01 Jun 2026 at 06:11:27

Long Trade on TON (BosPullback)

With 131.67 TON at 1.951$ per unit. Take profit: 2.1032 (7.78 %) & Stop Loss: 1.8905 (3.12 %)

Long BosPullback on TON (01 Jun 2026 at 06:11:27 to 07:45:00 - 1 hour )

With 131.6717 TON at 1.9513$ per unit.

Position size of 256.931 $
Take profit at 2.1032 (7.78 %) and Stop Loss at 1.8905 (3.12 %)

That's a 2.5 RR Trade
Duration: 1 hour

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -80
ML Pullback Score: 4.63
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 : bear_medium

rules_regime_5m : range_low

Score : 0

ml_regime : range_high

rules_regime : bear_high

rules_regime_4h : bear_medium

tf_aligned : 1

01/06 06:01

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 transition bearish_transition moderate grind expansion bull_high
78%
01/06 04:00
1h ↑ up early_expansion bullish_transition moderate balanced expansion bull_high
78%
01/06 10:00
15m ↔ neutral range range moderate grind compression bull_high
69%
01/06 10:00
5m ↔ neutral transition bearish_transition moderate grind compression range_medium
42%
01/06 10:05

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.93
  3. reason: bos_pullback_long|score=3|shallow|bars_since_bos=6|retests=1|break_atr=1.32|prog=0.45|zone=tested|ob:bid_pressure(+0.07)
  4. stop_price: 1.89054283
  5. tp_price: 2.10319293
  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 : pullback_up
  11. confidence : 0.968
  12. trend_strength : 0.1482
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.9689
  15. low_delta_atr : 1.6086
  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 : 0.175
  24. distance_to_last_high_atr : -1.794
  25. distance_to_last_low_atr : 1.4728
  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:
    143
  32. ¸
  33. trend_analyzer_1h
  34. direction : up
  35. phase : early_expansion
  36. structure : bullish_transition
  37. breakout_state : none
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : medium
  41. momentum_type : balanced
  42. volatility_regime : expansion
  43. htf_context : unknown
  44. risk_state : premium
  45. confidence : 0.607
  46. state : up_early_expansion_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.7257
  49. scores_strength_score:
    0.5829
  50. scores_quality_score:
    0.3354
  51. scores_cleanliness_score:
    0.2596
  52. scores_structural_quality:
    0.3975
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.3929
  55. scores_continuation_score:
    0.5474
  56. scores_structure_score:
    0.6909
  57. scores_volatility_expansion:
    0.8782
  58. scores_momentum_type_score:
    0.6868
  59. scores_risk_score:
    0.7785
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0567
  62. features_ema50_slope:
    0.0649
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.7574
  65. features_price_vs_ema50:
    1.7924
  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:
    6
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.4808
  72. features_trend_efficiency:
    0.5104
  73. features_impulse_strength:
    3.5817
  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:
    1.7924
  78. features_impulse_decay_score:
    0.438
  79. features_opposing_wick_pressure:
    0.2433
  80. features_volatility_percentile:
    0.84
  81. features_volatility_delta:
    0.2613
  82. features_body_ratio:
    0.5884
  83. features_closes_position_ratio:
    0.5628
  84. features_slope_consistency:
    0.8151
  85. features_range_position:
    0.7785
  86. features_distance_to_recent_high:
    -1.7189
  87. features_distance_to_recent_low:
    6.0426
  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 : 0.1951
  99. obi_top10 : 0.0732
  100. micro_price : 1.95136289
  101. spread_pct : 0.046137
  102. mid_price : 1.95115
  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 : 0.2012
  111. obi_top5_std : 0.0061
  112. pressure_side : bid
  113. collection_mode : ws_rolling
  114. collection_ms : 7187
  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 09:45:00
        [price] => 1.9071
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-31 10:45:00
        [price] => 1.8675
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-31 12:15:00
        [price] => 1.924
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-31 14:15:00
        [price] => 1.8529
        [kind] => low
        [label] => LL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-31 15:30:00
        [price] => 1.921
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-31 17:00:00
        [price] => 1.8451
        [kind] => low
        [label] => LL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-31 17:45:00
        [price] => 1.8751
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-31 19:00:00
        [price] => 1.8333
        [kind] => low
        [label] => LL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-31 22:15:00
        [price] => 1.9065
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-31 23:30:00
        [price] => 1.8822
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-06-01 00:45:00
        [price] => 1.9446
        [kind] => high
        [label] => HH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-06-01 01:45:00
        [price] => 1.8949
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-06-01 04:00:00
        [price] => 2.02
        [kind] => high
        [label] => HH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-06-01 04:45:00
        [price] => 1.9508
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-06-01 05:00:00
        [price] => 2.0003
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-06-01 06:00:00
        [price] => 1.921
        [kind] => low
        [label] => LL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-06-01 07:15:00
        [price] => 1.9619
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-06-01 09:45:00
        [price] => 1.9184
        [kind] => low
        [label] => HL
    )
    
  161. bos_level_long : 1.9446
  162. bos_level_short : 0
  163. strategy_details
  164. levels_hl_price:
    1.8949
  165. levels_hl_timestamp: 2026-06-01 01:00:00
  166. levels_hh_price:
    2.02
  167. levels_lh_price:
    2.02
  168. levels_lh_timestamp: 2026-06-01 04:00:00
  169. levels_ll_price:
    1.8949
  170. strategy_details
  171. demand_zone_top:
    1.8751
  172. demand_zone_bottom:
    1.8333
  173. demand_zone_mid:
    1.8542
  174. demand_zone_freshness: tested
  175. demand_zone_strength:
    0.8841
  176. supply_zone :
  177. ¸
  178. regimes
  179. 1H : bull_high
  180. 15m : bull_high
  181. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 97%

Trend

Trend Strength
0.148
Persistence
0.500
High Δ ATR
1.969
Low Δ ATR
1.609

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.
0.175
Dist High ATR
-1.794
Dist Low ATR
1.473
30 pivots · 29 swings · Last pivot: ↑ 2.0200 @ bar 143

Trend Analyzer 1H

1H ↑ up up_early_expansion_balanced
Confidence 61%

Context

phase early_expansion
structure bullish_transition
breakout none
quality volatile
strength moderate
exhaustion medium
momentum balanced
volatility expansion
risk premium
htf unknown
Scores
Direction Score 0.726
Strength Score 0.583
Quality Score 0.335
Cleanliness Score 0.260
Structural Quality 0.398
Pullback Score 1.000
Exhaustion Score 0.393
Continuation Score 0.547
Structure Score 0.691
Volatility Expansion 0.878
Momentum Type Score 0.687
Risk Score 0.779
Features
Ema20 Slope
0.057
Ema50 Slope
0.065
Ema Alignment Score
1.000
Price Vs Ema20
0.757
Price Vs Ema50
1.792
Recent Hh Hl Score
0.600
Recent Lh Ll Score
0.400
Last Bos Direction
1.000
Bars Since Last Bos
6.000
Candle Overlap Ratio
1.000
Wick Ratio
0.481
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
1.792
Impulse Decay Score
0.438
Opposing Wick Pressure
0.243
Volatility Percentile
0.840
Volatility Delta
0.261
Body Ratio
0.588
Closes Position Ratio
0.563
Slope Consistency
0.815
Range Position
0.779
Distance To Recent High
-1.719
Distance To Recent Low
6.043
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

↑ bid ws_rolling 5 snapshots 7187ms Confidence avant OB : 86%93%

Order Book Imbalance

OBI Top 5 0.195
avg 0.201 ± 0.006
OBI Top 10 0.073

Microstructure

Mid Price
1.9512
Micro Price
1.9514
Spread
0.0461%

📌 Time Data

Start at Closed at Duration
01 Jun 2026
06:11:27
01 Jun 2026
07:45:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.9513 1.8905 2.1032 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 1.9513
  • Stop Loss: 1.8905
  • Take Profit: 2.1032

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.8905 - 1.9513 = -0.0608

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.9513 - 2.1032 = -0.1519

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.1519 / -0.0608 = 2.4984

📌 Position Size

Amount Margin Quantity Leverage
256.931 100 131.6717 2.57
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 -0.0608

Taille de position = 8 / -0.0608 = -131.58

Taille de position USD = -131.58 x 1.9513 = -256.75

Donc, tu peux acheter -131.58 avec un stoploss a 1.8905

Avec un position size USD de -256.75$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -131.58 x -0.0608 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -131.58 x -0.1519 = 19.99

Si Take Profit atteint, tu gagneras 19.99$

Résumé

  • Taille de position -131.58
  • Taille de position USD -256.75
  • Perte potentielle 8
  • Gain potentiel 19.99
  • Risk-Reward Ratio 2.4984

📌 Peformances

TP % Target TP $ Target
7.78 % 20 $
SL % Target SL $ Target
3.12 % 8.01 $
PNL PNL %
-8.01 $ -3.12
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-3.9563 % 126.97 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.1032
            [entry_price] => 1.9513
            [stop_loss] => 1.88442
            [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] => 2.1032
            [entry_price] => 1.9513
            [stop_loss] => 1.87834
            [rr_ratio] => 2.08
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-06-01 11:45:00+00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.1032
            [entry_price] => 1.9513
            [stop_loss] => 1.87226
            [rr_ratio] => 1.92
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-06-01 15:40:00+00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 2.1032
            [entry_price] => 1.9513
            [stop_loss] => 1.8601
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-06-01 15:40:00+00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0079
            [max_drawdown] => 0.0772
            [rr_ratio] => 0.1
            [high] => 1.95920000
            [low] => 1.87410000
            [mfe_pct] => 0.4
            [mae_pct] => 3.96
            [mfe_mae_ratio] => 0.1
            [candles_analyzed] => 24
            [start_at] => 2026-06-01T06:11:27-04:00
            [end_at] => 2026-06-01T08:11:27-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.3282
            [max_drawdown] => 0.0772
            [rr_ratio] => 4.25
            [high] => 2.27950000
            [low] => 1.87410000
            [mfe_pct] => 16.82
            [mae_pct] => 3.96
            [mfe_mae_ratio] => 4.25
            [candles_analyzed] => 84
            [start_at] => 2026-06-01T06:11:27-04:00
            [end_at] => 2026-06-01T13:11:27-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.96190000
            [high_after] => 2.15280000
            [low_before] => 1.91840000
            [low_after] => 1.87410000
            [is_new_high] => 1
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#20 / 80 OUT
seuil : top 15 · score du 01/06/2026 06:00
Signal Confidence
93 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime