Long Trade on ATH 08 Sep 2025 at 21:26:14
Take profit at 0.04455 (5.47 %) and Stop Loss at 0.04109 (2.72 %)
Long Trade on ATH 08 Sep 2025 at 21:26:14
Take profit at 0.04455 (5.47 %) and Stop Loss at 0.04109 (2.72 %)
Position size of 292.7181 $
Take profit at 0.04455 (5.47 %) and Stop Loss at 0.04109 (2.72 %)
That's a 2.01 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.73 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.77 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.69 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : neutral rules_regime : range_low rules_regime_5m : range_low |
1H_regime : bull_high 15m_regime : bull_high 5m_regime : bear_high |
| BTC Correlation | Score |
|---|---|
|
5m : 0.024582 15m : 0.267233 1H : -0.002255 |
0 |
Indicators:
112011
-0.00579594
111362
0.024582
111832
-0.0037716
111410
0.267233
111343
0.000172781
111362
-0.002255
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 08 Sep 2025 21:26:14 |
08 Sep 2025 22:20:00 |
53 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.04224 | 0.04109 | 0.04455 | 2.01 | 0.005084 |
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:
Calcul:
Risque (distance jusqu'au stop loss) :
SL - E = 0.04109 - 0.04224 = -0.00115
Récompense (distance jusqu'au take profit):
E - TP = 0.04224 - 0.04455 = -0.00231
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.00231 / -0.00115 = 2.0087
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 292.7181 | 100 | 6929.8801 | 2.93 |
1. Déterminer le montant risqué sur ce trade
Risk Amount = Capital x Risk per trade
Paramètres:
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:
Taille de position = 8 / -0.00115 = -6956.52
Taille de position USD = -6956.52 x 0.04224 = -293.84
Donc, tu peux acheter -6956.52 avec un stoploss a 0.04109
Avec un position size USD de -293.84$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -6956.52 x -0.00115 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -6956.52 x -0.00231 = 16.07
Si Take Profit atteint, tu gagneras 16.07$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 5.47 % | 16.01 $ |
| SL % Target | SL $ Target |
|---|---|
| 2.72 % | 7.97 $ |
| PNL | PNL % |
|---|---|
| -7.97 $ | -2.72 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -3.054 % | 112.18 % | 9 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.04455
[entry_price] => 0.04224
[stop_loss] => 0.040975
[rr_ratio] => 1.83
[sl_change_percentage] => 1.1
[closed_at] => 2025-09-08 22:20:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.04455
[entry_price] => 0.04224
[stop_loss] => 0.04086
[rr_ratio] => 1.67
[sl_change_percentage] => 1.2
[closed_at] => 2025-09-08 23:00:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.04455
[entry_price] => 0.04224
[stop_loss] => 0.040745
[rr_ratio] => 1.55
[sl_change_percentage] => 1.3
[closed_at] => 2025-09-08 23:00:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00086
[max_drawdown] => 0.00152
[rr_ratio] => 0.57
[high] => 0.04310000
[low] => 0.04072000
[mfe_pct] => 2.04
[mae_pct] => 3.6
[mfe_mae_ratio] => 0.57
[candles_analyzed] => 24
[start_at] => 2025-09-08T21:26:14-04:00
[end_at] => 2025-09-08T23:26:14-04:00
)
[long_term] => Array
(
[max_gain] => 0.00155
[max_drawdown] => 0.00152
[rr_ratio] => 1.02
[high] => 0.04379000
[low] => 0.04072000
[mfe_pct] => 3.67
[mae_pct] => 3.6
[mfe_mae_ratio] => 1.02
[candles_analyzed] => 84
[start_at] => 2025-09-08T21:26:14-04:00
[end_at] => 2025-09-09T04:26:14-04:00
)
[breakout] => Array
(
[high_before] => 0.04942000
[high_after] => 0.04379000
[low_before] => 0.04210000
[low_after] => 0.04072000
[is_new_high] =>
[is_new_low] =>
)
)