01 Jun 2026 at 08:55:15

Long Trade on TON (BosPullback)

With 109.07 TON at 1.943$ per unit. Take profit: 2.1266 (9.44 %) & Stop Loss: 1.8699 (3.77 %)

Long BosPullback on TON (01 Jun 2026 at 08:55:15 to 11:40:00 - 2 hours )

With 109.0676 TON at 1.9432$ per unit.

Position size of 211.9402 $
Take profit at 2.1266 (9.44 %) and Stop Loss at 1.8699 (3.77 %)

That's a 2.5 RR Trade
Duration: 2 hours

Results

Status:
win
Trade Type:
buy
ML Trade Score: 90
ML Pullback Score: 6.54
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

rules_regime : bear_medium_confirmed

rules_regime_5m : bear_low

Score : 0

ml_regime : range_high

rules_regime : bear_high

rules_regime_4h : bear_medium

tf_aligned : 1

01/06 08:01

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
77%
01/06 12:00
15m ↓ down transition bearish_transition moderate grind normal range_high
51%
01/06 12:30
5m ↔ neutral range range moderate balanced expansion range_medium
47%
01/06 12:45

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.79
  3. reason: bos_pullback_long|score=2|shallow|bars_since_bos=8|retests=1|break_atr=1.20|prog=0.52|zone=tested
  4. stop_price: 1.869851
  5. tp_price: 2.12657249
  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 : 0.866
  12. trend_strength : 0.0672
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.7811
  15. low_delta_atr : -0.4913
  16. current_swing_amp_atr : 3.6089
  17. current_swing_speed : 0.51556
  18. current_swing_efficiency : 0.397
  19. retracement_ratio : 1.1663
  20. extension_ratio : 2.9356
  21. compression_score : 0.9726
  22. swing_entropy : 1
  23. breakout_strength : -1.3087
  24. distance_to_last_high_atr : -1.6465
  25. distance_to_last_low_atr : 1.8
  26. pivot_count : 31
  27. swing_count : 30
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    1.8741
  31. last_pivot_index:
    148
  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 : expansion
  43. htf_context : unknown
  44. risk_state : premium
  45. confidence : 0.503
  46. state : up_range_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.609
  49. scores_strength_score:
    0.533
  50. scores_quality_score:
    0.3463
  51. scores_cleanliness_score:
    0.2583
  52. scores_structural_quality:
    0.4183
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.1854
  55. scores_continuation_score:
    0.563
  56. scores_structure_score:
    0.4268
  57. scores_volatility_expansion:
    0.9691
  58. scores_momentum_type_score:
    0.6407
  59. scores_risk_score:
    0.7753
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0264
  62. features_ema50_slope:
    0.045
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.6373
  65. features_price_vs_ema50:
    1.4492
  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:
    1
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.4833
  72. features_trend_efficiency:
    0.397
  73. features_impulse_strength:
    3.6089
  74. features_directional_candle_ratio:
    0.6
  75. features_pullback_depth_ratio:
    1.1663
  76. features_pullback_depth_atr:
    3.7438
  77. features_extension_from_mean:
    1.4492
  78. features_impulse_decay_score:
    0
  79. features_opposing_wick_pressure:
    0.2343
  80. features_volatility_percentile:
    0.96
  81. features_volatility_delta:
    0.2896
  82. features_body_ratio:
    0.6016
  83. features_closes_position_ratio:
    0.5719
  84. features_slope_consistency:
    0.7255
  85. features_range_position:
    0.7753
  86. features_distance_to_recent_high:
    -1.4888
  87. features_distance_to_recent_low:
    5.1371
  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 : 0.0994
  99. obi_top10 : 0.0508
  100. micro_price : 1.95186642
  101. spread_pct : 0.025623
  102. mid_price : 1.95165
  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 : 0.097
  111. obi_top5_std : 0.0016
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7176
  115. aggregation_tick : 0.01
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : range
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-05-29 14:00:00
        [price] => 1.7098
        [kind] => low
        [label] => LL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-29 17:00:00
        [price] => 1.8076
        [kind] => high
        [label] => HH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-29 22:00:00
        [price] => 1.7361
        [kind] => low
        [label] => HL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-30 02:00:00
        [price] => 1.7797
        [kind] => high
        [label] => LH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-30 04:00:00
        [price] => 1.7236
        [kind] => low
        [label] => LL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-30 18:00:00
        [price] => 1.8539
        [kind] => high
        [label] => HH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-30 19:00:00
        [price] => 1.8218
        [kind] => low
        [label] => HL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-30 23:00:00
        [price] => 1.8054
        [kind] => low
        [label] => LL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-31 00:00:00
        [price] => 1.9045
        [kind] => high
        [label] => HH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-31 02:00:00
        [price] => 1.8363
        [kind] => low
        [label] => HL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-31 06:00:00
        [price] => 1.8936
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-31 08:00:00
        [price] => 1.8455
        [kind] => low
        [label] => HL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-31 12:00:00
        [price] => 1.924
        [kind] => high
        [label] => HH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-31 14:00:00
        [price] => 1.8529
        [kind] => low
        [label] => HL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-31 15:00:00
        [price] => 1.921
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-31 19:00:00
        [price] => 1.8333
        [kind] => low
        [label] => LL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-06-01 00:00:00
        [price] => 1.9446
        [kind] => high
        [label] => HH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-06-01 01:00:00
        [price] => 1.8949
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-06-01 04:00:00
        [price] => 2.02
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-06-01 11:00:00
        [price] => 1.8741
        [kind] => low
        [label] => LL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-31 12:15:00
        [price] => 1.924
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-31 14:15:00
        [price] => 1.8529
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-31 15:30:00
        [price] => 1.921
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-31 17:00:00
        [price] => 1.8451
        [kind] => low
        [label] => LL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-31 17:45:00
        [price] => 1.8751
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-31 19:00:00
        [price] => 1.8333
        [kind] => low
        [label] => LL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-31 22:15:00
        [price] => 1.9065
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-31 23:30:00
        [price] => 1.8822
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-06-01 00:45:00
        [price] => 1.9446
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-06-01 01:45:00
        [price] => 1.8949
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-06-01 04:00:00
        [price] => 2.02
        [kind] => high
        [label] => HH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-06-01 04:45:00
        [price] => 1.9508
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-06-01 05:00:00
        [price] => 2.0003
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-06-01 06:00:00
        [price] => 1.921
        [kind] => low
        [label] => LL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-06-01 07:15:00
        [price] => 1.9619
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-06-01 09:45:00
        [price] => 1.9184
        [kind] => low
        [label] => HL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-06-01 10:15:00
        [price] => 1.9592
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-06-01 11:45:00
        [price] => 1.8741
        [kind] => low
        [label] => LL
    )
    
  161. bos_level_long : 1.9446
  162. bos_level_short : 0
  163. strategy_details
  164. levels_hl_price:
    1.8741
  165. levels_hl_timestamp: 2026-06-01 11:00:00
  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:
    1.8741
  170. strategy_details
  171. demand_zone_top:
    1.8307
  172. demand_zone_bottom:
    1.8054
  173. demand_zone_mid:
    1.81805
  174. demand_zone_freshness: tested
  175. demand_zone_strength:
    0.9142
  176. strategy_details
  177. supply_zone_top:
    2.02
  178. supply_zone_bottom:
    1.9508
  179. supply_zone_mid:
    1.9854
  180. supply_zone_freshness: weak
  181. supply_zone_strength:
    0.8209
  182. ¸
  183. regimes
  184. 1H : bull_high
  185. 15m : bull_high
  186. ¸

Signaux confirmants (2)

# Heure Entry Δ
1 08:55 1.94320000 0%
2 09:00 1.94320000 0%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 87%

Trend

Trend Strength
0.067
Persistence
0.500
High Δ ATR
1.781
Low Δ ATR
-0.491

Current Swing

Amp ATR
3.609
Speed
0.516
Efficiency
0.397

Structure

Retracement
1.166
Extension
2.936
Compression
0.973
Entropy
1.000
Breakout Str.
-1.309
Dist High ATR
-1.647
Dist Low ATR
1.800
31 pivots · 30 swings · Last pivot: ↓ 1.8741 @ bar 148

Trend Analyzer 1H

1H ↑ up up_range_grind
Confidence 50%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum grind
volatility expansion
risk premium
htf unknown
Scores
Direction Score 0.609
Strength Score 0.533
Quality Score 0.346
Cleanliness Score 0.258
Structural Quality 0.418
Pullback Score 1.000
Exhaustion Score 0.185
Continuation Score 0.563
Structure Score 0.427
Volatility Expansion 0.969
Momentum Type Score 0.641
Risk Score 0.775
Features
Ema20 Slope
0.026
Ema50 Slope
0.045
Ema Alignment Score
1.000
Price Vs Ema20
0.637
Price Vs Ema50
1.449
Recent Hh Hl Score
0.600
Recent Lh Ll Score
0.400
Last Bos Direction
-1.000
Bars Since Last Bos
1.000
Candle Overlap Ratio
1.000
Wick Ratio
0.483
Trend Efficiency
0.397
Impulse Strength
3.609
Directional Candle Ratio
0.600
Pullback Depth Ratio
1.166
Pullback Depth Atr
3.744
Extension From Mean
1.449
Impulse Decay Score
0.000
Opposing Wick Pressure
0.234
Volatility Percentile
0.960
Volatility Delta
0.290
Body Ratio
0.602
Closes Position Ratio
0.572
Slope Consistency
0.726
Range Position
0.775
Distance To Recent High
-1.489
Distance To Recent Low
5.137
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7176ms Confidence avant OB : 79%79%

Order Book Imbalance

OBI Top 5 0.099
avg 0.097 ± 0.002
OBI Top 10 0.051

Microstructure

Mid Price
1.9517
Micro Price
1.9519
Spread
0.0256%

📌 Time Data

Start at Closed at Duration
01 Jun 2026
08:55:15
01 Jun 2026
11:40:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.9432 1.8699 2.1266 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 1.9432
  • Stop Loss: 1.8699
  • Take Profit: 2.1266

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.8699 - 1.9432 = -0.0733

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.9432 - 2.1266 = -0.1834

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.1834 / -0.0733 = 2.502

📌 Position Size

Amount Margin Quantity Leverage
211.9402 100 109.0676 2.12
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 -0.0733

Taille de position = 8 / -0.0733 = -109.14

Taille de position USD = -109.14 x 1.9432 = -212.08

Donc, tu peux acheter -109.14 avec un stoploss a 1.8699

Avec un position size USD de -212.08$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -109.14 x -0.0733 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -109.14 x -0.1834 = 20.02

Si Take Profit atteint, tu gagneras 20.02$

Résumé

  • Taille de position -109.14
  • Taille de position USD -212.08
  • Perte potentielle 8
  • Gain potentiel 20.02
  • Risk-Reward Ratio 2.502

📌 Peformances

TP % Target TP $ Target
9.44 % 20 $
SL % Target SL $ Target
3.77 % 7.99 $
PNL PNL %
20 $ 9.44
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.2351 % 32.74 % 17

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.0898
            [stop_loss] => 1.8699
            [rr_ratio] => 2
            [closed_at] => 2026-06-01 15:40:00+00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.12645
            [stop_loss] => 1.8699
            [rr_ratio] => 2.5
            [closed_at] => 2026-06-01 15:40:00+00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.1631
            [stop_loss] => 1.8699
            [rr_ratio] => 3
            [closed_at] => 2026-06-01 16:20:00+00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.19975
            [stop_loss] => 1.8699
            [rr_ratio] => 3.5
            [closed_at] => 2026-06-01 16:35:00+00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 2.2364
            [stop_loss] => 1.8699
            [rr_ratio] => 4
            [closed_at] => 2026-06-01 16:40:00+00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 2.27305
            [stop_loss] => 1.8699
            [rr_ratio] => 4.5
            [closed_at] => 2026-06-01 16:45:00+00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.016
            [max_drawdown] => 0.024
            [rr_ratio] => 0.67
            [high] => 1.95920000
            [low] => 1.91920000
            [mfe_pct] => 0.82
            [mae_pct] => 1.24
            [mfe_mae_ratio] => 0.67
            [candles_analyzed] => 24
            [start_at] => 2026-06-01T08:55:15-04:00
            [end_at] => 2026-06-01T10:55:15-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.3363
            [max_drawdown] => 0.024
            [rr_ratio] => 14.01
            [high] => 2.27950000
            [low] => 1.91920000
            [mfe_pct] => 17.31
            [mae_pct] => 1.24
            [mfe_mae_ratio] => 14.01
            [candles_analyzed] => 84
            [start_at] => 2026-06-01T08:55:15-04:00
            [end_at] => 2026-06-01T15:55:15-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.95920000
            [high_after] => 2.27950000
            [low_before] => 1.87410000
            [low_after] => 1.91920000
            [is_new_high] => 1
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#26 / n/a OUT
seuil : top 15 · score du 01/06/2026 08:00
Signal Confidence
79 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime