25 Sep 2026 at 16:12:19

Long Trade on PONS (BosPullback)

With 299.04 PONS at 0.646$ per unit. Take profit: 0.6921 (7.2 %) & Stop Loss: 0.6189 (4.14 %)

Long BosPullback on PONS (25 Sep 2026 at 16:12:19 to 00:10:00 - 1 day )

With 299.0389 PONS at 0.6456$ per unit.

Position size of 193.0745 $
Take profit at 0.6921 (7.2 %) and Stop Loss at 0.6189 (4.14 %)

That's a 1.74 RR Trade
Duration: 1 day

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 3.09
Prediction Score:
Prediction 1 Probability
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
BTC Market Regime BTC Market Regime V2

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

Score : 0

ml_regime : range_high

rules_regime : bull_high

rules_regime_4h : bull_medium

tf_aligned : 1

25/09 16:00

BTC Correlation Coin Market Regime

1H_regime : bull_high

15m_regime : bull_high

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↑ up range range moderate grind compression bull_high
79%
25/09 20:00
1h ↑ up range range moderate grind normal bull_high
77%
25/09 20:00
15m ↔ neutral range range moderate balanced compression bull_high
70%
25/09 20:00
5m ↔ neutral range range moderate grind compression range_medium
47%
25/09 20:05

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.86
  3. reason: bos_pullback_long|score=3|shallow|bars_since_bos=9|retests=1|break_atr=0.67|prog=0.64|zone=weak
  4. stop_price: 0.61889763
  5. tp_price: 0.692095
  6. atr:
  7. score: 0.86
  8. confidence_pre_ob: 0.86
Details
  1. 1H:
  2. 15m:
  3. 5m:
  4. btc_indicators
  5. ¸
  6. market_structures
  7. ¸
  8. market_structure_v2
  9. timeframe : 1h
  10. state : range
  11. confidence : 0.773
  12. trend_strength : -0.1134
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.4589
  15. low_delta_atr : 1.0585
  16. current_swing_amp_atr : 2.4065
  17. current_swing_speed : 0.60163
  18. current_swing_efficiency : 0.4011
  19. retracement_ratio : 0.7172
  20. extension_ratio : 1.1752
  21. compression_score : 1.0447
  22. swing_entropy : 1
  23. breakout_strength : -2.7766
  24. distance_to_last_high_atr : -0.9669
  25. distance_to_last_low_atr : 1.7181
  26. pivot_count : 28
  27. swing_count : 27
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    0.62033
  31. last_pivot_index:
    144
  32. ¸
  33. trend_analyzer_1h
  34. direction : up
  35. phase : range
  36. structure : range
  37. breakout_state : none
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : low
  41. momentum_type : grind
  42. volatility_regime : normal
  43. htf_context : unknown
  44. risk_state : mid_range
  45. confidence : 0.519
  46. state : up_range_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.6734
  49. scores_strength_score:
    0.503
  50. scores_quality_score:
    0.3635
  51. scores_cleanliness_score:
    0.2314
  52. scores_structural_quality:
    0.4717
  53. scores_pullback_score:
    0.7172
  54. scores_exhaustion_score:
    0.2932
  55. scores_continuation_score:
    0.5564
  56. scores_structure_score:
    0.6252
  57. scores_volatility_expansion:
    0.4535
  58. scores_momentum_type_score:
    0.5742
  59. scores_risk_score:
    0.431
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.036
  62. features_ema50_slope:
    0.0121
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.6913
  65. features_price_vs_ema50:
    0.7248
  66. features_recent_hh_hl_score:
    0.55
  67. features_recent_lh_ll_score:
    0.45
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    9
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5373
  72. features_trend_efficiency:
    0.4011
  73. features_impulse_strength:
    3.6888
  74. features_directional_candle_ratio:
    0.5
  75. features_pullback_depth_ratio:
    0.7172
  76. features_pullback_depth_atr:
    2.6456
  77. features_extension_from_mean:
    0.7248
  78. features_impulse_decay_score:
    0.4124
  79. features_opposing_wick_pressure:
    0.2594
  80. features_volatility_percentile:
    0.22
  81. features_volatility_delta:
    0.1822
  82. features_body_ratio:
    0.5097
  83. features_closes_position_ratio:
    0.5224
  84. features_slope_consistency:
    0.6059
  85. features_range_position:
    0.431
  86. features_distance_to_recent_high:
    -6.8335
  87. features_distance_to_recent_low:
    5.1754
  88. features_had_recent_range:
    1
  89. features_had_recent_compression:
    0
  90. features_post_break_hl_count:
    1
  91. features_htf_trend_strength:
    
                                                                                                                                
  92. features_htf_compression_score:
    
                                                                                                                                
  93. features_htf_entropy_score:
    
                                                                                                                                
  94. features_htf_hh_hl_score:
    
                                                                                                                                
  95. features_htf_state_str:
    
                                                                                                                                
  96. ¸
  97. orderbook_context
  98. obi_top5 : 0.0824
  99. obi_top10 : 0.1599
  100. micro_price : 0.64648062
  101. spread_pct : 0.065002
  102. mid_price : 0.64634
  103. bid_wall_price :
  104. bid_wall_size :
  105. bid_wall_dist_atr :
  106. ask_wall_price : 0.651
  107. ask_wall_size : 51511
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.09
  111. obi_top5_std : 0.0081
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 6990
  115. aggregation_tick : 0.001
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : range
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-09-21 00:00:00
        [price] => 0.61338
        [kind] => high
        [label] => HH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-09-21 04:00:00
        [price] => 0.58265
        [kind] => low
        [label] => HL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-09-21 13:00:00
        [price] => 0.65628
        [kind] => high
        [label] => HH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-09-21 17:00:00
        [price] => 0.57639
        [kind] => low
        [label] => LL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-09-21 23:00:00
        [price] => 0.61704
        [kind] => high
        [label] => LH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-09-22 05:00:00
        [price] => 0.579
        [kind] => low
        [label] => HL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-09-22 13:00:00
        [price] => 0.65244
        [kind] => high
        [label] => HH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-09-22 14:00:00
        [price] => 0.60352
        [kind] => low
        [label] => HL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-09-22 22:00:00
        [price] => 0.72867
        [kind] => high
        [label] => HH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-09-23 02:00:00
        [price] => 0.68525
        [kind] => low
        [label] => HL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-09-23 03:00:00
        [price] => 0.73272
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-09-23 08:00:00
        [price] => 0.65689
        [kind] => low
        [label] => LL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-09-23 11:00:00
        [price] => 0.71244
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-09-23 14:00:00
        [price] => 0.64544
        [kind] => low
        [label] => LL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-09-23 15:00:00
        [price] => 0.68589
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-09-24 11:00:00
        [price] => 0.6022
        [kind] => low
        [label] => LL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-09-24 16:00:00
        [price] => 0.6384
        [kind] => high
        [label] => LH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-09-25 02:00:00
        [price] => 0.60473
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-09-25 11:00:00
        [price] => 0.6599
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-09-25 15:00:00
        [price] => 0.62033
        [kind] => low
        [label] => HL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-09-25 00:00:00
        [price] => 0.6218
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-09-25 00:30:00
        [price] => 0.61333
        [kind] => low
        [label] => HL
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-09-25 01:00:00
        [price] => 0.62428
        [kind] => high
        [label] => HH
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-09-25 01:45:00
        [price] => 0.60698
        [kind] => low
        [label] => LL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-09-25 02:00:00
        [price] => 0.62292
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-09-25 02:45:00
        [price] => 0.60473
        [kind] => low
        [label] => LL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-09-25 05:00:00
        [price] => 0.63003
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-09-25 07:00:00
        [price] => 0.60987
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-09-25 08:45:00
        [price] => 0.65321
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-09-25 09:15:00
        [price] => 0.64083
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-09-25 11:00:00
        [price] => 0.6599
        [kind] => high
        [label] => HH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-09-25 11:30:00
        [price] => 0.64392
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-09-25 12:00:00
        [price] => 0.65623
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-09-25 12:45:00
        [price] => 0.63661
        [kind] => low
        [label] => LL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-09-25 13:15:00
        [price] => 0.65352
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-09-25 14:00:00
        [price] => 0.62484
        [kind] => low
        [label] => LL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-09-25 15:00:00
        [price] => 0.64462
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-09-25 15:45:00
        [price] => 0.62033
        [kind] => low
        [label] => LL
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-09-25 16:15:00
        [price] => 0.63909
        [kind] => high
        [label] => LH
    )
    
  162. pivots_15m_19:
    Array
    (
        [time] => 2026-09-25 17:30:00
        [price] => 0.62262
        [kind] => low
        [label] => HL
    )
    
  163. bos_level_long : 0.6384
  164. bos_level_short : 0
  165. strategy_details
  166. levels_hl_price:
    0.62033
  167. levels_hl_timestamp: 2026-09-25 15:00:00
  168. levels_hh_price:
    0.6599
  169. levels_lh_price:
    0.6599
  170. levels_lh_timestamp: 2026-09-25 11:00:00
  171. levels_ll_price:
    0.62033
  172. strategy_details
  173. demand_zone_top:
    0.62428
  174. demand_zone_bottom:
    0.60473
  175. demand_zone_mid:
    0.614505
  176. demand_zone_freshness: weak
  177. demand_zone_strength:
    0.7284
  178. strategy_details
  179. supply_zone_top:
    0.6599
  180. supply_zone_bottom:
    0.64083
  181. supply_zone_mid:
    0.650365
  182. supply_zone_freshness: tested
  183. supply_zone_strength:
    0.8037
  184. ¸
  185. regimes
  186. 1H : bull_high
  187. 15m : bull_high
  188. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 77%

Trend

Trend Strength
-0.113
Persistence
0.500
High Δ ATR
1.459
Low Δ ATR
1.059

Current Swing

Amp ATR
2.407
Speed
0.602
Efficiency
0.401

Structure

Retracement
0.717
Extension
1.175
Compression
1.045
Entropy
1.000
Breakout Str.
-2.777
Dist High ATR
-0.967
Dist Low ATR
1.718
28 pivots · 27 swings · Last pivot: ↓ 0.6203 @ bar 144

Trend Analyzer 1H

1H ↑ up up_range_grind
Confidence 52%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum grind
volatility normal
risk mid_range
htf unknown
Scores
Direction Score 0.673
Strength Score 0.503
Quality Score 0.364
Cleanliness Score 0.231
Structural Quality 0.472
Pullback Score 0.717
Exhaustion Score 0.293
Continuation Score 0.556
Structure Score 0.625
Volatility Expansion 0.454
Momentum Type Score 0.574
Risk Score 0.431
Features
Ema20 Slope
0.036
Ema50 Slope
0.012
Ema Alignment Score
1.000
Price Vs Ema20
0.691
Price Vs Ema50
0.725
Recent Hh Hl Score
0.550
Recent Lh Ll Score
0.450
Last Bos Direction
1.000
Bars Since Last Bos
9.000
Candle Overlap Ratio
1.000
Wick Ratio
0.537
Trend Efficiency
0.401
Impulse Strength
3.689
Directional Candle Ratio
0.500
Pullback Depth Ratio
0.717
Pullback Depth Atr
2.646
Extension From Mean
0.725
Impulse Decay Score
0.412
Opposing Wick Pressure
0.259
Volatility Percentile
0.220
Volatility Delta
0.182
Body Ratio
0.510
Closes Position Ratio
0.522
Slope Consistency
0.606
Range Position
0.431
Distance To Recent High
-6.834
Distance To Recent Low
5.175
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 6990ms Confidence avant OB : 86% → 86%

Order Book Imbalance

OBI Top 5 0.082
avg 0.090 ± 0.008
OBI Top 10 0.160

Microstructure

Mid Price
0.6463
Micro Price
0.6465
Spread
0.0650%

↓ Ask Wall (Resistance)

Price
0.6510
Size
51,511.00

📌 Time Data

Start at Closed at Duration
25 Sep 2026
16:12:19
27 Sep 2026
00:10:00
1 day

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.6456 0.6189 0.6921 1.74 0.2483
Details
Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

  • Entry 0.6456
  • Stop Loss: 0.6189
  • Take Profit: 0.6921

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.6189 - 0.6456 = -0.0267

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.6456 - 0.6921 = -0.0465

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0465 / -0.0267 = 1.7416

📌 Position Size

Amount Margin Quantity Leverage
193.0745 100 299.0389 1.93
Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

  • Account Size 100
  • Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

  • Risk Amount 8
  • Distance Stop Loss -0.0267

Taille de position = 8 / -0.0267 = -299.63

Taille de position USD = -299.63 x 0.6456 = -193.44

Donc, tu peux acheter -299.63 avec un stoploss a 0.6189

Avec un position size USD de -193.44$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -299.63 x -0.0267 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -299.63 x -0.0465 = 13.93

Si Take Profit atteint, tu gagneras 13.93$

Résumé

  • Taille de position -299.63
  • Taille de position USD -193.44
  • Perte potentielle 8
  • Gain potentiel 13.93
  • Risk-Reward Ratio 1.7416

📌 Peformances

TP % Target TP $ Target
7.2 % 13.91 $
SL % Target SL $ Target
4.14 % 7.98 $
PNL PNL %
-7.98 $ -4.14
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-4.7026 % 113.71 % 40

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00526
            [max_drawdown] => 0.01717
            [rr_ratio] => 0.31
            [high] => 0.65086000
            [low] => 0.62843000
            [mfe_pct] => 0.81
            [mae_pct] => 2.66
            [mfe_mae_ratio] => 0.31
            [candles_analyzed] => 24
            [start_at] => 2026-09-25T16:12:19-04:00
            [end_at] => 2026-09-25T18:12:19-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.02397
            [max_drawdown] => 0.01717
            [rr_ratio] => 1.4
            [high] => 0.66957000
            [low] => 0.62843000
            [mfe_pct] => 3.71
            [mae_pct] => 2.66
            [mfe_mae_ratio] => 1.4
            [candles_analyzed] => 84
            [start_at] => 2026-09-25T16:12:19-04:00
            [end_at] => 2026-09-25T23:12:19-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.64851000
            [high_after] => 0.66957000
            [low_before] => 0.62262000
            [low_after] => 0.62843000
            [is_new_high] => 1
            [is_new_low] => 
        )

)

V2 Shadow Analysis

Ce trade aurait-il passé les filtres v2 (quality rank + confidence + régime) ?

Quality Rank
#5 / n/a OK
seuil : top 15 · score du 25/09/2026 16:00
Signal Confidence
86 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime