01 Jun 2026 at 02:54:57

Long Trade on TON (BosPullback)

With 148.88 TON at 1.944$ per unit. Take profit: 2.0781 (6.91 %) & Stop Loss: 1.8901 (2.76 %)

Long BosPullback on TON (01 Jun 2026 at 02:54:57 to 07:45:00 - 4 hours )

With 148.8848 TON at 1.9438$ per unit.

Position size of 289.4023 $
Take profit at 2.0781 (6.91 %) and Stop Loss at 1.8901 (2.76 %)

That's a 2.5 RR Trade
Duration: 4 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.73
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 : bear_low_vol

rules_regime : bear_medium_confirmed

rules_regime_5m : bear_low_confirmed

Score : 0

ml_regime : range_high

rules_regime : bear_high

rules_regime_4h : bear_medium

tf_aligned : 1

01/06 02:01

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 ↑ up transition bearish_transition moderate grind normal bull_high
80%
01/06 04:00
1h ↑ up transition bullish_transition moderate balanced volatile_reversal bull_high
66%
01/06 06:00
15m ↑ up range range strong grind expansion bull_high
73%
01/06 06:30
5m ↓ down range range strong grind compression range_medium
49%
01/06 06:50

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 1
  3. reason: bos_pullback_long|score=4|shallow|bars_since_bos=2|retests=1|break_atr=1.26|prog=0.41|zone=tested|ob:bid_pressure(+0.07)
  4. stop_price: 1.89006718
  5. tp_price: 2.07813204
  6. atr:
  7. score: 0.93
  8. confidence_pre_ob: 0.93
Details
  1. 1H:
  2. 15m:
  3. 5m:
  4. btc_indicators
  5. ¸
  6. market_structures
  7. ¸
  8. market_structure_v2
  9. timeframe : 1h
  10. state : pullback_up
  11. confidence : 0.923
  12. trend_strength : 0.1482
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.8689
  15. low_delta_atr : 1.5268
  16. current_swing_amp_atr : 3.21
  17. current_swing_speed : 1.07
  18. current_swing_efficiency : 0.5104
  19. retracement_ratio : 2.5171
  20. extension_ratio : 1.124
  21. compression_score : 1.1221
  22. swing_entropy : 1
  23. breakout_strength : 0.0397
  24. distance_to_last_high_atr : -1.8292
  25. distance_to_last_low_atr : 1.2715
  26. pivot_count : 30
  27. swing_count : 29
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    2.02
  31. last_pivot_index:
    147
  32. ¸
  33. trend_analyzer_1h
  34. direction : up
  35. phase : transition
  36. structure : bullish_transition
  37. breakout_state : fresh_breakout
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : low
  41. momentum_type : balanced
  42. volatility_regime : volatile_reversal
  43. htf_context : unknown
  44. risk_state : premium
  45. confidence : 0.604
  46. state : up_bullish_transition_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.7395
  49. scores_strength_score:
    0.583
  50. scores_quality_score:
    0.3443
  51. scores_cleanliness_score:
    0.2588
  52. scores_structural_quality:
    0.4142
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.3782
  55. scores_continuation_score:
    0.5574
  56. scores_structure_score:
    0.6909
  57. scores_volatility_expansion:
    0.976
  58. scores_momentum_type_score:
    0.6767
  59. scores_risk_score:
    0.7621
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.1487
  62. features_ema50_slope:
    0.0932
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.7161
  65. features_price_vs_ema50:
    1.6552
  66. features_recent_hh_hl_score:
    0.6
  67. features_recent_lh_ll_score:
    0.4
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    2
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.4824
  72. features_trend_efficiency:
    0.5104
  73. features_impulse_strength:
    3.5818
  74. features_directional_candle_ratio:
    0.6
  75. features_pullback_depth_ratio:
    2.5171
  76. features_pullback_depth_atr:
    3.8648
  77. features_extension_from_mean:
    1.6552
  78. features_impulse_decay_score:
    0.438
  79. features_opposing_wick_pressure:
    0.2325
  80. features_volatility_percentile:
    0.96
  81. features_volatility_delta:
    0.5533
  82. features_body_ratio:
    0.6025
  83. features_closes_position_ratio:
    0.5717
  84. features_slope_consistency:
    0.7011
  85. features_range_position:
    0.7621
  86. features_distance_to_recent_high:
    -1.5997
  87. features_distance_to_recent_low:
    5.1243
  88. features_had_recent_range:
    1
  89. features_had_recent_compression:
    0
  90. features_post_break_hl_count:
    0
  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 : 0.1728
  99. obi_top10 : 0.148
  100. micro_price : 1.94220178
  101. spread_pct : 0.005149
  102. mid_price : 1.94225
  103. bid_wall_price :
  104. bid_wall_size :
  105. bid_wall_dist_atr :
  106. ask_wall_price :
  107. ask_wall_size :
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.1772
  111. obi_top5_std : 0.0039
  112. pressure_side : bid
  113. collection_mode : ws_rolling
  114. collection_ms : 7116
  115. aggregation_tick : 0.01
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : pullback_up
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-05-29 08:00:00
        [price] => 1.7992
        [kind] => high
        [label] => LH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-29 14:00:00
        [price] => 1.7098
        [kind] => low
        [label] => LL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-29 17:00:00
        [price] => 1.8076
        [kind] => high
        [label] => HH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-29 22:00:00
        [price] => 1.7361
        [kind] => low
        [label] => HL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-30 02:00:00
        [price] => 1.7797
        [kind] => high
        [label] => LH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-30 04:00:00
        [price] => 1.7236
        [kind] => low
        [label] => LL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-30 18:00:00
        [price] => 1.8539
        [kind] => high
        [label] => HH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-30 19:00:00
        [price] => 1.8218
        [kind] => low
        [label] => HL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-30 23:00:00
        [price] => 1.8054
        [kind] => low
        [label] => LL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-31 00:00:00
        [price] => 1.9045
        [kind] => high
        [label] => HH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-31 02:00:00
        [price] => 1.8363
        [kind] => low
        [label] => HL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-31 06:00:00
        [price] => 1.8936
        [kind] => high
        [label] => LH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-31 08:00:00
        [price] => 1.8455
        [kind] => low
        [label] => HL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-31 12:00:00
        [price] => 1.924
        [kind] => high
        [label] => HH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-31 14:00:00
        [price] => 1.8529
        [kind] => low
        [label] => HL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-31 15:00:00
        [price] => 1.921
        [kind] => high
        [label] => LH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-31 19:00:00
        [price] => 1.8333
        [kind] => low
        [label] => LL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-06-01 00:00:00
        [price] => 1.9446
        [kind] => high
        [label] => HH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-06-01 01:00:00
        [price] => 1.8949
        [kind] => low
        [label] => HL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-06-01 04:00:00
        [price] => 2.02
        [kind] => high
        [label] => HH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-31 06:00:00
        [price] => 1.8936
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-31 07:30:00
        [price] => 1.8456
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-31 08:15:00
        [price] => 1.8726
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-31 08:45:00
        [price] => 1.8455
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-31 09:45:00
        [price] => 1.9071
        [kind] => high
        [label] => HH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-31 10:45:00
        [price] => 1.8675
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-31 12:15:00
        [price] => 1.924
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-31 14:15:00
        [price] => 1.8529
        [kind] => low
        [label] => LL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-31 15:30:00
        [price] => 1.921
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-31 17:00:00
        [price] => 1.8451
        [kind] => low
        [label] => LL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-31 17:45:00
        [price] => 1.8751
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-31 19:00:00
        [price] => 1.8333
        [kind] => low
        [label] => LL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-31 22:15:00
        [price] => 1.9065
        [kind] => high
        [label] => HH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-31 23:30:00
        [price] => 1.8822
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-06-01 00:45:00
        [price] => 1.9446
        [kind] => high
        [label] => HH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-06-01 01:45:00
        [price] => 1.8949
        [kind] => low
        [label] => HL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-06-01 04:00:00
        [price] => 2.02
        [kind] => high
        [label] => HH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-06-01 04:45:00
        [price] => 1.9508
        [kind] => low
        [label] => HL
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-06-01 05:00:00
        [price] => 2.0003
        [kind] => high
        [label] => LH
    )
    
  162. bos_level_long : 1.9446
  163. bos_level_short : 0
  164. strategy_details
  165. levels_hl_price:
    1.8949
  166. levels_hl_timestamp: 2026-06-01 01:00:00
  167. levels_hh_price:
    2.02
  168. levels_lh_price:
    2.02
  169. levels_lh_timestamp: 2026-06-01 04:00:00
  170. levels_ll_price:
    1.8949
  171. strategy_details
  172. demand_zone_top:
    1.8751
  173. demand_zone_bottom:
    1.8333
  174. demand_zone_mid:
    1.8542
  175. demand_zone_freshness: tested
  176. demand_zone_strength:
    0.8841
  177. supply_zone :
  178. ¸
  179. regimes
  180. 1H : bull_high
  181. 15m : bull_high
  182. ¸

Signaux confirmants (2)

# Heure Entry Δ
1 02:54 1.94380000 0%
2 02:59 1.94380000 0%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 92%

Trend

Trend Strength
0.148
Persistence
0.500
High Δ ATR
1.869
Low Δ ATR
1.527

Current Swing

Amp ATR
3.210
Speed
1.070
Efficiency
0.510

Structure

Retracement
2.517
Extension
1.124
Compression
1.122
Entropy
1.000
Breakout Str.
0.040
Dist High ATR
-1.829
Dist Low ATR
1.272
30 pivots · 29 swings · Last pivot: ↑ 2.0200 @ bar 147

Trend Analyzer 1H

1H ↑ up up_bullish_transition_balanced
Confidence 60%

Context

phase transition
structure bullish_transition
breakout fresh_breakout
quality volatile
strength moderate
exhaustion low
momentum balanced
volatility volatile_reversal
risk premium
htf unknown
Scores
Direction Score 0.740
Strength Score 0.583
Quality Score 0.344
Cleanliness Score 0.259
Structural Quality 0.414
Pullback Score 1.000
Exhaustion Score 0.378
Continuation Score 0.557
Structure Score 0.691
Volatility Expansion 0.976
Momentum Type Score 0.677
Risk Score 0.762
Features
Ema20 Slope
0.149
Ema50 Slope
0.093
Ema Alignment Score
1.000
Price Vs Ema20
0.716
Price Vs Ema50
1.655
Recent Hh Hl Score
0.600
Recent Lh Ll Score
0.400
Last Bos Direction
1.000
Bars Since Last Bos
2.000
Candle Overlap Ratio
1.000
Wick Ratio
0.482
Trend Efficiency
0.510
Impulse Strength
3.582
Directional Candle Ratio
0.600
Pullback Depth Ratio
2.517
Pullback Depth Atr
3.865
Extension From Mean
1.655
Impulse Decay Score
0.438
Opposing Wick Pressure
0.233
Volatility Percentile
0.960
Volatility Delta
0.553
Body Ratio
0.603
Closes Position Ratio
0.572
Slope Consistency
0.701
Range Position
0.762
Distance To Recent High
-1.600
Distance To Recent Low
5.124
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

↑ bid ws_rolling 5 snapshots 7116ms Confidence avant OB : 93%100%

Order Book Imbalance

OBI Top 5 0.173
avg 0.177 ± 0.004
OBI Top 10 0.148

Microstructure

Mid Price
1.9423
Micro Price
1.9422
Spread
0.0051%

📌 Time Data

Start at Closed at Duration
01 Jun 2026
02:54:57
01 Jun 2026
07:45:00
4 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.9438 1.8901 2.0781 2.5 1.6758
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 1.9438
  • Stop Loss: 1.8901
  • Take Profit: 2.0781

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.8901 - 1.9438 = -0.0537

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.9438 - 2.0781 = -0.1343

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.1343 / -0.0537 = 2.5009

📌 Position Size

Amount Margin Quantity Leverage
289.4023 100 148.8848 2.89
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 -0.0537

Taille de position = 8 / -0.0537 = -148.98

Taille de position USD = -148.98 x 1.9438 = -289.59

Donc, tu peux acheter -148.98 avec un stoploss a 1.8901

Avec un position size USD de -289.59$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -148.98 x -0.0537 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -148.98 x -0.1343 = 20.01

Si Take Profit atteint, tu gagneras 20.01$

Résumé

  • Taille de position -148.98
  • Taille de position USD -289.59
  • Perte potentielle 8
  • Gain potentiel 20.01
  • Risk-Reward Ratio 2.5009

📌 Peformances

TP % Target TP $ Target
6.91 % 20 $
SL % Target SL $ Target
2.76 % 8 $
PNL PNL %
-8 $ -2.76
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-3.5858 % 129.8 % 17

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.0781
            [entry_price] => 1.9438
            [stop_loss] => 1.88473
            [rr_ratio] => 2.27
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-06-01 11:45:00+00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.0781
            [entry_price] => 1.9438
            [stop_loss] => 1.87936
            [rr_ratio] => 2.08
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-06-01 11:45:00+00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0181
            [max_drawdown] => 0.0253
            [rr_ratio] => 0.72
            [high] => 1.96190000
            [low] => 1.91850000
            [mfe_pct] => 0.93
            [mae_pct] => 1.3
            [mfe_mae_ratio] => 0.72
            [candles_analyzed] => 24
            [start_at] => 2026-06-01T02:54:57-04:00
            [end_at] => 2026-06-01T04:54:57-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0181
            [max_drawdown] => 0.0697
            [rr_ratio] => 0.26
            [high] => 1.96190000
            [low] => 1.87410000
            [mfe_pct] => 0.93
            [mae_pct] => 3.59
            [mfe_mae_ratio] => 0.26
            [candles_analyzed] => 84
            [start_at] => 2026-06-01T02:54:57-04:00
            [end_at] => 2026-06-01T09:54:57-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.02000000
            [high_after] => 1.96190000
            [low_before] => 1.92100000
            [low_after] => 1.87410000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#14 / n/a OK
seuil : top 15 · score du 01/06/2026 02:00
Signal Confidence
100 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime