31 May 2026 at 02:14:26

Long Trade on TON (BosPullback)

With 150.94 TON at 1.887$ per unit. Take profit: 2.0191 (7.02 %) & Stop Loss: 1.8336 (2.81 %)

Long BosPullback on TON (31 May 2026 at 02:14:26 to 15:10:00 - 12 hours )

With 150.9389 TON at 1.8866$ per unit.

Position size of 284.7614 $
Take profit at 2.0191 (7.02 %) and Stop Loss at 1.8336 (2.81 %)

That's a 2.5 RR Trade
Duration: 12 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 2.6
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 : range

rules_regime : range_low

rules_regime_5m : range_low

Score : 0

ml_regime : range_high

rules_regime : bear_high

rules_regime_4h : bear_medium

tf_aligned : 1

31/05 02:01

BTC Correlation Coin Market Regime

1H_regime : bull_high

15m_regime : bull_medium_confirmed

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↔ neutral transition bearish_transition moderate grind compression bear_high
69%
30/05 20:00
1h ↑ up transition bullish_transition strong explosive normal range_high
54%
30/05 23:00
15m ↑ up transition bullish_transition moderate balanced compression bull_medium
70%
30/05 23:15
5m ↓ down transition bearish_transition moderate fading compression bear_low
55%
30/05 23:35

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.79
  3. reason: bos_pullback_long|score=2|shallow|bars_since_bos=6|retests=1|break_atr=1.35|prog=0.74|zone=tested
  4. stop_price: 1.83359843
  5. tp_price: 2.01910392
  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 : pullback_up
  11. confidence : 0.842
  12. trend_strength : 0.1607
  13. trend_persistence : 0.6667
  14. high_delta_atr : 1.8925
  15. low_delta_atr : 1.1557
  16. current_swing_amp_atr : 2.3966
  17. current_swing_speed : 1.19829
  18. current_swing_efficiency : 0.405
  19. retracement_ratio : 0.6882
  20. extension_ratio : 4.1585
  21. compression_score : 0.6867
  22. swing_entropy : 0.9183
  23. breakout_strength : -3.037
  24. distance_to_last_high_atr : -0.6695
  25. distance_to_last_low_atr : 1.8813
  26. pivot_count : 27
  27. swing_count : 26
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    1.8363
  31. last_pivot_index:
    145
  32. ¸
  33. trend_analyzer_1h
  34. direction : up
  35. phase : transition
  36. structure : bullish_transition
  37. breakout_state : breakout_confirmed
  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 : mid_range
  45. confidence : 0.585
  46. state : up_bullish_transition_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.7104
  49. scores_strength_score:
    0.5372
  50. scores_quality_score:
    0.3704
  51. scores_cleanliness_score:
    0.2313
  52. scores_structural_quality:
    0.4842
  53. scores_pullback_score:
    0.6882
  54. scores_exhaustion_score:
    0.3094
  55. scores_continuation_score:
    0.5663
  56. scores_structure_score:
    0.6331
  57. scores_volatility_expansion:
    0.88
  58. scores_momentum_type_score:
    0.6852
  59. scores_risk_score:
    0.5491
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.1417
  62. features_ema50_slope:
    0.0848
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    1.9155
  65. features_price_vs_ema50:
    2.79
  66. features_recent_hh_hl_score:
    0.45
  67. features_recent_lh_ll_score:
    0.55
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    6
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5374
  72. features_trend_efficiency:
    0.405
  73. features_impulse_strength:
    3.6232
  74. features_directional_candle_ratio:
    0.6
  75. features_pullback_depth_ratio:
    0.6882
  76. features_pullback_depth_atr:
    2.4935
  77. features_extension_from_mean:
    2.79
  78. features_impulse_decay_score:
    0
  79. features_opposing_wick_pressure:
    0.261
  80. features_volatility_percentile:
    0.8
  81. features_volatility_delta:
    0.7494
  82. features_body_ratio:
    0.6112
  83. features_closes_position_ratio:
    0.6097
  84. features_slope_consistency:
    0.9401
  85. features_range_position:
    0.5491
  86. features_distance_to_recent_high:
    -5.1394
  87. features_distance_to_recent_low:
    6.258
  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 : 0.0738
  99. obi_top10 : 0.0006
  100. micro_price : 1.8876
  101. spread_pct : 0.052991
  102. mid_price : 1.8876
  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 : 0.0854
  111. obi_top5_std : 0.0165
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7209
  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] => 2026-05-26 17:00:00
        [price] => 1.8746
        [kind] => low
        [label] => HL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-26 19:00:00
        [price] => 2.0318
        [kind] => high
        [label] => HH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-27 13:00:00
        [price] => 1.8564
        [kind] => low
        [label] => LL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-27 15:00:00
        [price] => 1.9158
        [kind] => high
        [label] => LH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-28 04:00:00
        [price] => 1.7623
        [kind] => low
        [label] => LL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-28 09:00:00
        [price] => 1.825
        [kind] => high
        [label] => LH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-28 14:00:00
        [price] => 1.7176
        [kind] => low
        [label] => LL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-28 18:00:00
        [price] => 1.7943
        [kind] => high
        [label] => LH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-29 04:00:00
        [price] => 1.7512
        [kind] => low
        [label] => HL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-29 08:00:00
        [price] => 1.7992
        [kind] => high
        [label] => LH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-29 14:00:00
        [price] => 1.7098
        [kind] => low
        [label] => LL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-29 17:00:00
        [price] => 1.8076
        [kind] => high
        [label] => HH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-29 22:00:00
        [price] => 1.7361
        [kind] => low
        [label] => HL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-30 02:00:00
        [price] => 1.7797
        [kind] => high
        [label] => LH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-30 04:00:00
        [price] => 1.7236
        [kind] => low
        [label] => LL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-30 18:00:00
        [price] => 1.8539
        [kind] => high
        [label] => HH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-30 19:00:00
        [price] => 1.8218
        [kind] => low
        [label] => HL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-30 23:00:00
        [price] => 1.8054
        [kind] => low
        [label] => LL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-31 00:00:00
        [price] => 1.9045
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-31 02:00:00
        [price] => 1.8363
        [kind] => low
        [label] => HL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-30 06:30:00
        [price] => 1.7643
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-30 07:30:00
        [price] => 1.7492
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-30 08:30:00
        [price] => 1.7622
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-30 10:45:00
        [price] => 1.749
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-30 13:00:00
        [price] => 1.7634
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-30 13:30:00
        [price] => 1.751
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-30 15:15:00
        [price] => 1.792
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-30 15:30:00
        [price] => 1.7723
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-30 16:15:00
        [price] => 1.833
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-30 16:30:00
        [price] => 1.8046
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-30 17:15:00
        [price] => 1.8479
        [kind] => high
        [label] => HH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-30 17:30:00
        [price] => 1.8182
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-30 18:15:00
        [price] => 1.8539
        [kind] => high
        [label] => HH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-30 19:30:00
        [price] => 1.8218
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-30 20:30:00
        [price] => 1.8604
        [kind] => high
        [label] => HH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-30 23:30:00
        [price] => 1.8054
        [kind] => low
        [label] => LL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-31 00:45:00
        [price] => 1.9045
        [kind] => high
        [label] => HH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-31 02:45:00
        [price] => 1.8363
        [kind] => low
        [label] => HL
    )
    
  161. bos_level_long : 1.8539
  162. bos_level_short : 0
  163. strategy_details
  164. levels_hl_price:
    1.8363
  165. levels_hl_timestamp: 2026-05-31 02:00:00
  166. levels_hh_price:
    1.9045
  167. levels_lh_price:
    1.9045
  168. levels_lh_timestamp: 2026-05-31 00:00:00
  169. levels_ll_price:
    1.8363
  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:
    1.9158
  178. supply_zone_bottom:
    1.8564
  179. supply_zone_mid:
    1.8861
  180. supply_zone_freshness: weak
  181. supply_zone_strength:
    0.6789
  182. ¸
  183. regimes
  184. 1H : bull_high
  185. 15m : bull_medium_confirmed
  186. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 84%

Trend

Trend Strength
0.161
Persistence
0.667
High Δ ATR
1.893
Low Δ ATR
1.156

Current Swing

Amp ATR
2.397
Speed
1.198
Efficiency
0.405

Structure

Retracement
0.688
Extension
4.159
Compression
0.687
Entropy
0.918
Breakout Str.
-3.037
Dist High ATR
-0.670
Dist Low ATR
1.881
27 pivots · 26 swings · Last pivot: ↓ 1.8363 @ bar 145

Trend Analyzer 1H

1H ↑ up up_bullish_transition_balanced
Confidence 59%

Context

phase transition
structure bullish_transition
breakout breakout_confirmed
quality volatile
strength moderate
exhaustion low
momentum balanced
volatility volatile_reversal
risk mid_range
htf unknown
Scores
Direction Score 0.710
Strength Score 0.537
Quality Score 0.370
Cleanliness Score 0.231
Structural Quality 0.484
Pullback Score 0.688
Exhaustion Score 0.309
Continuation Score 0.566
Structure Score 0.633
Volatility Expansion 0.880
Momentum Type Score 0.685
Risk Score 0.549
Features
Ema20 Slope
0.142
Ema50 Slope
0.085
Ema Alignment Score
1.000
Price Vs Ema20
1.916
Price Vs Ema50
2.790
Recent Hh Hl Score
0.450
Recent Lh Ll Score
0.550
Last Bos Direction
1.000
Bars Since Last Bos
6.000
Candle Overlap Ratio
1.000
Wick Ratio
0.537
Trend Efficiency
0.405
Impulse Strength
3.623
Directional Candle Ratio
0.600
Pullback Depth Ratio
0.688
Pullback Depth Atr
2.494
Extension From Mean
2.790
Impulse Decay Score
0.000
Opposing Wick Pressure
0.261
Volatility Percentile
0.800
Volatility Delta
0.749
Body Ratio
0.611
Closes Position Ratio
0.610
Slope Consistency
0.940
Range Position
0.549
Distance To Recent High
-5.139
Distance To Recent Low
6.258
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7209ms Confidence avant OB : 79%79%

Order Book Imbalance

OBI Top 5 0.074
avg 0.085 ± 0.017
OBI Top 10 0.001

Microstructure

Mid Price
1.8876
Micro Price
1.8876
Spread
0.0530%

📌 Time Data

Start at Closed at Duration
31 May 2026
02:14:26
31 May 2026
15:10:00
12 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.8866 1.8336 2.0191 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 1.8866
  • Stop Loss: 1.8336
  • Take Profit: 2.0191

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.8336 - 1.8866 = -0.053

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.8866 - 2.0191 = -0.1325

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.1325 / -0.053 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
284.7614 100 150.9389 2.85
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 -0.053

Taille de position = 8 / -0.053 = -150.94

Taille de position USD = -150.94 x 1.8866 = -284.76

Donc, tu peux acheter -150.94 avec un stoploss a 1.8336

Avec un position size USD de -284.76$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -150.94 x -0.053 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -150.94 x -0.1325 = 20

Si Take Profit atteint, tu gagneras 20$

Résumé

  • Taille de position -150.94
  • Taille de position USD -284.76
  • Perte potentielle 8
  • Gain potentiel 20
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
7.02 % 20 $
SL % Target SL $ Target
2.81 % 8 $
PNL PNL %
-8 $ -2.81
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.8252 % 100.57 % 22

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0028999999999999
            [max_drawdown] => 0.041
            [rr_ratio] => 0.07
            [high] => 1.88950000
            [low] => 1.84560000
            [mfe_pct] => 0.15
            [mae_pct] => 2.17
            [mfe_mae_ratio] => 0.07
            [candles_analyzed] => 24
            [start_at] => 2026-05-31T02:14:26-04:00
            [end_at] => 2026-05-31T04:14:26-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0374
            [max_drawdown] => 0.0411
            [rr_ratio] => 0.91
            [high] => 1.92400000
            [low] => 1.84550000
            [mfe_pct] => 1.98
            [mae_pct] => 2.18
            [mfe_mae_ratio] => 0.91
            [candles_analyzed] => 84
            [start_at] => 2026-05-31T02:14:26-04:00
            [end_at] => 2026-05-31T09:14:26-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.89360000
            [high_after] => 1.90710000
            [low_before] => 1.83630000
            [low_after] => 1.84550000
            [is_new_high] => 1
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#8 / n/a OK
seuil : top 15 · score du 31/05/2026 02:00
Signal Confidence
79 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime