25 Sep 2026 at 14:24:18

Long Trade on PONS (BosPullback)

With 347.5 PONS at 0.642$ per unit. Take profit: 0.6921 (7.84 %) & Stop Loss: 0.6187 (3.6 %)

Long BosPullback on PONS (25 Sep 2026 at 14:24:18 to 00:10:00 - 1 day )

With 347.5047 PONS at 0.6418$ per unit.

Position size of 223.0181 $
Take profit at 0.6921 (7.84 %) and Stop Loss at 0.6187 (3.6 %)

That's a 2.18 RR Trade
Duration: 1 day

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 5.83
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 14:01

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 ↔ neutral range range moderate grind compression range_high
47%
25/09 16:00
1h ↔ neutral range range moderate grind normal bear_high
74%
25/09 18:00
15m ↔ neutral range range moderate grind normal bull_high
69%
25/09 18:00
5m ↔ neutral range range moderate balanced compression range_medium
45%
25/09 18:15

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.86
  3. reason: bos_pullback_long|score=2|shallow|bars_since_bos=7|retests=1|break_atr=0.63|prog=0.53|zone=weak|ob:bid_pressure(+0.07)
  4. stop_price: 0.61874873
  5. tp_price: 0.692095
  6. atr:
  7. score: 0.79
  8. confidence_pre_ob: 0.79
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 : 1.3753
  15. low_delta_atr : 0.9979
  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 : -2.3412
  24. distance_to_last_high_atr : -1.1879
  25. distance_to_last_low_atr : 1.3433
  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:
    146
  32. ¸
  33. trend_analyzer_1h
  34. direction : neutral
  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 : 0.482
  46. state : neutral_range_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.5862
  49. scores_strength_score:
    0.5205
  50. scores_quality_score:
    0.3615
  51. scores_cleanliness_score:
    0.2167
  52. scores_structural_quality:
    0.48
  53. scores_pullback_score:
    0.7172
  54. scores_exhaustion_score:
    0.2668
  55. scores_continuation_score:
    0.5294
  56. scores_structure_score:
    0.6252
  57. scores_volatility_expansion:
    0.5466
  58. scores_momentum_type_score:
    0.5729
  59. scores_risk_score:
    0.432
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0101
  62. features_ema50_slope:
    0.0006
  63. features_ema_alignment_score:
    0.6667
  64. features_price_vs_ema20:
    0.4906
  65. features_price_vs_ema50:
    0.4272
  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:
    7
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5667
  72. features_trend_efficiency:
    0.4011
  73. features_impulse_strength:
    3.6888
  74. features_directional_candle_ratio:
    0.55
  75. features_pullback_depth_ratio:
    0.7172
  76. features_pullback_depth_atr:
    2.6456
  77. features_extension_from_mean:
    0.4272
  78. features_impulse_decay_score:
    0.4124
  79. features_opposing_wick_pressure:
    0.2579
  80. features_volatility_percentile:
    0.36
  81. features_volatility_delta:
    0.1959
  82. features_body_ratio:
    0.4862
  83. features_closes_position_ratio:
    0.5186
  84. features_slope_consistency:
    0.6685
  85. features_range_position:
    0.432
  86. features_distance_to_recent_high:
    -6.3846
  87. features_distance_to_recent_low:
    4.8551
  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 : 0.1707
  99. obi_top10 : 0.1164
  100. micro_price : 0.64131578
  101. spread_pct : 0.043665
  102. mid_price : 0.64139
  103. bid_wall_price : 0.64
  104. bid_wall_size : 68926.8
  105. bid_wall_dist_atr :
  106. ask_wall_price : 0.643
  107. ask_wall_size : 55360
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.1807
  111. obi_top5_std : 0.0177
  112. pressure_side : bid
  113. collection_mode : ws_rolling
  114. collection_ms : 6989
  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] => LH
    )
    
  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
1.375
Low Δ ATR
0.998

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.
-2.341
Dist High ATR
-1.188
Dist Low ATR
1.343
28 pivots · 27 swings · Last pivot: ↓ 0.6203 @ bar 146

