721859,2.9404364661478333,0.21212121212106938,11,1,order_block_retest_short,1.352348109569772,SL,2025-09-23 12:45:00+00:00,-12.781095697722566,-983.0345222797259,105,False
+2025-09-23 13:30:00+00:00,8,GBP_USD,SHORT,1.35144,1.3523304322105039,1.3498271185966406,1.348925677894961,1.348925677894961,1092957.07,5,OVERLAP,1.5,0.0009014407016797055,28.621085204356604,51.85424880448976,1.3512452815855094,1.3512035944197989,4.245638161839427,False,0.00012402369854182547,46.1241520388657,3.8471841449072564,0.6220472440943161,13,1,order_block_retest_short,1.3523304322105039,SL,2025-09-23 14:15:00+00:00,-8.904322105038887,-973.2041798259535,45,False
+2025-09-23 15:15:00+00:00,8,GBP_USD,SHORT,1.3512,1.352352518843887,1.3494398743740872,1.3484648115611306,1.3484648115611306,835970.83,5,OVERLAP,1.5,0.0009750628129565047,14.531792544779664,48.10119297719565,1.3513983682422297,1.351248689260827,-0.15546186224124625,False,-1.858984620550013e-05,60.35129740519671,-0.08368242229606082,0.9499999999996808,15,1,order_block_retest_short,1.352352518843887,SL,2025-09-23 16:45:00+00:00,-11.525188438870071,-963.4721345148618,90,False
+2025-11-07 11:30:00+00:00,8,GBP_USD,SHORT,1.31134,1.312677689934505,1.3102120671033006,1.309553100654951,1.309553100654951,713048.21,5,LONDON,1.5,0.0006589664483497063,28.947200369303815,55.405300474563205,1.3113355009177095,1.309593476640256,7.658962541503556,False,0.00017318438208830967,78.9208558484841,1.944990822906334,0.09638554216878428,11,4,order_block_retest_short,1.312677689934505,SL,2025-11-07 12:00:00+00:00,-13.37689934505004,-953.8374133338104,30,False
+2025-11-07 12:15:00+00:00,8,GBP_USD,SHORT,1.31222,1.3126824310444998,1.311060459703335,1.3103856895550028,1.3103856895550028,2042032.12,5,LONDON,1.5,0.0006747701483324636,40.32938370984814,61.99124665500826,1.311451959408279,1.309675279691457,13.231795975916505,False,0.0003053314419751475,86.54409872377703,9.580405917211099,0.6046511627906256,12,4,order_block_retest_short,1.31222,TP1+SL,2025-11-07 13:00:00+00:00,5.797701483324369,1183.9092651120006,45,True
+2025-11-18 14:15:00+00:00,8,GBP_USD,LONG,1.3156800000000002,1.3147493620356634,1.3172275864289114,1.318096379643367,1.318096379643367,1027400.74,5,OVERLAP,1.5,0.0008687932144556389,20.169414535307315,54.05851174471317,1.3152266854353665,1.3156221120846152,3.501596141906038,False,0.00012574352104018186,71.7461081688361,2.633145646335766,0.7037037037038103,14,1,order_block_retest_long,1.3147493620356634,SL,2025-11-18 15:45:00+00:00,-9.30637964336789,-956.1381332317106,90,False
+2025-11-26 12:15:00+00:00,8,GBP_USD,LONG,1.3155200000000002,1.3147597228312242,1.3185985144585055,1.320232771687758,1.320232771687758,1245041.67,4,LONDON,1.5,0.0016342572292526614,45.734629650170305,43.12562598634748,1.3173516711000095,1.3148759397381775,-14.286202300348716,False,-0.00019862877186547047,32.159064877289765,-20.216711000093923,0.6917293233082669,12,2,order_block_retest_long,1.3147597228312242,SL,2025-11-26 12:30:00+00:00,-7.602771687760246,-946.5767558757734,15,False
+2025-12-04 13:15:00+00:00,8,GBP_USD,LONG,1.3339,1.332928403032527,1.3353206464498197,1.3361259696747299,1.3361259696747299,964505.88,5,OVERLAP,1.5,0.0008053232249099331,32.15385950013448,41.332027117944854,1.3342078271104736,1.3298869918749696,-9.59350743660714,False,-0.00018535728177609777,19.911912384751183,-4.978271104736365,0.20833333333344897,13,3,order_block_retest_long,1.332928403032527,SL,2025-12-04 13:30:00+00:00,-9.715969674730651,-937.1109881179401,15,False
+2025-12-04 13:30:00+00:00,8,GBP_USD,LONG,1.3336400000000002,1.3329062313873465,1.33520845741769,1.336087686126535,1.336087686126535,1264349.36,5,OVERLAP,1.5,0.0008792287088449424,36.12844519641167,39.319260594322266,1.3341781084002589,1.329922444692134,-10.96753521290239,False,-0.00023886255406293383,18.124639588484566,-7.281084002588312,0.15760869565211488,13,3,order_block_retest_long,1.336087686126535,TP3,2025-12-04 14:15:00+00:00,20.080717914715176,2538.904284381067,45,True
diff --git a/results/2025_validation/trades_S9_Filtered_2025.csv b/results/2025_validation/trades_S9_Filtered_2025.csv
new file mode 100644
index 0000000..02c871a
--- /dev/null
+++ b/results/2025_validation/trades_S9_Filtered_2025.csv
@@ -0,0 +1,19 @@
+timestamp,strategy_id,pair,signal_direction,entry_price,sl_price,tp1_price,tp2_price,tp3_price,lot_size,confluence_score,session,spread_at_entry,atr_at_entry,adx_at_entry,rsi_at_entry,ema_50_value,ema_200_value,vwap_deviation,news_within_60min,macd_hist_at_entry,stoch_k_at_entry,distance_from_ema50_pips,candle_body_ratio,hour_of_day,day_of_week,entry_pattern,exit_price,exit_reason,exit_time,pnl_pips,pnl_dollars,hold_time_minutes,win
+2025-01-14 07:00:00+00:00,9,GBP_AUD,SHORT,1.96987,1.97597,1.96577,1.96137,1.96137,164164.31,5,ASIAN,2.0,0.0026659453534973207,51.10461378700829,33.57648527694198,1.9779937094858377,1.9903848137931874,-36.46601958007922,False,-8.0321024104134e-05,26.353957437154065,-78.2370948583777,0.4739229024943353,7,1,london_breakout_short,1.96987,TP1+SL,2025-01-14 16:00:00+00:00,20.49999999999996,336.53683549999937,540,True
+2025-01-15 09:00:00+00:00,9,GBP_AUD,SHORT,1.96823,1.97389,1.96389,1.9593099999999999,1.9593099999999999,177520.79,5,LONDON,2.0,0.002903707440105533,30.350007232130594,41.1314902314605,1.97317119590719,1.9858210797244493,-9.377681979998442,False,-3.830542848311713e-05,72.2338204592911,-47.01195907190092,0.4775086505190763,9,2,london_breakout_short,1.96823,TP1+SL,2025-01-16 03:00:00+00:00,21.70000000000005,385.22011430000094,1080,True
+2025-02-05 09:00:00+00:00,9,GBP_AUD,SHORT,1.99311,1.9982,1.98861,1.98387,1.98387,198157.14,5,LONDON,2.0,0.0024534323455596687,25.865604256394604,40.95523981131868,1.997511430129037,1.9924029812132957,9.72743077136684,False,-0.00012151129670664854,29.570175063381708,-41.61430129037136,0.6235632183908191,9,2,london_breakout_short,1.99311,TP1+SL,2025-02-06 03:00:00+00:00,22.49999999999974,445.85356499999494,1080,True
+2025-02-11 07:00:00+00:00,9,GBP_AUD,SHORT,1.96452,1.9698018328816747,1.9606899999999998,1.9565599999999996,1.9565599999999996,191804.32,5,ASIAN,2.0,0.0021061093560506127,54.08797868867474,25.070101126224785,1.9745538398106732,1.9836905020733688,-70.93642234271336,False,-0.00016217686601334175,5.7989669119669065,-97.33839810673217,0.8603351955307383,7,1,london_breakout_short,1.9698018328816747,SL,2025-02-11 09:00:00+00:00,-52.818328816746074,-1013.0783642232387,120,False
+2025-02-12 09:00:00+00:00,9,GBP_AUD,LONG,1.98255,1.9768852362913332,1.9867000000000001,1.9910900000000002,1.9910900000000002,177050.21,4,LONDON,2.0,0.002174197948933425,26.57333680167964,73.14799150558264,1.9756615951583436,1.9818330046117205,10.70416476106617,False,0.0005513519013618151,90.82225929014999,66.48404841656408,0.7219730941704683,9,2,london_breakout_long,1.9910900000000002,TP3,2025-02-13 07:00:00+00:00,63.45000482349202,1123.3836678500275,1320,True
+2025-02-13 07:00:00+00:00,9,GBP_AUD,LONG,1.99095,1.9853729973191263,1.99571,2.00077,2.00077,181850.63,5,ASIAN,2.0,0.002520029567181688,36.29520370028991,76.83222499407914,1.9799125089518954,1.981992646890817,83.63704613435496,False,0.0005064426948104901,77.40250668219456,107.37491048104619,0.62882653061227,7,3,london_breakout_long,1.9853729973191263,SL,2025-02-14 02:00:00+00:00,-55.77002680873687,-1014.1814510285692,1140,False
+2025-02-25 09:00:00+00:00,9,GBP_AUD,LONG,1.99364,1.988599417464172,1.99696,2.00052,2.00052,199191.19,5,LONDON,2.0,0.0019923592275933127,26.525749807902468,68.21487867430963,1.9866537121645187,1.9838619276218508,19.139198299911175,False,0.00023309550956027202,87.95608585980699,67.46287835481368,0.8703071672354833,9,1,london_breakout_long,2.00052,TP3,2025-02-25 15:00:00+00:00,51.00000345396683,1015.8751377999765,360,True
+2025-03-19 08:00:00+00:00,9,GBP_AUD,LONG,2.05049,2.044615411372999,2.05348,2.05671,2.05671,172641.6,5,LONDON,2.0,0.002433561490029042,26.17144305232752,74.37703117587992,2.042313506265227,2.0434247015321274,15.499999999999403,False,0.0005499548623005546,95.01082445046443,79.36493734773009,0.32704402515722275,8,2,london_breakout_long,2.044615411372999,SL,2025-03-19 19:00:00+00:00,-58.74588627000854,-1014.1983799072307,660,False
+2025-05-27 07:00:00+00:00,9,GBP_AUD,LONG,2.0980700000000003,2.091606123682184,2.1028300000000004,2.1078900000000007,2.1078900000000007,155333.48,5,ASIAN,2.0,0.002598725489474504,47.705141953816366,68.79747535133207,2.0888067527286065,2.0819229198478677,73.2656122544828,False,0.000390793983194367,56.06831151916049,89.63247271393637,0.8752886836027732,7,1,london_breakout_long,2.0980700000000003,TP1+SL,2025-05-27 15:00:00+00:00,23.800000000000487,369.6936824000076,480,True
+2025-08-21 09:00:00+00:00,9,GBP_AUD,LONG,2.0975599999999996,2.0915539565575547,2.10282,2.10832,2.10832,167789.88,5,LONDON,2.0,0.002304530421479691,32.864172451194136,64.29434027025471,2.0911470512437447,2.0799416207876167,10.06170820242236,False,0.00023592932069658947,75.27011432602625,61.72948756255181,0.6140350877192743,9,3,london_breakout_long,2.0915539565575547,SL,2025-08-21 13:00:00+00:00,-60.0604344244493,-1007.7533084826218,240,False
+2025-08-28 08:00:00+00:00,9,GBP_AUD,SHORT,2.07018,2.074584570821249,2.06763,2.06484,2.06484,226509.2,5,LONDON,2.0,0.001750412019321125,36.73987751642415,32.035738212757735,2.075144579740872,2.0786838619711268,-6.633333333336822,False,-0.0001978782408250775,23.735373537351837,-47.24579740872148,0.5157894736842384,8,3,london_breakout_short,2.07018,TP1+SL,2025-08-28 13:00:00+00:00,12.75000000000137,288.79923000003106,300,True
+2025-09-02 08:00:00+00:00,9,GBP_AUD,SHORT,2.05877,2.0644241383013617,2.0548499999999996,2.0506899999999995,2.0506899999999995,176961.32,5,LONDON,2.0,0.002288108511934481,34.19845750866452,29.171930418292916,2.066024310961001,2.0719680043939843,-1.266666666666083,False,-0.0007092029698850514,25.466925821668664,-70.14310961001246,0.3737113402062201,8,1,london_breakout_short,2.05877,TP1+SL,2025-09-02 12:00:00+00:00,19.600000000001835,346.84418720003254,240,True
+2025-09-11 07:00:00+00:00,9,GBP_AUD,SHORT,2.0435399999999997,2.04744,2.04034,2.03684,2.03684,257444.16,5,ASIAN,2.0,0.0019430727348773557,29.27763320024049,38.90974145803529,2.048468552126547,2.056280079897551,-20.888229542626036,False,0.00018338625559389372,28.497652582160374,-46.28552126547003,0.11920529801342812,7,3,london_breakout_short,2.04744,SL,2025-09-11 12:00:00+00:00,-39.000000000002366,-1004.032224000061,300,False
+2025-09-25 08:00:00+00:00,9,GBP_AUD,SHORT,2.03833,2.04263,2.03485,2.03113,2.03113,231160.91,5,LONDON,2.0,0.0021282061139955644,33.08148800831127,39.9469482378245,2.042660256857102,2.0454353392988183,-2.533333333332166,False,-6.383444543208176e-05,46.83780889454729,-40.90256857101959,0.5769230769232023,8,3,london_breakout_short,2.04263,SL,2025-09-25 13:00:00+00:00,-42.999999999997485,-993.9919129999419,300,False
+2025-10-08 07:00:00+00:00,9,GBP_AUD,LONG,2.04341,2.03838,2.04705,2.05099,2.05099,195636.58,5,ASIAN,2.0,0.0020194520011311426,26.80465547827146,64.99522203922425,2.0386935643265907,2.0391867512038773,41.37639764318024,False,0.000213947239409086,72.29200687074271,44.164356734093246,0.7990196078431309,7,2,london_breakout_long,2.03838,SL,2025-10-08 12:00:00+00:00,-50.30000000000089,-984.0519974000175,300,False
+2025-11-12 09:00:00+00:00,9,GBP_AUD,SHORT,2.0072300000000003,2.0140649478936967,2.00156,1.99565,1.99565,142533.85,5,LONDON,2.0,0.002713123503373028,42.95629698115229,33.01078285195048,2.0148833151345658,2.016775043875889,0.1268471901916257,False,-0.0008107269993824886,20.886938679890367,-74.13315134565667,0.6260162601626534,9,2,london_breakout_short,2.0072300000000003,TP1+SL,2025-11-13 12:00:00+00:00,28.350000000001426,404.08346475002037,1620,True
+2025-11-25 09:00:00+00:00,9,GBP_AUD,LONG,2.0338399999999996,2.027999896784358,2.03796,2.04232,2.04232,167506.0,5,LONDON,2.0,0.0022436097658097027,38.459508674616266,64.99671055358925,2.0283593290893607,2.0231659737418064,9.206545216335904,False,0.0005863322424012519,82.41714556384893,52.40670910639178,0.7423580786026667,9,1,london_breakout_long,2.04232,TP3,2025-11-25 14:00:00+00:00,63.00000506250937,1055.2878848000696,300,True
+2025-12-17 08:00:00+00:00,9,GBP_AUD,SHORT,2.0125200000000003,2.0204319222021234,2.0060900000000004,1.9994200000000006,1.9994200000000006,124976.61,5,LONDON,2.0,0.0030224282465028947,33.91969680759084,32.63828226785574,2.0181420202874225,2.013926670132273,-1.9999999999997797,False,-0.00147787377451206,8.855824114285872,-53.820202874224066,0.2603305785122814,8,2,london_breakout_short,2.0204319222021234,SL,2025-12-17 15:00:00+00:00,-79.11922202123111,-988.8052154050813,420,False
diff --git a/results/2025_validation/trades_portfolio_2025.csv b/results/2025_validation/trades_portfolio_2025.csv
new file mode 100644
index 0000000..d293e57
--- /dev/null
+++ b/results/2025_validation/trades_portfolio_2025.csv
@@ -0,0 +1,91 @@
+timestamp,strategy_id,pair,signal_direction,entry_price,sl_price,tp1_price,tp2_price,tp3_price,lot_size,confluence_score,session,spread_at_entry,atr_at_entry,adx_at_entry,rsi_at_entry,ema_50_value,ema_200_value,vwap_deviation,news_within_60min,macd_hist_at_entry,stoch_k_at_entry,distance_from_ema50_pips,candle_body_ratio,hour_of_day,day_of_week,entry_pattern,exit_price,exit_reason,exit_time,pnl_pips,pnl_dollars,hold_time_minutes,win
+2025-01-06 08:00:00+00:00,7,GBP_JPY,LONG,196.795,196.03562464338182,197.20456303492728,197.64312606985453,197.64312606985453,1326.04,3,LONDON,2.5,0.2923753566181812,45.050221339210545,77.80688335793323,195.71885313944267,196.23361299221412,13.56666666666797,False,0.10862603334152274,76.13264615568745,104.71468605573193,0.9339019189765324,8,0,liquidity_sweep_bullish,196.795,TP1+SL,2025-01-06 12:00:00+00:00,20.4781517463644,271.5484834174905,240,True
+2025-01-20 08:00:00+00:00,7,GBP_JPY,SHORT,190.368,191.00814705018644,189.90477942472035,189.4125588494407,189.4125588494407,1577.26,4,LONDON,2.5,0.3281470501864324,25.298907150137687,53.43629606532976,190.37008387714386,192.17198916859877,-6.30000000000166,False,0.05233286983744043,67.03372468460755,2.691612285613587,0.3952254641909738,8,0,liquidity_sweep_bearish,191.00814705018644,SL,2025-01-20 13:00:00+00:00,-64.01470501864424,-1009.678336377068,300,False
+2025-01-23 16:00:00+00:00,7,GBP_JPY,LONG,192.63,191.9914763841423,193.0067854237866,193.41257084757316,193.41257084757316,1565.46,5,OVERLAP,2.5,0.2705236158577244,18.66356085986309,51.093857506184456,192.3279797181537,192.11847936562066,4.843352747684548,False,-0.04679460852219795,45.385416158364286,27.30202818462999,0.39000000000000923,16,3,liquidity_sweep_bullish,193.41257084757316,TP3,2025-01-24 02:00:00+00:00,57.968313466323494,907.4707599899078,600,True
+2025-02-18 14:00:00+00:00,7,GBP_JPY,LONG,191.401,190.61660095897497,191.83309856153755,192.2941971230751,192.2941971230751,1285.89,4,OVERLAP,2.5,0.30739904102502896,21.4599980182721,51.8930443330576,191.32376083769176,191.00195076638033,8.437271970993265,False,-0.02846848606283359,34.04542331279312,4.823916230824921,0.7325102880659059,14,1,liquidity_sweep_bullish,191.401,TP1+SL,2025-02-19 01:00:00+00:00,21.60492807687717,277.8156096477559,660,True
+2025-02-26 16:00:00+00:00,7,GBP_JPY,SHORT,189.275,190.21298715589526,188.7235192661571,188.14303853231416,188.14303853231416,1078.3,4,OVERLAP,2.5,0.3869871558952756,22.133066874265946,54.18003728061299,189.11118565385374,189.7835561346014,2.4538497016692418,False,0.06168790896406007,70.7215119032236,19.28143461462639,0.8388278388278478,16,2,liquidity_sweep_bearish,189.275,TP1+SL,2025-02-27 08:00:00+00:00,27.574036692145402,297.33083765140384,960,True
+2025-03-06 15:00:00+00:00,7,GBP_JPY,LONG,191.106,189.7752292340628,191.85065614890576,192.62431229781154,192.62431229781154,762.27,4,OVERLAP,2.5,0.5157707659371802,46.93199444636843,48.41002242969856,191.0828601212273,190.28532328403827,53.69696397433188,False,-0.1501054792100494,58.621741402055534,-0.5860121227300397,0.7652947719688403,15,3,liquidity_sweep_bullish,189.7752292340628,SL,2025-03-07 17:00:00+00:00,-133.07707659371886,-1014.4066317509407,1560,False
+2025-03-13 09:00:00+00:00,7,GBP_JPY,LONG,192.018,190.96996870844208,192.58154693733692,193.17409387467382,193.17409387467382,958.24,4,LONDON,2.5,0.39503129155793953,34.48310138818815,53.6518517301343,191.57661097842632,190.80803703314126,41.22496199382795,False,-0.0869180645672551,57.10849783778287,41.238902157368784,0.7356143079315904,9,3,liquidity_sweep_bullish,190.96996870844208,SL,2025-03-13 17:00:00+00:00,-104.80312915579191,-1004.2655048224603,480,False
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+2025-04-10 13:00:00+00:00,7,GBP_JPY,SHORT,187.113,188.6969894079523,186.14001588807156,185.13803177614312,185.13803177614312,621.39,3,OVERLAP,2.5,0.6679894079522872,22.675582678106778,42.105428917197436,187.7886506113008,189.6986960361379,-81.28752132374188,False,-0.18187732366884368,22.821017680266227,-64.66506113007995,0.861365953109076,13,3,liquidity_sweep_bearish,187.113,TP1+SL,2025-04-11 06:00:00+00:00,48.649205596422014,302.30129865560673,1020,True
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+2025-12-08 14:00:00+00:00,3,GBP_JPY,LONG,207.684,207.1324838268482,207.97334851945539,208.185580865759,208.50392938521438,1672.84,5,OVERLAP,2.5,0.2122323463035939,34.45429430805797,72.73022063720836,206.91691881158908,206.36578333963027,41.749328469771285,False,0.057577265589728144,85.74299857507897,73.80811884109164,0.8208616780045186,14,0,key_level_break,208.50392938521438,TP3,2025-12-09 08:00:00+00:00,48.035763112862924,803.5614596572161,1080,True
+2025-12-17 15:00:00+00:00,3,GBP_JPY,LONG,208.258,207.80254291435278,208.65337125694163,208.936285428236,209.36065668517762,2043.3,5,OVERLAP,2.5,0.28291417129439966,24.794927127520445,64.23431513733097,207.6347248984463,207.61650916690658,69.46564805469961,False,0.05282173222311107,92.80520178810885,59.427510155370555,0.8038194444444924,15,2,key_level_break,208.45334380723025,TP1+TP2+SL,2025-12-18 14:00:00+00:00,46.85314355170931,957.3502821920763,1380,True
+2025-01-17 11:30:00+00:00,8,GBP_USD,SHORT,1.2207,1.2217998788056657,1.2189574746288963,1.2179912119433443,1.2179912119433443,897661.16,5,LONDON,1.5,0.0009662626855518997,20.84501130864583,53.967290313344606,1.2209548175727356,1.221705788136929,14.408661075588913,False,0.00037833557154009085,88.21294508794394,-0.6481757273557598,0.8987341772150974,11,4,order_block_retest_short,1.2179912119433443,TP3,2025-01-17 13:15:00+00:00,22.256567440557063,1997.8856146308688,105,True
+2025-01-17 15:15:00+00:00,8,GBP_USD,SHORT,1.2205099999999998,1.2219572350762553,1.2177184328249644,1.2162276492374466,1.2162276492374466,696015.01,5,OVERLAP,1.5,0.0014907835875177175,38.66636444850098,55.4246627620362,1.2200578193653082,1.2213180863115822,14.479532997535571,False,0.00032359126019247285,82.13631322628801,6.421806346916803,0.718750000000112,15,4,order_block_retest_short,1.2162276492374466,TP3,2025-01-17 21:45:00+00:00,35.36959030320947,2461.7765748584243,390,True
+2025-02-13 09:30:00+00:00,8,GBP_USD,LONG,1.2489700000000001,1.248398624562227,1.250855836251821,1.2518937543777313,1.2518937543777313,1806019.37,4,LONDON,1.5,0.0010379181259104386,35.09352882568999,52.085764201705594,1.2475087132733504,1.24435769918256,2.7325698144498034,False,-0.00032123831776868523,52.96958315262347,12.712867266495564,0.7692307692306817,9,3,order_block_retest_long,1.248398624562227,SL,2025-02-13 11:45:00+00:00,-5.713754377731917,-1031.915108160614,135,False
+2025-02-13 15:00:00+00:00,8,GBP_USD,LONG,1.25058,1.2483212696581678,1.252981535612214,1.254277303418321,1.254277303418321,452287.7,5,OVERLAP,1.5,0.001295767806107029,39.05716517195158,62.96342902975745,1.2477175533034277,1.2450732701657392,23.75098904269679,False,0.00023017811654424148,85.44331884617651,26.724466965721838,0.7571428571428447,15,3,order_block_retest_long,1.25058,TP1+SL,2025-02-13 18:30:00+00:00,12.007678061070058,543.0925092581837,210,True
+2025-02-18 11:00:00+00:00,8,GBP_USD,LONG,1.2605400000000002,1.2593886277358495,1.2619591484276704,1.2627637226415054,1.2627637226415054,892002.45,5,LONDON,1.5,0.0008045742138351297,30.607208048935153,48.95731631995742,1.260606195375266,1.2590680755001311,-2.2740659569375765,False,-0.00013346633113002124,30.73067283593535,-2.5619537526599956,0.8829787234044262,11,1,order_block_retest_long,1.2593886277358495,SL,2025-02-18 12:15:00+00:00,-11.513722641507407,-1027.0268804845077,75,False
+2025-02-18 13:30:00+00:00,8,GBP_USD,LONG,1.2598300000000002,1.2594042680750746,1.2611448794995037,1.2618973192492555,1.2618973192492555,2388255.5,5,OVERLAP,1.5,0.0007524397497518295,24.996574345740935,46.785356587396834,1.2602352463740532,1.2591098426653864,-4.691727773975529,False,-5.292202501422491e-05,62.63449326409103,-5.9524637405306,0.6521739130437021,13,1,order_block_retest_long,1.2594042680750746,SL,2025-02-18 13:45:00+00:00,-4.2573192492567635,-1016.7566112293337,15,False
+2025-02-18 14:00:00+00:00,8,GBP_USD,LONG,1.2605100000000002,1.2593817005341204,1.2619753297725314,1.262802994658797,1.262802994658797,892129.33,5,OVERLAP,1.5,0.0008276648862656256,21.231541234515117,53.74009502256932,1.2601995642230301,1.259122772193559,2.651101806887546,False,3.812354488079634e-05,82.44274140922572,1.2043577696996266,0.730263157894756,14,1,order_block_retest_long,1.2605100000000002,TP1+SL,2025-02-18 16:45:00+00:00,7.326648862655549,653.6318340986157,165,True
+2025-03-28 09:15:00+00:00,8,GBP_USD,LONG,1.2949100000000002,1.2938994835849424,1.2961901094337167,1.296925164150575,1.296925164150575,1002581.8,5,LONDON,1.5,0.0007350547168583399,24.961002924520145,50.09906009469786,1.2946157175483293,1.2933809042338165,-1.5100220579311596,False,-1.7796324347916882e-05,31.075837742507275,1.0428245167082295,0.18421052631585866,9,4,order_block_retest_long,1.2938994835849424,SL,2025-03-28 10:45:00+00:00,-10.105164150577828,-1013.125366338179,90,False
+2025-03-28 16:15:00+00:00,8,GBP_USD,LONG,1.2947300000000002,1.2938032211457426,1.2966518590283813,1.2977077885425718,1.2977077885425718,1082236.72,5,OVERLAP,1.5,0.0010559295141906345,29.806889425109837,48.87858970804048,1.2946034576957266,1.2936569539321616,-2.1709510945577826,False,-8.893257477541881e-05,28.903654485050524,-0.6345769572657645,0.676470588235467,16,4,order_block_retest_long,1.2938032211457426,SL,2025-03-28 17:00:00+00:00,-9.26778854257515,-1002.9941073970111,45,False
+2025-04-29 08:15:00+00:00,8,GBP_USD,LONG,1.3425900000000002,1.3417277912302759,1.3444147251314953,1.345422087697243,1.345422087697243,1151651.67,5,LONDON,1.5,0.001007362565747635,23.448879557850997,55.98278969477211,1.3413145737352126,1.3368985113098952,6.225963849175731,False,0.00018832212096023027,80.65480073307857,10.854262647874702,0.8983050847458456,8,1,order_block_retest_long,1.3417277912302759,SL,2025-04-29 08:30:00+00:00,-8.622087697243153,-992.9641695416531,15,False
+2025-09-23 11:00:00+00:00,8,GBP_USD,SHORT,1.3510699999999998,1.352348109569772,1.3493392695348534,1.34837890430228,1.34837890430228,769131.65,5,LONDON,1.5,0.0009603652325732603,18.527140609522668,52.50995405776254,1.3509659563533851,1.3511426410867804,5.125306603559476,False,1.7955590843987803e-05,47.39716627721859,2.9404364661478333,0.21212121212106938,11,1,order_block_retest_short,1.352348109569772,SL,2025-09-23 12:45:00+00:00,-12.781095697722566,-983.0345222797259,105,False
+2025-09-23 13:30:00+00:00,8,GBP_USD,SHORT,1.35144,1.3523304322105039,1.3498271185966406,1.348925677894961,1.348925677894961,1092957.07,5,OVERLAP,1.5,0.0009014407016797055,28.621085204356604,51.85424880448976,1.3512452815855094,1.3512035944197989,4.245638161839427,False,0.00012402369854182547,46.1241520388657,3.8471841449072564,0.6220472440943161,13,1,order_block_retest_short,1.3523304322105039,SL,2025-09-23 14:15:00+00:00,-8.904322105038887,-973.2041798259535,45,False
+2025-09-23 15:15:00+00:00,8,GBP_USD,SHORT,1.3512,1.352352518843887,1.3494398743740872,1.3484648115611306,1.3484648115611306,835970.83,5,OVERLAP,1.5,0.0009750628129565047,14.531792544779664,48.10119297719565,1.3513983682422297,1.351248689260827,-0.15546186224124625,False,-1.858984620550013e-05,60.35129740519671,-0.08368242229606082,0.9499999999996808,15,1,order_block_retest_short,1.352352518843887,SL,2025-09-23 16:45:00+00:00,-11.525188438870071,-963.4721345148618,90,False
+2025-11-07 11:30:00+00:00,8,GBP_USD,SHORT,1.31134,1.312677689934505,1.3102120671033006,1.309553100654951,1.309553100654951,713048.21,5,LONDON,1.5,0.0006589664483497063,28.947200369303815,55.405300474563205,1.3113355009177095,1.309593476640256,7.658962541503556,False,0.00017318438208830967,78.9208558484841,1.944990822906334,0.09638554216878428,11,4,order_block_retest_short,1.312677689934505,SL,2025-11-07 12:00:00+00:00,-13.37689934505004,-953.8374133338104,30,False
+2025-11-07 12:15:00+00:00,8,GBP_USD,SHORT,1.31222,1.3126824310444998,1.311060459703335,1.3103856895550028,1.3103856895550028,2042032.12,5,LONDON,1.5,0.0006747701483324636,40.32938370984814,61.99124665500826,1.311451959408279,1.309675279691457,13.231795975916505,False,0.0003053314419751475,86.54409872377703,9.580405917211099,0.6046511627906256,12,4,order_block_retest_short,1.31222,TP1+SL,2025-11-07 13:00:00+00:00,5.797701483324369,1183.9092651120006,45,True
+2025-11-18 14:15:00+00:00,8,GBP_USD,LONG,1.3156800000000002,1.3147493620356634,1.3172275864289114,1.318096379643367,1.318096379643367,1027400.74,5,OVERLAP,1.5,0.0008687932144556389,20.169414535307315,54.05851174471317,1.3152266854353665,1.3156221120846152,3.501596141906038,False,0.00012574352104018186,71.7461081688361,2.633145646335766,0.7037037037038103,14,1,order_block_retest_long,1.3147493620356634,SL,2025-11-18 15:45:00+00:00,-9.30637964336789,-956.1381332317106,90,False
+2025-11-26 12:15:00+00:00,8,GBP_USD,LONG,1.3155200000000002,1.3147597228312242,1.3185985144585055,1.320232771687758,1.320232771687758,1245041.67,4,LONDON,1.5,0.0016342572292526614,45.734629650170305,43.12562598634748,1.3173516711000095,1.3148759397381775,-14.286202300348716,False,-0.00019862877186547047,32.159064877289765,-20.216711000093923,0.6917293233082669,12,2,order_block_retest_long,1.3147597228312242,SL,2025-11-26 12:30:00+00:00,-7.602771687760246,-946.5767558757734,15,False
+2025-12-04 13:15:00+00:00,8,GBP_USD,LONG,1.3339,1.332928403032527,1.3353206464498197,1.3361259696747299,1.3361259696747299,964505.88,5,OVERLAP,1.5,0.0008053232249099331,32.15385950013448,41.332027117944854,1.3342078271104736,1.3298869918749696,-9.59350743660714,False,-0.00018535728177609777,19.911912384751183,-4.978271104736365,0.20833333333344897,13,3,order_block_retest_long,1.332928403032527,SL,2025-12-04 13:30:00+00:00,-9.715969674730651,-937.1109881179401,15,False
+2025-12-04 13:30:00+00:00,8,GBP_USD,LONG,1.3336400000000002,1.3329062313873465,1.33520845741769,1.336087686126535,1.336087686126535,1264349.36,5,OVERLAP,1.5,0.0008792287088449424,36.12844519641167,39.319260594322266,1.3341781084002589,1.329922444692134,-10.96753521290239,False,-0.00023886255406293383,18.124639588484566,-7.281084002588312,0.15760869565211488,13,3,order_block_retest_long,1.336087686126535,TP3,2025-12-04 14:15:00+00:00,20.080717914715176,2538.904284381067,45,True
diff --git a/results/2025_validation/validation_2025.json b/results/2025_validation/validation_2025.json
new file mode 100644
index 0000000..b6075b8
--- /dev/null
+++ b/results/2025_validation/validation_2025.json
@@ -0,0 +1,65 @@
+{
+  "S7_Tight": {
+    "pair": "GBP_JPY",
+    "timeframe": "H1",
+    "metrics_2025": {
+      "trades": 18,
+      "wr": 55.6,
+      "pf": 0.52,
+      "sharpe": -4.36,
+      "pnl_pips": -293.6,
+      "max_dd_pips": -450.7,
+      "expectancy": -16.31
+    }
+  },
+  "S9_Filtered": {
+    "pair": "GBP_AUD",
+    "timeframe": "H1",
+    "metrics_2025": {
+      "trades": 18,
+      "wr": 55.6,
+      "pf": 0.74,
+      "sharpe": -2.08,
+      "pnl_pips": -112.2,
+      "max_dd_pips": -199.7,
+      "expectancy": -6.23
+    }
+  },
+  "S3": {
+    "pair": "GBP_JPY",
+    "timeframe": "H1",
+    "metrics_2025": {
+      "trades": 35,
+      "wr": 42.9,
+      "pf": 1.05,
+      "sharpe": 0.36,
+      "pnl_pips": 52.2,
+      "max_dd_pips": -498.4,
+      "expectancy": 1.49
+    }
+  },
+  "S8_OB": {
+    "pair": "GBP_USD",
+    "timeframe": "M15",
+    "metrics_2025": {
+      "trades": 19,
+      "wr": 31.6,
+      "pf": 0.84,
+      "sharpe": -1.17,
+      "pnl_pips": -19.9,
+      "max_dd_pips": -103.9,
+      "expectancy": -1.04
+    }
+  },
+  "_portfolio": {
+    "metrics_2025": {
+      "trades": 90,
+      "wr": 45.6,
+      "pf": 0.83,
+      "sharpe": -1.23,
+      "pnl_pips": -373.4,
+      "max_dd_pips": -518.1,
+      "expectancy": -4.15
+    }
+  }
+}
\ No newline at end of file
diff --git a/src/download_2025_data.py b/src/download_2025_data.py
new file mode 100644
index 0000000..11c5b42
--- /dev/null
+++ b/src/download_2025_data.py
@@ -0,0 +1,134 @@
+"""
+Download 2025 data from Dukascopy for the 4 passing Phase 2 strategies.
+
+Pairs/TFs needed:
+  - GBP_JPY H1  (S7_Tight, S3)
+  - GBP_AUD H1  (S9_Filtered)
+  - GBP_USD M15 (S8_OB primary)
+  - GBP_USD H1  (S8_OB HTF context)
+
+Downloads from Oct 2024 (warmup) through Dec 2025.
+Saves to data/2025/ directory.
+"""
+import os
+import sys
+import time
+from datetime import datetime, timedelta
+
+import pandas as pd
+from dukascopy_python import fetch, INTERVAL_MIN_15, INTERVAL_HOUR_1, OFFER_SIDE_BID
+
+PAIRS_TFS = [
+    ("GBP/JPY", "H1", INTERVAL_HOUR_1),
+    ("GBP/AUD", "H1", INTERVAL_HOUR_1),
+    ("GBP/USD", "H1", INTERVAL_HOUR_1),
+    ("GBP/USD", "M15", INTERVAL_MIN_15),
+]
+
+# Oct 2024 for warmup, through end of 2025
+START = datetime(2024, 10, 1)
+END = datetime(2025, 12, 31, 23, 59)
+
+CHUNK_MONTHS = 3
+
+OUT_DIR = os.path.join(os.path.dirname(os.path.dirname(__file__)), "data", "2025")
+
+
+def chunk_date_range(start, end, months):
+    chunks = []
+    current = start
+    while current < end:
+        chunk_end = current + timedelta(days=months * 30)
+        if chunk_end > end:
+            chunk_end = end
+        chunks.append((current, chunk_end))
+        current = chunk_end + timedelta(hours=1)
+    return chunks
+
+
+def download_pair(pair, tf_name, tf_code):
+    pair_file = pair.replace("/", "_")
+    filename = f"{pair_file}_{tf_name}.csv"
+    filepath = os.path.join(OUT_DIR, filename)
+
+    if os.path.exists(filepath):
+        existing = pd.read_csv(filepath)
+        print(f"  Already exists: {filename} ({len(existing)} rows) - skipping")
+        return True
+
+    chunks = chunk_date_range(START, END, CHUNK_MONTHS)
+    all_dfs = []
+
+    for i, (chunk_start, chunk_end) in enumerate(chunks):
+        print(f"  Chunk {i+1}/{len(chunks)}: {chunk_start.date()} to {chunk_end.date()}...",
+              end=" ", flush=True)
+        try:
+            df = fetch(
+                instrument=pair,
+                interval=tf_code,
+                offer_side=OFFER_SIDE_BID,
+                start=chunk_start,
+                end=chunk_end,
+                max_retries=5,
+            )
+            print(f"{len(df)} rows")
+            if len(df) > 0:
+                all_dfs.append(df)
+            time.sleep(1)
+        except Exception as e:
+            print(f"ERROR: {e}")
+            time.sleep(3)
+            try:
+                df = fetch(
+                    instrument=pair,
+                    interval=tf_code,
+                    offer_side=OFFER_SIDE_BID,
+                    start=chunk_start,
+                    end=chunk_end,
+                    max_retries=5,
+                )
+                print(f"  Retry OK: {len(df)} rows")
+                if len(df) > 0:
+                    all_dfs.append(df)
+            except Exception as e2:
+                print(f"  Retry failed: {e2}")
+                return False
+
+    if not all_dfs:
+        print(f"  No data retrieved for {pair} {tf_name}")
+        return False
+
+    combined = pd.concat(all_dfs)
+    combined = combined[~combined.index.duplicated(keep="first")]
+    combined = combined.sort_index()
+    combined.to_csv(filepath)
+    print(f"  Saved: {filename} ({len(combined)} rows, "
+          f"{combined.index[0].date()} to {combined.index[-1].date()})")
+    return True
+
+
+def main():
+    os.makedirs(OUT_DIR, exist_ok=True)
+
+    print(f"Downloading 2025 data from Dukascopy")
+    print(f"Date range: {START.date()} to {END.date()}")
+    print(f"Output: {OUT_DIR}")
+    print("=" * 60)
+
+    failed = []
+    for pair, tf_name, tf_code in PAIRS_TFS:
+        print(f"\n{pair} {tf_name}")
+        success = download_pair(pair, tf_name, tf_code)
+        if not success:
+            failed.append(f"{pair} {tf_name}")
+
+    print("\n" + "=" * 60)
+    if failed:
+        print(f"Failed: {', '.join(failed)}")
+    else:
+        print("All downloads successful!")
+        print(f"\nNext: python src/run_2025_validation.py")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/src/run_2025_validation.py b/src/run_2025_validation.py
new file mode 100644
index 0000000..03dd074
--- /dev/null
+++ b/src/run_2025_validation.py
@@ -0,0 +1,277 @@
+"""
+2025 Forward Validation — Run 4 passing Phase 2 strategies on 2025 data.
+
+This is a true out-of-sample test on data the strategies have never seen.
+Data includes Oct-Dec 2024 warmup for indicator computation; trades are
+filtered to only count those from Jan 1 2025 onward.
+
+Strategies:
+  S7_Tight     — GBP_JPY H1 (Liquidity Sweep)
+  S9_Filtered  — GBP_AUD H1 (London Session)
+  S3           — GBP_JPY H1 (Key Level Breakout)
+  S8_OB        — GBP_USD M15 + H1 HTF (Order Block Retest)
+"""
+import os, sys, io, json, time
+sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8', errors='replace')
+sys.path.insert(0, os.path.dirname(os.path.dirname(__file__)))
+
+import pandas as pd
+import numpy as np
+from src.indicators.technical import compute_all_indicators
+from src.backtester.engine import Backtester
+
+from src.strategies_pkg.s7_liquidity_sweep import S7_Liquidity_Sweep
+from src.strategies_pkg.s9_london_session import S9_London_Session
+from src.strategies_pkg.s3_key_level_breakout import S3_KeyLevel_Breakout
+from src.strategies_pkg.s8_order_block import S8_Order_Block
+
+DATA_DIR = os.path.join(os.path.dirname(os.path.dirname(__file__)), "data", "2025")
+RESULTS_DIR = os.path.join(os.path.dirname(os.path.dirname(__file__)), "results", "2025_validation")
+os.makedirs(RESULTS_DIR, exist_ok=True)
+
+# 2025 test period (warmup from Oct 2024 is in the data files)
+TEST_START = "2025-01-01"
+TEST_END = "2025-12-31"
+
+
+def _s8_tuned():
+    s = S8_Order_Block()
+    s.DISPLACEMENT_ATR = 2.5
+    s.TP1_ATR_MULT = 2.0
+    s.OB_RETEST_WINDOW = 40
+    return s
+
+
+CONFIGS = [
+    {"name": "S7_Tight", "pair": "GBP_JPY", "tf": "H1", "htf_tf": "H1",
+     "factory": lambda: S7_Liquidity_Sweep()},
+    {"name": "S9_Filtered", "pair": "GBP_AUD", "tf": "H1", "htf_tf": "H1",
+     "factory": lambda: S9_London_Session(pair="GBP_AUD", filtered=True)},
+    {"name": "S3", "pair": "GBP_JPY", "tf": "H1", "htf_tf": "H1",
+     "factory": lambda: S3_KeyLevel_Breakout()},
+    {"name": "S8_OB", "pair": "GBP_USD", "tf": "M15", "htf_tf": "H1",
+     "factory": _s8_tuned},
+]
+
+
+def load_data(pair, tf):
+    fp = os.path.join(DATA_DIR, f"{pair}_{tf}.csv")
+    if not os.path.exists(fp):
+        print(f"  WARNING: {fp} not found")
+        return None
+    df = pd.read_csv(fp, index_col=0, parse_dates=True)
+    df.index.name = "timestamp"
+    return compute_all_indicators(df)
+
+
+def run_backtest(cfg, data, htf_data):
+    """Run backtester on full data, filter trades to 2025."""
+    if len(data) < 250:
+        print(f"    Insufficient data ({len(data)} bars)")
+        return pd.DataFrame()
+
+    strategy = cfg["factory"]()
+    bt = Backtester(data=data, strategy=strategy, pair=cfg["pair"],
+                    starting_equity=100_000.0, htf_data=htf_data)
+    bt.run()
+    trade_log = bt.get_trade_log_df()
+
+    # Filter to only 2025 trades
+    if not trade_log.empty:
+        ts = pd.to_datetime(trade_log["timestamp"])
+        start_ts = pd.Timestamp(TEST_START)
+        end_ts = pd.Timestamp(f"{TEST_END} 23:59:59")
+        if ts.dt.tz is not None:
+            start_ts = start_ts.tz_localize(ts.dt.tz)
+            end_ts = end_ts.tz_localize(ts.dt.tz)
+        trade_log = trade_log[(ts >= start_ts) & (ts <= end_ts)]
+
+    return trade_log
+
+
+def compute_metrics(trade_log):
+    if trade_log.empty or len(trade_log) == 0:
+        return {
+            "trades": 0, "wr": 0, "pf": 0, "sharpe": 0,
+            "pnl_pips": 0, "max_dd_pips": 0, "expectancy": 0,
+        }
+
+    n = len(trade_log)
+    wins = trade_log[trade_log["win"] == True]
+    losses = trade_log[trade_log["win"] == False]
+
+    wr = len(wins) / n * 100 if n > 0 else 0
+    gross_profit = wins["pnl_pips"].sum() if len(wins) > 0 else 0
+    gross_loss = abs(losses["pnl_pips"].sum()) if len(losses) > 0 else 0
+    pf = gross_profit / gross_loss if gross_loss > 0 else float("inf")
+    total_pnl = trade_log["pnl_pips"].sum()
+    expectancy = total_pnl / n if n > 0 else 0
+
+    if n > 1:
+        pnl_series = trade_log["pnl_pips"]
+        sharpe = (pnl_series.mean() / pnl_series.std()) * np.sqrt(252) \
+            if pnl_series.std() > 0 else 0
+    else:
+        sharpe = 0
+
+    cum_pnl = trade_log["pnl_pips"].cumsum()
+    peak = cum_pnl.cummax()
+    dd = cum_pnl - peak
+    max_dd = dd.min() if len(dd) > 0 else 0
+
+    return {
+        "trades": n,
+        "wr": round(wr, 1),
+        "pf": round(pf, 2),
+        "sharpe": round(sharpe, 2),
+        "pnl_pips": round(total_pnl, 1),
+        "max_dd_pips": round(max_dd, 1),
+        "expectancy": round(expectancy, 2),
+    }
+
+
+def main():
+    t0 = time.time()
+    all_results = {}
+    all_trade_logs = []
+
+    print(f"{'='*100}")
+    print("2025 FORWARD VALIDATION — 4 Passing Phase 2 Strategies")
+    print(f"  Test period: {TEST_START} to {TEST_END}")
+    print(f"  Data dir: {DATA_DIR}")
+    print(f"{'='*100}")
+
+    # Reference: Phase 2 IS/OOS results for comparison
+    print(f"\n  Reference (Phase 2 results):")
+    print(f"  {'Strategy':<14} {'IS PF':>6} {'OOS PF':>7} {'Gen':>6}")
+    print(f"  {'-'*40}")
+    ref = {
+        "S7_Tight":     (1.52, 1.80, 1.272),
+        "S9_Filtered":  (1.31, 2.26, 1.712),
+        "S3":           (1.22, 1.23, 1.068),
+        "S8_OB":        (1.39, 1.59, 1.397),
+    }
+    for name, (is_pf, oos_pf, gen) in ref.items():
+        print(f"  {name:<14} {is_pf:>6.2f} {oos_pf:>7.2f} {gen:>6.3f}")
+
+    print(f"\n{'='*100}")
+    print("2025 RESULTS")
+    print(f"{'='*100}")
+
+    data_cache = {}
+
+    for cfg in CONFIGS:
+        name = cfg["name"]
+        pair = cfg["pair"]
+        tf = cfg["tf"]
+        htf_tf = cfg["htf_tf"]
+
+        print(f"\n  {name} / {pair} ({tf})...")
+
+        # Load primary data
+        cache_key = f"{pair}_{tf}"
+        if cache_key not in data_cache:
+            data_cache[cache_key] = load_data(pair, tf)
+        data = data_cache[cache_key]
+        if data is None:
+            continue
+
+        # Load HTF data
+        if htf_tf == tf:
+            htf_data = data
+        else:
+            htf_key = f"{pair}_{htf_tf}"
+            if htf_key not in data_cache:
+                data_cache[htf_key] = load_data(pair, htf_tf)
+            htf_data = data_cache[htf_key]
+        if htf_data is None:
+            continue
+
+        # Run backtest
+        trade_log = run_backtest(cfg, data, htf_data)
+        metrics = compute_metrics(trade_log)
+
+        pf_str = f"{metrics['pf']:.2f}" if metrics['pf'] != float('inf') else "inf"
+        print(f"    2025: {metrics['trades']:>4}t  WR={metrics['wr']:>5.1f}%  "
+              f"PF={pf_str:>5}  Sharpe={metrics['sharpe']:>6.2f}  "
+              f"PnL={metrics['pnl_pips']:>+8.1f}p  DD={metrics['max_dd_pips']:>+7.1f}p  "
+              f"Exp={metrics['expectancy']:>+6.2f}")
+
+        # Save trade log
+        if not trade_log.empty:
+            trade_log.to_csv(
+                os.path.join(RESULTS_DIR, f"trades_{name}_2025.csv"), index=False)
+            all_trade_logs.append(trade_log)
+
+        all_results[name] = {
+            "pair": pair, "timeframe": tf,
+            "metrics_2025": metrics,
+        }
+
+    # Portfolio aggregate
+    print(f"\n{'='*100}")
+    print("PORTFOLIO AGGREGATE — 2025")
+    print(f"{'='*100}")
+
+    if all_trade_logs:
+        combined = pd.concat(all_trade_logs, ignore_index=True)
+        port_metrics = compute_metrics(combined)
+        combined.to_csv(
+            os.path.join(RESULTS_DIR, "trades_portfolio_2025.csv"), index=False)
+    else:
+        port_metrics = compute_metrics(pd.DataFrame())
+
+    pf_str = f"{port_metrics['pf']:.2f}" if port_metrics['pf'] != float('inf') else "inf"
+    print(f"  PORTFOLIO: {port_metrics['trades']:>4}t  WR={port_metrics['wr']:>5.1f}%  "
+          f"PF={pf_str:>5}  Sharpe={port_metrics['sharpe']:>6.2f}  "
+          f"PnL={port_metrics['pnl_pips']:>+8.1f}p  DD={port_metrics['max_dd_pips']:>+7.1f}p  "
+          f"Exp={port_metrics['expectancy']:>+6.2f}")
+
+    all_results["_portfolio"] = {"metrics_2025": port_metrics}
+
+    # Comparison table
+    print(f"\n{'='*100}")
+    print("COMPARISON: Phase 2 vs 2025")
+    print(f"{'='*100}")
+    print(f"  {'Strategy':<14} {'IS PF':>6} {'OOS PF':>7} {'2025 PF':>8} "
+          f"{'2025 t':>7} {'2025 WR%':>9} {'2025 PnL':>9} {'Verdict':>8}")
+    print(f"  {'-'*75}")
+
+    for name in ["S7_Tight", "S9_Filtered", "S3", "S8_OB"]:
+        if name not in all_results:
+            continue
+        is_pf, oos_pf, _ = ref[name]
+        m = all_results[name]["metrics_2025"]
+        pf_2025 = f"{m['pf']:.2f}" if m['pf'] != float('inf') else "inf"
+        verdict = "PASS" if m["pf"] > 1.0 and m["trades"] >= 5 else "FAIL"
+        print(f"  {name:<14} {is_pf:>6.2f} {oos_pf:>7.2f} {pf_2025:>8} "
+              f"{m['trades']:>7} {m['wr']:>8.1f}% {m['pnl_pips']:>+9.1f} {verdict:>8}")
+
+    pf_2025 = f"{port_metrics['pf']:.2f}" if port_metrics['pf'] != float('inf') else "inf"
+    port_verdict = "PASS" if port_metrics["pf"] > 1.0 and port_metrics["trades"] >= 10 else "FAIL"
+    print(f"  {'PORTFOLIO':<14} {'1.31':>6} {'1.55':>7} {pf_2025:>8} "
+          f"{port_metrics['trades']:>7} {port_metrics['wr']:>8.1f}% "
+          f"{port_metrics['pnl_pips']:>+9.1f} {port_verdict:>8}")
+
+    # Save JSON
+    out_path = os.path.join(RESULTS_DIR, "validation_2025.json")
+
+    def json_default(obj):
+        if isinstance(obj, (np.integer,)):
+            return int(obj)
+        if isinstance(obj, (np.floating,)):
+            return float(obj)
+        if isinstance(obj, (np.bool_,)):
+            return bool(obj)
+        return str(obj)
+
+    with open(out_path, "w") as f:
+        json.dump(all_results, f, indent=2, default=json_default)
+    print(f"\nResults saved: {out_path}")
+
+    elapsed = time.time() - t0
+    print(f"Total runtime: {elapsed:.1f}s")
+
+
+if __name__ == "__main__":
+    main()