Trend Analyzer 1H

1H ↔ neutral neutral_range_grind
Confidence 48%

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 0.586
Strength Score 0.521
Quality Score 0.362
Cleanliness Score 0.217
Structural Quality 0.480
Pullback Score 0.717
Exhaustion Score 0.267
Continuation Score 0.529
Structure Score 0.625
Volatility Expansion 0.547
Momentum Type Score 0.573
Risk Score 0.432
Features
Ema20 Slope
0.010
Ema50 Slope
0.001
Ema Alignment Score
0.667
Price Vs Ema20
0.491
Price Vs Ema50
0.427
Recent Hh Hl Score
0.550
Recent Lh Ll Score
0.450
Last Bos Direction
1.000
Bars Since Last Bos
7.000
Candle Overlap Ratio
1.000
Wick Ratio
0.567
Trend Efficiency
0.401
Impulse Strength
3.689
Directional Candle Ratio
0.550
Pullback Depth Ratio
0.717
Pullback Depth Atr
2.646
Extension From Mean
0.427
Impulse Decay Score
0.412
Opposing Wick Pressure
0.258
Volatility Percentile
0.360
Volatility Delta
0.196
Body Ratio
0.486
Closes Position Ratio
0.519
Slope Consistency
0.669
Range Position
0.432
Distance To Recent High
-6.385
Distance To Recent Low
4.855
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

↑ bid ws_rolling 5 snapshots 6989ms Confidence avant OB : 79% → 86%

Order Book Imbalance

OBI Top 5 0.171
avg 0.181 ± 0.018
OBI Top 10 0.116

Microstructure

Mid Price
0.6414
Micro Price
0.6413
Spread
0.0437%

↑ Bid Wall (Support)

Price
0.6400
Size
68,926.80

↓ Ask Wall (Resistance)

Price
0.6430
Size
55,360.00

📌 Time Data

Start at Closed at Duration
25 Sep 2026
14:24:18
27 Sep 2026
00:10:00
1 day

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.6418 0.6187 0.6921 2.18 0.2463
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 0.6418
  • Stop Loss: 0.6187
  • Take Profit: 0.6921

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.6187 - 0.6418 = -0.0231

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.6418 - 0.6921 = -0.0503

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0503 / -0.0231 = 2.1775

📌 Position Size

Amount Margin Quantity Leverage
223.0181 100 347.5047 2.23
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 -0.0231

Taille de position = 8 / -0.0231 = -346.32

Taille de position USD = -346.32 x 0.6418 = -222.27

Donc, tu peux acheter -346.32 avec un stoploss a 0.6187

Avec un position size USD de -222.27$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -346.32 x -0.0231 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -346.32 x -0.0503 = 17.42

Si Take Profit atteint, tu gagneras 17.42$

Résumé

  • Taille de position -346.32
  • Taille de position USD -222.27
  • Perte potentielle 8
  • Gain potentiel 17.42
  • Risk-Reward Ratio 2.1775

📌 Peformances

TP % Target TP $ Target
7.84 % 17.48 $
SL % Target SL $ Target
3.6 % 8.03 $
PNL PNL %
-8.03 $ -3.60
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-4.1384 % 114.98 % 50

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0077199999999999
            [max_drawdown] => 0.00239
            [rr_ratio] => 3.23
            [high] => 0.64952000
            [low] => 0.63941000
            [mfe_pct] => 1.2
            [mae_pct] => 0.37
            [mfe_mae_ratio] => 3.23
            [candles_analyzed] => 24
            [start_at] => 2026-09-25T14:24:18-04:00
            [end_at] => 2026-09-25T16:24:18-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.02777
            [max_drawdown] => 0.01337
            [rr_ratio] => 2.08
            [high] => 0.66957000
            [low] => 0.62843000
            [mfe_pct] => 4.33
            [mae_pct] => 2.08
            [mfe_mae_ratio] => 2.08
            [candles_analyzed] => 84
            [start_at] => 2026-09-25T14:24:18-04:00
            [end_at] => 2026-09-25T21:24:18-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.64486000
            [high_after] => 0.66957000
            [low_before] => 0.62033000
            [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
#6 / n/a OK
seuil : top 15 · score du 25/09/2026 14:00
Signal Confidence
86 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime